Results 11 to 20 of about 1,566 (197)

Coupled Climate Simulations With E3SM‐MMF

Journal of Advances in Modeling Earth Systems
Simulations of the recent historical period from 1950 to 2014 are conducted with E3SM‐MMF, which uses an embedded 2D cloud resolving model that runs efficiently on GPUs in place of traditional parameterizations for cloud and turbulence.
W. M. Hannah, S. Mahajan, B. E. Harrop, N. Liu, L. Peng, M. S. Pritchard, B. R. Hillman, D. C. Bader, M. A. Taylor   +8 more
doaj   +2 more sources

The Southern Annular Mode and Southern Ocean Surface Westerly Winds in E3SM

Earth and Space Science, 2019
Climate variability and change in the Southern Hemisphere (SH) are influenced by the Southern Annular Mode (SAM) and are closely related to changes in the kinematic properties of the SH surface zonal winds.
Doo Young Lee, Mark R Petersen, Wuyin Lin   +2 more
exaly   +2 more sources

Context-aware implicit neural representations to compress Earth systems model data [PDF]

Scientific Reports
Multiphysics, multiscale climate models, such as the Energy Exascale Earth System Model (E3SM) generate massive volumes of data over extended time periods to support long-term climate analysis. Data compression methods, both lossy and lossless, have been
Farinaz Mostajeran, Nikhil M. Pawar, Jonathan M. Villarreal, Salah A. Faroughi   +3 more
doaj   +2 more sources

An Evaluation of the Ocean and Sea Ice Climate of E3SM Using MPAS and Interannual CORE‐II Forcing

Journal of Advances in Modeling Earth Systems, 2019
The Energy Exascale Earth System Model (E3SM) is a new coupled Earth system model sponsored by the U.S Department of Energy. Here we present E3SM global simulations using active ocean and sea ice that are driven by the Coordinated Ocean‐ice Reference ...
Mark R Petersen, Xylar S Asay-Davis, Anne Berres   +2 more
exaly   +2 more sources

The DOE E3SM v1.1 Biogeochemistry Configuration: Description and Simulated Ecosystem‐Climate Responses to Historical Changes in Forcing

Journal of Advances in Modeling Earth Systems, 2020
This paper documents the biogeochemistry configuration of the Energy Exascale Earth System Model (E3SM), E3SMv1.1‐BGC. The model simulates historical carbon cycle dynamics, including carbon losses predicted in response to land use and land cover change ...
Forrest Hoffman, Susannah Burrows, Daniel M Ricciuto   +2 more
exaly   +2 more sources

Global Irrigation Characteristics and Effects Simulated by Fully Coupled Land Surface, River, and Water Management Models in E3SM

Journal of Advances in Modeling Earth Systems, 2020
Irrigation supports agricultural production, but widespread use of irrigation can perturb the regional and global water cycle. The one‐way coupled irrigation scheme used in some land surface models and Earth system models assumes that surface water ...
Tian Zhou, L Ruby Leung, Guoyong Leng
exaly   +2 more sources

Calibration of the E3SM Land Model Using Surrogate‐Based Global Optimization

Journal of Advances in Modeling Earth Systems, 2018
AbstractCalibration of the Energy Exascale Earth System Model (E3SM), land model (ELMv0) is challenging because of its model complexity, strong model nonlinearity, and significant computational requirements. Therefore, only a limited number of simulations can be allowed in any attempt to find a near‐optimal solution within an affordable time.
Dan Lu, Daniel M Ricciuto, Miroslav Stoyanov   +2 more
exaly   +3 more sources

Simulation of Compound Flooding Using River‐Ocean Two‐Way Coupled E3SM Ensemble on Variable‐Resolution Meshes

Journal of Advances in Modeling Earth Systems
Coastal zone compound flooding (CF) can be caused by the interactive fluvial and oceanic processes, particularly when coastal backwater propagates upstream and interacts with high river discharge.
Dongyu Feng, Zeli Tan, Darren Engwirda
exaly   +2 more sources

An evaluation of the E3SMv1 Arctic ocean and sea-ice regionally refined model [PDF]

Geoscientific Model Development, 2022
The Energy Exascale Earth System Model (E3SM) is a state-of-the-science Earth system model (ESM) with the ability to focus horizontal resolution of its multiple components in specific areas.
M. Veneziani, W. Maslowski, Y. J. Lee, G. D'Angelo, R. Osinski, M. R. Petersen, W. Weijer, A. P. Craig, J. D. Wolfe, D. Comeau, A. K. Turner   +10 more
doaj   +1 more source

Earth System Model Aerosol–Cloud Diagnostics (ESMAC Diags) package, version 1: assessing E3SM aerosol predictions using aircraft, ship, and surface measurements [PDF]

Geoscientific Model Development, 2022
An Earth system model (ESM) aerosol–cloud diagnostics package is developed to facilitate the routine evaluation of aerosols, clouds, and aerosol–cloud interactions simulated by the Energy Exascale Earth System Model (E3SM) from the US Department of ...
S. Tang, J. D. Fast, K. Zhang, J. C. Hardin, A. C. Varble, J. E. Shilling, F. Mei, M. A. Zawadowicz, P.-L. Ma   +8 more
doaj   +1 more source