Articles | Volume 19, issue 3
https://doi.org/10.5194/acp-19-1471-2019
https://doi.org/10.5194/acp-19-1471-2019
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

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Cited articles

Allan, R. P. and Soden, B.: Atmospheric warming and the amplification of precipitation extremes, Science, 321, 1481–1484, 2008. 
Allen, M. R. and Ingram, W. J.: Constraints on future changes in climate and the hydrological cycle, Nature, 419, 224–32, 2002. 
Baldauf, M. and Schulz, J. P.: Prognostic precipitation in the Lokal – Modell (LM) of DWD, COSMO Newsletter, 4, 177–180, 2004. 
Bastin, S., Champollion, C., Bock, O., Drobinski, P., and Masson F.: On the use of GPS tomography to investigate the water vapor variability during a Mistral/sea-breeze event in southeastern France, Geophys. Res. Lett., 32, L05808, https://doi.org/10.1029/2004GL021907, 2005. 
Bastin, S., Champollion, C., Bock, O., Drobinski, P., and Masson, F.: Diurnal cycle of water vapor as documented by a dense GPS network in a coastal area during ESCOMPTE-IOP2, J. Appl. Meteorol. Clim., 46, 167–182, 2007. 
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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.
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