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CMDV-RRM: Representation of Clouds and Convection across scales in E3SM

Technical Report ·
DOI:https://doi.org/10.2172/1557030· OSTI ID:1557030
 [1];  [1];  [1];  [2];  [2];  [2];  [2];  [3];  [3];  [4];  [4];  [4];  [4];  [5]
  1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
  2. Brookhaven National Laboratory (BNL), Upton, NY (United States)
  3. Argonne National Laboratory (ANL), Argonne, IL (United States)
  4. Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
  5. Stony Brook Univ., NY (United States)

In order to address mission-relevant questions, DOE’s Energy Exascale Earth System Model (E3SM) is pushing the limits of horizontal resolution among global Earth System Models (ESMs). The atmospheric resolution in the recently released E3SMv1 is 110 km in the standard configuration, and 25 km in the high-resolution configuration. Furthermore, E3SM is fairly unique among global ESMs with a capability for multiresolution modeling using refined grids in most of its components (atmosphere, land, ocean, sea-ice). This Regionally Refined Model (RRM) capability is critical for future E3SM simulation campaigns that have a strong regional focus to meet DOE's needs in support of energy-sector decisions. RRM grids are also particularly well suited for model evaluation and process-level studies taking advantage of the vast amount of ASR site data collected over the past several decades. The overarching goal of this project was to understand and improve the behavior of clouds and convection in E3SM across these scales using RRM. Key deliverables that resulted from the project are summarized below, with more details provided in the subsequent sections of the report.

Research Organization:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC52-07NA27344
OSTI ID:
1557030
Report Number(s):
LLNL--TR-783346; 978959
Country of Publication:
United States
Language:
English

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