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.
Development and technical paper
| 
01 Jun 2018
Development and technical paper |
| 01 Jun 2018
| 01 Jun 2018
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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- Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: Using Mathematical Rigor to Avoid Nonphysical Behavior in a Parameterization C. Vogl et al. 10.1029/2019MS001974
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29 citations as recorded by crossref.
- Impact of a New Cloud Microphysics Parameterization on the Simulations of Mesoscale Convective Systems in E3SM J. Wang et al. 10.1029/2021MS002628
- Performance and Accuracy Implications of Parallel Split Physics‐Dynamics Coupling in the Energy Exascale Earth System Atmosphere Model A. Donahue & P. Caldwell 10.1029/2020MS002080
- Three‐Moment Representation of Rain in a Bulk Microphysics Model M. Paukert et al. 10.1029/2018MS001512
- Toward Understanding the Simulated Phase Partitioning of Arctic Single‐Layer Mixed‐Phase Clouds in E3SM M. Zhang et al. 10.1029/2020EA001125
- The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution J. Golaz et al. 10.1029/2018MS001603
- Physics–Dynamics Coupling with Element-Based High-Order Galerkin Methods: Quasi-Equal-Area Physics Grid A. Herrington et al. 10.1175/MWR-D-18-0136.1
- A Numerical Analysis of Six Physics‐Dynamics Coupling Schemes for Atmospheric Models S. Ubbiali et al. 10.1029/2020MS002377
- Quantifying and attributing time step sensitivities in present-day climate simulations conducted with EAMv1 H. Wan et al. 10.5194/gmd-14-1921-2021
- The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation J. Golaz et al. 10.1029/2022MS003156
- Investigation of the effect of the time step on the physics–dynamics interaction in CAM5 using an idealized tropical cyclone experiment X. Li et al. 10.1007/s00382-020-05284-5
- Numerical coupling of aerosol emissions, dry removal, and turbulent mixing in the E3SM Atmosphere Model version 1 (EAMv1) – Part 1: Dust budget analyses and the impacts of a revised coupling scheme H. Wan et al. 10.5194/gmd-17-1387-2024
- Improving Time Step Convergence in an Atmosphere Model With Simplified Physics: Using Mathematical Rigor to Avoid Nonphysical Behavior in a Parameterization C. Vogl et al. 10.1029/2019MS001974
- Using radar observations to evaluate 3-D radar echo structure simulated by the Energy Exascale Earth System Model (E3SM) version 1 J. Wang et al. 10.5194/gmd-14-719-2021
- 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
- NHM-Chem, the Japan Meteorological Agency's Regional Meteorology – Chemistry Model: Model Evaluations toward the Consistent Predictions of the Chemical, Physical, and Optical Properties of Aerosols M. KAJINO et al. 10.2151/jmsj.2019-020
- The fully coupled regionally refined model of E3SM version 2: overview of the atmosphere, land, and river results Q. Tang et al. 10.5194/gmd-16-3953-2023
- 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
- Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling Q. Tang et al. 10.5194/gmd-12-2679-2019
Latest update: 21 Feb 2025
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...
