Publication Abstracts

Theurich et al. 2016

Theurich, G., C. DeLuca, T. Campbell, F. Liu, K. Saint, M. Vertenstein, J. Chen, R. Oehmke, J. Doyle, T. Whitcomb, A. Wallcraft, M. Iredell, T. Black, A.M. da Silva, T. Clune, R. Ferraro, P. Li, M. Kelley, I. Aleinov, V. Balaji, N. Zadeh, R. Jacob, B. Kirtman, F. Giraldo, D. McCarren, S. Sandgathe, S. Peckham, and R. Dunlap, IV, 2016: The Earth System Prediction Suite: Toward a coordinated U.S. modeling capability. Bull. Amer. Meteorol. Soc., 97, no. 7, 1229-1247, doi:10.1175/BAMS-D-14-00164.1.

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.

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 U.S. 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. This 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, multi-agency 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), HYbrid Coordinate Ocean Model (HYCOM), and 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 GEOS-5 atmospheric general circulation model.

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BibTeX Citation

@article{th00200u,
  author={Theurich, G. 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, IV, R.},
  title={The Earth System Prediction Suite: Toward a coordinated U.S. modeling capability},
  year={2016},
  journal={Bull. Amer. Meteorol. Soc.},
  volume={97},
  number={7},
  pages={1229--1247},
  doi={10.1175/BAMS-D-14-00164.1},
}

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RIS Citation

TY  - JOUR
ID  - th00200u
AU  - Theurich, G.
AU  - DeLuca, C.
AU  - Campbell, T.
AU  - Liu, F.
AU  - Saint, K.
AU  - Vertenstein, M.
AU  - Chen, J.
AU  - Oehmke, R.
AU  - Doyle, J.
AU  - Whitcomb, T.
AU  - Wallcraft, A.
AU  - Iredell, M.
AU  - Black, T.
AU  - da Silva, A. M.
AU  - Clune, T.
AU  - Ferraro, R.
AU  - Li, P.
AU  - Kelley, M.
AU  - Aleinov, I.
AU  - Balaji, V.
AU  - Zadeh, N.
AU  - Jacob, R.
AU  - Kirtman, B.
AU  - Giraldo, F.
AU  - McCarren, D.
AU  - Sandgathe, S.
AU  - Peckham, S.
AU  - Dunlap, R., IV
PY  - 2016
TI  - The Earth System Prediction Suite: Toward a coordinated U.S. modeling capability
JA  - Bull. Amer. Meteorol. Soc.
VL  - 97
IS  - 7
SP  - 1229
EP  - 1247
DO  - 10.1175/BAMS-D-14-00164.1
ER  -

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