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About Us At ESPS

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Earth System Prediction Suite

What Do We Do?

The Earth System Prediction Suite (ESPS) is a collection of interoperable codes used for forecasts and projections, with timescales ranging from hours to decades. They represent an agreement among modeling centers to use metadata standards and a compatible component interface. ESPS is being developed under the Earth System Prediction Capability (ESPC) program. The process of making models NUOPC-compliant is a broader activity with sponsors that include NASA, NOAA, and the Department of Defense.

Have Any Questions?

If you have any questions about who we are or what we do please, don't hesitate to contact us at: esmf_support@lists.woc.noaa.gov

Resources / References

MCL Survey

MCL Survey
Survey based on DRAFT ESPS guidelines.

Building a Distributed Earth System Model Community

Building a Distributed Earth System Model Community
Presentation given to the Content Standards Committee (CSC) of the ESPC, May 18, 2017, and at the initiation of the MCL committee on October 16, 2017.

Model Component Liaison Committee Terms of Reference

DRAFT ESPS Guidelines

DRAFT ESPS Guidelines
DRAFT Guidelines for repositories, testing, and metadata for components within the ESPS.

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

The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability
Theurich et al., 2015: Bull. Atmos. Meteor. Soc., July 2016. Paper describing the ESMF and NUOPC software architecture, and how it is used by U.S. centers.

OAR HEADQUARTERS

301-713-2458

1315 East-West Highway
     Silver Spring, MD 20910

national.espc@noaa.gov

About Us

The Earth System Prediction Capability (ESPC) was formed in 2010, with an updated Charter in 2016, between the original NUOPC partners with the addition of the National Aeronautics and Space Administration (NASA), Department of Energy (DOE), and National Science Foundation (NSF) to improve coordination and collaboration across federally sponsored environmental research and operational prediction communities for scientific development and operational implementation of improved global prediction at the weather-to-climate interface.

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