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

Related authors

Using a data-driven statistical model to better evaluate surface turbulent heat fluxes in weather and climate numerical models: a demonstration study
Maurin Zouzoua, Sophie Bastin, Marjolaine Chiriaco, Fabienne Lohou, Marie Lothon, Mathilde Jome, Cécile Mallet, Laurent Barthes, and Guylaine Canut
EGUsphere, https://doi.org/10.5194/egusphere-2024-568,https://doi.org/10.5194/egusphere-2024-568, 2024
Short summary
Estimation of the terms acting on local 1 h surface temperature variations in Paris region: the specific contribution of clouds
Oscar Javier Rojas Muñoz, Marjolaine Chiriaco, Sophie Bastin, and Justine Ringard
Atmos. Chem. Phys., 21, 15699–15723, https://doi.org/10.5194/acp-21-15699-2021,https://doi.org/10.5194/acp-21-15699-2021, 2021
Short summary
Recent trends in climate variability at the local scale using 40 years of observations: the case of the Paris region of France
Justine Ringard, Marjolaine Chiriaco, Sophie Bastin, and Florence Habets
Atmos. Chem. Phys., 19, 13129–13155, https://doi.org/10.5194/acp-19-13129-2019,https://doi.org/10.5194/acp-19-13129-2019, 2019
Short summary
ELIFAN, an algorithm for the estimation of cloud cover from sky imagers
Marie Lothon, Paul Barnéoud, Omar Gabella, Fabienne Lohou, Solène Derrien, Sylvain Rondi, Marjolaine Chiriaco, Sophie Bastin, Jean-Charles Dupont, Martial Haeffelin, Jordi Badosa, Nicolas Pascal, and Nadège Montoux
Atmos. Meas. Tech., 12, 5519–5534, https://doi.org/10.5194/amt-12-5519-2019,https://doi.org/10.5194/amt-12-5519-2019, 2019
Short summary
CORDEX-WRF v1.3: development of a module for the Weather Research and Forecasting (WRF) model to support the CORDEX community
Lluís Fita, Jan Polcher, Theodore M. Giannaros, Torge Lorenz, Josipa Milovac, Giannis Sofiadis, Eleni Katragkou, and Sophie Bastin
Geosci. Model Dev., 12, 1029–1066, https://doi.org/10.5194/gmd-12-1029-2019,https://doi.org/10.5194/gmd-12-1029-2019, 2019
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Finite domains cause bias in measured and modeled distributions of cloud sizes
Thomas D. DeWitt and Timothy J. Garrett
Atmos. Chem. Phys., 24, 8457–8472, https://doi.org/10.5194/acp-24-8457-2024,https://doi.org/10.5194/acp-24-8457-2024, 2024
Short summary
A systematic evaluation of high-cloud controlling factors
Sarah Wilson Kemsley, Paulo Ceppi, Hendrik Andersen, Jan Cermak, Philip Stier, and Peer Nowack
Atmos. Chem. Phys., 24, 8295–8316, https://doi.org/10.5194/acp-24-8295-2024,https://doi.org/10.5194/acp-24-8295-2024, 2024
Short summary
Tracking precipitation features and associated large-scale environments over southeastern Texas
Ye Liu, Yun Qian, Larry K. Berg, Zhe Feng, Jianfeng Li, Jingyi Chen, and Zhao Yang
Atmos. Chem. Phys., 24, 8165–8181, https://doi.org/10.5194/acp-24-8165-2024,https://doi.org/10.5194/acp-24-8165-2024, 2024
Short summary
Revisiting the evolution of downhill thunderstorms over Beijing: a new perspective from a radar wind profiler mesonet
Xiaoran Guo, Jianping Guo, Tianmeng Chen, Ning Li, Fan Zhang, and Yuping Sun
Atmos. Chem. Phys., 24, 8067–8083, https://doi.org/10.5194/acp-24-8067-2024,https://doi.org/10.5194/acp-24-8067-2024, 2024
Short summary
How well can persistent contrails be predicted? An update
Sina Hofer, Klaus Gierens, and Susanne Rohs
Atmos. Chem. Phys., 24, 7911–7925, https://doi.org/10.5194/acp-24-7911-2024,https://doi.org/10.5194/acp-24-7911-2024, 2024
Short summary

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. 
Download
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.
Altmetrics
Final-revised paper
Preprint