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  • Authors

    Author

    Chuntao Liu - Texas A&M University
    Joan Alexander - Northwest Research Associates
    Jadwiga Richter - National Center for Atmospheric Research (NCAR)
    Julio Bacmeister - National Center for Atmospheric Research (NCAR)
    Journal
    Journal of Geophysical Research: Atmospheres
    Year of Publication
    2022
    Abstract / Summary
    Due to a lack of observations, it is a big challenge to quantify the momentum flux transported from the troposphere into the lower stratosphere by...
    Volume
    127
    Number
    1
    Date Published
    01/2022
    URL
    https://doi.org/10.1029/2021JD035785
    DOI
    10.1029/2021jd035785
    Liu, Chuntao, Joan Alexander, Jadwiga Richter, and Julio Bacmeister. 2022. “Using Trmm Latent Heat As A Source To Estimate Convection Induced Gravity Wave Momentum Flux In The Lower Stratosphere”. Journal Of Geophysical Research: Atmospheres 127 (1). American Geophysical Union (AGU). doi:10.1029/2021jd035785.
    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

    A. B. Marquardt Collow - University of Maryland Baltimore County (UMBC), Universities Space Research Association, NASA Goddard Space Flight Center (GSFC)
    C. A. Shields - National Center for Atmospheric Research (NCAR) - Climate and Global Dynamics Laboratory
    B. Guan - University of California Los Angeles (UCLA), NASA Jet Propulsion Laboratory (JPL)
    S. Kim - University of California Berkeley (UC Berkeley)
    J. M. Lora - Yale University
    E. E. McClenny - University of California Davis (UC Davis)
    K. Nardi - Pennsylvania State University
    A. Payne - University of Michigan, Tomorrow.io
    K. Reid - University of Melbourne - Australia
    E. J. Shearer - University of California Irvine (UC Irvine)
    R. Tome - Universidade de Lisboa - Portugal
    J. D. Wille - Institut des Géosciences de l'Environnement - France
    A. M. Ramos - Universidade de Lisboa - Portugal
    I. V. Gorodetskaya - University of Aveiro
    L. R. Leung - Pacific Northwest National Laboratory (PNNL)
    T. A. O’Brien - Indiana University, Lawrence Berkeley National Laboratory (LBNL)
    F. M. Ralph - Scripps Institution of Oceanography (SIO)
    J. Rutz - National Oceanic and Atmospheric Administration (NOAA)
    P. A. Ullrich - University of California Davis (UC Davis)
    M. Wehner - Lawrence Berkeley National Laboratory (LBNL)
    Journal
    Journal of Geophysical Research: Atmospheres
    Year of Publication
    2022
    Abstract / Summary
    Atmospheric rivers, or long but narrow regions of enhanced water vapor transport, are an important component of the hydrologic cycle as they are...
    Volume
    127
    Number
    8
    Date Published
    03/2022
    URL
    https://doi.org/10.1029/2021JD036155
    DOI
    10.1029/2021jd036155
    Collow, A. B. Marquardt, C. A. Shields, B. Guan, S. Kim, J. M. Lora, E. E. McClenny, K. Nardi, et al. 2022. “An Overview Of Artmip's Tier 2 Reanalysis Intercomparison: Uncertainty In The Detection Of Atmospheric Rivers And Their Associated Precipitation”. Journal Of Geophysical Research: Atmospheres 127 (8). American Geophysical Union (AGU). doi:10.1029/2021jd036155.
    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

    J. T. Fasullo - National Center for Atmospheric Research (NCAR), University of Colorado - Boulder
    Jean‐Francois Lamarque - National Center for Atmospheric Research (NCAR)
    Cecile Hannay - National Center for Atmospheric Research (NCAR)
    Nan A Rosenbloom - National Center for Atmospheric Research (NCAR)
    Simone Tilmes - National Center for Atmospheric Research (NCAR)
    Patricia DeRepentigny - University of Colorado - Boulder
    Alexandra Jahn - University of Colorado - Boulder
    Clara Deser - National Center for Atmospheric Research (NCAR)
    Journal
    Geophysical Research Letters
    Year of Publication
    2022
    Abstract / Summary
    A spurious increase in the interannual variability of prescribed biomass burning (BB) emissions in the CMIP6 forcing database during the satellite era...
    Volume
    49
    Number
    2
    Date Published
    01/2022
    URL
    https://doi.org/10.1029/2021GL097420
    DOI
    10.1029/2021gl097420
    Fasullo, J. T., Jean‐Francois Lamarque, Cecile Hannay, Nan A Rosenbloom, Simone Tilmes, Patricia DeRepentigny, Alexandra Jahn, and Clara Deser. 2022. “Spurious Late Historical‐Era Warming In Cesm2 Driven By Prescribed Biomass Burning Emissions”. Geophysical Research Letters 49 (2). American Geophysical Union (AGU). doi:10.1029/2021gl097420.
    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

    Prabhat Kumar - Lawrence Berkeley National Laboratory (LBNL)
    Karthik Kashinath - Lawrence Berkeley National Laboratory (LBNL)
    Mayur Mudigonda - Terrafuse
    Sol Kim - University of California Berkeley (UC Berkeley)
    Lukas Kapp-Schwoerer - ETH Zurich
    Andre Graubner - ETH Zurich
    Ege Karaismailoglu - ETH Zurich
    Leo von Kleist - ETH Zurich
    Thorsten Kurth - NVIDIA Corporation
    Annette Greiner - Lawrence Berkeley National Laboratory (LBNL)
    Ankur Mahesh - University of California Berkeley (UC Berkeley)
    Kevin Yang - University of California Berkeley (UC Berkeley)
    Colby Lewis - University of California Berkeley (UC Berkeley)
    Jiayi Chen - University of California Berkeley (UC Berkeley)
    Andrew Lou - University of California Berkeley (UC Berkeley)
    Sathyavat Chandran - Rice University
    Ben Toms - Colorado State University
    Will Chapman - Scripps Institution of Oceanography (SIO)
    Katherine Dagon - National Center for Atmospheric Research (NCAR)
    Christine A. Shields - National Center for Atmospheric Research (NCAR)
    Travis A O'Brien - Indiana University, Lawrence Berkeley National Laboratory (LBNL)
    Michael Wehner - Lawrence Berkeley National Laboratory (LBNL)
    William Collins - Lawrence Berkeley National Laboratory (LBNL), University of California Berkeley (UC Berkeley)
    Journal
    Geoscientific Model Development
    Year of Publication
    2021
    Abstract / Summary
    Identifying, detecting, and localizing extreme weather events is a crucial first step in understanding how they may vary under different climate...
    Volume
    14
    Number
    1
    Pages
    107-124
    Date Published
    01/2021
    DOI
    10.5194/gmd-14-107-2021
    Kumar, Prabhat, Karthik Kashinath, Mayur Mudigonda, Sol Kim, Lukas Kapp-Schwoerer, Andre Graubner, Ege Karaismailoglu, et al. 2021. “Climatenet: An Expert-Labeled Open Dataset And Deep Learning Architecture For Enabling High-Precision Analyses Of Extreme Weather”. Geoscientific Model Development 14 (1). Copernicus GmbH: 107-124. doi:10.5194/gmd-14-107-2021.
    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)
  • Authors

    Author

    Hui Li - National Center for Atmospheric Research (NCAR)
    Alexey Fedorov - Yale University, Sorbonne Université - France
    Wei Liu - University of California Riverside (UC Riverside)
    Journal
    Journal of Climate
    Year of Publication
    2021
    Abstract / Summary
    This study compares the impacts of Arctic sea ice decline on the Atlantic Meridional Overturning Circulation (AMOC) in two configurations of the...
    Volume
    34
    Number
    13
    Pages
    5443–5460
    Date Published
    07/2021
    URL
    https://doi.org/10.1175/JCLI-D-20-0572.1
    DOI
    10.1175/jcli-d-20-0572.1
    Li, Hui, Alexey Fedorov, and Wei Liu. 2021. “Amoc Stability And Diverging Response To Arctic Sea Ice Decline In Two Climate Models”. Journal Of Climate 34. American Meteorological Society: 5443–5460. doi:10.1175/jcli-d-20-0572.1.
    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

    Hui Li - National Center for Atmospheric Research (NCAR)
    Alexey V. Fedorov - Yale University
    Journal
    Climate Dynamics
    Year of Publication
    2021
    Abstract / Summary
    Atmospheric rivers, or long but narrow regions of enhanced water vapor transport, are an important component of the hydrologic cycle as they are...
    Volume
    57
    Pages
    2995-3013
    Date Published
    06/2021
    URL
    https://link.springer.com/article/10.1007/s00382-021-05850-5
    DOI
    10.1007/s00382-021-05850-5
    Li, Hui, and Alexey V. Fedorov. 2021. “Persistent Freshening Of The Arctic Ocean And Changes In The North Atlantic Salinity Caused By Arctic Sea Ice Decline”. Climate Dynamics 57 (11-12). Springer Science and Business Media LLC: 2995-3013. doi:10.1007/s00382-021-05850-5.
    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

    Travis Aerenson - University of Washington
    Roger Marchand - University of Washington
    Helene Chepfer - Sorbonne Université - France
    Brian Medeiros - National Center for Atmospheric Research (NCAR)
    Journal
    Journal of Geophysical Research: Atmospheres
    Year of Publication
    2022
    Abstract / Summary
    It is predicted by both theory and models that high-altitude clouds will occur higher in the atmosphere as a result of climate warming. This produces...
    Volume
    127
    Number
    2
    Date Published
    01/2022
    URL
    https://doi.org/10.1029/2021JD035865
    DOI
    10.1029/2021jd035865
    Aerenson, Travis, Roger Marchand, Hélène Chepfer, and Brian Medeiros. 2022. “When Will Misr Detect Rising High Clouds?”. Journal Of Geophysical Research: Atmospheres 127 (2). American Geophysical Union (AGU). doi:10.1029/2021jd035865.
    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)

  • When Will MISR Detect Rising High Clouds?

    Publication Date
    13 January 2022
    Funding Program Area(s)
    RGMA
    Summary
    Trends in high-altitude cloud-top height are expected to be robustly detected within the next few years. This work, along with previous results from...
  • Authors

    Author

    R. Rios‐Berrios - National Center for Atmospheric Research (NCAR)
    G. H. Bryan - National Center for Atmospheric Research (NCAR)
    B. Medeiros - National Center for Atmospheric Research (NCAR)
    F. Judt - National Center for Atmospheric Research (NCAR)
    Wei Wang - National Center for Atmospheric Research (NCAR)
    Journal
    Journal of Advances in Modeling Earth Systems
    Year of Publication
    2022
    Abstract / Summary
    This study investigates the effects of resolved deep convection on tropical rainfall and its multi-scale variability. A series of aquaplanet...
    Volume
    14
    Date Published
    04/2022
    URL
    https://doi.org/10.1029/2021MS002902
    DOI
    10.1029/2021ms002902
    Rios‐Berrios, R., G. H. Bryan, B. Medeiros, F. Judt, and Wei Wang. 2022. “Differences In Tropical Rainfall In Aquaplanet Simulations With Resolved Or Parameterized Deep Convection”. Journal Of Advances In Modeling Earth Systems 14. American Geophysical Union (AGU). doi:10.1029/2021ms002902.
    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

    N. J. Steinert - University of Madrid - Spain
    J. F. González‐Rouco - University of Madrid - Spain
    C. A. Melo Aguilar - University of Madrid - Spain
    F. García Pereira - University of Madrid - Spain
    E. García‐Bustamante - University of Madrid - Spain
    P. Vrese - Max Planck Institute for Meteorology
    V. Alexeev - University of Alaska Fairbanks
    J. H. Jungclaus - Max Planck Institute for Meteorology
    S. J. Lorenz - Max Planck Institute for Meteorology
    S. Hagemann - Helmholtz‐Zentrum Hereon
    Journal
    Geophysical Research Letters
    Year of Publication
    2021
    Abstract / Summary
    Previous analytical and simulation-based analyses suggest that deeper land surface models are needed to realistically simulate the terrestrial thermal...
    Volume
    48
    Number
    20
    Date Published
    10/2021
    URL
    https://doi.org/10.1029/2021GL094273
    DOI
    10.1029/2021gl094273
    Steinert, N. J., J. F. González‐Rouco, C. A. Melo Aguilar, F. García Pereira, E. García‐Bustamante, P. Vrese, V. Alexeev, J. H. Jungclaus, S. J. Lorenz, and S. Hagemann. 2021. “Agreement Of Analytical And Simulation‐Based Estimates Of The Required Land Depth In Climate Models”. Geophysical Research Letters 48 (20). American Geophysical Union (AGU). doi:10.1029/2021gl094273.
    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)
    InteRFACE: Interdisciplinary Research for Arctic Coastal Environments
  • Authors

    Author

    Pouya Vahmani - Lawrence Berkeley National Laboratory (LBNL)
    Xuan Luo - Lawrence Berkeley National Laboratory (LBNL)
    Andrew Jones - Lawrence Berkeley National Laboratory (LBNL)
    Tianzhen Hong - Lawrence Berkeley National Laboratory (LBNL)
    Journal
    Building and Environment
    Year of Publication
    2022
    Abstract / Summary
    Cities consume 2/3 of global energy and consequently release a large amount of anthropogenic heat into urban environments, which are already...
    Volume
    213
    Pages
    108841
    Date Published
    04/2022
    URL
    https://doi.org/10.1016/j.buildenv.2022.108841
    DOI
    10.1016/j.buildenv.2022.108841
    Vahmani , Pouya, Xuan Luo, Andrew Jones, and Tianzhen Hong. 2022. “Anthropogenic Heating Of The Urban Environment: An Investigation Of Feedback Dynamics Between Urban Micro-Climate And Decomposed Anthropogenic Heating From Buildings”. Building And Environment 213. Elsevier BV: 108841. doi:10.1016/j.buildenv.2022.108841.
    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

Showing 61 - 90 of 7811

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