Articles | Volume 11, issue 5
https://doi.org/10.5194/gmd-11-1971-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-1971-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of numerical choices on water conservation in the E3SM Atmosphere Model version 1 (EAMv1)
Pacific Northwest National Laboratory, Richland, WA, USA
Philip J. Rasch
Pacific Northwest National Laboratory, Richland, WA, USA
Mark A. Taylor
Sandia National Laboratories, Albuquerque, NM, USA
Pacific Northwest National Laboratory, Richland, WA, USA
Ruby Leung
Pacific Northwest National Laboratory, Richland, WA, USA
Po-Lun Ma
Pacific Northwest National Laboratory, Richland, WA, USA
Jean-Christophe Golaz
Lawrence Livermore National Laboratory, Livermore, CA, USA
Jon Wolfe
Los Alamos National Laboratory, Los Alamos, NM, USA
Wuyin Lin
Brookhaven National Laboratory, Upton, NY, USA
Balwinder Singh
Pacific Northwest National Laboratory, Richland, WA, USA
Susannah Burrows
Pacific Northwest National Laboratory, Richland, WA, USA
Jin-Ho Yoon
Pacific Northwest National Laboratory, Richland, WA, USA
now at: Gwangju Institute of Science and Technology, Gwangju, South Korea
Hailong Wang
Pacific Northwest National Laboratory, Richland, WA, USA
Yun Qian
Pacific Northwest National Laboratory, Richland, WA, USA
Lawrence Livermore National Laboratory, Livermore, CA, USA
Peter Caldwell
Lawrence Livermore National Laboratory, Livermore, CA, USA
Shaocheng Xie
Lawrence Livermore National Laboratory, Livermore, CA, USA
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- Reconciling and Improving Formulations for Thermodynamics and Conservation Principles in Earth System Models (ESMs) P. Lauritzen et al. 10.1029/2022MS003117
- An Overview of the Atmospheric Component of the Energy Exascale Earth System Model P. Rasch et al. 10.1029/2019MS001629
- The DOE E3SM v1.1 Biogeochemistry Configuration: Description and Simulated Ecosystem‐Climate Responses to Historical Changes in Forcing S. Burrows et al. 10.1029/2019MS001766
- Further improvement and evaluation of nudging in the E3SM Atmosphere Model version 1 (EAMv1): simulations of the mean climate, weather events, and anthropogenic aerosol effects S. Zhang et al. 10.5194/gmd-15-6787-2022
- E3SMv0‐HiLAT: A Modified Climate System Model Targeted for the Study of High‐Latitude Processes M. Hecht et al. 10.1029/2018MS001524
- CondiDiag1.0: a flexible online diagnostic tool for conditional sampling and budget analysis in the E3SM atmosphere model (EAM) H. Wan et al. 10.5194/gmd-15-3205-2022
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- Long-term variability in immersion-mode marine ice-nucleating particles from climate model simulations and observations A. Raman et al. 10.5194/acp-23-5735-2023
- The GAMIL3: Model Description and Evaluation L. Li et al. 10.1029/2020JD032574
- Effective radiative forcing of anthropogenic aerosols in E3SM version 1: historical changes, causality, decomposition, and parameterization sensitivities K. Zhang et al. 10.5194/acp-22-9129-2022
- Implementation of the Vector Vorticity Dynamical Core on Cubed Sphere for Use in the Quasi‐3‐D Multiscale Modeling Framework J. Jung et al. 10.1029/2018MS001517
- Impact of Nudging Strategy on the Climate Representativeness and Hindcast Skill of Constrained EAMv1 Simulations J. Sun et al. 10.1029/2019MS001831
- A Total Energy Error Analysis of Dynamical Cores and Physics‐Dynamics Coupling in the Community Atmosphere Model (CAM) P. Lauritzen & D. Williamson 10.1029/2018MS001549
- A Multiscale Dynamical Model in a Dry-Mass Coordinate for Weather and Climate Modeling: Moist Dynamics and Its Coupling to Physics Y. Zhang et al. 10.1175/MWR-D-19-0305.1
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Latest update: 20 Nov 2024
Short summary
The conservation of total water is an important numerical feature for global Earth system models. Even small conservation problems in the water budget can lead to systematic errors in century-long simulations for sea level rise projection. This study quantifies and reduces various sources of water conservation error in the atmosphere component of the Energy Exascale Earth System Model.
The conservation of total water is an important numerical feature for global Earth system...