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Predicting Impacts of Land-Surface Processes on Global and Regional Weather

Predicting Impacts of Land-Surface Processes on Global and Regional Weather

Breadcrumb

  1. Home
Challenge

To improve deficiencies identified in treating interactions among vegetation, soil, hydrology, snow, and long-term soil state evolution in Land Models.

Solution

NOAH Multi-Parameterization Land Surface Model - Noah-MP® LSM
NSF NCAR is collaborating on the development of the advanced Noah-MP land surface model (LSM) which uses multiple physics options for key land-hydrology processes. 

Benefits

This technology is an important component of advanced weather and hydrological prediction.

Contact

Please direct questions/comments about this page to:

Cenlin He

email

Related Links

  • Land Atmosphere Interactions
  • Noah-Multiparameterization Land Surface Model (Noah-MP LSM)

Resource Link

  • Noah-MP® GitHub link

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This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.