Using Spaceborne Lidar to Improve Climate Models

ama 2From this paper by two Korean researchers:

“Canopy height is closely related to biomass and aerodynamic properties, which regulate turbulent transfer of energy and mass at the soil-vegetation-atmosphere continuum. However, this key information has been prescribed as a constant value in a fixed plant functional type in atmospheric models.

This paper is the first to report impacts of using realistic forest canopy height, retrieved from spaceborne LiDAR, on regional climate simulation by using the canopy height data in the Weather Research and Forecasting (WRF) model’s land surface model.

Numerical simulations were conducted over the Amazon Basin during summer season. Over this region, the LiDAR-retrieved canopy heights were higher than the default values used in the WRF, which are dependent only on plant functional type. By modifying roughness length and zero-plane displacement height, the change of canopy height resulted in changes in surface energy balance by regulating aerodynamic conductances and vertical temperature gradient, thus modifying the lifting condensation level and equivalent potential temperature in the atmospheric boundary layer.

Our analysis also showed that the WRF model better reproduced the observed precipitation when LiDAR-retrieved canopy height was used over the Amazon Basin.

This entry was posted in airborne LiDAR, atmospheric, Environmental, Forestry, remote sensing, Research and tagged , , , . Bookmark the permalink.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.