Climate modeling

My research interest lies primarily in developing a better understanding of the physical processes associated with Earth’s climate through numerical models. In particular, the interaction processes between the land surface and the atmosphere; and the comprehensive representation of land surface properties in regional modeling have been the main aspects of my research.

Vegetation biophysical processes regulate heat, moisture, carbon and momentum exchanges between the land surface and the lower troposphere, which in turn modulate weather patterns and the climate. On the other hand, accurate representation of surface characteristics such as topography and land cover distribution, provided by regional climate modeling systems, is essential to obtaining realistic seasonal and long-term climate simulations and predictions.

In my research, I  examine different aspects of dynamic downscaling with regional models and land surface information on seasonal climate simulations, including the impact of spatial resolution of topography and land cover distribution on simulation skills, the role of vegetation biophysical processes on monsoon systems, and the impact of burned areas on the regional climate.   

Recent Articles

  • De Sales, F. and Y. Xue (2013) Dynamic downscaling of 22-year CFS winter seasonal forecasts with the UCLA-ETA regional climate model over the United States. Climate Dynamics. 41: 255-275. DOI: 10.1007/s00382-012-1567-x
  • De Sales, F. and Y. Xue (2011), Assessing the dynamic-downscaling ability over South America using the intensity-scale verification technique. International Journal of Climatology, 31: 1205–1221. doi: 10.1002/joc.2139..
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