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  • Authors

    Author

    Saman Armal - City College of New York (CUNY)
    Naresh Devineni - City College of New York (CUNY)
    Nir Y. Krakauer - City College of New York (CUNY)
    Reza Khanbilvardi - City College of New York (CUNY)
    Journal
    Hydrological Processes
    Year of Publication
    2020
    Abstract / Summary
    Decadal prediction using climate models faces long‐standing challenges. While global climate models may reproduce long‐term shifts in climate due to...
    Pages
    1-15
    Date Published
    07/2020
    URL
    http://dx.doi.org/10.1002/hyp.13853
    DOI
    10.1002/hyp.13853
    Armal, Saman, Naresh Devineni, Nir Y. Krakauer, and Reza Khanbilvardi. 2020. “Simulating Precipitation In The Northeast United States Using A Climate‐Informed K‐Nearest Neighbour Algorithm ”. Hydrological Processes, 1-15. doi:10.1002/hyp.13853.
    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)
    Multi-scale Modeling of Extreme Events and Impact Information
  • Authors

    Author

    Arun Ravindranath - City College of New York (CUNY)
    Naresh Devineni - City College of New York (CUNY)
    Journal
    Journal of Hydrology
    Year of Publication
    2020
    Abstract / Summary
    This paper presents a new framework for quantitatively identifying, characterizing and analyzing systematic hydrological cycles resulting from...
    Volume
    582
    Pages
    124423
    Date Published
    03/2020
    URL
    http://dx.doi.org/10.1016/j.jhydrol.2019.124423
    DOI
    10.1016/j.jhydrol.2019.124423
    Ravindranath, Arun, and Naresh Devineni. 2020. “Quantifying Streamflow Regime Behavior And Its Sensitivity To Demand”. Journal Of Hydrology 582: 124423. doi:10.1016/j.jhydrol.2019.124423.
    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)
    Multi-scale Modeling of Extreme Events and Impact Information
  • Authors

    Author

    Arun Ravindranath - City College of New York (CUNY)
    Naresh Devineni - City College of New York (CUNY)
    Upmanu Lall - Columbia University
    Edward Cook - Columbia University
    Greg Pederson - U.S. Geological Survey (USGS)
    Justin Martin - U.S. Geological Survey (USGS)
    Connie Woodhouse - University of Arizona
    Journal
    Water Resources Research
    Year of Publication
    2019
    Abstract / Summary
    A Bayesian model that uses the spatial dependence induced by the river network topology and the leading principal components of regional tree ring...
    Volume
    55
    Pages
    7694 - 7716
    Date Published
    09/2019
    URL
    https://doi.org/10.1029/2019WR024901
    DOI
    10.1029/2019WR024901
    Ravindranath, Arun, Naresh Devineni, Upmanu Lall, Edward Cook, Greg Pederson, Justin Martin, and Connie Woodhouse. 2019. “Streamflow Reconstruction In The Upper Missouri River Basin Using A Novel Bayesian Network Model”. Water Resources Research 55: 7694 - 7716. doi:10.1029/2019WR024901.
    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)
    Multi-scale Modeling of Extreme Events and Impact Information
  • Authors

    Author

    Irina Overeem - University of Colorado - Boulder
    Jaap H. Nienhuis - Utrecht University - Netherlands
    Anastasia Piliouras - Los Alamos National Laboratory (LANL)
    Journal
    Nature Reviews Earth & Environment
    Year of Publication
    2022
    Abstract / Summary
    Arctic deltas form the critical interface between the Arctic landscape and the ocean. They filter freshwater, sediment, carbon and biochemical fluxes...
    Volume
    3
    Pages
    225-240
    Date Published
    03/2022
    URL
    https://www.nature.com/articles/s43017-022-00268-x
    DOI
    10.1038/s43017-022-00268-x
    Overeem, Irina, Jaap H. Nienhuis, and Anastasia Piliouras. 2022. “Ice-Dominated Arctic Deltas”. Nature Reviews Earth & Environment 3 (4). Springer Science and Business Media LLC: 225-240. doi:10.1038/s43017-022-00268-x.
    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

    William M. Hammond - University of Florida
    A. Park Williams - University of California Los Angeles (UCLA)
    John T. Abatzoglou - University of California Merced
    Henry D. Adams - Washington State University (WSU)
    Tamir Klein - Weizmann Institute of Science - Isreal
    Rosana López - Universidad Politécnica de Madrid - Spain
    Cuauhtémoc Sáenz-Romero - Universidad Michoacana de San Nicolás de Hidalgo - Mexico
    Henrik Hartmann - Max Planck Institute for Biogeochemistry
    David D. Breshears - University of Arizona
    Craig D. Allen - University of New Mexico
    Journal
    Nature Communications
    Year of Publication
    2022
    Abstract / Summary
    Earth’s forests face grave challenges in the Anthropocene, including hotter droughts increasingly associated with widespread forest die-off events...
    Volume
    13
    Number
    1761
    Date Published
    04/2022
    URL
    https://www.nature.com/articles/s41467-022-29289-2
    DOI
    10.1038/s41467-022-29289-2
    Hammond, William M., A. Park Williams, John T. Abatzoglou, Henry D. Adams, Tamir Klein, Rosana López, Cuauhtémoc Sáenz-Romero, Henrik Hartmann, David D. Breshears, and Craig D. Allen. 2022. “Global Field Observations Of Tree Die-Off Reveal Hotter-Drought Fingerprint For Earth’s Forests”. Nature Communications 13. doi:10.1038/s41467-022-29289-2.
    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.
    Project(s)
    The Role of Vegetation in Past and Future Global Hydroclimatic Change

  • Tracking Carbon Dioxide in the Southern Ocean

    Publication Date
    8 October 2021
    Image(s)
    Lagrangian particle trajectories in a global Earth system model capture the evolution of physical and biogeochemical tracers on three dimensional particle pathways in a highly resolved Southern Ocean. Cover image by Riley Brady | publisher: American Geophysical Union, Wiley Periodicals, LLC
    Funding Program Area(s)
    RGMA
    Summary
    This study introduced and analyzed a novel ocean model simulation of E3SM with active biogeochemistry and fluid-following particles that recorded the...

  • Ice-dominated Arctic deltas

    Publication Date
    15 March 2022
    Funding Program Area(s)
    RGMA
    Summary
    Arctic deltas form the critical interface between the Arctic landscape and the ocean. They filter freshwater, sediment, carbon, and biochemical fluxes...
  • Authors

    Author

    William K. Eymold - Sandia National Laboratories (SNL)
    Christopher Flanary - Integral Consulting Inc.
    Li Erikson - U.S. Geological Survey (USGS)
    Kees Nederhoff - Deltares
    Christopher C. Chartrand - Sandia National Laboratories (SNL)
    Craig Alexander Jones - Integral Consulting Inc.
    Jeremy Kasper - University of Alaska Fairbanks
    Diana L. Bull - Sandia National Laboratories (SNL)
    Journal
    Continental Shelf Research
    Year of Publication
    2022
    Abstract / Summary
    Erosion and flooding impacts to Arctic coastal environments are intensifying with nearshore oceanographic conditions acting as a key environmental...
    Volume
    244
    Pages
    104795
    Date Published
    07/2022
    URL
    https://doi.org/10.1016/j.csr.2022.104795
    DOI
    10.1016/j.csr.2022.104795
    Eymold, William K., Christopher Flanary, Li Erikson, Kees Nederhoff, Christopher C. Chartrand, Craig Alexander Jones, Jeremy Kasper, and Diana L. Bull. 2022. “Typological Representation Of The Offshore Oceanographic Environment Along The Alaskan North Slope”. Continental Shelf Research 244. Elsevier BV: 104795. doi:10.1016/j.csr.2022.104795.
    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

    Bosong Zhang - University of Miami, Princeton University, National Oceanic and Atmospheric Administration (NOAA)
    Brian J. Soden - University of Miami
    Gabriel A. Vecchi - Princeton University
    Wenchang Yang - Princeton University
    Journal
    Journal of Advances in Modeling Earth Systems
    Year of Publication
    2021
    Abstract / Summary
    A ∼50 km resolution atmospheric general circulation model (GCM) is used to investigate the impact of radiative interactions on spatial organization of...
    Volume
    13
    Number
    11
    Date Published
    11/2021
    URL
    https://doi.org/10.1029/2021MS002675
    DOI
    10.1029/2021ms002675
    Zhang, Bosong, Brian J. Soden, Gabriel A. Vecchi, and Wenchang Yang. 2021. “Investigating The Causes And Impacts Of Convective Aggregation In A High Resolution Atmospheric Gcm”. Journal Of Advances In Modeling Earth Systems 13 (11). American Geophysical Union (AGU). doi:10.1029/2021ms002675.
    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.
  • Authors

    Author

    William R. Boos - Lawrence Berkeley National Laboratory (LBNL), University of California Berkeley (UC Berkeley)
    Quentin Nicolas - University of California Berkeley (UC Berkeley)
    Journal
    Journal of the Atmospheric Sciences
    Year of Publication
    2022
    Abstract / Summary
    Spatial patterns of tropical rainfall are strongly influenced by mountains. Although theories for precipitation induced by convectively stable upslope...
    Volume
    79
    Number
    7
    Pages
    1761-1779
    Date Published
    07/2022
    URL
    https://journals.ametsoc.org/view/journals/atsc/79/7/JAS-D-21-0218.1.xml
    DOI
    10.1175/JAS-D-21-0218.1
    Boos, William R., and Quentin Nicolas. 2022. “A Theory For The Response Of Tropical Moist Convection To Mechanical Orographic Forcing”. Journal Of The Atmospheric Sciences 79: 1761-1779. doi:10.1175/JAS-D-21-0218.1.
    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)
    Monsoon Extremes: Impacts, Metrics, and Synoptic-Scale Drivers
  • Authors

    Author

    C. S. Juang - Columbia University
    A. P. Williams - University of California Los Angeles (UCLA)
    J. T. Abatzoglou - University of California Merced
    J. K. Balch - University of Colorado - Boulder
    M. D. Hurteau - University of New Mexico
    M. A. Moritz - University of California Santa Barbara (UC Santa Barbara)
    Journal
    Geophysical Research Letters
    Year of Publication
    2022
    Abstract / Summary
    Annual forest area burned (AFAB) in the western United States (US) has increased as a positive exponential function of rising aridity in recent...
    Volume
    49
    Number
    5
    Date Published
    02/2022
    URL
    https://doi.org/10.1029/2021GL097131
    DOI
    10.1029/2021GL097131
    Juang, C. S., A. P. Williams, J. T. Abatzoglou, J. K. Balch, M. D. Hurteau, and M. A. Moritz. 2022. “Rapid Growth Of Large Forest Fires Drives The Exponential Response Of Annual Forest-Fire Area To Aridity In The Western United States”. Geophysical Research Letters 49. doi:10.1029/2021GL097131.
    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.
    Project(s)
    The Role of Vegetation in Past and Future Global Hydroclimatic Change
  • Authors

    Author

    A. P. Williams - University of California Los Angeles (UCLA)
    B. I. Cook - NASA Goddard Institute for Space Studies
    J. E. Smerdon - Columbia University
    Journal
    Nature Climate Change
    Year of Publication
    2022
    Abstract / Summary
    A previous reconstruction back to 800 CE indicated that the 2000–2018 soil moisture deficit in southwestern North America was exceeded during one...
    Volume
    12
    Pages
    232-234
    Date Published
    02/2022
    URL
    https://www.nature.com/articles/s41558-022-01290-z
    DOI
    10.1038/s41558-022-01290-z
    Williams, A. P., B. I. Cook, and J. E. Smerdon. 2022. “Rapid Intensification Of The Emerging Southwestern North American Megadrought In 2020–2021”. Nature Climate Change 12: 232-234. doi:10.1038/s41558-022-01290-z.
    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.
    Project(s)
    The Role of Vegetation in Past and Future Global Hydroclimatic Change
  • Authors

    Author

    Yun Qian - Pacific Northwest National Laboratory (PNNL)
    T. C. Chakraborty - Pacific Northwest National Laboratory (PNNL)
    Jianfeng Li - Pacific Northwest National Laboratory (PNNL)
    Dan Li - Boston University
    Cenlin He - National Center for Atmospheric Research (NCAR)
    Chandan Sarangi - Indian Institute of Technology
    Fei Chen - National Center for Atmospheric Research (NCAR)
    Xuchao Yang - Zhejiang University
    L. Ruby Leung - Pacific Northwest National Laboratory (PNNL)
    Journal
    Advances in Atmospheric Sciences
    Year of Publication
    2022
    Abstract / Summary
    Urban environments lie at the confluence of social, cultural, and economic activities and have unique biophysical characteristics due to continued...
    Volume
    39
    Pages
    819-860
    Date Published
    01/2022
    URL
    https://doi.org/10.1007/s00376-021-1371-9
    DOI
    10.1007/s00376-021-1371-9
    Qian, Yun, T. C. Chakraborty, Jianfeng Li, Dan Li, Cenlin He, Chandan Sarangi, Fei Chen, Xuchao Yang, and L. Ruby Leung. 2022. “Urbanization Impact On Regional Climate And Extreme Weather: Current Understanding, Uncertainties, And Future Research Directions”. Advances In Atmospheric Sciences 39 (6). Springer Science and Business Media LLC: 819-860. doi:10.1007/s00376-021-1371-9.
    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.
    Project(s)
    Integrated Coastal Modeling (ICoM)
    A Framework for Improving Analysis and Modeling of Earth System and Intersectoral Dynamics at Regional Scales (HyperFACETS)
  • Authors

    Author

    Daehyun Kim - University of Washington
    Daehyun Kang - Chonnam National University - South Korea
    Min‐Seop Ahn - Lawrence Livermore National Laboratory (LLNL)
    Charlotte DeMott - Colorado State University
    Chia‐Wei Hsu - Colorado State University
    Changhyun Yoo - Ewha Womans University
    L. Ruby Leung - Pacific Northwest National Laboratory (PNNL)
    Samson Hagos - Pacific Northwest National Laboratory (PNNL)
    Philip J. Rasch - Pacific Northwest National Laboratory (PNNL)
    Journal
    Journal of Advances in Modeling Earth Systems
    Year of Publication
    2022
    Abstract / Summary
    The present study examines the characteristics of the Madden–Julian Oscillation (MJO) events represented in the Energy Exascale Earth System Model...
    Volume
    14
    Number
    2
    Date Published
    01/2022
    URL
    https://doi.org/10.1029/2021MS002842
    DOI
    10.1029/2021ms002842
    Kim, Daehyun, Daehyun Kang, Min‐Seop Ahn, Charlotte Demott, Chia‐Wei Hsu, Changhyun Yoo, L. Ruby Leung, Samson Hagos, and Philip J. Rasch. 2022. “The Madden–Julian Oscillation In The Energy Exascale Earth System Model Version 1”. Journal Of Advances In Modeling Earth Systems 14 (2). American Geophysical Union (AGU). doi:10.1029/2021ms002842.
    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.
    Additional Resources:
    NERSC (National Energy Research Scientific Computing Center)
    Project(s)
    Madden-Julian Oscillation, Tropical Cyclones, and Precipitation Extremes in E3SM
  • Authors

    Author

    Yang Yang - Nanjing University of Information Science and Technology
    Lili Ren - Nanjing University of Information Science and Technology
    Mingxuan Wu - Pacific Northwest National Laboratory (PNNL)
    Hailong Wang - Pacific Northwest National Laboratory (PNNL)
    Fengfei Song - Pacific Northwest National Laboratory (PNNL)
    L. Ruby Leung - Pacific Northwest National Laboratory (PNNL)
    Xin Hao - Nanjing University of Information Science and Technology
    Jiandong Li - Nanjing University of Information Science and Technology
    Lei Chen - Nanjing University of Information Science and Technology
    Huimin Li - Nanjing University of Information Science and Technology
    Liangying Zeng - Nanjing University of Information Science and Technology
    Yang Zhou - Nanjing University of Information Science and Technology
    Pinya Wang - Nanjing University of Information Science and Technology
    Hong Liao - Nanjing University of Information Science and Technology
    Jing Wang - Tianjin Institute of Meteorological Science - China
    Zhen-Qiang Zhou - Fudan University
    Journal
    Nature Communications
    Year of Publication
    2022
    Abstract / Summary
    Record rainfall and severe flooding struck eastern China in the summer of 2020. The extreme summer rainfall occurred during the COVID-19 pandemic...
    Volume
    13
    Number
    959
    Date Published
    02/2022
    URL
    https://www.nature.com/articles/s41467-022-28537-9
    DOI
    10.1038/s41467-022-28537-9
    Yang, Yang, Lili Ren, Mingxuan Wu, Hailong Wang, Fengfei Song, L. Ruby Leung, Xin Hao, et al. 2022. “Abrupt Emissions Reductions During Covid-19 Contributed To Record Summer Rainfall In China”. Nature Communications 13 (1). Springer Science and Business Media LLC. doi:10.1038/s41467-022-28537-9.
    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.
    Additional Resources:
    NERSC (National Energy Research Scientific Computing Center)
    Project(s)
    Energy Exascale Earth System Model (E3SM)
  • Authors

    Author

    Po-Lun Ma - Pacific Northwest National Laboratory (PNNL)
    Bryce E. Harrop - Pacific Northwest National Laboratory (PNNL)
    Vincent E. Larson - University of Wisconsin Milwaukee, Pacific Northwest National Laboratory (PNNL)
    Richard B. Neale - National Center for Atmospheric Research (NCAR)
    Andrew Gettelman - National Center for Atmospheric Research (NCAR)
    Hugh Morrison - National Center for Atmospheric Research (NCAR)
    Hailong Wang - Pacific Northwest National Laboratory (PNNL)
    Kai Zhang - Pacific Northwest National Laboratory (PNNL)
    Stephen A. Klein - Lawrence Livermore National Laboratory (LLNL)
    Mark D. Zelinka - Lawrence Livermore National Laboratory (LLNL)
    Yuying Zhang - Lawrence Livermore National Laboratory (LLNL)
    Yun Qian - Pacific Northwest National Laboratory (PNNL)
    Jin-Ho Yoon - Gwangju Institute of Science and Technology
    Christopher R. Jones - Pacific Northwest National Laboratory (PNNL)
    Meng Huang - Pacific Northwest National Laboratory (PNNL)
    Sheng-Lun Tai - Pacific Northwest National Laboratory (PNNL)
    Balwinder Singh - Pacific Northwest National Laboratory (PNNL)
    Peter A. Bogenschutz - Lawrence Livermore National Laboratory (LLNL)
    Xue Zheng - Lawrence Livermore National Laboratory (LLNL)
    Wuyin Lin - Brookhaven National Laboratory
    Johannes Quaas - Universität Leipzig - Germany
    Helene Chepfer - Sorbonne Université - France
    Michael A. Brunke - University of Arizona
    Xubin Zeng - University of Arizona
    Johannes Mulmenstadt - Pacific Northwest National Laboratory (PNNL)
    Samson Hagos - Pacific Northwest National Laboratory (PNNL)
    Zhibo Zhang - University of Maryland Baltimore County (UMBC)
    Hua Song - Science Systems and Applications Inc
    Xiaohong Liu - Texas A&M University
    Michael S. Pritchard - University of California Irvine (UC Irvine)
    Hui Wan - Pacific Northwest National Laboratory (PNNL)
    Jingyu Wang - Nanyang Technological University - Singapore
    Qi Tang - Lawrence Livermore National Laboratory (LLNL)
    Peter M. Caldwell - Lawrence Livermore National Laboratory (LLNL)
    Jiwen Fan - Pacific Northwest National Laboratory (PNNL)
    Larry K. Berg - Pacific Northwest National Laboratory (PNNL)
    Jerome D. Fast - Pacific Northwest National Laboratory (PNNL)
    Mark A. Taylor - Sandia National Laboratories (SNL)
    Jean-Christophe Golaz - Lawrence Livermore National Laboratory (LLNL)
    Shaocheng Xie - Lawrence Livermore National Laboratory (LLNL)
    Philip J. Rasch - Pacific Northwest National Laboratory (PNNL)
    L. Ruby Leung - Pacific Northwest National Laboratory (PNNL)
    Journal
    Geoscientific Model Development
    Year of Publication
    2022
    Abstract / Summary
    Realistic simulation of the Earth's mean-state climate remains a major challenge, and yet it is crucial for predicting the climate system in...
    Volume
    15
    Number
    7
    Pages
    2881-2916
    Date Published
    04/2022
    URL
    https://doi.org/10.5194/gmd-15-2881-2022
    DOI
    10.5194/gmd-15-2881-2022
    Ma, Po-Lun, Bryce E. Harrop, Vincent E. Larson, Richard B. Neale, Andrew Gettelman, Hugh Morrison, Hailong Wang, et al. 2022. “Better Calibration Of Cloud Parameterizations And Subgrid Effects Increases The Fidelity Of The E3Sm Atmosphere Model Version 1”. Geoscientific Model Development 15 (7). Copernicus GmbH: 2881-2916. doi:10.5194/gmd-15-2881-2022.
    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.
    Project(s)
    Enabling Aerosol-cloud interactions at GLobal convection-permitting scalES (EAGLES)
    Energy Exascale Earth System Model (E3SM)
  • Authors

    Author

    Bryce E. Harrop - Pacific Northwest National Laboratory (PNNL)
    Michael S. Pritchard - University of California Irvine (UC Irvine)
    Hossein Parishani - University of California Irvine (UC Irvine)
    Andrew Gettelman - National Center for Atmospheric Research (NCAR)
    Samson Hagos - Pacific Northwest National Laboratory (PNNL)
    Peter H. Lauritzen - National Center for Atmospheric Research (NCAR)
    L. Ruby Leung - Pacific Northwest National Laboratory (PNNL)
    Jian Lu - Pacific Northwest National Laboratory (PNNL)
    Kyle G. Pressel - Pacific Northwest National Laboratory (PNNL)
    Koichi Sakaguchi - Pacific Northwest National Laboratory (PNNL)
    Journal
    Journal of Climate
    Year of Publication
    2022
    Abstract / Summary
    For the Community Atmosphere Model version 6 (CAM6), an adjustment is needed to conserve dry air mass. This adjustment exposes an inconsistency in how...
    Volume
    35
    Number
    9
    Pages
    2895-2917
    Date Published
    05/2022
    URL
    https://doi.org/10.1175/JCLI-D-21-0512.1
    DOI
    10.1175/jcli-d-21-0512.1
    Harrop, Bryce E., Michael S. Pritchard, Hossein Parishani, Andrew Gettelman, Samson Hagos, Peter H. Lauritzen, L. Ruby Leung, Jian Lu, Kyle G. Pressel, and Koichi Sakaguchi. 2022. “Conservation Of Dry Air, Water, And Energy In Cam And Its Potential Impact On Tropical Rainfall”. Journal Of Climate 35 (9). American Meteorological Society: 2895-2917. doi:10.1175/jcli-d-21-0512.1.
    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)
    Water Cycle and Climate Extremes Modeling

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