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2. Subseasonal to Decadal Prediction : Filling the Weather–Climate Gap

Author

Merryfield, William J., Baehr, Johanna, Batté, Lauriane, Becker, Emily J., Butler, Amy H., Coelho, Caio A. S., Danabasoglu, Gokhan, Dirmeyer, Paul A., Doblas-Reyes, Francisco J., Domeisen, Daniela I. V., Ferranti, Laura, Ilynia, Tatiana, Kumar, Arun, Müller, Wolfgang A., Rixen, Michel, Robertson, Andrew W., Smith, Doug M., Takaya, Yuhei, Tuma, Matthias, Vitart, Frederic, White, Christopher J., Alvarez, Mariano S., Ardilouze, Constantin, Attard, Hannah, Baggett, Cory, Balmaseda, Magdalena A., Beraki, Asmerom F., Bhattacharjee, Partha S., Bilbao, Roberto, de Andrade, Felipe M., DeFlorio, Michael J., Díaz, Leandro B., Ehsan, Muhammad Azhar, Fragkoulidis, Georgios, Grainger, Sam, Green, Benjamin W., Hell, Momme C., Infanti, Johnna M., Isensee, Katharina, Kataoka, Takahito, Kirtman, Ben P., Klingaman, Nicholas P., Lee, June-Yi, Mayer, Kirsten, McKay, Roseanna, Mecking, Jennifer V., Miller, Douglas E., Neddermann, Nele, Ng, Ching Ho Justin, Ossó, Albert, Pankatz, Klaus, Peatman, Simon, Pegion, Kathy, Perlwitz, Judith, Recalde-Coronel, G. Cristina, Reintges, Annika, Renkl, Christoph, Solaraju-Murali, Balakrishnan, Spring, Aaron, Stan, Cristiana, Sun, Y. Qiang, Tozer, Carly R., Vigaud, Nicolas, Woolnough, Steven, and Yeager, Stephen

Published
2020

3. Current and Emerging Developments in Subseasonal to Decadal Prediction

Author

Merryfield, William J., Baehr, Johanna, Batté, Lauriane, Becker, Emily J., Butler, Amy H., Coelho, Caio A. S., Danabasoglu, Gokhan, Dirmeyer, Paul A., Doblas-Reyes, Francisco J., Domeisen, Daniela I. V., Ferranti, Laura, Ilynia, Tatiana, Kumar, Arun, Müller, Wolfgang A., Rixen, Michel, Robertson, Andrew W., Smith, Doug M., Takaya, Yuhei, Tuma, Matthias, Vitart, Frederic, White, Christopher J., Alvarez, Mariano S., Ardilouze, Constantin, Attard, Hannah, Baggett, Cory, Balmaseda, Magdalena A., Beraki, Asmerom F., Bhattacharjee, Partha S., Bilbao, Roberto, de Andrade, Felipe M., DeFlorio, Michael J., Díaz, Leandro B., Ehsan, Muhammad Azhar, Fragkoulidis, Georgios, Grainger, Sam, Green, Benjamin W., Hell, Momme C., Infanti, Johnna M., Isensee, Katharina, Kataoka, Takahito, Kirtman, Ben P., Klingaman, Nicholas P., Lee, June-Yi, Mayer, Kirsten, McKay, Roseanna, Mecking, Jennifer V., Miller, Douglas E., Neddermann, Nele, Ng, Ching Ho Justin, Ossó, Albert, Pankatz, Klaus, Peatman, Simon, Pegion, Kathy, Perlwitz, Judith, Recalde-Coronel, G. Cristina, Reintges, Annika, Renkl, Christoph, Solaraju-Murali, Balakrishnan, Spring, Aaron, Stan, Cristiana, Sun, Y. Qiang, Tozer, Carly R., Vigaud, Nicolas, Woolnough, Steven, and Yeager, Stephen

Published
2020

4. ADVANCING GLOBAL AND REGIONAL REANALYSES

Author

Buizza, Roberto, Poli, Paul, Rixen, Michel, Alonso-Balmaseda, Magdalena, Bosilovich, Michael G., Brönnimann, Stefan, Compo, Gilbert P., Dee, Dick P., Desiato, Franco, Doutriaux-Boucher, Marie, Fujiwara, Masatomo, Kaiser-Weiss, Andrea K., Kobayashi, Shinya, Liu, Zhiquan, Masina, Simona, Mathieu, Pierre-Philippe, Rayner, Nick, Richter, Carolin, Seneviratne, Sonia I., Simmons, Adrian J., Thépaut, Jean-Noel, Auger, Jeffrey D., Bechtold, Michel, Berntell, Ellen, Dong, Bo, Kozubek, Michal, Sharif, Khaled, Thomas, Christopher, Schimanke, Semjon, Storto, Andrea, Tuma, Matthias, Välisuo, Ilona, and Vaselali, Alireza

Published
2018

5. Towards operational predictions of the near-term climate

Author

Kushnir, Yochanan, Scaife, Adam A., Arritt, Raymond, Balsamo, Gianpaolo, Boer, George, Doblas-Reyes, Francisco, Hawkins, Ed, Kimoto, Masahide, Kolli, Rupa Kumar, Kumar, Arun, Matei, Daniela, Matthes, Katja, Müller, Wolfgang A., O’Kane, Terence, Perlwitz, Judith, Power, Scott, Raphael, Marilyn, Shimpo, Akihiko, Smith, Doug, Tuma, Matthias, and Wu, Bo

Published
2019
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6. WCRP Task Team for the Intercomparison of ReAnalyses (TIRA): Motivation and Progress

Author

Bosilovich, Michael, Fujiwara, Masatomo, Keller, Jan, and Tuma, Matthias

Subjects
Geosciences (General), Meteorology And Climatology
Abstract

Reanalyses have proven to be an important resource for weather and climate related research, as well as societal applications at large. New atmospheric reanalyses in various forms are produced every few years. In addition, land and ocean communities are producing disciplinary uncoupled reanalyses, and regional reanalyses are emerging in addition to global reanalyses. Systems of data information are being developed to facilitate the intercomparison of reanalyses among themselves and with observations and climate change experiments (e.g. CREATE-IP and WRIT). Current research and development in reanalysis is directed at (1) extending the length of reanalyzed period and (2) use of coupled Earth system models for climate reanalysis. While the World Climate Research Programme (WCRP) involvement in the reanalyses communities through its Data Advisory Council (WDAC) has been substantial, for example in organizing international conferences on reanalyses. However, these efforts have previously not included an analysis of the differences among reanalyses and their inherent uncertainties which are important questions for both users and developers of reanalyses. Therefore, the WCRP Task Team for the Intercomparison of ReAnalyses (TIRA) task team has been formed as collaborative effort to address reanalyses role in WCRP. This constitutes a logical progression that fills the needs of the community and contributes to the WCRP mission. The primary charge to TIRA is to develop a reanalysis intercomparison project plan that will attain the following objectives.1)To foster understanding and estimation of uncertainties in reanalysis data by intercomparison and other means)To communicate new developments and best practices among the reanalyses producing centers3)To enhance the understanding of data and assimilation issues and their impact on uncertainties, leading to improved reanalyses for climate assessment4)To communicate the strengths and weaknesses of reanalyses, their fitness for purpose, and best practices in the use of reanalysis datasets by the scientific communityThis contribution outlines the need for a task team on reanalyses, their intercomparison, the objectives of the team and progress thus far. Results for some pilot intercomparisons will also be discussed.

Published
2018

7. Improved Working Set Selection for LaRank

Author

Tuma, Matthias, Igel, Christian, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Real, Pedro, editor, Diaz-Pernil, Daniel, editor, Molina-Abril, Helena, editor, Berciano, Ainhoa, editor, and Kropatsch, Walter, editor

Published
2011
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11. Current and emerging developments in subseasonal to decadal prediction

Author

Barcelona Supercomputing Center, Merryfield, William J., Baehr, Johanna, Batté, Lauriane, Becker, Emily J., Butler, Amy H., Coelho, Caio A.S., Danabasoglu, Gorkhan, Dirmeyer, Paul A., Doblas-Reyes, Francisco, Domeisen, Daniela I.V., Ferranti, Laura, Ilynia, Tatiana, Kumar, Arun, Müller, Wolfang A., Rixen, Michel, Robertson, Andrew W., Smith, Doug M., Takayaka, Yuhei, Tuma, Matthias, Vitart, Frederic, White, Christopher J., Alvarez, Mariano S., Ardilouze, Constantin, Attard, Hannah, Baggett, Cory, Balsameda, Magdalena A., Beraki, Asmeron F., Bhattacharjee, Partha S., Bilbao, Roberto, Andrade, Felipe M. de, DeFlorio, Michael J., Díaz, Leandro B., Ehsan, Muhammad Azhar, Fragkoulidis, Georgios, Grainger, Sam, Green, Benjamin W., Hell, Momme C., Infanti, Johanna M., Isensee, Katharina, Kataoka, Takahito, Kirtman, Ben P., Klingaman, Nicholas P., Lee, June-Yi, Mayer, Kristen, McKay, Roseanna, Mecking, Jennifer V, Miller, Douglas E., Neddermann, Nele, Justin Ng, Ching Ho, Ossó, Albert, Pankatz, Klaus, Peatman, Simon, Pegion, Kathy, Perlwitz, Judith, Recalde-Coronel, G. Cristina, Reintges, Annika, Renkl, Christoph, Solaraju-Murali, Balakrishnan, Spring, Aaron, Stan, Cristiana, Sun, Y. Qiang, Tozer, Carly R., Vigaud, Nicolas, Woolnough, Steven, Yeager, Stephen, Barcelona Supercomputing Center, Merryfield, William J., Baehr, Johanna, Batté, Lauriane, Becker, Emily J., Butler, Amy H., Coelho, Caio A.S., Danabasoglu, Gorkhan, Dirmeyer, Paul A., Doblas-Reyes, Francisco, Domeisen, Daniela I.V., Ferranti, Laura, Ilynia, Tatiana, Kumar, Arun, Müller, Wolfang A., Rixen, Michel, Robertson, Andrew W., Smith, Doug M., Takayaka, Yuhei, Tuma, Matthias, Vitart, Frederic, White, Christopher J., Alvarez, Mariano S., Ardilouze, Constantin, Attard, Hannah, Baggett, Cory, Balsameda, Magdalena A., Beraki, Asmeron F., Bhattacharjee, Partha S., Bilbao, Roberto, Andrade, Felipe M. de, DeFlorio, Michael J., Díaz, Leandro B., Ehsan, Muhammad Azhar, Fragkoulidis, Georgios, Grainger, Sam, Green, Benjamin W., Hell, Momme C., Infanti, Johanna M., Isensee, Katharina, Kataoka, Takahito, Kirtman, Ben P., Klingaman, Nicholas P., Lee, June-Yi, Mayer, Kristen, McKay, Roseanna, Mecking, Jennifer V, Miller, Douglas E., Neddermann, Nele, Justin Ng, Ching Ho, Ossó, Albert, Pankatz, Klaus, Peatman, Simon, Pegion, Kathy, Perlwitz, Judith, Recalde-Coronel, G. Cristina, Reintges, Annika, Renkl, Christoph, Solaraju-Murali, Balakrishnan, Spring, Aaron, Stan, Cristiana, Sun, Y. Qiang, Tozer, Carly R., Vigaud, Nicolas, Woolnough, Steven, and Yeager, Stephen

Abstract

Climate prediction on subseasonal to decadal time scales is a rapidly advancing field that is synthesizing improvements in climate process understanding and modeling to improve and expand operational services worldwide. Weather and climate variations on subseasonal to decadal timescales can have enormous social, economic and environmental impacts, making skillful predictions on these timescales a valuable tool for decision makers. As such, there is a growing interest in the scientific, operational, and applications communities in developing forecasts to improve our foreknowledge of extreme events. On subseasonal to seasonal (S2S) timescales, these include high-impact meteorological events such as tropical cyclones, extratropical storms, floods, droughts, and heat and cold waves. On seasonal to decadal (S2D) timescales, while the focus broadly remains similar, (e.g., on precipitation, surface and upper ocean temperatures and their effects on the probabilities of high-impact meteorological events), understanding the roles of internal and externally-forced variability such as anthropogenic warming in forecasts also becomes important. The S2S and S2D communities share common scientific and technical challenges. These include forecast initialization and ensemble generation; initialization shock and drift; understanding the onset of model systematic errors; bias correction, calibration, and forecast quality assessment; model resolution; atmosphere-ocean coupling; sources and expectations for predictability; and linking research, operational forecasting, and end user needs. In September 2018 a coordinated pair of international conferences, framed by the above challenges, was organized jointly by the World Climate Research Programme (WCRP) and the World Weather Research Programme (WWRP). These conferences surveyed the state of S2S and S2D prediction, ongoing research, and future needs, providing an ideal basis for synthesizing current and emerging developments in these area, The International Conferences on Subseasonal to Decadal Prediction on which this paper is based were sponsored by: US CLIVAR, NSF, UCAR, NCAR and its Climate and Global Dynamics Laboratory (CGD), NOAA’s Climate Variability and Predictability (CVP) and Modeling, Analysis, Predictions and Projections (MAPP) Programs, Copernicus Climate Change Service, IPSL, and WWRP/WCRP’s Subseasonal-to-Seasonal (S2S) Prediction Project., Postprint (author's final draft)

Published
2020

13. Observations for Model Intercomparison Project (Obs4MIPs): status for CMIP6

Author

Waliser, Duane, primary, Gleckler, Peter J., additional, Ferraro, Robert, additional, Taylor, Karl E., additional, Ames, Sasha, additional, Biard, James, additional, Bosilovich, Michael G., additional, Brown, Otis, additional, Chepfer, Helene, additional, Cinquini, Luca, additional, Durack, Paul J., additional, Eyring, Veronika, additional, Mathieu, Pierre-Philippe, additional, Lee, Tsengdar, additional, Pinnock, Simon, additional, Potter, Gerald L., additional, Rixen, Michel, additional, Saunders, Roger, additional, Schulz, Jörg, additional, Thépaut, Jean-Noël, additional, and Tuma, Matthias, additional

Published
2020
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14. Observations for Model Intercomparison Project (Obs4MIPs): Status for CMIP6

Author

Waliser, Duane, primary, Gleckler, Peter J., additional, Ferraro, Robert, additional, Taylor, Karl E., additional, Ames, Sasha, additional, Biard, James, additional, Bosilovich, Michael G., additional, Brown, Otis, additional, Chepfer, Helene, additional, Cinquini, Luca, additional, Durack, Paul, additional, Eyring, Veronika, additional, Mathieu, Pierre-Philippe, additional, Lee, Tsengdar, additional, Pinnock, Simon, additional, Potter, Gerald L., additional, Rixen, Michel, additional, Saunders, Roger, additional, Shulz, Jörg, additional, Thepaut, Jean-Noël, additional, and Tuma, Matthias, additional

Published
2019
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15. Optimization of online multi-class support vector machines and applications to the classification of passive-acoustic remote sensing data from the verification network of the comprehensive nuclear-test-ban treaty

Author

Tuma, Matthias Paul

Subjects
ddc:621.3, Geophysik, Verifikation, Optimierung, Klassifikation, 621.3 Elektrotechnik, Elektronik, Support-Vektor-Maschine
Abstract

Die vorliegende Arbeit stellt verbesserte und neue Komponenten von Lösungsalgorithmen für online Support Vector Maschinen (SVM) zur Klassifikation vor sowie Spezialanpassungen von SVM für Anwendungsaufgaben die bei der Datenverarbeitung für die Verifikation des Kernwaffenteststopp-Vertrages (CTBT) auftreten. Der erste, methodische Teil der Arbeit widmet sich effizienten Lösungsalgorithmen für Online-Mehrklassen-SVM und setzt sich aus drei zunehmend generalisierenden Teilprojekten zusammen. Der zweite, angewandte Teil dieser Arbeit bearbeitet zwei konkrete geophysikalische Anwendungsprobleme zur Klassifikation von hydroakustischen und Infraschall-Signalen aus dem Überwachungsmessnetz des CTBT. Hierzu stellt diese Arbeit eigens entwickelte Ansätze zur SVM-Klassifikation dieser Signale vor, die besonderen Eigenschaften der Datengesamtheit Rechnung tragen und teils eine Mehrklassen- und teils binäre Klassifikationsaufgaben betrachten.

Published
2019

16. Advancing global & regional reanalyses

Author

Buizza, Roberto, Poli, Paul, Rixen, Michel, Alonso-Balmaseda, Magdalena, Bosilovich, Michael G., Brönnimann, Stefan, Compo, Gilbert P., Dee, Dick P., Desiato, Franco, Doutriaux-Boucher, Marie, Fujiwara, Masamoto, Kaiser-Weiss, Andrea K., Kobayashi, Shinya, Liu, Zhiquan, Masina, Simona, Mathieu, Pierre-Philippe, Rayner, Nick, Richter, Carolin, Seneviratne, Sonia I., Simmons, Adrian J., Thépaut, Jean-Noel, Auger, Jeffrey D., Bechtold, Michel, Berntell, Ellen, Dong, Bo, Kozubek, Michal, Sharif, Khaled, Thomas, Christopher, Schimanke, Semjon, Storto, Andrea, Tuma, Matthias, Välisuo, Ilona, and Vaselali, Alireza

Abstract

This report outlines the structure of and summarizes the recommendations made at the 5th International Conference on Reanalysis (ICR5), attended by 259 participants from 37 countries, in Rome (Italy), on 13-17 November 2017. It first summarizes the conference structure. Then, the key recommendations of ICR5 are given for the five main conference topics: production; observations (data rescue and preparation); data assimilation methods; quality assurance of reanalysis; and applications in science, services, and policymaking. Lastly, five high-level recommendations are proposed to managing agencies on how best to advance the field of reanalyses, which serves tens of thousands of users, via enhanced research, development, and operations.

Published
2018

17. A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT)

Author

Bakker, Dorothee C. E., Pfeil, Benjamin, Landa, Camilla S., Metzl, Nicolas, O'Brien, Kevin M., Olsen, Are, Smith, Karl M., Cosca, Catherine E., Harasawa, Sumiko, Jones, Stephen D., Nakaoka, Shin-Ichiro, Nojiri, Yukihiro, Schuster, Ute, Steinhoff, Tobias, Sweeney, Colm, Takahashi, Taro, Tilbrook, Bronte, Wada, Chisato, Wanninkhof, Rik H., Alin, Simone R., Balestrini, Carlos F., Barbero, Leticia, Bates, Nicholas R., Bianchi, Alejandro A., Bonou, Frédéric, Boutin, Jacqueline, Bozec, Yann, Burger, Eugene F., Cai, Wei-Jun, Castle, Robert D., Chen, Liqi, Chierici, Melissa, Currie, Kim, Evans, Wiley, Featherstone, Charles, Feely, Richard A., Fransson, Agneta, Goyet, Catherine, Greenwood, Naomi, Gregor, Luke, Hankin, Steven, Hardman-Mountford, Nick J., Harlay, Jérôme, Hauck, Judith, Hoppema, Mario, Humphreys, Matthew P., Hunt, Christopher W., Huss, Betty, Ibánhez, J. Severino P., Johannessen, Truls, Keeling, Ralph F., Kitidis, Vassilis, Körtzinger, Arne, Kozyr, Alex, Krasakopoulou, Evangelia, Kuwata, Akira, Landschützer, Peter, Lauvset, Siv K., Lefèvre, Nathalie, Lo Monaco, Claire, Manke, Ansley B., Mathis, Jeremy T., Merlivat, Liliane, Millero, Frank J., Monteiro, Pedro M. S., Munro, David R., Murata, Akihiko, Newberger, Timothy, Omar, Abdirahman M., Ono, Tsuneo, Paterson, Kristina, Pearce, David, Pierrot, Denis, Robbins, Lisa L., Saito, Shu, Salisbury, Joseph E., Schlitzer, Reiner, Schneider, Bernd, Schweitzer, Roland, Sieger, Rainer, Skjelvan, Ingunn, Sullivan, Kevin F., Sutherland, Stewart C., Sutton, Adrienne J., Tadokoro, Kazuaki, Telszewski, Maciej, Tuma, Matthias, van Heuven, Steven M. A. C., Vandemark, Doug, Ward, Brian, Watson, Andrew J., Xu, Suqing, Centre for Ocean and Atmospheric, school of Environmental Sciences, University of East Anglia [Norwich] (UEA), University of Bergen (UiB), Bjerknes Centre for Climate Research (BCCR), Department of Biological Sciences [Bergen] (BIO / UiB), University of Bergen (UiB)-University of Bergen (UiB), Équipe CO2 (E-CO2), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN), Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), NOAA Pacific Marine Environmental Laboratory [Seattle] (PMEL), National Oceanic and Atmospheric Administration (NOAA), Joint Institute for the Study of the Atmosphere and Ocean (JISAO), University of Washington [Seattle], National Institute for Environmental Studies (NIES), University of Exeter, Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), NOAA Earth System Research Laboratory (ESRL), Lamont-Doherty Earth Observatory (LDEO), Columbia University [New York], CSIRO Marine and Atmospheric Research (CSIRO-MAR), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML), Departamento de Oceanografia, Servicio de Hidrografía Naval, Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School for Marine and Atmospheric Science (CIMAS), Rosenstiel School of Marine and Atmospheric Science (RSMAS), University of Miami [Coral Gables]-University of Miami [Coral Gables], Ocean and Earth Science [Southampton], University of Southampton-National Oceanography Centre (NOC), Departmento de Engenharia de Produção, Centro de Estudos e Ensaios em Risco e Modelagem Ambiental, Universidade Federal de Pernambuco [Recife] (UFPE), Interactions et Processus au sein de la couche de Surface Océanique (IPSO), Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), School of Marine Science and Policy, University of Delaware [Newark], The Third Institute of Oceanography SOA, Department of Marine Sciences, University of Gothenburg (GU), National Institute of Water and Atmospheric Research [Wellington] (NIWA), Norwegian Polar Institute, Institut de Modélisation et d'Analyses en géo-environnement et santé - Espace Développement (IMAGES-Espace DEV), UMR 228 Espace-Dev, Espace pour le développement, Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA), Centre for Environment, Fisheries and Aquaculture Science [Lowestoft] (CEFAS), Ocean Systems and Climate Group, CSIR, CSIRO Oceans and Atmosphere, CISRO Oceans and Atmosphere, University of Hawai‘i [Mānoa] (UHM), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Ocean Process Analysis Laboratory, University of New Hampshire (UNH), IRD Lago Sul, Brazil, University of California [San Diego] (UC San Diego), University of California (UC), Plymouth Marine Laboratory (PML), Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, University of the Aegean, Tohoku National Fisheries Research Institute, National Fisheries Research Institute, Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Geophysical Institute [Bergen] (GFI / BiU), Austral, Boréal et Carbone (ABC), Department of Ocean Sciences, University of Miami [Coral Gables], Department of Atmospheric and Oceanic Sciences [Boulder] (ATOC), University of Colorado [Boulder], Institute of Arctic Alpine Research [University of Colorado Boulder] (INSTAAR), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado [Boulder]-National Oceanic and Atmospheric Administration (NOAA), National Research Institute for Fisheries Science,Japan Fisheries Research and Education Agency, Université Paris Diderot - Paris 7 (UPD7), United States Geological Survey [Reston] (USGS), Japan Meteorological Agency (JMA), Ocean Process Analysis Laboratory (OPAL), Leibniz Institute for Baltic Sea Research Warnemünde, Weathertop consulting LLC, International Ocean Carbon Coordination Project, WCRP Joint planning staff, World Meteorological Organization (WCRP), Royal Netherlands Institute for Sea Research (NIOZ), AirSea Laboratory, School of Physics and Ryan Institute, National University of Ireland [Galway] (NUI Galway), Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)-École polytechnique (X)-Centre National d'Études Spatiales [Toulouse] (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Muséum national d'Histoire naturelle (MNHN)-Institut Pierre-Simon-Laplace (IPSL (FR_636)), University of Leeds, College of Life and Environmental Sciences [Exeter], Met Eireann, CSIRO Wealth from Oceans National Research Flagship and Antarctic Climate and Ecosystems CRC, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Bermuda Institute of Ocean Sciences (BIOS), Centre de résonance magnétique des systèmes biologiques (CRMSB), Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB), CHImie Marine (CHIM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Department of Chemistry, Computer Science Department (UBC-Computer Science), University of British Columbia (UBC), Laboratoire de Biophysique et Dynamique des Systèmes Intégrés (BDSI), Université de Perpignan Via Domitia (UPVD), Oceans and Atmosphere Flagship (CSIRO), CSIRO Oceans and Atmosphere Flagship, Department of Oceanography (DOCEAN), Federal University of Pernambuco [Recife], University of California, Plymouth Marine Laboratory, Christian-Albrechts-Universität zu Kiel (CAU), Department of Civil and Environmental Engineering [Berkeley] (CEE), University of California [Berkeley], University of California-University of California, University of Wisconsin Whitewater, National Institute of Advanced Industrial Science and Technology (AIST), Department of Computer Science [Royal Holloway], Royal Holloway [University of London] (RHUL), Cooperative Institute for Marine and Atmospheric Studies (CIMAS), Max Planck Institute for Chemical Ecology, School of Physics [NUI Galway], School of Environmental Sciences [Norwich], College of Life and Environmental Sciences, University of Exeter, Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM)-Université de Guyane (UG)-Université des Antilles (UA)-Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de Montpellier (UM), Institute of Arctic and Alpine Research (INSTAAR), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), University of California [Berkeley] (UC Berkeley), and University of California (UC)-University of California (UC)

Subjects
lcsh:GE1-350, lcsh:Geology, [SDU]Sciences of the Universe [physics], lcsh:QE1-996.5, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], lcsh:Environmental sciences, ComputingMilieux_MISCELLANEOUS, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography
Abstract

The Surface Ocean CO2 Atlas (SOCAT) is a synthesis of quality-controlled fCO2 (fugacity of carbon dioxide) values for the global surface oceans and coastal seas with regular updates. Version 3 of SOCAT has 14.7 million fCO2 values from 3646 data sets covering the years 1957 to 2014. This latest version has an additional 4.6 million fCO2 values relative to version 2 and extends the record from 2011 to 2014. Version 3 also significantly increases the data availability for 2005 to 2013. SOCAT has an average of approximately 1.2 million surface water fCO2 values per year for the years 2006 to 2012. Quality and documentation of the data has improved. A new feature is the data set quality control (QC) flag of E for data from alternative sensors and platforms. The accuracy of surface water fCO2 has been defined for all data set QC flags. Automated range checking has been carried out for all data sets during their upload into SOCAT. The upgrade of the interactive Data Set Viewer (previously known as the Cruise Data Viewer) allows better interrogation of the SOCAT data collection and rapid creation of high-quality figures for scientific presentations. Automated data upload has been launched for version 4 and will enable more frequent SOCAT releases in the future. High-profile scientific applications of SOCAT include quantification of the ocean sink for atmospheric carbon dioxide and its long-term variation, detection of ocean acidification, as well as evaluation of coupled-climate and ocean-only biogeochemical models. Users of SOCAT data products are urged to acknowledge the contribution of data providers, as stated in the SOCAT Fair Data Use Statement. This ESSD (Earth System Science Data) "living data" publication documents the methods and data sets used for the assembly of this new version of the SOCAT data collection and compares these with those used for earlier versions of the data collection (Pfeil et al., 2013; Sabine et al., 2013; Bakker et al., 2014). Individual data set files, included in the synthesis product, can be downloaded here: doi:10.1594/PANGAEA.849770. The gridded products are available here: doi:10.3334/CDIAC/OTG.SOCAT_V3_GRID.

Published
2016

18. Climate research must sharpen its view

Author

Marotzke, Jochem, primary, Jakob, Christian, additional, Bony, Sandrine, additional, Dirmeyer, Paul A., additional, O'Gorman, Paul A., additional, Hawkins, Ed, additional, Perkins-Kirkpatrick, Sarah, additional, Quéré, Corinne Le, additional, Nowicki, Sophie, additional, Paulavets, Katsia, additional, Seneviratne, Sonia I., additional, Stevens, Bjorn, additional, and Tuma, Matthias, additional

Published
2017
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21. A multi-decade record of high-quality <i>f</i>CO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT)

Author

Bakker, Dorothee C. E., primary, Pfeil, Benjamin, additional, Landa, Camilla S., additional, Metzl, Nicolas, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Smith, Karl, additional, Cosca, Cathy, additional, Harasawa, Sumiko, additional, Jones, Stephen D., additional, Nakaoka, Shin-ichiro, additional, Nojiri, Yukihiro, additional, Schuster, Ute, additional, Steinhoff, Tobias, additional, Sweeney, Colm, additional, Takahashi, Taro, additional, Tilbrook, Bronte, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Alin, Simone R., additional, Balestrini, Carlos F., additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Bianchi, Alejandro A., additional, Bonou, Frédéric, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Burger, Eugene F., additional, Cai, Wei-Jun, additional, Castle, Robert D., additional, Chen, Liqi, additional, Chierici, Melissa, additional, Currie, Kim, additional, Evans, Wiley, additional, Featherstone, Charles, additional, Feely, Richard A., additional, Fransson, Agneta, additional, Goyet, Catherine, additional, Greenwood, Naomi, additional, Gregor, Luke, additional, Hankin, Steven, additional, Hardman-Mountford, Nick J., additional, Harlay, Jérôme, additional, Hauck, Judith, additional, Hoppema, Mario, additional, Humphreys, Matthew P., additional, Hunt, Christopher W., additional, Huss, Betty, additional, Ibánhez, J. Severino P., additional, Johannessen, Truls, additional, Keeling, Ralph, additional, Kitidis, Vassilis, additional, Körtzinger, Arne, additional, Kozyr, Alex, additional, Krasakopoulou, Evangelia, additional, Kuwata, Akira, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lo Monaco, Claire, additional, Manke, Ansley, additional, Mathis, Jeremy T., additional, Merlivat, Liliane, additional, Millero, Frank J., additional, Monteiro, Pedro M. S., additional, Munro, David R., additional, Murata, Akihiko, additional, Newberger, Timothy, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paterson, Kristina, additional, Pearce, David, additional, Pierrot, Denis, additional, Robbins, Lisa L., additional, Saito, Shu, additional, Salisbury, Joe, additional, Schlitzer, Reiner, additional, Schneider, Bernd, additional, Schweitzer, Roland, additional, Sieger, Rainer, additional, Skjelvan, Ingunn, additional, Sullivan, Kevin F., additional, Sutherland, Stewart C., additional, Sutton, Adrienne J., additional, Tadokoro, Kazuaki, additional, Telszewski, Maciej, additional, Tuma, Matthias, additional, van Heuven, Steven M. A. C., additional, Vandemark, Doug, additional, Ward, Brian, additional, Watson, Andrew J., additional, and Xu, Suqing, additional

Published
2016
Full Text
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23. A multi-decade record of high-quality fCO<sub>2</sub> data in version 3 of the Surface Ocean CO<sub>2</sub> Atlas (SOCAT)

Author

Bakker, Dorothee C. E., primary, Pfeil, Benjamin, additional, Landa, Camilla S., additional, Metzl, Nicolas, additional, O'Brien, Kevin M., additional, Olsen, Are, additional, Smith, Karl, additional, Cosca, Cathy, additional, Harasawa, Sumiko, additional, Jones, Stephen D., additional, Nakaoka, Shin-ichiro, additional, Nojiri, Yukihiro, additional, Schuster, Ute, additional, Steinhoff, Tobias, additional, Sweeney, Colm, additional, Takahashi, Taro, additional, Tilbrook, Bronte, additional, Wada, Chisato, additional, Wanninkhof, Rik, additional, Alin, Simone R., additional, Balestrini, Carlos F., additional, Barbero, Leticia, additional, Bates, Nicholas R., additional, Bianchi, Alejandro A., additional, Bonou, Frédéric, additional, Boutin, Jacqueline, additional, Bozec, Yann, additional, Burger, Eugene F., additional, Cai, Wei-Jun, additional, Castle, Robert D., additional, Chen, Liqi, additional, Chierici, Melissa, additional, Currie, Kim, additional, Evans, Wiley, additional, Featherstone, Charles, additional, Feely, Richard A., additional, Fransson, Agneta, additional, Goyet, Catherine, additional, Greenwood, Naomi, additional, Gregor, Luke, additional, Hankin, Steven, additional, Hardman-Mountford, Nick J., additional, Harlay, Jérôme, additional, Hauck, Judith, additional, Hoppema, Mario, additional, Humphreys, Matthew P., additional, Hunt, Christopher W., additional, Huss, Betty, additional, Ibánhez, J. Severino P., additional, Johannessen, Truls, additional, Keeling, Ralph, additional, Kitidis, Vassilis, additional, Körtzinger, Arne, additional, Kozyr, Alex, additional, Krasakopoulou, Evangelia, additional, Kuwata, Akira, additional, Landschützer, Peter, additional, Lauvset, Siv K., additional, Lefèvre, Nathalie, additional, Lo Monaco, Claire, additional, Manke, Ansley, additional, Mathis, Jeremy T., additional, Merlivat, Liliane, additional, Millero, Frank J., additional, Monteiro, Pedro M. S., additional, Munro, David R., additional, Murata, Akihiko, additional, Newberger, Timothy, additional, Omar, Abdirahman M., additional, Ono, Tsuneo, additional, Paterson, Kristina, additional, Pearce, David, additional, Pierrot, Denis, additional, Robbins, Lisa L., additional, Saito, Shu, additional, Salisbury, Joe, additional, Schlitzer, Reiner, additional, Schneider, Bernd, additional, Schweitzer, Roland, additional, Sieger, Rainer, additional, Skjelvan, Ingunn, additional, Sullivan, Kevin F., additional, Sutherland, Stewart C., additional, Sutton, Adrienne J., additional, Tadokoro, Kazuaki, additional, Telszewski, Maciej, additional, Tuma, Matthias, additional, Van Heuven, Steven M. A. C., additional, Vandemark, Doug, additional, Ward, Brian, additional, Watson, Andrew J., additional, and Xu, Suqing, additional

Published
2016
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27. Improved working set selection for LaRank

Author

Real, Pedro, Diaz-Pernil, Daniel, Molina-Abril, Helena, Berciano, Ainhoa, Kropatsch, Walter, Tuma, Matthias, Igel, Christian, Real, Pedro, Diaz-Pernil, Daniel, Molina-Abril, Helena, Berciano, Ainhoa, Kropatsch, Walter, Tuma, Matthias, and Igel, Christian

Published
2011

30. Computation and Analysis of the Global Distribution of the Radioxenon Isotope 133Xe based on Emissions from Nuclear Power Plants and Radioisotope Production Facilities and its Relevance for the Verification of the Nuclear-Test-Ban Treaty.

Author

Wotawa, Gerhard, Becker, Andreas, Kalinowski, Martin, Saey, Paul, Tuma, Matthias, and Zähringer, Matthias

Subjects
XENON isotopes, NUCLEAR Test Ban Treaty (1963), NOBLE gases, NUCLEAR power plants, NUCLEAR facilities
Abstract

Monitoring of radioactive noble gases, in particular xenon isotopes, is a crucial element of the verification of the Comprehensive Nuclear-Test-Ban Treaty (CTBT). The capability of the noble gas network, which is currently under construction, to detect signals from a nuclear explosion critically depends on the background created by other sources. Therefore, the global distribution of these isotopes based on emissions and transport patterns needs to be understood. A significant xenon background exists in the reactor regions of North America, Europe and Asia. An emission inventory of the four relevant xenon isotopes has recently been created, which specifies source terms for each power plant. As the major emitters of xenon isotopes worldwide, a few medical radioisotope production facilities have been recently identified, in particular the facilities in Chalk River (Canada), Fleurus (Belgium), Pelindaba (South Africa) and Petten (Netherlands). Emissions from these sites are expected to exceed those of the other sources by orders of magnitude. In this study, emphasis is put on 133Xe, which is the most prevalent xenon isotope. First, based on the emissions known, the resulting 133Xe concentration levels at all noble gas stations of the final CTBT verification network were calculated and found to be consistent with observations. Second, it turned out that emissions from the radioisotope facilities can explain a number of observed peaks, meaning that atmospheric transport modelling is an important tool for the categorization of measurements. Third, it became evident that Nuclear Power Plant emissions are more difficult to treat in the models, since their temporal variation is high and not generally reported. Fourth, there are indications that the assumed annual emissions may be underestimated by factors of two to ten, while the general emission patterns seem to be well understood. Finally, it became evident that 133Xe sources mainly influence the sensitivity of the monitoring system in the mid-latitudes, where the network coverage is particularly good. [ABSTRACT FROM AUTHOR]

Published
2010
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