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Meetings

  • Authors

    Author

    Jaclyn Clement Kinney - Naval Postgraduate School (NPS)
    Wieslaw Maslowski - Naval Postgraduate School (NPS)
    Robert Osinski - Polish Academy of Sciences - Institute of Oceanology
    Younjoo J. Lee - Naval Postgraduate School (NPS)
    Christina Goethel - University of Maryland Center for Environmental Science
    Karen Frey - Clark University
    Anthony Craig - University of Colorado - Boulder
    Journal
    PLOS ONE
    Year of Publication
    2022
    Abstract / Summary
    The Bering Sea experiences a seasonal sea ice cover, which is important to the biophysical environment found there. A pool of cold bottom water (<2°C)...
    Volume
    17
    Pages
    e0266180
    Date Published
    04/2022
    URL
    https://doi.org/10.1371/journal.pone.0266180
    DOI
    10.1371/journal.pone.0266180
    Clement Kinney, Jaclyn, Wieslaw Maslowski, Robert Osinski, Younjoo J. Lee, Christina Goethel, Karen Frey, and Anthony Craig. 2022. “On The Variability Of The Bering Sea Cold Pool And Implications For The Biophysical Environment”. Plos One 17 (4). Public Library of Science (PLoS): e0266180. doi:10.1371/journal.pone.0266180.
    Funding Program Area(s)

    Regional & Global Model Analysis

    RGMA
    The Regional & Global Model Analysis (RGMA) program area advances the predictive understanding of Earth’s climate by focusing on a scientific analysis of the dominant sets of governing processes that describe climate variability and change at scales ranging from global to regional, and subseasonal to centennial.
    Project(s)
    High-Latitude Application and Testing of Earth System Models (HiLAT-RASM)
  • Authors

    Author

    Christa Brelsford - Oak Ridge National Laboratory (ORNL)
    Andrew Jones - Lawrence Berkeley National Laboratory (LBNL)
    Melissa Allen-Dumas - Oak Ridge National Laboratory (ORNL)
    Melissa Bukovsky - National Center for Atmospheric Research (NCAR)
    Iryna Dronova - University of California Berkeley (UC Berkeley)
    Tianzhen Hong - Lawrence Berkeley National Laboratory (LBNL)
    David Iwaniec - Sustainability Scientist
    Sam Markolf - University of California Merced
    Michele Newcomer - Lawrence Berkeley National Laboratory (LBNL)
    Peter Nico - Lawrence Berkeley National Laboratory (LBNL)
    Deeksha Rastogi - Oak Ridge National Laboratory (ORNL)
    Sean Reid - University of California Santa Barbara (UC Santa Barbara)
    Kevin Sparks - Oak Ridge National Laboratory (ORNL)
    Joe Tucillo
    Zhonghua Zheng - National Center for Atmospheric Research (NCAR)
    Year of Publication
    2021
    Abstract / Summary
    Urban areas and the supply networks that support their resource use are inherently Multi Sectoral systems composed of infrastructural, environmental...
    Date Published
    10/2021
    Brelsford, Christa, Andrew Jones, Melissa Allen-Dumas, Melissa Bukovsky, Iryna Dronova, Tianzhen Hong, David Iwaniec, et al. 2021. “Multi-Sectoral Urban Interactions: Fundamental Science Needs To Inform Pathways To More Resilient Communities In A Changing Climate”.
    Funding Program Area(s)

    MultiSector Dynamics

    MSD
    The MultiSector Dynamics program area seeks to advance scientific understanding of the complex interactions, interdependencies, and co-evolutionary pathways of human and natural systems, including interdependencies among sectors and infrastructures. These model efforts inform some of the most significant energy, economic, and infrastructure decisions affecting the world today.
    Original Publication
    Brelsford_Jones_Urban_Workshop_Report_2021.pdf (8.33 MB)
  • Authors

    Author

    Robert Vallario - U.S. Department of Energy
    Jeffrey Arnold - U.S. Army Corps of Engineers
    John Weyant - Stanford University
    Year of Publication
    2020
    Abstract / Summary
    Organized around five sessions held over five days, the workshop series focused on the challenges of modeling and evaluating coastal landscapes of co...
    Date Published
    11/2020
    Publisher
    U.S. Global Change Research Program
    Place Published
    Washington, DC
    Vallario, Robert, Jeffrey Arnold, and John Weyant. 2020. “Coastal Integrated Hydro Terrestrial Modeling: A Multi-Agency Invited Workshop ”. Washington, DC: U.S. Global Change Research Program.
    Funding Program Area(s)

    MultiSector Dynamics

    MSD
    The MultiSector Dynamics program area seeks to advance scientific understanding of the complex interactions, interdependencies, and co-evolutionary pathways of human and natural systems, including interdependencies among sectors and infrastructures. These model efforts inform some of the most significant energy, economic, and infrastructure decisions affecting the world today.
    Original Publication
    C-IHTM_Workshop_Report_Nov2020.pdf (1.41 MB)
  • Authors

    Author

    P. Vahmani - Lawrence Berkeley National Laboratory (LBNL)
    A. D. Jones - Lawrence Berkeley National Laboratory (LBNL)
    D. Li - Boston University
    Journal
    Earth's Future
    Year of Publication
    2021
    Abstract / Summary
    Climate modeling studies and observations do not fully agree on the implications of anthropogenic warming for evapotranspiration (ET), a major...
    Volume
    10
    Number
    1
    Date Published
    03/2021
    URL
    https://doi.org/10.1029/2021EF002221
    DOI
    10.1029/2021ef002221
    Vahmani, P., A. D. Jones, and D. Li. 2021. “Will Anthropogenic Warming Increase Evapotranspiration? Examining Irrigation Water Demand Implications Of Climate Change In California”. Earth's Future 10 (1). American Geophysical Union (AGU). doi:10.1029/2021ef002221.
    Funding Program Area(s)

    MultiSector Dynamics

    MSD
    The MultiSector Dynamics program area seeks to advance scientific understanding of the complex interactions, interdependencies, and co-evolutionary pathways of human and natural systems, including interdependencies among sectors and infrastructures. These model efforts inform some of the most significant energy, economic, and infrastructure decisions affecting the world today.
    Additional Resources:
    NERSC (National Energy Research Scientific Computing Center)
    Project(s)
    Integrated Multisector, Multiscale Modeling (IM3) Scientific Focus Area
  • Authors

    Author

    B. H. Samset - CICERO Center for International Climate Research - Norway
    C. Zhou - Nanjing University
    J. S. Fuglestvedt - CICERO Center for International Climate Research - Norway
    M. T. Lund - CICERO Center for International Climate Research - Norway
    J. Marotzke - Max Planck Institute for Meteorology
    M. D. Zelinka - Lawrence Livermore National Laboratory (LLNL)
    Journal
    Nature Communications
    Year of Publication
    2022
    Abstract / Summary
    The rate of global surface warming is crucial for tracking progress towards global climate targets, but is strongly influenced by interannual-to...
    Volume
    13
    Number
    1578
    Date Published
    03/2022
    URL
    https://www.nature.com/articles/s41467-022-29247-y
    DOI
    10.1038/s41467-022-29247-y
    Samset, B. H., C. Zhou, J. S. Fuglestvedt, M. T. Lund, J. Marotzke, and M. D. Zelinka. 2022. “Earlier Emergence Of A Temperature Response To Mitigation By Filtering Annual Variability”. Nature Communications 13 (1). Springer Science and Business Media LLC. doi:10.1038/s41467-022-29247-y.
    Funding Program Area(s)

    Regional & Global Model Analysis

    RGMA
    The Regional & Global Model Analysis (RGMA) program area advances the predictive understanding of Earth’s climate by focusing on a scientific analysis of the dominant sets of governing processes that describe climate variability and change at scales ranging from global to regional, and subseasonal to centennial.
    Project(s)
    PCMDI – An Earth System Model Evaluation Project
  • Authors

    Author

    Wendy Zhou - Pacific Northwest National Laboratory (PNNL)
    L. Ruby Leung - Pacific Northwest National Laboratory (PNNL)
    Jian Lu - Pacific Northwest National Laboratory (PNNL)
    Journal
    Journal of Climate
    Year of Publication
    2022
    Abstract / Summary
    AbstractThis study investigates the responses of the hydroclimate and extremes in the U.S. Midwest to global warming, based on ensemble projections of...
    Volume
    35
    Number
    1
    Pages
    17-27
    Date Published
    01/2022
    DOI
    10.1175/jcli-d-21-0012.1
    Zhou, Wendy, L. Ruby Leung, and Jian Lu. 2022. “Seasonally Dependent Future Changes In The U.s. Midwest Hydroclimate And Extremes”. Journal Of Climate 35 (1). American Meteorological Society: 17-27. doi:10.1175/jcli-d-21-0012.1.
    Funding Program Area(s)

    Regional & Global Model Analysis

    RGMA
    The Regional & Global Model Analysis (RGMA) program area advances the predictive understanding of Earth’s climate by focusing on a scientific analysis of the dominant sets of governing processes that describe climate variability and change at scales ranging from global to regional, and subseasonal to centennial.

    MultiSector Dynamics

    MSD
    The MultiSector Dynamics program area seeks to advance scientific understanding of the complex interactions, interdependencies, and co-evolutionary pathways of human and natural systems, including interdependencies among sectors and infrastructures. These model efforts inform some of the most significant energy, economic, and infrastructure decisions affecting the world today.
    Project(s)
    A Framework for Improving Analysis and Modeling of Earth System and Intersectoral Dynamics at Regional Scales (HyperFACETS)

  • Low-Level Jets Along the U.S. East Coast

    Publication Date
    9 January 2022
    Image(s)
    The warm-season central U.S. hydroclimate is regulated by two major systems coupled to the westerly jet that changes with the climate. Image by kimadababe | Flickr
    Funding Program Area(s)
    RGMA MSD
    Summary
    Two years of high-resolution simulations conducted with the Weather Research and Forecasting (WRF) model are used to characterize the frequency...
  • Year of Publication
    2021
    Date Published
    10/2021
    “A Cooperative Agreement To Model Future Climate Change”. 2021.
    Funding Program Area(s)

    Regional & Global Model Analysis

    RGMA
    The Regional & Global Model Analysis (RGMA) program area advances the predictive understanding of Earth’s climate by focusing on a scientific analysis of the dominant sets of governing processes that describe climate variability and change at scales ranging from global to regional, and subseasonal to centennial.
    Project(s)
    A Cooperative Agreement to Analyze variability, Change and Predictability in the Earth System (CATALYST)
    Original Publication
    CATALYSTFactSheet4b.pdf (922.65 KB)
  • Year of Publication
    2021
    Abstract / Summary
    The NA-CORDEX data archive contains output from regional climate models (RCMs) run over a domain covering most of North America. These simulations are...
    Date Published
    10/2021
    Originating Institution
    NCAR Climate Data Gateway
    Publishing Location or Service
    Boulder CO
    URL
    https://na-cordex.org/
    DOI
    10.5065/D6SJ1JCH
    Date Accessed
    2014-04-13
    “Na-Cordex Data Archive”. 2021. Boulder CO: NCAR Climate Data Gateway. doi:10.5065/D6SJ1JCH.
    Funding Program Area(s)

    Earth System Model Development

    ESMD
    The Earth System Model Development (ESMD) program area supports innovative and computationally advanced earth system modeling capabilities, with the goal of providing accurate representations of the fully coupled and integrated Earth system, as needed for energy and related sectoral infrastructure planning.

    Regional & Global Model Analysis

    RGMA
    The Regional & Global Model Analysis (RGMA) program area advances the predictive understanding of Earth’s climate by focusing on a scientific analysis of the dominant sets of governing processes that describe climate variability and change at scales ranging from global to regional, and subseasonal to centennial.

    MultiSector Dynamics

    MSD
    The MultiSector Dynamics program area seeks to advance scientific understanding of the complex interactions, interdependencies, and co-evolutionary pathways of human and natural systems, including interdependencies among sectors and infrastructures. These model efforts inform some of the most significant energy, economic, and infrastructure decisions affecting the world today.
  • Authors

    Author

    N. A. Davis - Pacific Northwest National Laboratory (PNNL)
    J. H. Richter - National Center for Atmospheric Research (NCAR)
    A. A. Glanville - National Center for Atmospheric Research (NCAR)
    J. Edwards - National Center for Atmospheric Research (NCAR)
    E. LaJoie - National Oceanic and Atmospheric Administration (NOAA)
    Journal
    Nature Communications
    Year of Publication
    2022
    Abstract / Summary
    Subseasonal weather prediction can reduce economic disruption and loss of life, especially during “windows of opportunity” when noteworthy events in...
    Volume
    13
    Number
    1136
    Date Published
    03/2022
    URL
    https://www.nature.com/articles/s41467-022-28836-1
    DOI
    10.1038/s41467-022-28836-1
    Davis, N. A., J. H. Richter, A. A. Glanville, J. Edwards, and E. LaJoie. 2022. “Limited Surface Impacts Of The January 2021 Sudden Stratospheric Warming”. Nature Communications 13 (1). Springer Science and Business Media LLC. doi:10.1038/s41467-022-28836-1.
    Funding Program Area(s)

    Regional & Global Model Analysis

    RGMA
    The Regional & Global Model Analysis (RGMA) program area advances the predictive understanding of Earth’s climate by focusing on a scientific analysis of the dominant sets of governing processes that describe climate variability and change at scales ranging from global to regional, and subseasonal to centennial.
    Project(s)
    A Cooperative Agreement to Analyze variability, Change and Predictability in the Earth System (CATALYST)
  • Authors

    Author

    Michael Wehner - Lawrence Berkeley National Laboratory (LBNL)
    Book Title
    Mathematics for action: supporting science-based decision-making
    Year of Publication
    2022
    Abstract / Summary
    Since 1970, extreme weather hazards have occurred every day, on average, over the past 50 years, according to the World Meteorological Organization...
    Chapter
    13
    Pages
    37-38
    Date Published
    01/2022
    Publisher
    UNESCO
    City of Publication
    Paris, France
    ISBN Number
    978-92-3-100517-6
    URL
    https://unesdoc.unesco.org/ark:/48223/pf0000380883.locale=en
    Wehner, Michael. 2022. “Attributing Extreme Weather: The New Science Of Extreme Event Attributing Extreme Weather: The New Science Of Extreme Event Attribution ”. In Mathematics For Action: Supporting Science-Based Decision-Making, 37-38. Paris, France: UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000380883.locale=en.
    Funding Program Area(s)

    Regional & Global Model Analysis

    RGMA
    The Regional & Global Model Analysis (RGMA) program area advances the predictive understanding of Earth’s climate by focusing on a scientific analysis of the dominant sets of governing processes that describe climate variability and change at scales ranging from global to regional, and subseasonal to centennial.
    Project(s)
    Integrated Coastal Modeling (ICoM)
    Original Publication
    380883eng.pdf (22.2 MB)
    Wehner 2022 UNESCO_highlight.pptx (3.16 MB)
  • Authors

    Author

    Scott Power - University of Southern Queensland - Australia, Monash University
    Matthieu Lengaigne - University of Montpellier - France
    Antonietta Capotondi - University of Colorado - Boulder, National Oceanic and Atmospheric Administration (NOAA)
    Myriam Khodri - Sorbonne Université - France
    Jérôme Vialard - Sorbonne Université - France
    Beyrem Jebri - Sorbonne Université - France
    Eric Guilyardi - Sorbonne Université - France, University of Reading - UK
    Shayne McGregor - Monash University
    Jong-Seong Kug - Pohang University of Science and Technology (POSTECH)
    Matthew Newman - University of Colorado - Boulder, National Oceanic and Atmospheric Administration (NOAA)
    Michael J. McPhaden - National Oceanic and Atmospheric Administration (NOAA)
    Gerald A Meehl - National Center for Atmospheric Research (NCAR)
    Doug Smith - Met Office
    Julia Cole - University of Michigan
    Julien Emile-Geay - University of Southern California
    Daniel J. Vimont - University of Wisconsin Madison
    Andrew T. Wittenberg - NOAA Geophysical Fluid Dynamics Laboratory (GFDL)
    Mat Collins - University of Exeter - UK
    Geon-Il Kim - Pohang University of Science and Technology (POSTECH)
    Wenju Cai - Centre for Southern Hemisphere Oceans Research - Australia, Ocean University of China, Qingdao National Laboratory for Marine Science and Technology
    Yuko Okumura - University of Texas at Austin
    Christine T Y Chung - Bureau of Meteorology - Australia
    Kim M. Cobb - Georgia Institute of Technology
    François Delage - Bureau of Meteorology - Australia
    Yann Y. Planton - National Oceanic and Atmospheric Administration (NOAA)
    Aaron Levine - National Oceanic and Atmospheric Administration (NOAA)
    Feng Zhu - University of Texas at Austin
    Janet Sprintall - University of California San Diego (UC San Diego)
    Emanuele Di Lorenzo - Georgia Institute of Technology
    Xuebin Zhang - Centre for Southern Hemisphere Oceans Research - Australia
    Jing-Jia Luo - Nanjing University of Information Science and Technology
    Xiaopei Lin - Ocean University of China - China, Qingdao National Laboratory for Marine Science and Technology
    Magdalena Balmaseda - European Centre for Medium‐Range Weather Forecasts (ECMWF)
    Guojian Wang - Centre for Southern Hemisphere Oceans Research - Australia
    Benjamin J. Henley - Monash University
    Journal
    Science
    Year of Publication
    2021
    Abstract / Summary
    Climate variability in the tropical Pacific affects global climate on a wide range of time scales. On interannual time scales, the tropical Pacific is...
    Volume
    374
    Date Published
    10/2021
    URL
    https://www.science.org/doi/10.1126/science.aay9165
    DOI
    10.1126/science.aay9165
    Power, Scott, Matthieu Lengaigne, Antonietta Capotondi, Myriam Khodri, Jérôme Vialard, Beyrem Jebri, Eric Guilyardi, et al. 2021. “Decadal Climate Variability In The Tropical Pacific: Characteristics, Causes, Predictability, And Prospects”. Science 374 (6563). American Association for the Advancement of Science (AAAS). doi:10.1126/science.aay9165.
    Funding Program Area(s)

    Regional & Global Model Analysis

    RGMA
    The Regional & Global Model Analysis (RGMA) program area advances the predictive understanding of Earth’s climate by focusing on a scientific analysis of the dominant sets of governing processes that describe climate variability and change at scales ranging from global to regional, and subseasonal to centennial.
    Project(s)
    A Cooperative Agreement to Analyze variability, Change and Predictability in the Earth System (CATALYST)

Showing 31 - 60 of 7811

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