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4. Atmospheric Correction of Satellite Ocean-Color Imagery During the PACE Era.

Author

Frouin, Robert, Franz, Bryan, Ibrahim, Amir, Knobelspiesse, Kirk, Ahmad, Ziauddin, Cairns, Brian, Chowdhary, Jacek, Dierssen, Heidi, Tan, Jing, Dubovik, Oleg, Huang, Xin, Davis, Anthony, Kalashnikova, Olga, Thompson, David, Remer, Lorraine, Boss, Emmanuel, Coddington, Odele, Deschamps, Pierre-Yves, Gao, Bo-Cai, Gross, Lydwine, Hasekamp, Otto, Omar, Ali, Pelletier, Bruno, Ramon, Didier, Steinmetz, François, and Zhai, Peng-Wang

Subjects
PACE mission, aerosols, atmospheric correction, hyper-spectral remote sensing, multi-angle polarimetry, ocean color
Abstract

The Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission will carry into space the Ocean Color Instrument (OCI), a spectrometer measuring at 5nm spectral resolution in the ultraviolet (UV) to near infrared (NIR) with additional spectral bands in the shortwave infrared (SWIR), and two multi-angle polarimeters that will overlap the OCI spectral range and spatial coverage, i. e., the Spectrometer for Planetary Exploration (SPEXone) and the Hyper-Angular Rainbow Polarimeter (HARP2). These instruments, especially when used in synergy, have great potential for improving estimates of water reflectance in the post Earth Observing System (EOS) era. Extending the top-of-atmosphere (TOA) observations to the UV, where aerosol absorption is effective, adding spectral bands in the SWIR, where even the most turbid waters are black and sensitivity to the aerosol coarse mode is higher than at shorter wavelengths, and measuring in the oxygen A-band to estimate aerosol altitude will enable greater accuracy in atmospheric correction for ocean color science. The multi-angular and polarized measurements, sensitive to aerosol properties (e.g., size distribution, index of refraction), can further help to identify or constrain the aerosol model, or to retrieve directly water reflectance. Algorithms that exploit the new capabilities are presented, and their ability to improve accuracy is discussed. They embrace a modern, adapted heritage two-step algorithm and alternative schemes (deterministic, statistical) that aim at inverting the TOA signal in a single step. These schemes, by the nature of their construction, their robustness, their generalization properties, and their ability to associate uncertainties, are expected to become the new standard in the future. A strategy for atmospheric correction is presented that ensures continuity and consistency with past and present ocean-color missions while enabling full exploitation of the new dimensions and possibilities. Despite the major improvements anticipated with the PACE instruments, gaps/issues remain to be filled/tackled. They include dealing properly with whitecaps, taking into account Earth-curvature effects, correcting for adjacency effects, accounting for the coupling between scattering and absorption, modeling accurately water reflectance, and acquiring a sufficiently representative dataset of water reflectance in the UV to SWIR. Dedicated efforts, experimental and theoretical, are in order to gather the necessary information and rectify inadequacies. Ideas and solutions are put forward to address the unresolved issues. Thanks to its design and characteristics, the PACE mission will mark the beginning of a new era of unprecedented accuracy in ocean-color radiometry from space.

Published
2019

5. An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI)

Author

Sathyendranath, Shubha, Brewin, Robert JW, Brockmann, Carsten, Brotas, Vanda, Calton, Ben, Chuprin, Andrei, Cipollini, Paolo, Couto, André B, Dingle, James, Doerffer, Roland, Donlon, Craig, Dowell, Mark, Farman, Alex, Grant, Mike, Groom, Steve, Horseman, Andrew, Jackson, Thomas, Krasemann, Hajo, Lavender, Samantha, Martinez-Vicente, Victor, Mazeran, Constant, Mélin, Frédéric, Moore, Timothy S, Müller, Dagmar, Regner, Peter, Roy, Shovonlal, Steele, Chris J, Steinmetz, François, Swinton, John, Taberner, Malcolm, Thompson, Adam, Valente, André, Zühlke, Marco, Brando, Vittorio E, Feng, Hui, Feldman, Gene, Franz, Bryan A, Frouin, Robert, Gould, Richard W, Hooker, Stanford B, Kahru, Mati, Kratzer, Susanne, Mitchell, B Greg, Muller-Karger, Frank E, Sosik, Heidi M, Voss, Kenneth J, Werdell, Jeremy, and Platt, Trevor

Subjects
Climate Action, ocean colour, water-leaving radiance, remote-sensing reflectance, phytoplankton, chlorophyll-a, inherent optical properties, Climate Change Initiative, optical water classes, Essential Climate Variable, uncertainty characterisation, Analytical Chemistry, Environmental Science and Management, Ecology, Distributed Computing, Electrical and Electronic Engineering
Abstract

Ocean colour is recognised as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS); and spectrally-resolved water-leaving radiances (or remote-sensing reflectances) in the visible domain, and chlorophyll-a concentration are identified as required ECV products. Time series of the products at the global scale and at high spatial resolution, derived from ocean-colour data, are key to studying the dynamics of phytoplankton at seasonal and inter-annual scales; their role in marine biogeochemistry; the global carbon cycle; the modulation of how phytoplankton distribute solar-induced heat in the upper layers of the ocean; and the response of the marine ecosystem to climate variability and change. However, generating a long time series of these products from ocean-colour data is not a trivial task: algorithms that are best suited for climate studies have to be selected from a number that are available for atmospheric correction of the satellite signal and for retrieval of chlorophyll-a concentration; since satellites have a finite life span, data from multiple sensors have to be merged to create a single time series, and any uncorrected inter-sensor biases could introduce artefacts in the series, e.g., different sensors monitor radiances at different wavebands such that producing a consistent time series of reflectances is not straightforward. Another requirement is that the products have to be validated against in situ observations. Furthermore, the uncertainties in the products have to be quantified, ideally on a pixel-by-pixel basis, to facilitate applications and interpretations that are consistent with the quality of the data. This paper outlines an approach that was adopted for generating an ocean-colour time series for climate studies, using data from the MERIS (MEdium spectral Resolution Imaging Spectrometer) sensor of the European Space Agency; the SeaWiFS (Sea-viewing Wide-Field-of-view Sensor) and MODIS-Aqua (Moderate-resolution Imaging Spectroradiometer-Aqua) sensors from the National Aeronautics and Space Administration (USA); and VIIRS (Visible and Infrared Imaging Radiometer Suite) from the National Oceanic and Atmospheric Administration (USA). The time series now covers the period from late 1997 to end of 2018. To ensure that the products meet, as well as possible, the requirements of the user community, marine-ecosystem modellers, and remote-sensing scientists were consulted at the outset on their immediate and longer-term requirements as well as on their expectations of ocean-colour data for use in climate research. Taking the user requirements into account, a series of objective criteria were established, against which available algorithms for processing ocean-colour data were evaluated and ranked. The algorithms that performed best with respect to the climate user requirements were selected to process data from the satellite sensors. Remote-sensing reflectance data from MODIS-Aqua, MERIS, and VIIRS were band-shifted to match the wavebands of SeaWiFS. Overlapping data were used to correct for mean biases between sensors at every pixel. The remote-sensing reflectance data derived from the sensors were merged, and the selected in-water algorithm was applied to the merged data to generate maps of chlorophyll concentration, inherent optical properties at SeaWiFS wavelengths, and the diffuse attenuation coefficient at 490 nm. The merged products were validated against in situ observations. The uncertainties established on the basis of comparisons with in situ data were combined with an optical classification of the remote-sensing reflectance data using a fuzzy-logic approach, and were used to generate uncertainties (root mean square difference and bias) for each product at each pixel.

Published
2019

6. Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.

Author

Siegel, David, Miller, Robert, Humm, David, Izenberg, Noam, Keller, Mary, Morgan, Frank, Frouin, Robert, Dekker, Arnold, Gardner, Royal, Goodman, James, Schaeffer, Blake, Franz, Bryan, Pahlevan, Nima, Mannino, Antonio, Concha, Javier, Ackleson, Steven, Cavanaugh, Kyle, Romanou, Anastasia, Tzortziou, Maria, Boss, Emmanuel, Pavlick, Ryan, Freeman, Anthony, Rousseaux, Cecile, Dunne, John, Long, Matthew, Klein, Eduardo, McKinley, Galen, Goes, Joachim, Letelier, Ricardo, Kavanaugh, Maria, Roffer, Mitchell, Bracher, Astrid, Arrigo, Kevin, Dierssen, Heidi, Zhang, Xiaodong, Muller-Karger, Frank, Best, Ben, Guralnick, Robert, Moisan, John, Sosik, Heidi, Mouw, Colleen, Barnard, Andrew, Palacios, Sherry, Roesler, Collin, Drakou, Evangelia, Appeltans, Ward, Jetz, Walter, Ade, Christiana, Turpie, Kevin, Davis, Frank, Roberts, Dar, Kudela, Raphe|Raphael, and Hestir, Erin

Subjects
H4 imaging, aquatic, coastal zone, ecology, essential biodiversity variables, hyperspectral, remote sensing, vegetation, wetland, Biodiversity, Oceans and Seas, Phytoplankton, Remote Sensing Technology
Abstract

The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration

Published
2018

7. Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems

Author

Muller-Karger, Frank E, Hestir, Erin, Ade, Christiana, Turpie, Kevin, Roberts, Dar A, Siegel, David, Miller, Robert J, Humm, David, Izenberg, Noam, Keller, Mary, Morgan, Frank, Frouin, Robert, Dekker, Arnold G, Gardner, Royal, Goodman, James, Schaeffer, Blake, Franz, Bryan A, Pahlevan, Nima, Mannino, Antonio G, Concha, Javier A, Ackleson, Steven G, Cavanaugh, Kyle C, Romanou, Anastasia, Tzortziou, Maria, Boss, Emmanuel S, Pavlick, Ryan, Freeman, Anthony, Rousseaux, Cecile S, Dunne, John, Long, Matthew C, Klein, Eduardo, McKinley, Galen A, Goes, Joachim, Letelier, Ricardo, Kavanaugh, Maria, Roffer, Mitchell, Bracher, Astrid, Arrigo, Kevin R, Dierssen, Heidi, Zhang, Xiaodong, Davis, Frank W, Best, Ben, Guralnick, Robert, Moisan, John, Sosik, Heidi M, Kudela, Raphael, Mouw, Colleen B, Barnard, Andrew H, Palacios, Sherry, Roesler, Collin, Drakou, Evangelia G, Appeltans, Ward, and Jetz, Walter

Subjects
Life Below Water, Life on Land, Biodiversity, Oceans and Seas, Phytoplankton, Remote Sensing Technology, aquatic, coastal zone, ecology, essential biodiversity variables, H4 imaging, hyperspectral, remote sensing, vegetation, wetland, Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences, Ecology
Abstract

The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration

Published
2018

9. Water-leaving contribution to polarized radiation field over ocean.

Author

Zhai, Peng-Wang, Knobelspiesse, Kirk, Ibrahim, Amir, Franz, Bryan, Hu, Yongxiang, Gao, Meng, and Frouin, Robert

Abstract

The top-of-atmosphere (TOA) radiation field from a coupled atmosphere-ocean system (CAOS) includes contributions from the atmosphere, surface, and water body. Atmospheric correction of ocean color imagery is to retrieve water-leaving radiance from the TOA measurement, from which ocean bio-optical properties can be obtained. Knowledge of the absolute and relative magnitudes of water-leaving signal in the TOA radiation field is important for designing new atmospheric correction algorithms and developing retrieval algorithms for new ocean biogeochemical parameters. In this paper we present a systematic sensitivity study of water-leaving contribution to the TOA radiation field, from 340 nm to 865 nm, with polarization included. Ocean water inherent optical properties are derived from bio-optical models for two kinds of waters, one dominated by phytoplankton (PDW) and the other by non-algae particles (NDW). In addition to elastic scattering, Raman scattering and fluorescence from dissolved organic matter in ocean waters are included. Our sensitivity study shows that the polarized reflectance is minimized for both CAOS and ocean signals in the backscattering half plane, which leads to numerical instability when calculating water leaving relative contribution, the ratio between polarized water leaving and CAOS signals. If the backscattering plane is excluded, the water-leaving polarized signal contributes less than 9% to the TOA polarized reflectance for PDW in the whole spectra. For NDW, the polarized water leaving contribution can be as much as 20% in the wavelength range from 470 to 670 nm. For wavelengths shorter than 452 nm or longer than 865 nm, the water leaving contribution to the TOA polarized reflectance is in general smaller than 5% for NDW. For the TOA total reflectance, the water-leaving contribution has maximum values ranging from 7% to 16% at variable wavelengths from 400 nm to 550 nm from PDW. The water leaving contribution to the TOA total reflectance can be as large as 35% for NDW, which is in general peaked at 550 nm. Both the total and polarized reflectances from water-leaving contributions approach zero in the ultraviolet and near infrared bands. These facts can be used as constraints or guidelines when estimating the water leaving contribution to the TOA reflectance for new atmospheric correction algorithms for ocean color imagery.

Published
2017

11. THE PLANKTON, AEROSOL, CLOUD, OCEAN ECOSYSTEM MISSION : Status, Science, Advances

Author

Werdell, P. Jeremy, Behrenfeld, Michael J., Bontempi, Paula S., Boss, Emmanuel, Cairns, Brian, Davis, Gary T., Franz, Bryan A., Gliese, Ulrik B., Gorman, Eric T., Hasekamp, Otto, Knobelspiesse, Kirk D., Mannino, Antonio, Martins, J. Vanderlei, McClain, Charles R., Meister, Gerhard, and Remer, Lorraine A.

Published
2019

12. Exploring pathways to project success through project delivery team integration: a qualitative comparative analysis.

Author

Franz, Bryan W. and Olopade, Joseph

Subjects
COMPARATIVE studies, BUILDING design & construction, TEAMS, SUCCESS, CONSTRUCTION projects
Abstract

Integration within project delivery teams can improve project outcomes in the building construction industry. However, integration across multiple firms and disciplines can be more challenging to manage, when compared to functionally organized, or siloed, teams. Given that resources to manage integration are limited and that most teams are only partially integrated in practice, this research seeks to explore pathways for their success. Using data collected from ten completed projects in the U.S., a fuzzy-set qualitative comparative analysis was performed to identify which combinations of six dimensions of integration were sufficient for improved project performance. The analysis revealed six distinct and highly consistent pathways to success, as evaluated by the criteria of being on-budget, on-time, or achieving the planned sustainable certification. Across all pathways, having a single team focus and equitable team relationships were the only dimensions consistently found in pathways leading to desirable project outcomes. Other dimensions, such as co-location, seamless operation across organizational boundaries, and a no-blame culture were found in pathways to both desirable and undesirable project outcomes, depending on their combination with other dimensions. These results contribute to theories on implementing team integration, suggesting that fully integrated teams are not always necessary for success. Instead, integrated teams that can work collaboratively, while still maintaining organizational separation or autonomy, can be as effective. While the study does not enable the identification of all possible pathways to success, it provides guidance to practitioners by highlighting a small subset of pathways, giving greater flexibility in managing integration within their teams. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Introduction

Author

Boyer, Tim, primary, Bartow-Gillies, Ellen, additional, Abida, A., additional, Ades, Melanie, additional, Adler, Robert, additional, Adusumilli, Susheel, additional, Agyakwah, W., additional, Ahmasuk, Brandon, additional, Aldeco, Laura S., additional, Alexe, Mihai, additional, Alfaro, Eric J., additional, Allan, Richard P., additional, Allgood, Adam, additional, Alves, Lincoln. M., additional, Amador, Jorge A., additional, Anderson, John, additional, Andrade, B., additional, Anneville, Orlane, additional, Aono, Yasuyuki, additional, Arguez, Anthony, additional, Arosio, Carlo, additional, Atkinson, C., additional, Augustine, John A., additional, Avalos, Grinia, additional, Azorin-Molina, Cesar, additional, Backensto, Stacia A., additional, Bader, Stephan, additional, Baez, Julian, additional, Baiman, Rebecca, additional, Ballinger, Thomas J., additional, Banwell, Alison F., additional, Bardin, M. Yu, additional, Barichivich, Jonathan, additional, Barnes, John E., additional, Barreira, Sandra, additional, Beadling, Rebecca L., additional, Beck, Hylke E., additional, Becker, Emily J., additional, Bekele, E., additional, Bellido, Guillem Martín, additional, Bellouin, Nicolas, additional, Benedetti, Angela, additional, Benestad, Rasmus, additional, Berne, Christine, additional, Berner, Logan. T., additional, Bernhard, Germar H., additional, Bhatt, Uma S., additional, Bhuiyan, A. E., additional, Bigalke, Siiri, additional, Biló, Tiago, additional, Bissolli, Peter, additional, Bjerke Jarle, W., additional, Blagrave, Kevin, additional, Blake, Eric S., additional, Blenkinsop, Stephen, additional, Blunden, Jessica, additional, Bochníček, Oliver, additional, Bock, Olivier, additional, Bodenstein, Barbara, additional, Bodin, Xavier, additional, Bosilovich, Michael, additional, Boucher, Olivier, additional, Bozkurt, Deniz, additional, Brettschneider, Brian, additional, Bringas, Francis G., additional, Bringas, Francis, additional, Buechler, Dennis, additional, Buehler, Stefan A., additional, Bukunt, Brandon, additional, Calderón, Blanca, additional, Camargo, Suzana J., additional, Campbell, Jayaka, additional, Campos, Diego, additional, Carrea, Laura, additional, Carter, Brendan R., additional, Cetinić, Ivona, additional, Chambers, Don P., additional, Chan, Duo, additional, Chandler, Elise, additional, Chang, Kai-Lan, additional, Chen, Hua, additional, Chen, Lin, additional, Cheng, Lijing, additional, Cheng, Vincent Y. S., additional, Chomiak, Leah, additional, Christiansen, Hanne H., additional, Christy, John R., additional, Chung, Eui-Seok, additional, Ciasto, Laura M., additional, Clarke, Leonardo, additional, Clem, Kyle R., additional, Clingan, Scott, additional, Coelho, Caio A.S., additional, Cohen, Judah L., additional, Coldewey-Egbers, Melanie, additional, Colwell, Steve, additional, Cooper, Owen R., additional, Cornes, Richard C., additional, Correa, Kris, additional, Costa, Felipe, additional, Covey, Curt, additional, Coy, Lawrence, additional, Créatux, Jean-François, additional, Crhova, Lenka, additional, Crimmins, Theresa, additional, Cronin, Meghan F., additional, Cropper, Thomas, additional, Crotwell, Molly, additional, Culpepper, Joshua, additional, Cunha, Ana P., additional, Cusicanqui, Diego, additional, Datta, Rajashree T., additional, Davis, Sean M., additional, De Bock, Veerle, additional, de Jeu, Richard A. M., additional, De Laat, Jos, additional, Decharme, Bertrand, additional, Degenstein, Doug, additional, Delaloye, Reynald, additional, Demircan, Mesut, additional, Derksen, Chris, additional, Deus, Ricardo, additional, Dhurmea, K. R., additional, Diamond, Howard J., additional, Dirkse, S., additional, Divine, Dmitry, additional, Dokulil, Martin T., additional, Donat, Markus G., additional, Dong, Shenfu, additional, Dorigo, Wouter A., additional, Drost Jensen, Caroline, additional, Druckenmiller, Matthew L., additional, Drumond, Paula, additional, du Plessis, Marcel, additional, Dugan, Hilary A., additional, Dulamsuren, Dashkhuu, additional, Dunmire, Devon, additional, Dunn, Robert J. H., additional, Durre, Imke, additional, Dusek, Robert, additional, Dutton, Geoff, additional, Duveiller, Gregory, additional, Ekici, Mithat, additional, Elias Chereque, Alesksandra, additional, ElKharrim, M., additional, Epstein, Howard E., additional, Espinoza, Jhan-Carlo, additional, Estilow, Thomas W., additional, Estrella, Nicole, additional, Fauchereau, Nicolas, additional, Fausto, Robert S., additional, Feely, Richard A., additional, Fenimore, Chris, additional, Fereday, David, additional, Fettweis, Xavier, additional, Fioletov, vitali E., additional, Flemming, Johannes, additional, Fogarty, Chris, additional, Fogt, Ryan L., additional, Forbes, Bruce C., additional, Foster, Michael J., additional, Franz, Bryan A., additional, Freeman, Natalie M., additional, Fricker, Helen A., additional, Frith, Stacey M., additional, Froidevaux, Lucien, additional, Frost, Gerald V. (JJ), additional, Fuhrman, Steven, additional, Füllekrug, Martin, additional, Ganter, Catherine, additional, Gao, Meng, additional, Gardner, Alex S., additional, Garforth, Judith, additional, Garg, Jay, additional, Gerland, Sebastian, additional, Gibbes, Badin, additional, Gille, Sarah T., additional, Gilson, John, additional, Gleason, Karin, additional, Gobron, Nadine, additional, Goetz, Scott J., additional, Goldenberg, Stanley B., additional, Goni, Gustavo, additional, Goodman, Steven, additional, Goto, Atsushi, additional, Grooß, Jens-Uwe, additional, Gruber, Alexander, additional, Gu, Guojun, additional, Guard, Charles “Chip” P., additional, Hagos, S., additional, Hahn, Sebastian, additional, Haimberger, Leopold, additional, Hall, Bradley D., additional, Hamlington, Benjamin D., additional, Hanna, Edward, additional, Hanssen-Bauer, Inger, additional, Harnos, Daniel S., additional, Harris, Ian, additional, He, Qiong, additional, Heim, Richard R., additional, Hellström, Sverker, additional, Hemming, Deborah L., additional, Hendricks, Stefan, additional, Hicks, J., additional, Hidalgo, Hugo G., additional, Hirschi, Martin, additional, Ho, Shu-peng (Ben), additional, Hobbs, W., additional, Holmes, Robert M., additional, Holzworth, Robert, additional, Hrbáček, Filip, additional, Hu, Guojie, additional, Hu, Zeng-Zhen, additional, Huang, Boyin, additional, Huang, Hongjie, additional, Hurst, Dale F., additional, Ialongo, Iolanda, additional, Inness, Antje, additional, Isaksen, Ketil, additional, Ishii, Masayoshi, additional, Jadra, Gerardo, additional, Jevrejeva, Svetlana, additional, John, Viju O., additional, Johns, W., additional, Johnsen, Bjørn, additional, Johnson, Bryan, additional, Johnson, Gregory C., additional, Jones, Philip D., additional, Jones, Timothy, additional, Josey, Simon A., additional, Jumaux, G., additional, Junod, Robert, additional, Kääb, Andreas, additional, Kabidi, K., additional, Kaiser, Johannes W., additional, Kaler, Robb S.A., additional, Kaleschke, Lars, additional, Kaufmann, Viktor, additional, Kazemi, Amin Fazl, additional, Keller, Linda M., additional, Kellerer-Pirklbauer, Andreas, additional, Kendon, Mike, additional, Kennedy, John, additional, Kent, Elizabeth C., additional, Kerr, Kenneth, additional, Khan, Valentina, additional, Khiem, Mai Van, additional, Kidd, Richard, additional, Kim, Mi Ju, additional, Kim, Seong-Joong, additional, Kipling, Zak, additional, Klotzbach, Philip J., additional, Knaff, John A., additional, Koppa, Akash, additional, Korshunova, Natalia N., additional, Kraemer, Benjamin M., additional, Kramarova, Natalya A., additional, Kruger, A. C., additional, Kruger, Andries, additional, Kumar, Arun, additional, L’Heureux, Michelle, additional, La Fuente, Sofia, additional, Laas, Alo, additional, Labe, Zachary M., additional, Lader, Rick, additional, Lakatos, Mónika, additional, Lakkala, Kaisa, additional, Lam, Hoang Phuc, additional, Lan, Xin, additional, Landschützer, Peter, additional, Landsea, Chris W., additional, Lang, Timothy, additional, Lankhorst, Matthias, additional, Lantz, Kathleen O., additional, Lara, Mark J., additional, Lavado-Casimiro, Waldo, additional, Lavers, David A., additional, Lazzara, Matthew A., additional, Leblanc, Thierry, additional, Lee, Tsz-Cheung, additional, Leibensperger, Eric M., additional, Lennard, Chris, additional, Leuliette, Eric, additional, Leung, Kinson H. Y., additional, Lieser, Jan L., additional, Likso, Tanja, additional, Lin, I-I., additional, Lindsey, Jackie, additional, Liu, Yakun, additional, Locarnini, Ricardo, additional, Loeb, Norman G., additional, Loomis, Bryant D., additional, Lorrey, Andrew M., additional, Loyola, Diego, additional, Lu, Rui, additional, Lumpkin, Rick, additional, Luo, Jing-Jia, additional, Luojus, Kari, additional, Lyman, John M., additional, Maberly, Stephen C., additional, Macander, Matthew J., additional, MacFerrin, Michael, additional, MacGilchrist, Graeme A., additional, MacLennan, Michelle L., additional, Madelon, Remi, additional, Magee, Andrew D., additional, Magnin, Florence, additional, Mamen, Jostein, additional, Mankoff, Ken D., additional, Manney, Gloria L., additional, Marcinonienė, Izolda, additional, Marengo, Jose A., additional, Marjan, Mohammadi, additional, Martínez, Ana E., additional, Massom, Robert A., additional, Matsuzaki, Shin-Ichiro, additional, May, Linda, additional, Mayer, Michael, additional, Mazloff, Matthew R., additional, McAfee, Stephanie A., additional, McBride, C., additional, McCabe, Matthew F., additional, McClelland, James W., additional, McPhaden, Michael J., additional, Mcvicar, Tim R., additional, Mears, Carl A., additional, Meier, Walter N., additional, Mekonnen, A., additional, Menzel, Annette, additional, Merchant, Christopher J., additional, Merrifield, Mark A., additional, Meyer, Michael F., additional, Meyers, Tristan, additional, Mikolajczyk, David E., additional, Miller, John B., additional, Miralles, Diego G., additional, Misevicius, Noelia, additional, Mishonov, Alexey, additional, Mitchum, Gary T., additional, Moat, Ben I., additional, Moesinger, Leander, additional, Moise, Aurel, additional, Molina-Carpio, Jorge, additional, Monet, Ghislaine, additional, Montzka, Stephan A., additional, Moon, Twila A., additional, Moore, G. W. K., additional, Mora, Natali, additional, Morán, Johnny, additional, Morehen, Claire, additional, Morice, Colin, additional, Mostafa, A. E., additional, Mote, Thomas L., additional, Mrekaj, Ivan, additional, Mudryk, Lawrence, additional, Mühle, Jens, additional, Müller, Rolf, additional, Nance, David, additional, Nash, Eric R., additional, Nerem, R. Steven, additional, Newman, Paul A., additional, Nicolas, Julien P., additional, Nieto, Juan J., additional, Noetzli, Jeannette, additional, Noll, Ben, additional, Norton, Taylor, additional, Nyland, Kelsey E., additional, O’Keefe, John, additional, Ochwat, Naomi, additional, Oikawa, Yoshinori, additional, Okunaka, Yuka, additional, Osborn, Timothy J., additional, Overland, James E., additional, Park, Taejin, additional, Parrington, Mark, additional, Parrish, Julia K., additional, Pasch, Richard J., additional, Pascual Ramírez, Reynaldo, additional, Pellet, Cécile, additional, Pelto, Mauri S., additional, Perčec Tadić, Melita, additional, Perovich, Donald K., additional, Petersen, Guðrún Nína, additional, Petersen, Kyle, additional, Petropavlovskikh, Irina, additional, Petty, Alek, additional, Pezza, Alexandre B., additional, Pezzi, Luciano P., additional, Phillips, Coda, additional, Phoenix, Gareth K., additional, Pierson, Don, additional, Pinto, Izidine, additional, Pires, Vanda, additional, Pitts, Michael, additional, Po-Chedley, Stephen, additional, Pogliotti, Paolo, additional, Poinar, Kristin, additional, Polvani, Lorenzo, additional, Preimesberger, Wolfgang, additional, Price, Colin, additional, Pulkkanen, Merja, additional, Purkey, Sarah G., additional, Qiu, Bo, additional, Quisbert, Kenny, additional, Quispe, Willy R., additional, Rajeevan, M., additional, Ramos, Andrea M., additional, Randel, William J., additional, Rantanen, Mika, additional, Raphael, Marilyn N., additional, Reagan, James, additional, Recalde, Cristina, additional, Reid, Phillip, additional, Rémy, Samuel, additional, Reyes Kohler, Alejandra J., additional, Ricciardulli, Lucrezia, additional, Richardson, Andrew D., additional, Ricker, Robert, additional, Robinson, David A., additional, Robjhon, M., additional, Rocha, Willy, additional, Rodell, Matthew, additional, Rodriguez Guisado, Esteban, additional, Rodriguez-Fernandez, Nemesio, additional, Romanovsky, Vladimir E., additional, Ronchail, Josyane, additional, Rosencrans, Matthew, additional, Rosenlof, Karen H., additional, Rösner, Benjamin, additional, Rösner, Henrieke, additional, Rozanov, Alexei, additional, Rozkošný, Jozef, additional, Rubek, Frans, additional, Rusanovskaya, Olga O., additional, Rutishauser, This, additional, Sabeerali, C. T., additional, Salinas, Roberto, additional, Sánchez-Lugo, Ahira, additional, Santee, Michelle L., additional, Santini, Marcelo, additional, Sato, Katsunari, additional, Sawaengphokhai, Parnchai, additional, Sayouri, A., additional, Scambos, Theodore, additional, Schenzinger, Verena, additional, Schimanke, Semjon, additional, Schlegel, Robert W., additional, Schmid, Claudia, additional, Schmid, Martin, additional, Schneider, Udo, additional, Schreck, Carl J., additional, Schultz, Cristina, additional, _, _, additional, Segele, Z. T., additional, Sensoy, Serhat, additional, Serbin, Shawn P., additional, Serreze, Mark C., additional, Setiawan, Amsari Mudzakir, additional, Sezaki, Fumi, additional, Sharma, Sapna, additional, Sharp, Jonathan D., additional, Sheffield, Gay, additional, Shi, Jia-Rui, additional, Shi, Lei, additional, Shiklomanov, Alexander I., additional, Shiklomanov, Nikolay I., additional, Shimaraeva, Svetlana V., additional, Shukla, R., additional, Siegel, David A., additional, Silow, Eugene A., additional, Sima, F., additional, Simmons, Adrian J., additional, Smeed, David A., additional, Smith, Adam, additional, Smith, Matthew M., additional, Smith, Sharon L., additional, Soden, Brian J., additional, Sofieva, Viktoria, additional, Souza, Everaldo, additional, Sparks, Tim H., additional, Spence-Hemmings, Jacqueline, additional, Spencer, Robert G. M., additional, Spillane, Sandra, additional, Sreejith, O. P., additional, Srivastava, A. K., additional, Stackhouse, Paul W., additional, Stammerjohn, Sharon, additional, Stauffer, Ryan, additional, Steinbrecht, Wolfgang, additional, Steiner, Andrea K., additional, Stella, Jose L., additional, Stephenson, Tannecia S., additional, Stradiotti, Pietro, additional, Strahan, Susan E., additional, Streletskiy, Dmitry A., additional, Surendran, Divya E., additional, Suslova, Anya, additional, Svendby, Tove, additional, Sweet, William, additional, Takahashi, Kiyotoshi, additional, Takemura, Kazuto, additional, Tank, Suzanne E., additional, Taylor, Michael A., additional, Tedesco, Marco, additional, Thackeray, Stephen J., additional, Thiaw, W. M., additional, Thibert, Emmanuel, additional, Thoman, Richard L., additional, Thompson, Andrew F., additional, Thompson, Philip R., additional, Tian-Kunze, Xiangshan, additional, Timmermans, Mary-Louise, additional, Timofeyev, Maxim A., additional, Tobin, Skie, additional, Tømmervik, Hans, additional, Tourpali, Kleareti, additional, Trescilo, Lidia, additional, Tretiakov, Mikhail, additional, Trewin, Blair C., additional, Triñanes, Joaquin A., additional, Trotman, Adrian, additional, Truchelut, Ryan E., additional, Trusel, Luke D., additional, Tye, Mari R., additional, van der A, Ronald, additional, van der Schalie, Robin, additional, van der Schrier, Gerard, additional, Van Hemert, Caroline, additional, Van Meerbeeck, Cedric J., additional, van vliet, Arnold J.H., additional, Vazife, Ahad, additional, Verburg, Piet, additional, Vernier, Jean-Paul, additional, Vimont, Isaac J., additional, Virts, Katrina, additional, Vivero, Sebastián, additional, Volkov, Denis L., additional, Vömel, Holger, additional, Vose, Russell S., additional, Walker, Donald (Skip) A., additional, Walsh, John E., additional, Wang, Bin, additional, Wang, Hui, additional, Wang, Muyin, additional, Wang, Ray H. J., additional, Wang, Xinyue, additional, Wanninkhof, Rik, additional, Warnock, Taran, additional, Weber, Mark, additional, Webster, Melinda, additional, Wehrlé, Adrian, additional, Wen, Caihong, additional, Westberry, Toby K., additional, Widlansky, Matthew J., additional, Wiese, David N., additional, Wild, Jeannette D., additional, Wille, Jonathan D., additional, Willems, An, additional, Willett, Kate M., additional, Williams, Earle, additional, Willis, J., additional, Wong, Takmeng, additional, Wood, Kimberly M., additional, Woolway, Richard Iestyn, additional, Xie, Ping-Ping, additional, Yang, Daqing, additional, Yin, Xungang, additional, Yin, Ziqi, additional, Zeng, Zhenzhong, additional, Zhang, Huai-min, additional, Zhang, Li, additional, Zhang, Peiqun, additional, Zhao, Lin, additional, Zhou, Xinjia, additional, Zhu, Zhiwei, additional, Ziemke, Jerry R., additional, Ziese, Markus, additional, Zolkos, Scott, additional, Zotta, Ruxandra M., additional, Zou, Cheng-Zhi, additional, Allen, Jessicca, additional, Camper, Amy V., additional, Haley, Bridgette O., additional, Hammer, Gregory, additional, Love-Brotak, S. Elizabeth, additional, Ohlmann, Laura, additional, Noguchi, Lukas, additional, Riddle, Deborah B., additional, and Veasey, Sara W., additional

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2023
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17. Global Climate

Author

Dunn, Robert J. H., primary, Miller, John B., additional, Willett, Kate M., additional, Gobron, Nadine, additional, Ades, Melanie, additional, Adler, Robert, additional, Alexe, Mihai, additional, Allan, Richard P., additional, Anderson, John, additional, Anneville, Orlane, additional, Aono, Yasuyuki, additional, Arguez, Anthony, additional, Arosio, Carlo, additional, Augustine, John A., additional, Azorin-Molina, Cesar, additional, Barichivich, Jonathan, additional, Barnes, John E., additional, Beck, Hylke E., additional, Bellouin, Nicolas, additional, Benedetti, Angela, additional, Blagrave, Kevin, additional, Blenkinsop, Stephen, additional, Bock, Olivier, additional, Bodin, Xavier, additional, Bosilovich, Michael, additional, Boucher, Olivier, additional, Buechler, Dennis, additional, Buehler, Stefan A., additional, Campos, Diego, additional, Carrea, Laura, additional, Chang, Kai-Lan, additional, Christiansen, Hanne H., additional, Christy, John R., additional, Chung, Eui-Seok, additional, Ciasto, Laura M., additional, Clingan, Scott, additional, Coldewey-Egbers, Melanie, additional, Cooper, Owen R., additional, Cornes, Richard C., additional, Covey, Curt, additional, Créatux, Jean-François, additional, Crimmins, Theresa, additional, Cropper, Thomas, additional, Crotwell, Molly, additional, Culpepper, Joshua, additional, Cusicanqui, Diego, additional, Davis, Sean M., additional, de Jeu, Richard A. M., additional, Degenstein, Doug, additional, Delaloye, Reynald, additional, Dokulil, Martin T., additional, Donat, Markus G., additional, Dorigo, Wouter A., additional, Dugan, Hilary A., additional, Durre, Imke, additional, Dutton, Geoff, additional, Duveiller, Gregory, additional, Estilow, Thomas W., additional, Estrella, Nicole, additional, Fereday, David, additional, Fioletov, Vitali E., additional, Flemming, Johannes, additional, Foster, Michael J., additional, Franz, Bryan, additional, Frith, Stacey M., additional, Froidevaux, Lucien, additional, Füllekrug, Martin, additional, Garforth, Judith, additional, Garg, Jay, additional, Gibbes, Badin, additional, Goodman, Steven, additional, Goto, Atsushi, additional, Gruber, Alexander, additional, Gu, Guojun, additional, Hahn, Sebastian, additional, Haimberger, Leopold, additional, Hall, Bradley D., additional, Harris, Ian, additional, Hemming, Deborah L., additional, Hirschi, Martin, additional, Ho, Shu-peng, additional, Holzworth, Robert, additional, Hrbáček, Filip, additional, Hu, Guojie, additional, Hurst, Dale F., additional, Inness, Antje, additional, Isaksen, Ketil, additional, John, Viju O., additional, Jones, Philip D., additional, Junod, Robert, additional, Kääb, Andreas, additional, Kaiser, Johannes W., additional, Kaufmann, Viktor, additional, Kellerer-Pirklbauer, Andreas, additional, Kent, Elizabeth C., additional, Kidd, Richard, additional, Kipling, Zak, additional, Koppa, Akash, additional, Kraemer, Benjamin M., additional, Kramarova, Natalya, additional, Kruger, Andries, additional, La Fuente, Sofia, additional, Laas, Alo, additional, Lan, Xin, additional, Lang, Timothy, additional, Lantz, Kathleen O., additional, Lavers, David A., additional, Leblanc, Thierry, additional, Leibensperger, Eric M., additional, Lennard, Chris, additional, Liu, Yakun, additional, Loeb, Norman G., additional, Loyola, Diego, additional, Maberly, Stephen C., additional, Madelon, Remi, additional, Magnin, Florence, additional, Matsuzaki, Shin-Ichiro, additional, May, Linda, additional, Mayer, Michael, additional, McCabe, Matthew F., additional, McVicar, Tim R., additional, Mears, Carl A., additional, Menzel, Annette, additional, Merchant, Christopher J., additional, Meyer, Michael F., additional, Miralles, Diego G., additional, Moesinger, Leander, additional, Monet, Ghislaine, additional, Montzka, Stephan A., additional, Morice, Colin, additional, Mrekaj, Ivan, additional, Mühle, Jens, additional, Nance, David, additional, Nicolas, Julien P., additional, Noetzli, Jeannette, additional, Noll, Ben, additional, O’Keefe, John, additional, Osborn, Timothy J., additional, Park, Taejin, additional, Parrington, Mark, additional, Pellet, Cécile, additional, Pelto, Mauri S., additional, Petersen, Kyle, additional, Phillips, Coda, additional, Pierson, Don, additional, Pinto, Izidine, additional, Po-Chedley, Stephen, additional, Pogliotti, Paolo, additional, Polvani, Lorenzo, additional, Preimesberger, Wolfgang, additional, Price, Colin, additional, Pulkkanen, Merja, additional, Randel, William J., additional, Rémy, Samuel, additional, Ricciardulli, Lucrezia, additional, Richardson, Andrew D., additional, Robinson, David A., additional, Rocha, Willy, additional, Rodell, Matthew, additional, Rodriguez-Fernandez, Nemesio, additional, Rosenlof, Karen H., additional, Rozanov, Alexei, additional, Rozkošný, Jozef, additional, Rusanovskaya, Olga O., additional, Rutishauser, This, additional, Sabeerali, C. T., additional, Sánchez-Lugo, Ahira, additional, Sawaengphokhai, Parnchai, additional, Schenzinger, Verena, additional, Schlegel, Robert W., additional, Schmid, Martin, additional, Schneider, Udo, additional, Sezaki, Fumi, additional, Sharma, Sapna, additional, Shi, Lei, additional, Shimaraeva, Svetlana V., additional, Silow, Eugene A., additional, Simmons, Adrian J., additional, Smith, Sharon L., additional, Soden, Brian J., additional, Sofieva, Viktoria, additional, Sparks, Tim H., additional, Sreejith, O.P., additional, Stackhouse, Paul W., additional, Stauffer, Ryan, additional, Steinbrecht, Wolfgang, additional, Steiner, Andrea K., additional, Stradiotti, Pietro, additional, Streletskiy, Dmitry A., additional, Surendran, Divya E., additional, Thackeray, Stephen J., additional, Thibert, Emmanuel, additional, Timofeyev, Maxim A., additional, Tourpali, Kleareti, additional, Tye, Mari R., additional, van der A, Ronald, additional, van der Schalie, Robin, additional, van der Schrier, Gerard, additional, van Vliet, Arnold J.H., additional, Verburg, Piet, additional, Vernier, Jean-Paul, additional, Vimont, Isaac J., additional, Virts, Katrina, additional, Vivero, Sebastián, additional, Vömel, Holger, additional, Vose, Russell S., additional, Wang, Ray H. J., additional, Wang, Xinyue, additional, Warnock, Taran, additional, Weber, Mark, additional, Wiese, David N., additional, Wild, Jeannette D., additional, Williams, Earle, additional, Wong, Takmeng, additional, Woolway, Richard Iestyn, additional, Yin, Xungang, additional, Zeng, Zhenzhong, additional, Zhao, Lin, additional, Zhou, Xinjia, additional, Ziemke, Jerry R., additional, Ziese, Markus, additional, Zotta, Ruxandra M., additional, Zou, Cheng-Zhi, additional, Allen, Jessicca, additional, Camper, Amy V., additional, Haley, Bridgette O., additional, Hammer, Gregory, additional, Love-Brotak, S. Elizabeth, additional, Ohlmann, Laura, additional, Noguchi, Lukas, additional, Riddle, Deborah B., additional, and Veasey, Sara W., additional

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2023
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18. Global Oceans

Author

Johnson, G. C, primary, Lumpkin, R, additional, Atkinson, C, additional, Biló, Tiago, additional, Boyer, Tim, additional, Bringas, Francis, additional, Carter, Brendan R., additional, Cetinić, Ivona, additional, Chambers, Don P., additional, Chan, Duo, additional, Cheng, Lijing, additional, Chomiak, Leah, additional, Cronin, Meghan F., additional, Dong, Shenfu, additional, Feely, Richard A., additional, Franz, Bryan A., additional, Gao, Meng, additional, Garg, Jay, additional, Gilson, John, additional, Goni, Gustavo, additional, Hamlington, Benjamin D., additional, Hobbs, W., additional, Hu, Zeng-Zhen, additional, Huang, Boyin, additional, Ishii, Masayoshi, additional, Jevrejeva, Svetlana, additional, Johns, W., additional, Landschützer, Peter, additional, Lankhorst, Matthias, additional, Leuliette, Eric, additional, Locarnini, Ricardo, additional, Lyman, John M., additional, McPhaden, Michael J., additional, Merrifield, Mark A., additional, Mishonov, Alexey, additional, Mitchum, Gary T., additional, Moat, Ben I., additional, Mrekaj, Ivan, additional, Nerem, R. Steven, additional, Purkey, Sarah G., additional, Qiu, Bo, additional, Reagan, James, additional, Sato, Katsunari, additional, Schmid, Claudia, additional, Sharp, Jonathan D., additional, Siegel, David A., additional, Smeed, David A., additional, Stackhouse, Paul W., additional, Sweet, William, additional, Thompson, Philip R., additional, Triñanes, Joaquin A., additional, Volkov, Denis L., additional, Wanninkhof, Rik, additional, Wen, Caihong, additional, Westberry, Toby K., additional, Widlansky, Matthew J., additional, Willis, J., additional, Xie, Ping-Ping, additional, Yin, Xungang, additional, Zhang, Huai-min, additional, Zhang, Li, additional, Allen, Jessicca, additional, Camper, Amy V., additional, Haley, Bridgette O., additional, Hammer, Gregory, additional, Love-Brotak, S. Elizabeth, additional, Ohlmann, Laura, additional, Noguchi, Lukas, additional, Riddle, Deborah B., additional, and Veasey, Sara W., additional

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2023
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20. Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models

Author

Gao, Meng, primary, Franz, Bryan A., additional, Zhai, Peng-Wang, additional, Knobelspiesse, Kirk, additional, Sayer, Andrew, additional, Xu, Xiaoguang, additional, Martins, Vanderlei, additional, Cairns, Brian, additional, Castellanos, Patricia, additional, Fu, Guangliang, additional, Hannadige, Neranga, additional, Hasekamp, Otto, additional, Hu, Yongxiang, additional, Ibrahim, Amir, additional, Patt, Frederick, additional, Puthukkudy, Anin, additional, and Werdell, P. Jeremy, additional

Published
2023
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22. Introduction STATE OF THE CLIMATE IN 2022

Author

Boyer, Tim, Bartow-Gillies, Ellen, Abida, A, Ades, Melanie, Adler, Robert, Adusumilli, Susheel, Agyakwah, W, Ahmasuk, Brandon, Aldeco, Laura S, Alexe, Mihai, Alfaro, Eric J, Allan, Richard P, Allgood, Adam, Alves, Lincoln M, Amador, Jorge A, Anderson, John, Andrade, B, Anneville, Orlane, Aono, Yasuyuki, Arguez, Anthony, Arosio, Carlo, Atkinson, C, Augustine, John A, Avalos, Grinia, Azorin-Molina, Cesar, Backensto, Stacia A, Bader, Stephan, Baez, Julian, Baiman, Rebecca, Ballinger, Thomas J, Banwell, Alison F, Bardin, M Yu, Barichivich, Jonathan, Barnes, John E, Barreira, Sandra, Beadling, Rebecca L, Beck, Hylke E, Becker, Emily J, Bekele, E, Bellido, Guillem Martín, Bellouin, Nicolas, Benedetti, Angela, Benestad, Rasmus, Berne, Christine, Berner, Logan T, Bernhard, Germar H, Bhatt, Uma S, Bhuiyan, AE, Bigalke, Siiri, Biló, Tiago, Bissolli, Peter, Bjerke Jarle, W, Blagrave, Kevin, Blake, Eric S, Blenkinsop, Stephen, Blunden, Jessica, Bochníček, Oliver, Bock, Olivier, Bodin, Xavier, Bosilovich, Michael, Boucher, Olivier, Bozkurt, Deniz, Brettschneider, Brian, Bringas, Francis G, Bringas, Francis, Buechler, Dennis, Buehler, Stefan A, Bukunt, Brandon, Calderón, Blanca, Camargo, Suzana J, Campbell, Jayaka, Campos, Diego, Carrea, Laura, Carter, Brendan R, Cetinić, Ivona, Chambers, Don P, Chan, Duo, Chandler, Elise, Chang, Kai-Lan, Chen, Hua, Chen, Lin, Cheng, Lijing, Cheng, Vincent YS, Chomiak, Leah, Christiansen, Hanne H, Christy, John R, Chung, Eui-Seok, Ciasto, Laura M, Clarke, Leonardo, Clem, Kyle R, Clingan, Scott, Coelho, Caio AS, Cohen, Judah L, Coldewey-Egbers, Melanie, Colwell, Steve, Cooper, Owen R, Cornes, Richard C, Correa, Kris, Costa, Felipe, Covey, Curt, Coy, Lawrence, Créatux, Jean-François, Crhova, Lenka, Crimmins, Theresa, Cronin, Meghan F, Cropper, Thomas, Crotwell, Molly, Culpepper, Joshua, Cunha, Ana P, Cusicanqui, Diego, Datta, Rajashree T, Davis, Sean M, De Bock, Veerle, de Jeu, Richard AM, De Laat, Jos, Decharme, Bertrand, Degenstein, Doug, Delaloye, Reynald, Demircan, Mesut, Derksen, Chris, Deus, Ricardo, Dhurmea, KR, Diamond, Howard J, Dirkse, S, Divine, Dmitry, Dokulil, Martin T, Donat, Markus G, Dong, Shenfu, Dorigo, Wouter A, Drost Jensen, Caroline, Druckenmiller, Matthew L, Drumond, Paula, du Plessis, Marcel, Dugan, Hilary A, Dulamsuren, Dashkhuu, Dunmire, Devon, Dunn, Robert JH, Durre, Imke, Dutton, Geoff, Duveiller, Gregory, Ekici, Mithat, Elias Chereque, Alesksandra, ElKharrim, M, Epstein, Howard E, Espinoza, Jhan-Carlo, Estilow, Thomas W, Estrella, Nicole, Fauchereau, Nicolas, Fausto, Robert S, Feely, Richard A, Fenimore, Chris, Fereday, David, Fettweis, Xavier, Fioletov, vitali E, Flemming, Johannes, Fogarty, Chris, Fogt, Ryan L, Forbes, Bruce C, Foster, Michael J, Franz, Bryan A, Freeman, Natalie M, Fricker, Helen A, Frith, Stacey M, Froidevaux, Lucien, Frost, Gerald V, Fuhrman, Steven, Füllekrug, Martin, Ganter, Catherine, Gao, Meng, Gardner, Alex S, Garforth, Judith, Garg, Jay, Gerland, Sebastian, Gibbes, Badin, Gille, Sarah T, Gilson, John, Gleason, Karin, Gobron, Nadine, Goetz, Scott J, Goldenberg, Stanley B, Goni, Gustavo, Goodman, Steven, Goto, Atsushi, Grooß, Jens-Uwe, Gruber, Alexander, Gu, Guojun, Guard, Charles Chip P, Hagos, S, Hahn, Sebastian, Haimberger, Leopold, Hall, Bradley D, Hamlington, Benjamin D, Hanna, Edward, Hanssen-Bauer, Inger, Harnos, Daniel S, Harris, Ian, He, Qiong, Heim, Richard R, Hellström, Sverker, Hemming, Deborah L, Hendricks, Stefan, Hicks, J, Hidalgo, Hugo G, Hirschi, Martin, Ho, Shu-peng, Hobbs, W, Holmes, Robert M, Holzworth, Robert, Hrbáček, Filip, Hu, Guojie, Hu, Zeng-Zhen, Huang, Boyin, Huang, Hongjie, Hurst, Dale F, Ialongo, Iolanda, Inness, Antje, Isaksen, Ketil, Ishii, Masayoshi, Jadra, Gerardo, Jevrejeva, Svetlana, John, Viju O, Johns, W, Johnsen, Bjørn, Johnson, Bryan, Johnson, Gregory C, Jones, Philip D, Jones, Timothy, Josey, Simon A, Jumaux, G, Junod, Robert, Kääb, Andreas, Kabidi, K, Kaiser, Johannes W, Kaler, Robb SA, Kaleschke, Lars, Kaufmann, Viktor, Kazemi, Amin Fazl, Keller, Linda M, Kellerer-Pirklbauer, Andreas, Kendon, Mike, Kennedy, John, Kent, Elizabeth C, Kerr, Kenneth, Khan, Valentina, Khiem, Mai Van, Kidd, Richard, Kim, Mi Ju, Kim, Seong-Joong, Kipling, Zak, Klotzbach, Philip J, Knaff, John A, Koppa, Akash, Korshunova, Natalia N, Kraemer, Benjamin M, Kramarova, Natalya A, Kruger, AC, Kruger, Andries, Kumar, Arun, L’Heureux, Michelle, La Fuente, Sofia, Laas, Alo, Labe, Zachary M, Lader, Rick, Lakatos, Mónika, Lakkala, Kaisa, Lam, Hoang Phuc, Lan, Xin, Landschützer, Peter, Landsea, Chris W, Lang, Timothy, Lankhorst, Matthias, Lantz, Kathleen O, Lara, Mark J, Lavado-Casimiro, Waldo, Lavers, David A, Lazzara, Matthew A, Leblanc, Thierry, Lee, Tsz-Cheung, Leibensperger, Eric M, Lennard, Chris, Leuliette, Eric, Leung, Kinson HY, Lieser, Jan L, Likso, Tanja, Lin, I-I, Lindsey, Jackie, Liu, Yakun, Locarnini, Ricardo, Loeb, Norman G, Loomis, Bryant D, Lorrey, Andrew M, Loyola, Diego, Lu, Rui, Lumpkin, Rick, Luo, Jing-Jia, Luojus, Kari, Lyman, John M, Maberly, Stephen C, Macander, Matthew J, MacFerrin, Michael, MacGilchrist, Graeme A, MacLennan, Michelle L, Madelon, Remi, Magee, Andrew D, Magnin, Florence, Mamen, Jostein, Mankoff, Ken D, Manney, Gloria L, Marcinonienė, Izolda, Marengo, Jose A, Marjan, Mohammadi, Martínez, Ana E, Massom, Robert A, Matsuzaki, Shin-Ichiro, May, Linda, Mayer, Michael, Mazloff, Matthew R, McAfee, Stephanie A, McBride, C, McCabe, Matthew F, McClelland, James W, McPhaden, Michael J, Mcvicar, Tim R, Mears, Carl A, Meier, Walter N, Mekonnen, A, Menzel, Annette, Merchant, Christopher J, Merrifield, Mark A, Meyer, Michael F, Meyers, Tristan, Mikolajczyk, David E, Miller, John B, Miralles, Diego G, Misevicius, Noelia, Mishonov, Alexey, Mitchum, Gary T, Moat, Ben I, Moesinger, Leander, Moise, Aurel, Molina-Carpio, Jorge, Monet, Ghislaine, Montzka, Stephan A, Moon, Twila A, Moore, GWK, Mora, Natali, Morán, Johnny, Morehen, Claire, Morice, Colin, Mostafa, AE, Mote, Thomas L, Mrekaj, Ivan, Mudryk, Lawrence, Mühle, Jens, Müller, Rolf, Nance, David, Nash, Eric R, Nerem, R Steven, Newman, Paul A, Nicolas, Julien P, Nieto, Juan J, Noetzli, Jeannette, Noll, Ben, Norton, Taylor, Nyland, Kelsey E, O’Keefe, John, Ochwat, Naomi, Oikawa, Yoshinori, Okunaka, Yuka, Osborn, Timothy J, Overland, James E, Park, Taejin, Parrington, Mark, Parrish, Julia K, Pasch, Richard J, Pascual Ramírez, Reynaldo, Pellet, Cécile, Pelto, Mauri S, Perčec Tadić, Melita, Perovich, Donald K, Petersen, Guðrún Nína, Petersen, Kyle, Petropavlovskikh, Irina, Petty, Alek, Pezza, Alexandre B, Pezzi, Luciano P, Phillips, Coda, Phoenix, Gareth K, Pierson, Don, Pinto, Izidine, Pires, Vanda, Pitts, Michael, Po-Chedley, Stephen, Pogliotti, Paolo, Poinar, Kristin, Polvani, Lorenzo, Preimesberger, Wolfgang, Price, Colin, Pulkkanen, Merja, Purkey, Sarah G, Qiu, Bo, Quisbert, Kenny, Quispe, Willy R, Rajeevan, M, Ramos, Andrea M, Randel, William J, Rantanen, Mika, Raphael, Marilyn N, Reagan, James, Recalde, Cristina, Reid, Phillip, Rémy, Samuel, Reyes Kohler, Alejandra J, Ricciardulli, Lucrezia, Richardson, Andrew D, Ricker, Robert, Robinson, David A, Robjhon, M, Rocha, Willy, Rodell, Matthew, Rodriguez Guisado, Esteban, Rodriguez-Fernandez, Nemesio, Romanovsky, Vladimir E, Ronchail, Josyane, Rosencrans, Matthew, Rosenlof, Karen H, Rösner, Benjamin, Rösner, Henrieke, Rozanov, Alexei, Rozkošný, Jozef, Rubek, Frans, Rusanovskaya, Olga O, Rutishauser, This, Sabeerali, CT, Salinas, Roberto, Sánchez-Lugo, Ahira, Santee, Michelle L, Santini, Marcelo, Sato, Katsunari, Sawaengphokhai, Parnchai, Sayouri, A, Scambos, Theodore, Schenzinger, Verena, Schimanke, Semjon, Schlegel, Robert W, Schmid, Claudia, Schmid, Martin, Schneider, Udo, Schreck, Carl J, Schultz, Cristina, _, _, Segele, ZT, Sensoy, Serhat, Serbin, Shawn P, Serreze, Mark C, Setiawan, Amsari Mudzakir, Sezaki, Fumi, Sharma, Sapna, Sharp, Jonathan D, Sheffield, Gay, Shi, Jia-Rui, Shi, Lei, Shiklomanov, Alexander I, Shiklomanov, Nikolay I, Shimaraeva, Svetlana V, Shukla, R, Siegel, David A, Silow, Eugene A, Sima, F, Simmons, Adrian J, Smeed, David A, Smith, Adam, Smith, Sharon L, Soden, Brian J, Sofieva, Viktoria, Souza, Everaldo, Sparks, Tim H, Spence-Hemmings, Jacqueline, Spencer, Robert GM, Spillane, Sandra, Sreejith, OP, Srivastava, AK, Stackhouse, Paul W, Stammerjohn, Sharon, Stauffer, Ryan, Steinbrecht, Wolfgang, Steiner, Andrea K, Stella, Jose L, Stephenson, Tannecia S, Stradiotti, Pietro, Strahan, Susan E, Streletskiy, Dmitry A, Surendran, Divya E, Suslova, Anya, Svendby, Tove, Sweet, William, Takahashi, Kiyotoshi, Takemura, Kazuto, Tank, Suzanne E, Taylor, Michael A, Tedesco, Marco, Thackeray, Stephen J, Thiaw, WM, Thibert, Emmanuel, Thoman, Richard L, Thompson, Andrew F, Thompson, Philip R, Tian-Kunze, Xiangshan, Timmermans, Mary-Louise, Timofeyev, Maxim A, Tobin, Skie, Tømmervik, Hans, Tourpali, Kleareti, Trescilo, Lidia, Tretiakov, Mikhail, Trewin, Blair C, Triñanes, Joaquin A, Trotman, Adrian, Truchelut, Ryan E, Trusel, Luke D, Tye, Mari R, van der A, Ronald, van der Schalie, Robin, van der Schrier, Gerard, Van Meerbeeck, Cedric J, van vliet, Arnold JH, Vazife, Ahad, Verburg, Piet, Vernier, Jean-Paul, Vimont, Isaac J, Virts, Katrina, Vivero, Sebastián, Volkov, Denis L, Vömel, Holger, Vose, Russell S, Walker, Donald A, Walsh, John E, Wang, Bin, Wang, Hui, Wang, Muyin, Wang, Ray HJ, Wang, Xinyue, Wanninkhof, Rik, Warnock, Taran, Weber, Mark, Webster, Melinda, Wehrlé, Adrian, Wen, Caihong, Westberry, Toby K, Widlansky, Matthew J, Wiese, David N, Wild, Jeannette D, Wille, Jonathan D, Willems, An, Willett, Kate M, Williams, Earle, Willis, J, Wong, Takmeng, Wood, Kimberly M, Woolway, Richard Iestyn, Xie, Ping-Ping, Yang, Dedi, Yin, Xungang, Yin, Ziqi, Zeng, Zhenzhong, Zhang, Huai-min, Zhang, Li, Zhang, Peiqun, Zhao, Lin, Zhou, Xinjia, Zhu, Zhiwei, Ziemke, Jerry R, Ziese, Markus, Zolkos, Scott, Zotta, Ruxandra M, Zou, Cheng-Zhi, Allen, Jessicca, Camper, Amy V, Haley, Bridgette O, Hammer, Gregory, Love-Brotak, S Elizabeth, Ohlmann, Laura, Noguchi, Lukas, Riddle, Deborah B, Veasey, Sara W, Boyer, Tim, Bartow-Gillies, Ellen, Abida, A, Ades, Melanie, Adler, Robert, Adusumilli, Susheel, Agyakwah, W, Ahmasuk, Brandon, Aldeco, Laura S, Alexe, Mihai, Alfaro, Eric J, Allan, Richard P, Allgood, Adam, Alves, Lincoln M, Amador, Jorge A, Anderson, John, Andrade, B, Anneville, Orlane, Aono, Yasuyuki, Arguez, Anthony, Arosio, Carlo, Atkinson, C, Augustine, John A, Avalos, Grinia, Azorin-Molina, Cesar, Backensto, Stacia A, Bader, Stephan, Baez, Julian, Baiman, Rebecca, Ballinger, Thomas J, Banwell, Alison F, Bardin, M Yu, Barichivich, Jonathan, Barnes, John E, Barreira, Sandra, Beadling, Rebecca L, Beck, Hylke E, Becker, Emily J, Bekele, E, Bellido, Guillem Martín, Bellouin, Nicolas, Benedetti, Angela, Benestad, Rasmus, Berne, Christine, Berner, Logan T, Bernhard, Germar H, Bhatt, Uma S, Bhuiyan, AE, Bigalke, Siiri, Biló, Tiago, Bissolli, Peter, Bjerke Jarle, W, Blagrave, Kevin, Blake, Eric S, Blenkinsop, Stephen, Blunden, Jessica, Bochníček, Oliver, Bock, Olivier, Bodin, Xavier, Bosilovich, Michael, Boucher, Olivier, Bozkurt, Deniz, Brettschneider, Brian, Bringas, Francis G, Bringas, Francis, Buechler, Dennis, Buehler, Stefan A, Bukunt, Brandon, Calderón, Blanca, Camargo, Suzana J, Campbell, Jayaka, Campos, Diego, Carrea, Laura, Carter, Brendan R, Cetinić, Ivona, Chambers, Don P, Chan, Duo, Chandler, Elise, Chang, Kai-Lan, Chen, Hua, Chen, Lin, Cheng, Lijing, Cheng, Vincent YS, Chomiak, Leah, Christiansen, Hanne H, Christy, John R, Chung, Eui-Seok, Ciasto, Laura M, Clarke, Leonardo, Clem, Kyle R, Clingan, Scott, Coelho, Caio AS, Cohen, Judah L, Coldewey-Egbers, Melanie, Colwell, Steve, Cooper, Owen R, Cornes, Richard C, Correa, Kris, Costa, Felipe, Covey, Curt, Coy, Lawrence, Créatux, Jean-François, Crhova, Lenka, Crimmins, Theresa, Cronin, Meghan F, Cropper, Thomas, Crotwell, Molly, Culpepper, Joshua, Cunha, Ana P, Cusicanqui, Diego, Datta, Rajashree T, Davis, Sean M, De Bock, Veerle, de Jeu, Richard AM, De Laat, Jos, Decharme, Bertrand, Degenstein, Doug, Delaloye, Reynald, Demircan, Mesut, Derksen, Chris, Deus, Ricardo, Dhurmea, KR, Diamond, Howard J, Dirkse, S, Divine, Dmitry, Dokulil, Martin T, Donat, Markus G, Dong, Shenfu, Dorigo, Wouter A, Drost Jensen, Caroline, Druckenmiller, Matthew L, Drumond, Paula, du Plessis, Marcel, Dugan, Hilary A, Dulamsuren, Dashkhuu, Dunmire, Devon, Dunn, Robert JH, Durre, Imke, Dutton, Geoff, Duveiller, Gregory, Ekici, Mithat, Elias Chereque, Alesksandra, ElKharrim, M, Epstein, Howard E, Espinoza, Jhan-Carlo, Estilow, Thomas W, Estrella, Nicole, Fauchereau, Nicolas, Fausto, Robert S, Feely, Richard A, Fenimore, Chris, Fereday, David, Fettweis, Xavier, Fioletov, vitali E, Flemming, Johannes, Fogarty, Chris, Fogt, Ryan L, Forbes, Bruce C, Foster, Michael J, Franz, Bryan A, Freeman, Natalie M, Fricker, Helen A, Frith, Stacey M, Froidevaux, Lucien, Frost, Gerald V, Fuhrman, Steven, Füllekrug, Martin, Ganter, Catherine, Gao, Meng, Gardner, Alex S, Garforth, Judith, Garg, Jay, Gerland, Sebastian, Gibbes, Badin, Gille, Sarah T, Gilson, John, Gleason, Karin, Gobron, Nadine, Goetz, Scott J, Goldenberg, Stanley B, Goni, Gustavo, Goodman, Steven, Goto, Atsushi, Grooß, Jens-Uwe, Gruber, Alexander, Gu, Guojun, Guard, Charles Chip P, Hagos, S, Hahn, Sebastian, Haimberger, Leopold, Hall, Bradley D, Hamlington, Benjamin D, Hanna, Edward, Hanssen-Bauer, Inger, Harnos, Daniel S, Harris, Ian, He, Qiong, Heim, Richard R, Hellström, Sverker, Hemming, Deborah L, Hendricks, Stefan, Hicks, J, Hidalgo, Hugo G, Hirschi, Martin, Ho, Shu-peng, Hobbs, W, Holmes, Robert M, Holzworth, Robert, Hrbáček, Filip, Hu, Guojie, Hu, Zeng-Zhen, Huang, Boyin, Huang, Hongjie, Hurst, Dale F, Ialongo, Iolanda, Inness, Antje, Isaksen, Ketil, Ishii, Masayoshi, Jadra, Gerardo, Jevrejeva, Svetlana, John, Viju O, Johns, W, Johnsen, Bjørn, Johnson, Bryan, Johnson, Gregory C, Jones, Philip D, Jones, Timothy, Josey, Simon A, Jumaux, G, Junod, Robert, Kääb, Andreas, Kabidi, K, Kaiser, Johannes W, Kaler, Robb SA, Kaleschke, Lars, Kaufmann, Viktor, Kazemi, Amin Fazl, Keller, Linda M, Kellerer-Pirklbauer, Andreas, Kendon, Mike, Kennedy, John, Kent, Elizabeth C, Kerr, Kenneth, Khan, Valentina, Khiem, Mai Van, Kidd, Richard, Kim, Mi Ju, Kim, Seong-Joong, Kipling, Zak, Klotzbach, Philip J, Knaff, John A, Koppa, Akash, Korshunova, Natalia N, Kraemer, Benjamin M, Kramarova, Natalya A, Kruger, AC, Kruger, Andries, Kumar, Arun, L’Heureux, Michelle, La Fuente, Sofia, Laas, Alo, Labe, Zachary M, Lader, Rick, Lakatos, Mónika, Lakkala, Kaisa, Lam, Hoang Phuc, Lan, Xin, Landschützer, Peter, Landsea, Chris W, Lang, Timothy, Lankhorst, Matthias, Lantz, Kathleen O, Lara, Mark J, Lavado-Casimiro, Waldo, Lavers, David A, Lazzara, Matthew A, Leblanc, Thierry, Lee, Tsz-Cheung, Leibensperger, Eric M, Lennard, Chris, Leuliette, Eric, Leung, Kinson HY, Lieser, Jan L, Likso, Tanja, Lin, I-I, Lindsey, Jackie, Liu, Yakun, Locarnini, Ricardo, Loeb, Norman G, Loomis, Bryant D, Lorrey, Andrew M, Loyola, Diego, Lu, Rui, Lumpkin, Rick, Luo, Jing-Jia, Luojus, Kari, Lyman, John M, Maberly, Stephen C, Macander, Matthew J, MacFerrin, Michael, MacGilchrist, Graeme A, MacLennan, Michelle L, Madelon, Remi, Magee, Andrew D, Magnin, Florence, Mamen, Jostein, Mankoff, Ken D, Manney, Gloria L, Marcinonienė, Izolda, Marengo, Jose A, Marjan, Mohammadi, Martínez, Ana E, Massom, Robert A, Matsuzaki, Shin-Ichiro, May, Linda, Mayer, Michael, Mazloff, Matthew R, McAfee, Stephanie A, McBride, C, McCabe, Matthew F, McClelland, James W, McPhaden, Michael J, Mcvicar, Tim R, Mears, Carl A, Meier, Walter N, Mekonnen, A, Menzel, Annette, Merchant, Christopher J, Merrifield, Mark A, Meyer, Michael F, Meyers, Tristan, Mikolajczyk, David E, Miller, John B, Miralles, Diego G, Misevicius, Noelia, Mishonov, Alexey, Mitchum, Gary T, Moat, Ben I, Moesinger, Leander, Moise, Aurel, Molina-Carpio, Jorge, Monet, Ghislaine, Montzka, Stephan A, Moon, Twila A, Moore, GWK, Mora, Natali, Morán, Johnny, Morehen, Claire, Morice, Colin, Mostafa, AE, Mote, Thomas L, Mrekaj, Ivan, Mudryk, Lawrence, Mühle, Jens, Müller, Rolf, Nance, David, Nash, Eric R, Nerem, R Steven, Newman, Paul A, Nicolas, Julien P, Nieto, Juan J, Noetzli, Jeannette, Noll, Ben, Norton, Taylor, Nyland, Kelsey E, O’Keefe, John, Ochwat, Naomi, Oikawa, Yoshinori, Okunaka, Yuka, Osborn, Timothy J, Overland, James E, Park, Taejin, Parrington, Mark, Parrish, Julia K, Pasch, Richard J, Pascual Ramírez, Reynaldo, Pellet, Cécile, Pelto, Mauri S, Perčec Tadić, Melita, Perovich, Donald K, Petersen, Guðrún Nína, Petersen, Kyle, Petropavlovskikh, Irina, Petty, Alek, Pezza, Alexandre B, Pezzi, Luciano P, Phillips, Coda, Phoenix, Gareth K, Pierson, Don, Pinto, Izidine, Pires, Vanda, Pitts, Michael, Po-Chedley, Stephen, Pogliotti, Paolo, Poinar, Kristin, Polvani, Lorenzo, Preimesberger, Wolfgang, Price, Colin, Pulkkanen, Merja, Purkey, Sarah G, Qiu, Bo, Quisbert, Kenny, Quispe, Willy R, Rajeevan, M, Ramos, Andrea M, Randel, William J, Rantanen, Mika, Raphael, Marilyn N, Reagan, James, Recalde, Cristina, Reid, Phillip, Rémy, Samuel, Reyes Kohler, Alejandra J, Ricciardulli, Lucrezia, Richardson, Andrew D, Ricker, Robert, Robinson, David A, Robjhon, M, Rocha, Willy, Rodell, Matthew, Rodriguez Guisado, Esteban, Rodriguez-Fernandez, Nemesio, Romanovsky, Vladimir E, Ronchail, Josyane, Rosencrans, Matthew, Rosenlof, Karen H, Rösner, Benjamin, Rösner, Henrieke, Rozanov, Alexei, Rozkošný, Jozef, Rubek, Frans, Rusanovskaya, Olga O, Rutishauser, This, Sabeerali, CT, Salinas, Roberto, Sánchez-Lugo, Ahira, Santee, Michelle L, Santini, Marcelo, Sato, Katsunari, Sawaengphokhai, Parnchai, Sayouri, A, Scambos, Theodore, Schenzinger, Verena, Schimanke, Semjon, Schlegel, Robert W, Schmid, Claudia, Schmid, Martin, Schneider, Udo, Schreck, Carl J, Schultz, Cristina, _, _, Segele, ZT, Sensoy, Serhat, Serbin, Shawn P, Serreze, Mark C, Setiawan, Amsari Mudzakir, Sezaki, Fumi, Sharma, Sapna, Sharp, Jonathan D, Sheffield, Gay, Shi, Jia-Rui, Shi, Lei, Shiklomanov, Alexander I, Shiklomanov, Nikolay I, Shimaraeva, Svetlana V, Shukla, R, Siegel, David A, Silow, Eugene A, Sima, F, Simmons, Adrian J, Smeed, David A, Smith, Adam, Smith, Sharon L, Soden, Brian J, Sofieva, Viktoria, Souza, Everaldo, Sparks, Tim H, Spence-Hemmings, Jacqueline, Spencer, Robert GM, Spillane, Sandra, Sreejith, OP, Srivastava, AK, Stackhouse, Paul W, Stammerjohn, Sharon, Stauffer, Ryan, Steinbrecht, Wolfgang, Steiner, Andrea K, Stella, Jose L, Stephenson, Tannecia S, Stradiotti, Pietro, Strahan, Susan E, Streletskiy, Dmitry A, Surendran, Divya E, Suslova, Anya, Svendby, Tove, Sweet, William, Takahashi, Kiyotoshi, Takemura, Kazuto, Tank, Suzanne E, Taylor, Michael A, Tedesco, Marco, Thackeray, Stephen J, Thiaw, WM, Thibert, Emmanuel, Thoman, Richard L, Thompson, Andrew F, Thompson, Philip R, Tian-Kunze, Xiangshan, Timmermans, Mary-Louise, Timofeyev, Maxim A, Tobin, Skie, Tømmervik, Hans, Tourpali, Kleareti, Trescilo, Lidia, Tretiakov, Mikhail, Trewin, Blair C, Triñanes, Joaquin A, Trotman, Adrian, Truchelut, Ryan E, Trusel, Luke D, Tye, Mari R, van der A, Ronald, van der Schalie, Robin, van der Schrier, Gerard, Van Meerbeeck, Cedric J, van vliet, Arnold JH, Vazife, Ahad, Verburg, Piet, Vernier, Jean-Paul, Vimont, Isaac J, Virts, Katrina, Vivero, Sebastián, Volkov, Denis L, Vömel, Holger, Vose, Russell S, Walker, Donald A, Walsh, John E, Wang, Bin, Wang, Hui, Wang, Muyin, Wang, Ray HJ, Wang, Xinyue, Wanninkhof, Rik, Warnock, Taran, Weber, Mark, Webster, Melinda, Wehrlé, Adrian, Wen, Caihong, Westberry, Toby K, Widlansky, Matthew J, Wiese, David N, Wild, Jeannette D, Wille, Jonathan D, Willems, An, Willett, Kate M, Williams, Earle, Willis, J, Wong, Takmeng, Wood, Kimberly M, Woolway, Richard Iestyn, Xie, Ping-Ping, Yang, Dedi, Yin, Xungang, Yin, Ziqi, Zeng, Zhenzhong, Zhang, Huai-min, Zhang, Li, Zhang, Peiqun, Zhao, Lin, Zhou, Xinjia, Zhu, Zhiwei, Ziemke, Jerry R, Ziese, Markus, Zolkos, Scott, Zotta, Ruxandra M, Zou, Cheng-Zhi, Allen, Jessicca, Camper, Amy V, Haley, Bridgette O, Hammer, Gregory, Love-Brotak, S Elizabeth, Ohlmann, Laura, Noguchi, Lukas, Riddle, Deborah B, and Veasey, Sara W

Abstract

Abstract —J. BLUNDEN, T. BOYER, AND E. BARTOW-GILLIES Earth’s global climate system is vast, complex, and intricately interrelated. Many areas are influenced by global-scale phenomena, including the “triple dip” La Niña conditions that prevailed in the eastern Pacific Ocean nearly continuously from mid-2020 through all of 2022; by regional phenomena such as the positive winter and summer North Atlantic Oscillation that impacted weather in parts the Northern Hemisphere and the negative Indian Ocean dipole that impacted weather in parts of the Southern Hemisphere; and by more localized systems such as high-pressure heat domes that caused extreme heat in different areas of the world. Underlying all these natural short-term variabilities are long-term climate trends due to continuous increases since the beginning of the Industrial Revolution in the atmospheric concentrations of Earth’s major greenhouse gases. In 2022, the annual global average carbon dioxide concentration in the atmosphere rose to 417.1±0.1 ppm, which is 50% greater than the pre-industrial level. Global mean tropospheric methane abundance was 165% higher than its pre-industrial level, and nitrous oxide was 24% higher. All three gases set new record-high atmospheric concentration levels in 2022. Sea-surface temperature patterns in the tropical Pacific characteristic of La Niña and attendant atmospheric patterns tend to mitigate atmospheric heat gain at the global scale, but the annual global surface temperature across land and oceans was still among the six highest in records dating as far back as the mid-1800s. It was the warmest La Niña year on record. Many areas observed record or near-record heat. Europe as a whole observed its second-warmest year on record, with sixteen individual countries observing record warmth at the national scale. Records were shattered across the continent during the summer months as heatwaves

Published
2023

23. Global Oceans

Author

Johnson, G. C, Lumpkin, R, Atkinson, C, Biló, Tiago, Boyer, Tim, Bringas, Francis, Carter, Brendan R., Cetinić, Ivona, Chambers, Don P., Chan, Duo, Cheng, Lijing, Chomiak, Leah, Cronin, Meghan F., Dong, Shenfu, Feely, Richard A., Franz, Bryan A., Gao, Meng, Garg, Jay, Gilson, John, Goni, Gustavo, Hamlington, Benjamin D., Hobbs, W., Hu, Zeng-Zhen, Huang, Boyin, Ishii, Masayoshi, Jevrejeva, Svetlana, Johns, W., Landschützer, Peter, Lankhorst, Matthias, Leuliette, Eric, Locarnini, Ricardo, Lyman, John M., McPhaden, Michael J., Merrifield, Mark A., Mishonov, Alexey, Mitchum, Gary T., Moat, Ben I., Mrekaj, Ivan, Nerem, R. Steven, Purkey, Sarah G., Qiu, Bo, Reagan, James, Sato, Katsunari, Schmid, Claudia, Sharp, Jonathan D., Siegel, David A., Smeed, David A., Stackhouse, Paul W., Sweet, William, Thompson, Philip R., Triñanes, Joaquin A., Volkov, Denis L., Wanninkhof, Rik, Wen, Caihong, Westberry, Toby K., Widlansky, Matthew J., Willis, J., Xie, Ping-Ping, Yin, Xungang, Zhang, Huai-min, Zhang, Li, Allen, Jessicca, Camper, Amy V., Haley, Bridgette O., Hammer, Gregory, Love-Brotak, S. Elizabeth, Ohlmann, Laura, Noguchi, Lukas, Riddle, Deborah B., Veasey, Sara W., Johnson, G. C, Lumpkin, R, Atkinson, C, Biló, Tiago, Boyer, Tim, Bringas, Francis, Carter, Brendan R., Cetinić, Ivona, Chambers, Don P., Chan, Duo, Cheng, Lijing, Chomiak, Leah, Cronin, Meghan F., Dong, Shenfu, Feely, Richard A., Franz, Bryan A., Gao, Meng, Garg, Jay, Gilson, John, Goni, Gustavo, Hamlington, Benjamin D., Hobbs, W., Hu, Zeng-Zhen, Huang, Boyin, Ishii, Masayoshi, Jevrejeva, Svetlana, Johns, W., Landschützer, Peter, Lankhorst, Matthias, Leuliette, Eric, Locarnini, Ricardo, Lyman, John M., McPhaden, Michael J., Merrifield, Mark A., Mishonov, Alexey, Mitchum, Gary T., Moat, Ben I., Mrekaj, Ivan, Nerem, R. Steven, Purkey, Sarah G., Qiu, Bo, Reagan, James, Sato, Katsunari, Schmid, Claudia, Sharp, Jonathan D., Siegel, David A., Smeed, David A., Stackhouse, Paul W., Sweet, William, Thompson, Philip R., Triñanes, Joaquin A., Volkov, Denis L., Wanninkhof, Rik, Wen, Caihong, Westberry, Toby K., Widlansky, Matthew J., Willis, J., Xie, Ping-Ping, Yin, Xungang, Zhang, Huai-min, Zhang, Li, Allen, Jessicca, Camper, Amy V., Haley, Bridgette O., Hammer, Gregory, Love-Brotak, S. Elizabeth, Ohlmann, Laura, Noguchi, Lukas, Riddle, Deborah B., and Veasey, Sara W.

Abstract

The Atlantic meridional overturning circulation (MOC) and heat transport (MHT) have been observed (Fig. 3.21) at several trans-basin and western boundary moored arrays (e.g., Frajka-Williams et al. 2019; Berx et al. 2021; Hummels et al. 2022), as well as by synthesizing in situ and satellite altimetry measurements at several latitudes (Hobbs and Willis 2012; Sanchez-Franks et al. 2021; Dong et al. 2021; Kersalé et al. 2021). Here we provide updates on the MOC and MHT estimates from the Rapid Climate Change/MOC and Heatflux Array/Western Boundary Time Series (RAPID-MOCHA-WBTS) moored array at 26.5°N and from the synthetic approach at 41°N and at several latitudes in the South Atlantic. While updates for the Overturning in the Subpolar North Atlantic Program and the South Atlantic MOC Basin-wide Array at 34.5°S are pending, we report on recent advances in observing the variability of flows comprising the lower limb of the North Atlantic MOC, including the Meridional Overturning Variability Experiment (MOVE, 16°N).

Published
2023

24. Simultaneous retrieval of aerosol and ocean properties from PACE HARP2 with uncertainty assessment using cascading neural network radiative transfer models.

Author

Gao, Meng, Franz, Bryan A., Zhai, Peng-Wang, Knobelspiesse, Kirk, Sayer, Andrew M., Xu, Xiaoguang, Martins, J. Vanderlei, Cairns, Brian, Castellanos, Patricia, Fu, Guangliang, Hannadige, Neranga, Hasekamp, Otto, Hu, Yongxiang, Ibrahim, Amir, Patt, Frederick, Puthukkudy, Anin, and Werdell, P. Jeremy

Subjects
*CASCADE connections, *RADIATIVE transfer, *AEROSOLS, *MONTE Carlo method, *OCEAN color, *WIND speed, *OCEAN
Abstract

The University of Maryland, Baltimore County (UMBC) Hyper-Angular Rainbow Polarimeter (HARP2) will be on board NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission, scheduled for launch in January 2024. In this study we systematically evaluate the retrievability and uncertainty of aerosol and ocean parameters from HARP2 multi-angle polarimeter (MAP) measurements. To reduce the computational demand of MAP-based retrievals and maximize data processing throughput, we developed improved neural network (NN) forward models for spaceborne HARP2 measurements over a coupled atmosphere and ocean system within the FastMAPOL retrieval algorithm. To this end, a cascading retrieval scheme is implemented in FastMAPOL, which leverages a series of NN models of varying size, speed, and accuracy to optimize performance. Two sets of NN models are used for reflectance and polarization, respectively. A full day of global synthetic HARP2 data was generated and used to test various retrieval parameters including aerosol microphysical and optical properties, aerosol layer height, ocean surface wind speed, and ocean chlorophyll a concentration. To assess retrieval quality, pixel-wise retrieval uncertainties were derived from error propagation and evaluated against the difference between the retrieval parameters and truth based on a Monte Carlo method. We found that the fine-mode aerosol properties can be retrieved well from the HARP2 data, though the coarse-mode aerosol properties are more uncertain. Larger uncertainties are associated with a reduced number of available viewing angles, which typically occur near the scan edge of the HARP2 instrument. Results of the performance assessment demonstrate that the algorithm is a viable approach for operational application to HARP2 data after the PACE launch. [ABSTRACT FROM AUTHOR]

Published
2023
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26. The Ocean Colour Climate Change Initiative: II. Spatial and temporal homogeneity of satellite data retrieval due to systematic effects in atmospheric correction processors

Author

Müller, Dagmar, Krasemann, Hajo, Brewin, Robert J.W., Brockmann, Carsten, Deschamps, Pierre-Yves, Doerffer, Roland, Fomferra, Norman, Franz, Bryan A., Grant, Mike G., Groom, Steve B., Mélin, Frédéric, Platt, Trevor, Regner, Peter, Sathyendranath, Shubha, Steinmetz, François, and Swinton, John

Published
2015
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28. The Ocean Colour Climate Change Initiative: III. A round-robin comparison on in-water bio-optical algorithms

Author

Brewin, Robert J.W., Sathyendranath, Shubha, Müller, Dagmar, Brockmann, Carsten, Deschamps, Pierre-Yves, Devred, Emmanuel, Doerffer, Roland, Fomferra, Norman, Franz, Bryan, Grant, Mike, Groom, Steve, Horseman, Andrew, Hu, Chuanmin, Krasemann, Hajo, Lee, ZhongPing, Maritorena, Stéphane, Mélin, Frédéric, Peters, Marco, Platt, Trevor, Regner, Peter, Smyth, Tim, Steinmetz, Francois, Swinton, John, Werdell, Jeremy, and White, George N., III

Published
2015
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30. First Steps in the Creation of a Joint MISR/MODIS Ocean Color Atmospheric Correction Algorithm

Author

Knobelspiesse, Kirk, Ibrahim, Amir, Franz, Bryan, Bailey, Sean, Levy, Robert, Ahmad, Ziauddin, Gales, Joel, Garay, Michael, Anderson, Sam, and Kalashnikova, Olga

Subjects
Earth Resources And Remote Sensing
Abstract

We are creating a new algorithm that combines observations from MISR and MODIS (both on the NASA Terra spacecraft) to improve atmospheric correction and coverage for ocean color data products. The algorithm utilizes information rich, multi-angle MISR observations for atmospheric correction, applied to MODIS. Our goal is to produce atmospherically corrected Remote Sensing Reflectance from MODIS with enhanced coverage and accuracy, for input to downstream bio-optical ocean parameter retrieval algorithms.An important aspect of this work is the utilization of multi-angle views of the reflected ocean surface sun glint. Usually, such observations are avoided, since the intensity of the glint overwhelms any contribution from the ocean body. However, MISR's multi-angle observations see varying degrees of glint, which means they can be used to better determine aerosol optical properties (Kaufman et al., 2002, Ottaviani et al., 2013), and to identify surface wind speeds that govern the glint pattern. The latter could be utilized to replace the wind speeds taken from ancillary sources that are currently used to conservatively mask potential glint contamination in MODIS observations.To assess this capability, and to identify the appropriate parameterization, we present an analysis using the Generalized Nonlinear Retrieval Analysis (GENRA, Vukicevic et al., 2009) information content assessment. This technique is also easily modified to act as a Bayesian retrieval algorithm, for which initial results are discussed. Finally, we describe the status of integrating MISR data into the processing capabilities of the Ocean Biology Processing Group (OBPG) at NASA, and show the first ocean color vicarious calibration (Franz et al., 2007) of the MISR instrument.

Published
2019

31. Retrieving Aerosol Characteristics From the PACE Mission, Part 2: Multi-Angle and Polarimetry

Author

Remer, Lorraine A, Knobelspiesse, Kirk, Zhai, Peng-Wang, Xu, Feng, Kalashnikova, Olga V, Chowdhary, Jacek, Hasekamp, Otto, Dubovik, Oleg, Wu, Lianghai, Ahmad, Ziauddin, Boss, Emmanuel, Cairns, Brian, Coddington, Odele, Davis, Anthony B, Dierssen, Heidi M, Diner, David J, Franz, Bryan, Frouin, Robert, Gao, Bo-Cai, Ibrahim, Amir, Levy, Robert C, Martins, J. Vanderlei, Omar, Ali H, and Torres, Omar

Subjects
Geosciences (General)
Abstract

The Plankton, Aerosol, Clouds, ocean Ecosystem (PACE) mission presents new opportunities and new challenges in applying observations of two complementary multi-angle polarimeters for the space-based retrieval of global aerosol properties.Aerosol remote sensing from multi-angle radiometric-only observations enables aerosol characterization to a greater degree than single-view radiometers, as demonstrated by nearly two decades of heritage instruments. Adding polarimetry to the multi-angle observations allows for the retrieval of aerosol optical depth, Angstrom exponent,parameters of size distribution, measures of aerosol absorption, complex refractive index and degree of non-sphericity of the particles, as demonstrated by two independent retrieval algorithms applied to the heritage POLarization and Directionality of the Earth's Reflectance (POLDER) instrument. The reason why this detailed particle characterization is possible is because a multi-angle polarimeter measurement contains twice the number of Degrees of Freedom of Signal (DFS) compared to an observation from a single-view radiometer. The challenges of making use of this information content involve separating surface signal from atmospheric signal, especially when the surface is optically complex and especially in the ultraviolet portion of the spectrum where we show the necessity of polarization in making that separation. The path forward is likely to involve joint retrievalsthat will simultaneously retrieve aerosol and surface properties, although advances will berequired in radiative transfer modeling and in representing optically complex constituents in those models. Another challenge is in having the processing capability that can keep pace with the output of these instruments in an operational environment. Yet, preliminaryalgorithms applied to airborne multi-angle polarimeter observations offer encouraging results that demonstrate the advantages of these instruments to retrieve aerosol layer height, particle single scattering albedo, size distribution and spectral optical depth, and also show the necessity of polarization measurements, not just multi-angle radiometricmeasurements, to achieve these results.

Published
2019
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32. Inversion of Multiangular Polarimetric Measurements Over Open and Coastal Ocean Waters: A Joint Retrieval Algorithm for Aerosol and Water-Leaving Radiance Properties

Author

Gao, Meng, Zhai, Peng-Wang, Franz, Bryan A, Hu, Yongxiang, Knobelspiesse, Kirk, Werdell, P. Jeremy, Ibrahim, Amir, Cairns, Brian, and Chase, Alison

Subjects
Earth Resources And Remote Sensing
Abstract

Ocean color remote sensing is a challenging task over coastal waters due to the complex optical properties of aerosols and hydrosols. In order to conduct accurate atmospheric correction, we previously implemented a joint retrieval algorithm, hereafter referred to as the Multi-Angular Polarimetric Ocean coLor (MAPOL) algorithm, to obtain the aerosol and water-leaving signal simultaneously. The MAPOL algorithm has been validated with synthetic data generated by a vector radiative transfer model, and good retrieval performance has been demonstrated in terms of both aerosol and ocean water optical properties (Gao et al., 2018). In this work we applied the algorithm to airborne polarimetric measurements from the Research Scanning Polarimeter (RSP) over both open and coastal ocean waters acquired in two field campaigns: the Ship-Aircraft Bio-Optical Research (SABOR) in 2014 and the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) in 2015 and 2016. Two different yet related bio-optical models are designed for ocean water properties. One model aligns with traditional open ocean water bio-optical models that parameterize the ocean optical properties in terms of the concentration of chlorophyll a. The other is a generalized bio-optical model for coastal waters that includes seven free parameters to describe the absorption and scattering by phytoplankton, colored dissolved organic matter, and nonalgal particles. The retrieval errors of both aerosol optical depth and the water-leaving radiance are evaluated. Through the comparisons with ocean color data products from both in situ measurements and the Moderate Resolution Imaging Spectroradiometer (MODIS), and the aerosol product from both the High Spectral Resolution Lidar (HSRL) and the Aerosol Robotic Network (AERONET), the MAPOL algorithm demonstrates both flexibility and accuracy in retrieving aerosol and water-leaving radiance properties under various aerosol and ocean water conditions.

Published
2019
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33. Atmospheric Correction for Coastal Waters Based on Multi-Angle Polarimetric Observations

Author

Gao, Meng, Zhai, Peng-wang, Franz, Bryan, Hu, Yongxiang, Knobelspiesse, Kirk, Werdell, P. Jeremy, Ibrahim, Amir, Cairns, Brian, and Chase, Alison

Subjects
Oceanography
Abstract

Atmospheric correction is an essential procedure of ocean color remote sensing, which obtains water-leaving signals from satellite or airborne sensors. Due to the small percentage of the water leaving signals in the total measurement, atmospheric correction requires precise evaluation of the radiometric contributions from the aerosol and ocean surface. It is often challenging over coastal waters when absorbing aerosols are present and when water leaving signals in the near infrared spectral region are non-negligible. In this work, we report on a joint retrieval algorithm that determines aerosol and ocean optical properties using the polarimetric measurements based on a coupled atmosphere and ocean radiative transfer model. Two bio-optical models are designed for ocean water properties. One model parameterizes the open ocean optical properties in terms of the concentration of chlorophyll a. The other is a generalized bio-optical model for coastal waters that describes the absorption and scattering by phytoplankton, colored dissolved organic matter and non-algal particles using multiple parameters. We applied the algorithm to the airborne Research Scanning Polarimeter (RSP) measurements acquired over both open and coastal ocean waters. Through the comparisons with in situ ocean color measurements, the flexibility and accuracy of the retrieval algorithm in retrieving aerosol and water leaving radiance properties are demonstrated under various aerosol and ocean water conditions.

Published
2019

36. Uncertainties in the Geostationary Ocean Color Imager (GOCI) Remote Sensing Reflectance for Assessing Diurnal Variability of Biogeochemical Processes

Author

Concha, Javier, Mannino, Antonio, Franz, Bryan, and Kim, Wonkook

Subjects
Earth Resources And Remote Sensing, Oceanography
Abstract

Short-term (sub-diurnal) biological and biogeochemical processes cannot be fully captured by the current suite of polar-orbiting satellite ocean color sensors, as their temporal resolution is limited to potentially one clear image per day. Geostationary sensors, such as the Geostationary Ocean Color Imager (GOCI) from the Republic of Korea, allow the study of these short-term processes because their orbit permit the collection of multiple images throughout each day for any area within the sensor’s field of regard. Assessing the capability to detect sub-diurnal changes in in-water properties caused by physical and biogeochemical processes characteristic of open ocean and coastal ocean ecosystems, however, requires an understanding of the uncertainties introduced by the instrument and/or geophysical retrieval algorithms. This work presents a study of the uncertainties during the daytime period for an ocean region with characteristically low-productivity with the assumption that only small and undetectable changes occur in the in-water properties due to biogeochemical processes during the daytime period. The complete GOCI mission data were processed using NASA’s SeaDAS/l2gen package. The assumption of homogeneity of the study region was tested using three-day sequences and diurnal statistics. This assumption was found to hold based on the minimal diurnal and day-to-day variability in GOCI data products. Relative differences with respect to the midday value were calculated for each hourly observation of the day in order to investigate what time of the day the variability is greater. Also, the influence of the solar zenith angle in the retrieval of remote sensing reflectances and derived products was examined. Finally, we determined that the uncertainties in water-leaving “remote-sensing” reflectance (Rrs) for the 412,443, 490, 555, 660 and 680 nm bands on GOCI are 8.05 x 10(exp -4), 5.49 x 10(exp -4), 4.48 x 10(exp -4), 2.51 x 10(exp -4), 8.83 x 10(exp -5), and 1.36 x 10(exp -4)/sr, respectively, and 1.09 x 10(exp -2)/cu.mgm for the chlorophyll-a concentration (Chl-a), 2.09 x 10(exp -3)/m for the absorption coefficient of chromophoric dissolved organic matter at 412 nm (a(sub g) (412)), and 3.7 mg/cu.m for particulate organic carbon (POC). These R(sub rs) values can be considered the threshold values for detectable changes of the in-water properties due to biological, physical or biogeochemical processes from GOCI.

Published
2019
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37. Vicarious Calibration of GOCI for the SeaDAS Ocean Color Retrieval

Author

Concha, Javier, Mannino, Antonio, Franz, Bryan, Bailey, Sean, and Kim, Wonkook

Subjects
Earth Resources And Remote Sensing, Oceanography
Abstract

A key on-orbit calibration step for satellite remote sensing of ocean color is the vicarious calibration. This establishes the final gains for each spectral band on the sensor that minimize bias in the retrieved ocean color signal. The vicarious calibration is specific to the instrument and the atmospheric correction algorithm. The vicarious calibration gains for the Geostationary Ocean Color Imager (GOCI) are presented here, which were derived to optimize the performance ofNASA's standard atmospheric correction algorithm as implemented in the l2gen code and distributed through the SeaDAS open-source software package. Following NASA's protocols, the near-infrared(NIR) bands were calibrated first, and the visible bands were then calibrated relative to this fixed NIR calibration. The gain for the 745-nm NIR band was derived using a fixed aerosol model, which waschosen based on the Angstrom Coefficients derived from MODIS onAqua (MODISA). For the vicarious gains of the visible bands, twosources for the target water-leaving radiances were tested: matchupsfrom MODISA and climatological data from SeaWiFS. A validation analysis using AERONET-OC data shows an improvement in sensor performance when compared with results using the current vicarious gains and results using no vicarious calibration. Good agreement was found in vicarious gains derived using both concurrent MODISA and climatological SeaWiFS as vicarious calibration data sources. These results support the use of a concurrent sensor for the vicarious calibration when in situ data are not available and demonstrate that using climatology from a well-calibrated sensor like SeaWiFSfor the vicarious calibration is a valid alternative when it is not possible to use a concurrent sensor or in situ data. We recommend using the gains derived from concurrent GOCI matchups with MODISA for GOCI processing in SeaDAS/l2gen.

Published
2019
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38. PACE Technical Report Series, Volume 6: Data Product Requirements and Error Budgets Consensus Document

Author

Cetinic, Ivona, McClain, Charles R, Werdell, P. Jeremy, Ahmad, Ziauddin, Franz, Bryan A, Karakoylu, Erdem M, McKinna, Lachlan I. W, and Patt, Frederick S

Subjects
Earth Resources And Remote Sensing
Abstract

This chapter summarizes ocean color science data product requirements for the Plankton, Aerosol, Cloud,ocean Ecosystem (PACE) mission's Ocean Color Instrument (OCI) and observatory. NASA HQ delivered Level-1 science data product requirements to the PACE Project, which encompass data products to be produced and their associated uncertainties. These products and uncertainties ultimately determine the spectral nature of OCI and the performance requirements assigned to OCI and the observatory. This chapter ultimately serves to provide context for the remainder of this volume, which describes tools developed that allocate these uncertainties into their components, including allowable OCI systematic and random uncertainties, observatory geo location uncertainties, and geophysical model uncertainties.

Published
2019

39. PACE Technical Report Series, Volume 5: Mission Formulation Studies

Author

Cetinic, Ivona, McClain, Charles R, Werdell, Jeremy P, Bontempi, Paula, Cairns, Brian, Craig, Susan E, Dress, Andre, Franz, Bryan, Lossing, Robert, Mannino, Antonio, McKinna, Lachlan I. W, Pahlevan, Nima, Patt, Frederick S, and Schweiss, Robert

Subjects
Earth Resources And Remote Sensing
Abstract

This chapter summarizes the mission architecture for the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission, ranging from its scientific rationale to the history of its realized conception to itspresent-day organization and management. This volume in the PACE Technical Report series focuses ontrade studies that informed the formulation of the mission in its pre-Phase A (2014-2016; pre-formulation:define a viable and affordable concept) and Phase A (2016-2017; concept and technology development).With that in mind, this chapter serves to introduce the mission by providing: a brief summary of thescience drivers for the mission; a history of the direction of the mission to NASA's Goddard Space Flight Center (GSFC); a synopsis of the mission's and instruments' management and development structures; and a brief description of the primary components and elements that form the foundation ofthe mission, encompassing the major mission segments (space, ground, and science data processing) and their roles in integration, testing, and operations.

Published
2018

40. PACE Technical Report Series, Volume 7: Ocean Color Instrument (OCI) Concept Design Studies

Author

Cetinic, Ivona, McClain, Charles R, Werdell, P. Jeremy, Ahmad, Ziauddin, Arnone, Robert, Behrenfeld, Michael J, Cairns, Brian, Cetini, Ivona, Eplee, Robert E, Franz, Bryan, Haffner, David, Ibrahim, Amir, Mannino, Antonio, McKinna, Lachlan I. W, Meister, Gerhard, Neeley, Aimee, Pahlevan, Nima, Patt, Frederick S, Robinson, Wayne, Signorini, Sergio R, Vandermeulen, Ryan, Westberry, Toby, and Werdell, Jeremy

Subjects
General
Abstract

Extending OCI hyperspectral radiance measurements in the ultraviolet to 320 nm on the blue spectrograph enables quantitation of atmospheric total column ozone (O3) for use in ocean color atmospheric correction algorithms. The strong absorption by atmospheric ozone below 340 nm enables the quantification of total column ozone. Other applications are possible but were not investigated due to their exploratory nature and lower priority.The first step in the atmospheric correction processing, which converts top-of-the-atmosphere radiances to water-leaving radiances, is removal of the absorbance by atmospheric trace gases such as water vapor, oxygen, ozone and nitrogen dioxide. Details of the atmospheric correction process currently used by the Ocean Biology Processing Group (OBPG) and will be employed for PACE with appropriate modifications, are described by Mobley et al. [2016]. Atmospheric ozone absorbs within the visible to near-infrared spectrum between ~450 nm and 800nm and most appreciably between 530 nm and 650 nm, a spectral region critical for maintaining NASA's chlorophyll-a climate data record and for PACE algorithms planned to characterize phytoplankton community composition and other ocean color products.While satellite-based observations will likely be available during PACE's mission lifetime, the difference in acquisition time with PACE, the coarseness in their spatial resolution, and differences in viewing geometries will introduce significant levels of uncertainties in PACE ocean color data products.

Published
2018

41. Toward Long-Term Aquatic Science Products from Heritage Landsat Missions

Author

Pahlevan, Nima, Velaudhaperumal Balasubramania, Sarkar, Sudipta, and Franz, Bryan A

Subjects
Earth Resources And Remote Sensing
Abstract

This paper aims at generating a long-term consistent record of Landsat-derived remote sensing reflectance (Rrs) products, which are central for producing downstream aquatic science products (e.g., concentrations of total suspended solids). The products are derived from Landsat-5 and Landsat-7 observations leading to Landsat-8 era to enable retrospective analyses of inland and nearshore coastal waters. In doing so, the data processing was built into the SeaWiFS Data Analysis System (SeaDAS) followed by vicariously calibrating Landsat-7 and -5 data using reference in situ measurements and near-concurrent ocean color products, respectively. The derived Rrs products are then validated using (a) matchups using the Aerosol Robotic Network (AERONET) data measured by in situ radiometers, i.e., AERONET-OC, and (b) ocean color products at select sites in North America. Following the vicarious calibration adjustments, it is found that the overall biases in Rrs products are significantly reduced. The root-mean-square errors (RMSE), however, indicate noticeable uncertainties due to random and systematic noise. Long-term (since 1984) seasonal Rrs composites over 12 coastal and inland systems are further evaluated to explore the utility of Landsat archive processed via SeaDAS. With all the qualitative and quantitative assessments, it is concluded that with careful algorithm developments, it is possible to discern natural variability in historic water quality conditions using heritage Landsat missions. This requires the changes in Rrs exceed maximum expected uncertainties, i.e., 0.0015 [1/sr], estimated from mean RMSEs associated with the matchups and intercomparison analyses. It is also anticipated that Landsat-5 products will be less susceptible to uncertainties in turbid waters with Rrs(660) > 0.004 [1/sr], which is equivalent of ~1.2% reflectance. Overall, end-users may utilize heritage Rrs products with "fitness-for-purpose" concept in mind, i.e., products could be valuable for one application but may not be viable for another. Further research should be dedicated to enhancing atmospheric correction to account for non-negligible near-infrared reflectance in CDOM-rich and extremely turbid waters.

Published
2018
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42. Radiative Transfer Modeling of Phytoplankton Fluorescence Quenching Processes

Author

Zhai, Peng-Wang, Boss, Emmanuel, Franz, Bryan, Werdell, P. Jeremy, and Hu, Yongxiang

Subjects
Oceanography
Abstract

We report the first radiative transfer model that is able to simulate phytoplankton fluorescence with both photo chemical and non-photo chemical quenching included. The fluorescence source term in the inelastic radiative transfer equation is proportional to both the quantum yield and scalar irradiance at excitation wavelengths. The photo chemical and non photo chemical quenching processes change the quantum yield based on the photosynthetic active radiation. A sensitivity study was performed to demonstrate the dependence of the fluorescence signal on chlorophyll a concentration, aerosol optical depths and solar zenith angles. This work enables us to better model the phytoplankton fluorescence, which can be used in the design of new space-based sensors that can provide sufficient sensitivity to detect the phytoplankton fluorescence signal. It could also lead to more accurate remote sensing algorithms for the study of phytoplankton physiology.

Published
2018
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43. Global Water Clarity: Continuing a Century-Long Monitoring

Author

Lee, Zhongping, Arnone, Robert, Boyce, Daniel, Franz, Bryan, Greb, Steve, Hu, Chuanmin, Lavender, Samantha, Lewis, Marlon, Schaeffer, Blake, Shang, Shaoling, Wang, Menghua, Wernand, Marcel, and Wilson, Cara

Subjects
Earth Resources And Remote Sensing, Oceanography
Abstract

An approach that combines field observations and satellite inferences of Secchi depth could transform how we assess water clarity across the globe and pinpoint key changes over the past century.

Published
2018
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49. Global Oceans, BAMS State of the Climate in 2021, Chapter 3

Author

Johnson, Gregory C., Lumpkin, Rick, Boyer, Tim, Bringas, Francis, Cetinić, Ivona, Chambers, Don P., Cheng, Lijing, Dong, Shenfu, Feely, Richard A., Fox-Kemper, Baylor, Frajka-Williams, Eleanor, Franz, Bryan A., Fu, Yao, Gao, Meng, Garg, Jay, Gilson, John, Goni, Gustavo, Hamlington, Benjamin D., Hewitt, Helene T., Hobbs, William R., Hu, Zeng-Zhen, Huang, Boyin, Jevrejeva, Svetlana, Johns, William E., Katsunari, Sato, Kennedy, John J., Kersalé, Marion, Killick, Rachel E., Leuliette, Eric, Locarnini, Ricardo, Lozier, M. Susan, Lyman, John M., Merrifield, Mark A., Mishonov, Alexey, Mitchum, Gary T., Moat, Ben I., Nerem, R. Steven, Notz, Dirk, Perez, Renellys C., Purkey, Sarah G., Rayner, Darren, Reagan, James, Schmid, Claudia, Siegel, David A., Smeed, David A., Stackhouse, Paul W., Sweet, William, Thompson, Philip R., Volkov, Denis L., Wanninkhof, Rik, Weller, Robert A., Wen, Caihong, Westberry, Toby K., Widlansky, Matthew J., Willis, Josh K., Yu, Lisan, and Zhang, Huai-Min

Abstract

Patterns of variability in ocean properties are often closely related to large-scale climate pattern indices, and 2021 is no exception. The year 2021 started and ended with La Niña conditions, charmingly dubbed a “double-dip” La Niña. Hence, stronger-than-normal easterly trade winds in the tropical south Pacific drove westward surface current anomalies in the equatorial Pacific; reduced sea surface temperature (SST) and upper ocean heat content in the eastern tropical Pacific; increased sea level, upper ocean heat content, and salinity in the western tropical Pacific; resulted in a rim of anomalously high chlorophyll-a (Chla) on the poleward and westward edges of the anomalously cold SST wedge in the eastern equatorial Pacific; and increased precipitation over the Maritime Continent. The Pacific decadal oscillation remained strongly in a negative phase in 2021, with negative SST and upper ocean heat content anomalies around the eastern and equatorial edges of the North Pacific and positive anomalies in the center associated with low Chla anomalies. The South Pacific exhibited similar patterns. Fresh anomalies in the northeastern Pacific shifted towards the west coast of North America. The Indian Ocean dipole (IOD) was weakly negative in 2021, with small positive SST anomalies in the east and nearly-average anomalies in the west. Nonetheless, upper ocean heat content was anomalously high in the west and lower in the east, with anomalously high freshwater flux and low sea surface salinities (SSS) in the east, and the opposite pattern in the west, as might be expected during a negative phase of that climate index. In the Atlantic, the only substantial cold anomaly in SST and upper ocean heat content persisted east of Greenland in 2021, where SSS was also low, all despite the weak winds and strong surface heat flux anomalies into the ocean expected during a negative phase of the North Atlantic Oscillation. These anomalies held throughout much of 2021. An Atlantic and Benguela Niño were both evident, with above-average SST anomalies in the eastern equatorial Atlantic and the west coast of southern Africa. Over much of the rest of the Atlantic, SSTs, upper ocean heat content, and sea level anomalies were above average. Anthropogenic climate change involves long-term trends, as this year’s chapter sidebars emphasize. The sidebars relate some of the latest IPCC ocean-related assessments (including carbon, the section on which is taking a hiatus from our report this year). This chapter estimates that SST increased at a rate of 0.16–0.19°C decade−1 from 2000 to 2021, 0–2000-m ocean heat content warmed by 0.57–0.73 W m−2 (applied over Earth’s surface area) from 1993 to 2021, and global mean sea level increased at a rate of 3.4 ± 0.4 mm yr−1 from 1993 to 2021. Global mean SST, which is more subject to interannual variations than ocean heat content and sea level, with values typically reduced during La Niña, was ~0.1°C lower in 2021 than in 2020. However, from 2020 to 2021, annual average ocean heat content from 0 to 2000 dbar increased at a rate of ~0.95 W m−2, and global sea level increased by ~4.9 mm. Both were the highest on record in 2021, and with year-on-year increases substantially exceeding their trend rates of recent decades.

Published
2022
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50. Satellite Radiation Products for Ocean Biology and Biogeochemistry: Needs, State-Of-The-Art, Gaps, Development Priorities, and Opportunities

Author

Frouin, Robert, Ramon, Didier, Boss, Emmanuel, Jolivet, Dominique, Compiegne, Mathieu, Tan, Jing, Bouman, Heather, Jackson, Thomas`, Franz, Bryan, Platt, Trevor, and Sathyendranath, Shubha

Subjects
Oceanography
Abstract

Knowing the spatial and temporal distribution of the underwater light field, i.e., the spectral and angular structure of the radiant intensity at any point in the water column, is essential to understanding the biogeochemical processes that control the composition and evolution of aquatic ecosystems and their impact on climate and reaction to climate change. At present, only a few properties are reliably retrieved from space, either directly or via water-leaving radiance. Existing satellite products are limited to planar photosynthetically available radiation (PAR) and ultraviolet (UV) irradiance above the surface and diffuse attenuation coefficient. Examples of operational products are provided, and their advantages and drawbacks are examined. The usefulness and convenience of these products notwithstanding, there is a need, as expressed by the user community, for other products, i.e., sub-surface planar and scalar fluxes, average cosine, spectral fluxes (UV to visible), diurnal fluxes, absorbed fraction of PAR by live algae (APAR), surface albedo, vertical attenuation, and heating rate, and for associating uncertainties to any product on a pixel-by-pixel basis. Methodologies to obtain the new products are qualitatively discussed in view of most recent scientific knowledge and current and future satellite missions, and specific algorithms are presented for some new products, namely sub-surface fluxes and average cosine. A strategy and roadmap (short, medium, and long term) for usage and development priorities is provided, taking into account needs and readiness level. Combining observations from satellites overpassing at different times and geostationary satellites should be pursued to improve the quality of daily-integrated radiation fields, and products should be generated without gaps to provide boundary conditions for general circulation and biogeochemical models. Examples of new products, i.e., daily scalar PAR below the surface, daily average cosine for PAR, and sub-surface spectral scalar fluxes are presented. A procedure to estimate algorithm uncertainties in the total uncertainty budget for above-surface daily PAR, based on radiative simulations for expected situations, is described. In the future, space-borne lidars with ocean profiling capability offer the best hope for improving our knowledge of sub-surface fields. To maximize temporal coverage, space agencies should consider placing ocean-color instruments in L1 orbit, where the sunlit part of the Earth can be frequently observed.

Published
2018
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