Articles | Volume 19, issue 3
Research article
04 Feb 2019
Research article |  | 04 Feb 2019

Impact of humidity biases on light precipitation occurrence: observations versus simulations

Sophie Bastin, Philippe Drobinski, Marjolaine Chiriaco, Olivier Bock, Romain Roehrig, Clemente Gallardo, Dario Conte, Marta Domínguez Alonso, Laurent Li, Piero Lionello, and Ana C. Parracho

Data sets

GPS data: Daily and monthly reprocessed IWV data from 120 global GPS stations, version 1.2 O. Bock

ReOBS: a new approach to synthesize long-term multi-variable dataset and application to the SIRTA supersite M. Chiriaco, J.-C. Dupont, S. Bastin, J. Badosa, J. Lopez, M. Haeffelin, H. Chepfer, and R. Guzman

Short summary
This paper uses colocated observations of temperature, precipitation and humidity to investigate the triggering of precipitation. It shows that there is a critical value of humidity above which precipitation picks up. This critical value depends on T and varies spatially. It also analyses how this dependency is reproduced in regional climate simulations over Europe. Models with too little and too light precipitation have both lower critical value of humidity and higher probability to exceed it.
Final-revised paper