Improved LAI EsTImaTIon for weather forecAsts
Abstract
Vegetation plays a relevant role in weather forecasting, since the spatial and temporal strongly varying vegetation properties and characteristics have a significant influence on the energy and water balance of the soil and the atmosphere or boundary layer near the soil. Up to now, this important role has not been sufficiently considered in weather models. Reasons for this are on the one hand the limited computing capacity and on the other hand the lack of reliable observation data of vegetation and land cover. Therefore, it is still common practice to use climatological LAI data and coarsely resolved global land cover data in weather models. The use of LAI climatologies may still be acceptable for global models due to the coarse grid. However, especially for convection-resolving models with grid distances in the low km range, this approach is insufficient and leads to sub-optimal predictions of small-scale phenomena, especially in topographically complex terrain.
keywords remote sensing LAI leaf area index
Publikationen
Project staff
Clement Atzberger
Univ.Prof. Dr.rer.nat. Clement Atzberger
clement.atzberger@boku.ac.at
Tel: +43 1 47654-85711
BOKU Project Leader
01.06.2020 - 31.03.2023
Anja Klisch
Dipl.-Ing.(FH) Dr. Anja Klisch
anja.klisch@boku.ac.at
Tel: +43 1 47654-85710
Project Staff
01.06.2020 - 31.03.2023