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Title: The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability

Abstract

The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open-source terms or to credentialed users. Furthermore, the ESPS represents a culmination of efforts to create a common Earth system model architecture, and the advent of increasingly coordinated model development activities in the United States. ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), community-developed software for building and coupling models, and the National Unified Operational Prediction Capability (NUOPC) Layer, a set of ESMF-based component templates and interoperability conventions. Our shared infrastructure simplifies the process of model coupling by guaranteeing that components conform to a set of technical and semantic behaviors. The ESPS encourages distributed, multiagency development of coupled modeling systems; controlled experimentation and testing; and exploration of novel model configurations, such as those motivated by research involving managed and interactive ensembles. ESPS codes include the Navy Global Environmental Model (NAVGEM), the Hybrid Coordinate Ocean Model (HYCOM), and the Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS); the NOAA Environmental Modeling System (NEMS) and the Modular Ocean Model (MOM); the Communitymore » Earth System Model (CESM); and the NASA ModelE climate model and the Goddard Earth Observing System Model, version 5 (GEOS-5), atmospheric general circulation model.« less

Authors:
 [1];  [2];  [3];  [4];  [4];  [5];  [1];  [6];  [7];  [7];  [3];  [8];  [9];  [10];  [10];  [11];  [11];  [10];  [10];  [12] more »; ;  [13];  [14];  [15];  [16];  [17];  [18];  [2] « less
  1. Science Applications International Corporation, McLean, VA (United States)
  2. National Oceanic and Atmospheric Administration (NOAA), ESRL and CIRES, Boulder, CO (United States)
  3. Naval Research Lab. (NRL), Stennis Space Center, MS (United States)
  4. Cherokee Services Group, Fort Collins, CO (United States)
  5. National Center for Atmospheric Research, Boulder, CO (United States)
  6. National Oceanic and Atmospheric Administration (NOAA)/ESRL and CIRES, Boulder, CO (United States)
  7. Naval Research Lab., Monterey, CA (United States)
  8. National Oceanic and Atmospheric Administration (NOAA)/NWS/NCEP and Modeling Center, College Park, MD (United States)
  9. National Oceanic and Atmospheric Administration (NOAA), NWS, NCEP and Modeling Center, College Park, MD (United States)
  10. NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
  11. NASA Jet Propulsion Lab., Pasadena, CA (United States)
  12. Princeton Univ., NJ (United States). Geophysical Fluid Dynamics Lab.
  13. Argonne National Lab. (ANL), Lemont, IL (United States)
  14. Univ. of Miami, FL (United States)
  15. Naval Postgraduate School, Monterey, CA (United States)
  16. Naval Meteorology and Oceanography Command, Silver Spring, MD (United States)
  17. Univ. of Washington, Seattle, WA (United States). Applied Physics Lab.
  18. Univ. of Colorado, Boulder, CO (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1361021
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Accepted Manuscript
Journal Name:
Bulletin of the American Meteorological Society
Additional Journal Information:
Journal Volume: 97; Journal Issue: 7; Journal ID: ISSN 0003-0007
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES

Citation Formats

Theurich, Gerhard, DeLuca, C., Campbell, T., Liu, F., Saint, K., Vertenstein, M., Chen, J., Oehmke, R., Doyle, J., Whitcomb, T., Wallcraft, A., Iredell, M., Black, T., Da Silva, A. M., Clune, T., Ferraro, R., Li, P., Kelley, M., Aleinov, I., Balaji, V., Zadeh, N., Jacob, R., Kirtman, B., Giraldo, F., McCarren, D., Sandgathe, S., Peckham, S., and Dunlap, R.. The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability. United States: N. p., 2016. Web. https://doi.org/10.1175/BAMS-D-14-00164.1.
Theurich, Gerhard, DeLuca, C., Campbell, T., Liu, F., Saint, K., Vertenstein, M., Chen, J., Oehmke, R., Doyle, J., Whitcomb, T., Wallcraft, A., Iredell, M., Black, T., Da Silva, A. M., Clune, T., Ferraro, R., Li, P., Kelley, M., Aleinov, I., Balaji, V., Zadeh, N., Jacob, R., Kirtman, B., Giraldo, F., McCarren, D., Sandgathe, S., Peckham, S., & Dunlap, R.. The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability. United States. https://doi.org/10.1175/BAMS-D-14-00164.1
Theurich, Gerhard, DeLuca, C., Campbell, T., Liu, F., Saint, K., Vertenstein, M., Chen, J., Oehmke, R., Doyle, J., Whitcomb, T., Wallcraft, A., Iredell, M., Black, T., Da Silva, A. M., Clune, T., Ferraro, R., Li, P., Kelley, M., Aleinov, I., Balaji, V., Zadeh, N., Jacob, R., Kirtman, B., Giraldo, F., McCarren, D., Sandgathe, S., Peckham, S., and Dunlap, R.. Mon . "The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability". United States. https://doi.org/10.1175/BAMS-D-14-00164.1. https://www.osti.gov/servlets/purl/1361021.
@article{osti_1361021,
title = {The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability},
author = {Theurich, Gerhard and DeLuca, C. and Campbell, T. and Liu, F. and Saint, K. and Vertenstein, M. and Chen, J. and Oehmke, R. and Doyle, J. and Whitcomb, T. and Wallcraft, A. and Iredell, M. and Black, T. and Da Silva, A. M. and Clune, T. and Ferraro, R. and Li, P. and Kelley, M. and Aleinov, I. and Balaji, V. and Zadeh, N. and Jacob, R. and Kirtman, B. and Giraldo, F. and McCarren, D. and Sandgathe, S. and Peckham, S. and Dunlap, R.},
abstractNote = {The Earth System Prediction Suite (ESPS) is a collection of flagship U.S. weather and climate models and model components that are being instrumented to conform to interoperability conventions, documented to follow metadata standards, and made available either under open-source terms or to credentialed users. Furthermore, the ESPS represents a culmination of efforts to create a common Earth system model architecture, and the advent of increasingly coordinated model development activities in the United States. ESPS component interfaces are based on the Earth System Modeling Framework (ESMF), community-developed software for building and coupling models, and the National Unified Operational Prediction Capability (NUOPC) Layer, a set of ESMF-based component templates and interoperability conventions. Our shared infrastructure simplifies the process of model coupling by guaranteeing that components conform to a set of technical and semantic behaviors. The ESPS encourages distributed, multiagency development of coupled modeling systems; controlled experimentation and testing; and exploration of novel model configurations, such as those motivated by research involving managed and interactive ensembles. ESPS codes include the Navy Global Environmental Model (NAVGEM), the Hybrid Coordinate Ocean Model (HYCOM), and the Coupled Ocean–Atmosphere Mesoscale Prediction System (COAMPS); the NOAA Environmental Modeling System (NEMS) and the Modular Ocean Model (MOM); the Community Earth System Model (CESM); and the NASA ModelE climate model and the Goddard Earth Observing System Model, version 5 (GEOS-5), atmospheric general circulation model.},
doi = {10.1175/BAMS-D-14-00164.1},
journal = {Bulletin of the American Meteorological Society},
number = 7,
volume = 97,
place = {United States},
year = {2016},
month = {8}
}

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