James Foucar

ORCID: 0000-0003-2036-8032
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About
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Research Areas
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Climate variability and models
  • Geophysics and Gravity Measurements
  • Atmospheric aerosols and clouds
  • Conflict of Laws and Jurisdiction
  • Climate Change Policy and Economics
  • Solar Radiation and Photovoltaics
  • European and International Contract Law
  • Atmospheric Ozone and Climate
  • Corporate Governance and Law
  • Water resources management and optimization
  • Electric Power System Optimization
  • Advanced Computational Techniques and Applications
  • Conservation Techniques and Studies
  • Tropical and Extratropical Cyclones Research
  • Environmental Impact and Sustainability
  • Software Testing and Debugging Techniques
  • Scientific Computing and Data Management
  • Model-Driven Software Engineering Techniques
  • Distributed and Parallel Computing Systems
  • Solar and Space Plasma Dynamics
  • Simulation Techniques and Applications
  • earthquake and tectonic studies
  • Neural Networks and Applications

Sandia National Laboratories California
2014-2025

Sandia National Laboratories
2008-2024

Pacific Northwest National Laboratory
2022

National Technical Information Service
2008

Office of Scientific and Technical Information
2008

This work documents the first version of U.S. Department Energy (DOE) new Exascale Earth System Model (E3SMv1). We focus on standard resolution fully coupled physical model designed to address DOE mission-relevant water cycle questions. Its components include atmosphere and land (110-km grid spacing), ocean sea ice (60 km in midlatitudes 30 at equator poles), river transport (55 km) models. base configuration will also serve as a foundation for additional configurations exploring higher...

10.1029/2018ms001603 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2019-03-16

Abstract The Energy Exascale Earth System Model Atmosphere version 1, the atmospheric component of Department Energy's is described. model began as a fork well‐known Community Model, but it has evolved in new ways, and coding, performance, resolution, physical processes (primarily cloud aerosols formulations), testing development procedures now differ significantly. Vertical resolution was increased (from 30 to 72 layers), top extended 60 km (~0.1 hPa). A simple ozone photochemistry predicts...

10.1029/2019ms001629 article EN Journal of Advances in Modeling Earth Systems 2019-07-09

Abstract This work documents version two of the Department Energy's Energy Exascale Earth System Model (E3SM). E3SMv2 is a significant evolution from its predecessor E3SMv1, resulting in model that nearly twice as fast and with simulated climate improved many metrics. We describe physical lower horizontal resolution configuration consisting 110 km atmosphere, 165 land, 0.5° river routing model, an ocean sea ice mesh spacing varying between 60 mid‐latitudes 30 at equator poles. The...

10.1029/2022ms003156 article EN cc-by-nc-nd Journal of Advances in Modeling Earth Systems 2022-10-31

Abstract This paper describes the first implementation of Δ x = 3.25 km version Energy Exascale Earth System Model (E3SM) global atmosphere model and its behavior in a 40‐day prescribed‐sea‐surface‐temperature simulation (January 20 through February 28, 2020). was performed as part DYnamics Atmospheric general circulation Modeled On Non‐hydrostatic Domains (DYAMOND) Phase 2 intercomparison. Effective resolution is found to be horizontal dynamics grid despite using coarser for physical...

10.1029/2021ms002544 article EN Journal of Advances in Modeling Earth Systems 2021-10-29

This work documents version two of the Department Energy's Energy Exascale Earth System Model (E3SM). E3SM 2 (E3SMv2) is a significant evolution from its predecessor E3SMv1, resulting in model that nearly twice as fast and with simulated climate improved many metrics. We describe physical lower horizontal resolution configuration consisting 110 km atmosphere, 165 land, 0.5° river routing model, an ocean sea ice mesh spacing varying between 60 mid-latitudes 30 at equator poles. The...

10.1002/essoar.10511174.1 preprint EN 2022-04-22

This work documents version two of the Department Energy’s Energy Exascale Earth System Model (E3SM). E3SM 2 (E3SMv2) is a significant evolution from its predecessor E3SMv1, resulting in model that nearly twice as fast and with simulated climate improved many metrics. We describe physical lower horizontal resolution configuration consisting 110 km atmosphere, 165 land, 0.5° river routing model, an ocean sea ice mesh spacing varying between 60 mid-latitudes 30 at equator poles. The...

10.1002/essoar.10511174.2 preprint EN 2022-08-05

Abstract The new generation of heterogeneous CPU/GPU computer systems offer much greater computational performance but are not yet widely used for climate modeling. One reason this is that traditional models were written before GPUs available and would require an extensive overhaul to run on these machines. In addition, even conventional “high–resolution” simulations don't currently provide enough parallel work keep busy, so the benefits such be limited types scientists accustomed to. vision...

10.1029/2024ms004314 article EN cc-by Journal of Advances in Modeling Earth Systems 2024-07-01

Abstract. Aerosol effective radiative forcing critically influences climate projections but remains poorly constrained. Using the Energy Exascale Earth System Model (E3SM) Simple Cloud-Resolving E3SM Atmosphere (SCREAM) v1 configuration, we quantify due to anthropogenic aerosol changes using a simplified prescribed scheme (SPA) derived from v3. Nudged simulations at 3 km and 12 horizontal grid spacings reveal more negative than reference 100-km v3 whence SPA properties are derived. The...

10.5194/egusphere-2025-1868 preprint EN cc-by 2025-05-06

Earth and Space Science Open Archive This work has been accepted for publication in Journal of Advances Modeling Systems (JAMES). Version RecordESSOAr is a venue early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing an older version [v1]Go to new versionConvection-Permitting Simulations with the E3SM Global Atmosphere ModelAuthorsPeter MartinCaldwelliDChristopher RyutaroTeraiiDBenjamin RHillmanNoel...

10.1002/essoar.10506530.1 preprint EN 2021-03-26

We present an effort to port the nonhydrostatic atmosphere dynamical core of Energy Exascale Earth System Model (E3SM) efficiently run on a variety architectures, including conventional CPU, many-core and GPU. specifically target cloud-resolving resolutions 3 km 1 km. To express on-node parallelism we use C++ library Kokkos, which allows us achieve performance portable code in largely architecture-independent way. Our implementation is at least as fast original Fortran IBM Power9 Intel...

10.1109/sc41405.2020.00096 article EN 2020-11-01

to GPUs. We present performance data for the original and new implementations on multiple platforms, up 5400 compute nodes, study several aspects of single- multi-node characteristics implementation conventional CPU (e.g., Intel Xeon), many core Xeon Phi Knights Landing),and Nvidia V100 GPU.

10.2172/1830973 article EN 2020-10-01

Earth and Space Science Open Archive This work has been accepted for publication in Journal of Advances Modeling Systems (JAMES). Version RecordESSOAr is a venue early communication or feedback before peer review. Data may be preliminary. Learn more about preprints. preprintOpen AccessYou are viewing the latest version by default [v2]Convection-Permitting Simulations with E3SM Global Atmosphere ModelAuthorsPeter MartinCaldwelliDChristopher RyutaroTeraiiDBenjamin RHillmanNoel D.KeeniDPeter...

10.1002/essoar.10506530.2 preprint EN 2021-10-27

The new generation of heterogeneous CPU/GPU computer systems offer much greater computational performance but are not yet widely used for climate modeling. One reason this is that traditional models were written before GPUs available and would require an extensive overhaul to run on these machines. In addition, even conventional “high–resolution’ simulations don’t provide enough parallel work keep busy, so the benefits such be limited types scientists accustomed to. vision Simple...

10.22541/essoar.171136746.65715825/v1 preprint EN Authorea (Authorea) 2024-03-25
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