气候变化领域集成服务门户(CCPortal): Impact of humidity biases on light precipitation occurrence: Observations versus simulations

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DOI	10.5194/acp-19-1471-2019
	Impact of humidity biases on light precipitation occurrence: Observations versus simulations
	Bastin S.; Drobinski P.; Chiriaco M.; Bock O.; Roehrig R.; Gallardo C.; Conte D.; Domínguez Alonso M.; Li L.; Lionello P.; Parracho A.C.
发表日期	2019
ISSN	16807316
起始页码	1471
结束页码	1490
卷号	19 期号:3
英文摘要	This work uses a network of GPS stations over Europe from which a homogenized integrated water vapor (IWV) dataset has been retrieved, completed with colocated temperature and precipitation measurements over specific stations to (i) estimate the biases of six regional climate models over Europe in terms of humidity; (ii) understand their origins; and (iii) finally assess the impact of these biases on the frequency of occurrence of precipitation. The evaluated simulations have been performed in the framework of HYMEX/Med-CORDEX programs and cover the Mediterranean area and part of Europe at horizontal resolutions of 50 to 12 km. The analysis shows that models tend to overestimate the low values of IWV and the use of the nudging technique reduces the differences between GPS and simulated IWV. Results suggest that physics of models mostly explain the mean biases, while dynamics affects the variability. The land surface-atmosphere exchanges affect the estimation of IWV over most part of Europe, especially in summer. The limitations of the models to represent these processes explain part of their biases in IWV. However, models correctly simulate the dependance between IWV and temperature, and specifically the deviation that this relationship experiences regarding the Clausius-Clapeyron law after a critical value of temperature (Tbreak). The high spatial variability of Tbreak indicates that it has a strong dependence on local processes which drive the local humidity sources. This explains why the maximum values of IWV are not necessarily observed over warmer areas, which are often dry areas. Finally, it is shown over the SIRTA observatory (near Paris) that the frequency of occurrence of light precipitation is strongly conditioned by the biases in IWV and by the precision of the models to reproduce the distribution of IWV as a function of the temperature. The results of the models indicate that a similar dependence occurs in other areas of Europe, especially where precipitation has a predominantly convective character. According to the observations, for each range of temperature, there is a critical value of IWV from which precipitation starts to increase. The critical values and the probability of exceeding them are simulated with a bias that depends on the model. Those models, which generally present light precipitation too often, show lower critical values and higher probability of exceeding them. © Author(s) 2019.
语种	英语
scopus关键词	climate modeling; computer simulation; GPS; humidity; precipitation (climatology); water vapor; Europe
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/144670
作者单位	LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS, Guyancourt, France; LMD/IPSL, Ecole Polytechnique, Sorbonne Université, ENS, CNRS, Palaiseau, France; IPGP, IGN, ENSG, Université Paris Diderot, Sorbonne Paris Cité, UMR7154 CNRS, Paris, France; CNRM, Université de Toulouse, Meteo-France, CNRS, Toulouse, France; UCLM, Instituto de Ciencias Ambientales, Toledo, Spain; AEMET, Agencia Estatal de Meteorología, Madrid, Spain; CMCC, Euro Mediterranean Center on Climage Change, Lecce, 73100, Italy; DiSTeBA, University of Salento, Lecce, 73100, Italy
推荐引用方式 GB/T 7714	Bastin S.,Drobinski P.,Chiriaco M.,et al. Impact of humidity biases on light precipitation occurrence: Observations versus simulations[J],2019,19(3).
APA	Bastin S..,Drobinski P..,Chiriaco M..,Bock O..,Roehrig R..,...&Parracho A.C..(2019).Impact of humidity biases on light precipitation occurrence: Observations versus simulations.Atmospheric Chemistry and Physics,19(3).
MLA	Bastin S.,et al."Impact of humidity biases on light precipitation occurrence: Observations versus simulations".Atmospheric Chemistry and Physics 19.3(2019).