AMS 2024 Short Course: Noah-MP Land Surface Model Tutorial

Model Physics, Code Structures, and Simulation Exercises

A lake in the shape of the world's continents in the middle of untouched nature. A metaphor for ecological travel, conservation, climate change, global warming and the fragility of nature.
tutorial
Jan. 27, 2024

11:30 am – 3:30 pm MST

Baltimore Convention Center and Hybrid
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Noah-MP Land Surface Model Tutorial:
Model Physics, Code Structures, and Simulation Exercises

January 27, 2024 | 1:30 - 5:30 PM (EST)

Baltimore Convention Center (Hybrid)

The community open-source Noah-MP land surface model (LSM) is one of the most widely used and cited LSMs in the world. It has been used in a wide range of applications ranging from numerical weather prediction to decadal global/regional climate simulations to hydrological modeling. Noah-MP has been used in the Weather Research and Forecasting model (WRF), the NOAA operational National Water Model (NWM), the NASA Land Information System (LIS), the NOAA Unified Forecast System (UFS), and other operational weather prediction models outside US. This short course, being offered in conjunction with the 38th Conference on Hydrology, will offer lectures and hands-on exercises for model users and developers, particularly allowing people to get familiar with the latest modernized Noah-MP version in terms of model physics, code structures, and simulation set-up.

Noah-MP® logo

Noah-MP® Open-Source Community Land Surface Model. The 4 colors represents: Soil, Water, Vegetation, and Energy. The 4 big circle "C"s represent: Community, Collaborative, Comprehensive, Cutting-edge
 

Participants will gain:

  • Knowledge of model physics in the latest Noah-MP.
  • Understanding of model code of the latest Noah-MP.
  • Knowledge of how to run Noah-MP model and associated applications.

View Agenda

Please register through the AMS Website

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Instructors

Cenlin He

NSF National Center for Atmospheric Research

Zhe Zang

NSF National Center for Atmospheric Research

Ufuk Turuncoglu

NSF National Center for Atmospheric Research

Ronnie Abolafia-Rosenzweig

NSF National Center for Atmospheric Research

Tzu-Shun Lin

NSF National Center for Atmospheric Research

Contact

Please direct questions/comments about this page to:

Cenlin He