109 results on '"Knobelspiesse, Kirk"'
Search Results
102. Sun-Pointing-Error Correction for Sea Deployment of the MICROTOPS II Handheld Sun Photometer
- Author
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Knobelspiesse, Kirk D., primary, Pietras, Christophe, additional, and Fargion, Giulietta S., additional
- Published
- 2003
- Full Text
- View/download PDF
103. Unique data repository facilitates ocean color satellite validation
- Author
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Werdell, P. Jeremy, primary, Bailey, Sean, additional, Fargion, Giulietta, additional, Pietras, Christophe, additional, Knobelspiesse, Kirk, additional, Feldman, Gene, additional, and McClain, Charles, additional
- Published
- 2003
- Full Text
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104. SYSTEMATIC SIMULATIONS OF AEROSOL OPTICAL PROPERTY RETRIEVAL UNCERTAINTY FOR SCANNING POLARIMETERS.
- Author
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Knobelspiesse, Kirk and Cairns, Brian
- Subjects
- *
POLARISCOPE , *CLOUDS , *AEROSOLS , *RADIATIVE transfer , *ITERATIVE methods (Mathematics) , *ORBITS (Astronomy) - Abstract
Scanning polarimeters, which utilize multi-angle, multispectral polarimetric observations from aircraft and orbit, represent the next generation of instruments capable of determining aerosol and cloud properties remotely. Retrieval of these properties from observations, however, are not straightforward. Iterative minimization techniques are often used to match radiative transfer simulations to the observations, where the aerosol and cloud parameters of the optimal model match are considered the best estimate of what is physically present in the scene. If the radiative transfer model perturbation sensitivity, expressed as a Jacobian matrix, can be assessed at the solution, then the observation uncertainty can be projected into the domain of the retrieved parameters. These parameter uncertainties provide are an extremely useful means to assess retrieval success. Another aspect of our iterative minimization techniques is the need for a reasonable initial estimate of optical properties. This estimate is provided by matching observations to a Lookup Table (LUT) of pre-computed radiative transfer scenes. This LUT spans a wide range of aerosol and cloud optical properties, and also includes numerical estimates of the Jacobian matrix at each element in the LUT. Using the Jacobians, we can estimate the retrieval uncertainty for all elements of the LUT, and therefore build a table of expected uncertainty. This paper presents how this approach is used in a systematic manner, and how it can be used to test retrieval capability for various combinations of polarized, multi-angle and multispectral observations. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
105. The CLoud–Aerosol–Radiation Interaction and Forcing: Year 2017 (CLARIFY-2017) measurement campaign
- Author
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Redemann, Jens, Wood, Robert, Zuidema, Paquita, Doherty, Sarah, Luna, Bernadette, Leblanc, Samuel, Diamond, Michael, Shinozuka, Yohei, Chang, Ian, Ueyama, Rei, Pfister, Leonhard, Ryoo, Ju-Mee, Dobracki, Amie, da Silva, Arlindo, Longo, Karla, Kacenelenbogen, Meloë, Flynn, Connor, Pistone, Kristina, Knox, Nichola, Piketh, Stuart, Haywood, James, Formenti, Paola, Mallet, Marc, Stier, Philip, Ackerman, Andrew, Bauer, Susanne, Fridlind, Ann, Carmichael, Gregory, Saide, Pablo, Ferrada, Gonzalo, Howell, Steven, Freitag, Steffen, Cairns, Brian, Holben, Brent, Knobelspiesse, Kirk, Tanelli, Simone, l'Ecuyer, Tristan, Dzambo, Andrew, Sy, Ousmane, Mcfarquhar, Greg, Poellot, Michael, Gupta, Siddhant, O'Brien, Joseph, Nenes, Athanasios, Kacarab, Mary, Wong, Jenny, Small-Griswold, Jennifer, Thornhill, Kenneth, Noone, David, Podolske, James, Schmidt, K. Sebastian, Pilewskie, Peter, Chen, Hong, Cochrane, Sabrina, Sedlacek, Arthur, Lang, Timothy, Stith, Eric, Segal-Rozenhaimer, Michal, Ferrare, Richard, Burton, Sharon, Hostetler, Chris, Diner, David, Seidel, Felix, Platnick, Steven, Myers, Jeffrey, Meyer, Kerry, Spangenberg, Douglas, Maring, Hal, Gao, Lan, University of Washington [Seattle], Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA (UMR_7583)), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), and University of Colorado [Boulder]
- Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,Meteorology ,Climate change ,Weather and climate ,010502 geochemistry & geophysics ,Numerical weather prediction ,01 natural sciences ,lcsh:QC1-999 ,Aerosol ,lcsh:Chemistry ,lcsh:QD1-999 ,13. Climate action ,Temporal resolution ,Radiative transfer ,Environmental science ,Climate model ,Satellite ,lcsh:Physics ,0105 earth and related environmental sciences - Abstract
The representations of clouds, aerosols, and cloud-aerosol-radiation impacts remain some of the largest uncertainties in climate change, limiting our ability to accurately reconstruct past climate and predict future climate. The south-east Atlantic is a region where high atmospheric aerosol loadings and semi-permanent stratocumulus clouds are co-located, providing an optimum region for studying the full range of aerosol-radiation and aerosol-cloud interactions and their perturbations of the Earth's radiation budget. While satellite measurements have provided some useful insights into aerosol-radiation and aerosol-cloud interactions over the region, these observations do not have the spatial and temporal resolution, nor the required level of precision to allow for a process-level assessment. Detailed measurements from high spatial and temporal resolution airborne atmospheric measurements in the region are very sparse, limiting their use in assessing the performance of aerosol modelling in numerical weather prediction and climate models. CLARIFY-2017 was a major consortium programme consisting of five principal UK universities with project partners from the UK Met Office and European- and USA-based universities and research centres involved in the complementary ORACLES, LASIC, and AEROCLO-sA projects. The aims of CLARIFY-2017 were fourfold: (1) to improve the representation and reduce uncertainty in model estimates of the direct, semi-direct, and indirect radiative effect of absorbing biomass burning aerosols; (2) to improve our knowledge and representation of the processes determining stratocumulus cloud microphysical and radiative properties and their transition to cumulus regimes; (3) to challenge, validate, and improve satellite retrievals of cloud and aerosol properties and their radiative impacts; (4) to improve the impacts of aerosols in weather and climate numerical models. This paper describes the modelling and measurement strategies central to the CLARIFY-2017 deployment of the FAAM BAe146 instrumented aircraft campaign, summarizes the flight objectives and flight patterns, and highlights some key results from our initial analyses.
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106. Aerosol retrievals from the ACEPOL Campaign.
- Author
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Fu, Guangliang, Hasekamp, Otto, Noia, Antonio di, Rietjens, Jeroen, Smit, Martijn, Cairns, Brian, Wasilewski, Andrzej, Diner, David, Xu, Feng, Martins, Vanderlei, Knobelspiesse, Kirk, Burton, Sharon, Hostetler, Chris, Hair, John, and Ferrare, Richard
- Published
- 2019
107. An overview of the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) project: aerosol-cloud-radiation interactions in the southeast Atlantic basin
- Author
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Redemann, Jens, Wood, Robert, Zuidema, Paquita, Doherty, Sarah J., Luna, Bernadette, LeBlanc, Samuel E., Diamond, Michael S., Shinozuka, Yohei, Chang, Ian Y., Ueyama, Rei, Pfister, Leonhard, Ryoo, Ju-Mee, Dobracki, Amie N., da Silva, Arlindo M., Longo, Karla M., Kacenelenbogen, Meloe S., Flynn, Connor J., Pistone, Kristina, Knox, Nichola M., Piketh, Stuart J., Haywood, James M., Formenti, Paola, Mallet, Marc, Stier, Philip, Ackerman, Andrew S., Bauer, Susanne E., Fridlind, Ann M., Carmichael, Gregory R., Saide, Pablo E., Ferrada, Gonzalo A., Howell, Steven G., Freitag, Steffen, Cairns, Brian, Holben, Brent N., Knobelspiesse, Kirk D., Tanelli, Simone, L'Ecuyer, Tristan S., Dzambo, Andrew M., Sy, Ousmane O., McFarquhar, Greg M., Poellot, Michael R., Gupta, Siddhant, O'Brien, Joseph R., Nenes, Athanasios, Kacarab, Mary, Wong, Jenny P. S., Small-Griswold, Jennifer D., Thornhill, Kenneth L., Noone, David, Podolske, James R., Schmidt, K. Sebastian, Pilewskie, Peter, Chen, Hong, Cochrane, Sabrina P., Sedlacek, Arthur J., Lang, Timothy J., Stith, Eric, Segal-Rozenhaimer, Michal, Ferrare, Richard A., Burton, Sharon P., Hostetler, Chris A., Diner, David J., Seidel, Felix C., Platnick, Steven E., Myers, Jeffrey S., Meyer, Kerry G., Spangenberg, Douglas A., Maring, Hal, and Gao, Lan
- Abstract
Southern Africa produces almost a third of the Earth's biomass burning (BB) aerosol particles, yet the fate of these particles and their influence on regional and global climate is poorly understood. ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) is a 5-year NASA EVS-2 (Earth Venture Suborbital-2) investigation with three intensive observation periods designed to study key atmospheric processes that determine the climate impacts of these aerosols. During the Southern Hemisphere winter and spring (June-October), aerosol particles reaching 3-5 km in altitude are transported westward over the southeast Atlantic, where they interact with one of the largest subtropical stratocumulus (Sc) cloud decks in the world. The representation of these interactions in climate models remains highly uncertain in part due to a scarcity of observational constraints on aerosol and cloud properties, as well as due to the parameterized treatment of physical processes. Three ORACLES deployments by the NASA P-3 aircraft in September 2016, August 2017, and October 2018 (totaling similar to 350 science flight hours), augmented by the deployment of the NASA ER-2 aircraft for remote sensing in September 2016 (totaling similar to 100 science flight hours), were intended to help fill this observational gap. ORACLES focuses on three fundamental science themes centered on the climate effects of African BB aerosols: (a) direct aerosol radiative effects, (b) effects of aerosol absorption on atmospheric circulation and clouds, and (c) aerosol-cloud microphysical interactions. This paper summarizes the ORACLES science objectives, describes the project implementation, provides an overview of the flights and measurements in each deployment, and highlights the integrative modeling efforts from cloud to global scales to address science objectives. Significant new findings on the vertical structure of BB aerosol physical and chemical properties, chemical aging, cloud condensation nuclei, rain and precipitation statistics, and aerosol indirect effects are emphasized, but their detailed descriptions are the subject of separate publications. The main purpose of this paper is to familiarize the broader scientific community with the ORACLES project and the dataset it produced.
108. Atmospheric compensation for SeaWiFS images of Lake Superior utilizing spatial information
- Author
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Knobelspiesse, Kirk
- Subjects
- Atmosphere, Algorithm, SeaWiFS
- Abstract
Several assumptions are made with the established atmospheric compensation algorithm for images from the SeaWiFS remote sensing platform. One of these assumptions, the existence of Case I (optically clear) ocean water, cannot be made for images of Lake Superior. A modification to the established atmospheric compensation algorithm is presented, where empirical information and external spatial data are utilized to compensate for the atmosphere in all regions of the lake. The established SeaWiFS atmospheric compensation algorithm uses a form of the Dark Object Subtraction (DOS) method. SeaWiFS has two Near-Infrared (NIR) bands used for atmospheric compensation. At these wavelengths, Case I water has no water leaving radiance. Therefore, radiance that reaches the sensor is due to atmospheric scattering alone. This NIR signal is used to determine the atmosphere type in that region of the image, which is used, in turn, to correct for the atmospheric effects in all bands. The alternative algorithm defines Lake Clear Water (LCW) as the inland analogy to Case I water. However, unlike Case I water, LCW has water leaving radiance in the SeaWiFS NER bands. Because of the oligotrophic (nutrient starved) nature of Lake Superior, it is reasonable to assume that this radiance is a constant determined by ground measurements. The atmospheric effect, then, is the difference between the expected water leaving radiance and that measured at the sensor. Like the established algorithm, this NIR signal is used to correct for the atmospheric effect in all bands in LCW regions. To implement the algorithm, an unsupervised classification method is used to map LCW and non-LCW regions in an image. Since the NIR signal in non-LCW regions is unusable, the NIR signal is extrapolated from neighboring LCW regions. This extrapolation is aided by meteorological data. Using look up tables created from the MODTRAN atmospheric model, an atmospheric type is calculated for each pixel in the image, and used for atmospheric effect subtraction in all bands. Results of this alternative atmospheric compensation algorithm were compared to optical water profile data gathered on several cruises in Lake Superior.
- Published
- 2000
109. Water-leaving contribution to polarized radiation field over ocean.
- Author
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Zhai PW, Knobelspiesse K, Ibrahim A, Franz BA, Hu Y, Gao M, and Frouin R
- 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
- Full Text
- View/download PDF
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