Land Atmosphere Interactions

Predicting the impacts of land-surface processes on regional weather, climate, and hydrology

In this relatively new research and application area, our objectives are to understand, through theoretical and observational studies, the complex interactions (including biophysical, hydrological, and biogeochemical interactions) between the land-surface and the atmosphere at micro- and meso-scales.

The ultimate goal is to integrate such knowledge into numerical mesoscale weather prediction and regional climate models in order to improve prediction of the impacts of land-surface processes on regional weather, climate, and hydrology. To achieve these objectives, a number of research and application studies are conducted.


  • China Meteorological Administration (CMA)
  • Climate Forecast System (CFS)
  • Climate Test Bed
  • Institute of Urban Meteorology (IUM)
  • National Centers for Environmental Prediction (NCEP)

  • University of Texas at Austin

Observation Data Sets

Community Models

Representative Projects

  • Improve High-Resolution Forecasts for Cities: Improved high-resolution forecasts for cities with enhanced land-surface, boundary-layer, and radiation physics parameterization.
  • NOAA Climate Forecast System: Improved the Climate Forecast System (CFS) skill by enhancing the representation of soil-hydrology-vegetation interactions using the new community Noah-MP (Multiple-Parameterization) land surface model (LSM)
  • Tibetan Plateau: Built deeper understanding and reduced uncertainties in the community Noah-MP land model simulations over the complex terrain of the Tibetan plateau.


Cenlin He