Articles | Volume 20, issue 10
Research article
21 Oct 2020
Research article |  | 21 Oct 2020

Assessing atmospheric moisture effects on heavy precipitation during HyMeX IOP16 using GPS nudging and dynamical downscaling

Alberto Caldas-Alvarez and Samiro Khodayar

Data sets

The Regional Climate Model COSMO-CLM (CCLM) B. Rockel, A. Will, and A. Hense

Analysis data to Caldas-Alvarez and Khodayar (2020) A. Caldas-Alvarez and S. Khodayar

Short summary
Heavy precipitation causes serious losses and several casualties in the western Mediterranean every year. To predict this phenomenon better, we aim at understanding how the models represent the interaction between atmospheric moisture and precipitation by nudging a 10 min, state-of-the-art GPS data set. We found, for the selected case in autumn 2012, that the improvement in the modelling of precipitation stems from relevant variations of atmospheric instability and humidity above 1.5 km.
Final-revised paper