globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-015-2676-0
Scopus记录号: 2-s2.0-84959178866
论文题名:
A complete hydro-climate model chain to investigate the influence of sea surface temperature on recent hydroclimatic variability in subtropical South America (Laguna Mar Chiquita, Argentina)
作者: Troin M.; Vrac M.; Khodri M.; Caya D.; Vallet-Coulomb C.; Piovano E.; Sylvestre F.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期:2017-05-06
起始页码: 1783
结束页码: 1798
语种: 英语
英文关键词: Hydrological modeling ; Lake level variability ; LMDz ; Southeastern South America ; Statistical downscaling
英文摘要: During the 1970s, Laguna Mar Chiquita (Argentina) experienced a dramatic hydroclimatic anomaly, with a substantial rise in its level. Precipitations are the dominant driving factor in lake level fluctuations. The present study investigates the potential role of remote forcing through global sea surface temperature (SST) fields in modulating recent hydroclimatic variability in Southeastern South America and especially over the Laguna Mar Chiquita region. Daily precipitation and temperature are extracted from a multi-member LMDz atmospheric general circulation model (AGCM) ensemble of simulations forced by HadISST1 observed time-varying global SST and sea-ice boundary conditions from 1950 to 2005. The various members of the ensemble are only different in their atmospheric initial conditions. Statistical downscaling (SD) is used to adjust precipitation and temperature from LMDz ensemble mean at the station scale over the basin. A coupled basin-lake hydrological model (cpHM) is then using the LMDz-downscaled (LMDz-SD) climate variables as input to simulate the lake behavior. The results indicate that the long-term lake level trend is fairly well depicted by the LMDz-SD-cpHM simulations. The 1970s level rise and high-level conditions are generally well captured in timing and in magnitude when SST-forced AGCM-SD variables are used to drive the cpHM. As the LMDz simulations are forced solely with the observed sea surface conditions, the global SST seems to have an influence on the lake level variations of Laguna Mar Chiquita. As well, this study shows that the AGCM-SD-cpHM model chain is a useful approach for evaluating long-term lake level fluctuations in response to the projected climate changes. © 2015, Springer-Verlag Berlin Heidelberg.
资助项目: CNRS, Ministerio de Ciencia, Tecnología e Innovación Productiva ; MINCyT, Ministerio de Ciencia, Tecnología e Innovación Productiva
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53783
Appears in Collections:过去全球变化的重建

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作者单位: CNRS, IRD, CEREGE UM34, Aix-Marseille Université, Aix-en-Provence, France; Department of Construction Engineering, École de technologie supérieure, Université du Québec, 1100 Notre-Dame Street West, Montreal, QC, Canada; Laboratoire des Sciences du Climat et de l’Environnement (LSCE-IPSL) CNRS-CEA-UVSQ, Centre d’étude de Saclay, Orme des Merisiers, Bat. 701, Gif-Sur-Yvette, France; LOCEAN/IPSL, IRD/CNRS/MNHN/UPMC, Sorbonne Université, Tour 45-55, 4 place Jussieu, Paris Cedex 5, France; CICTERRA-CIGeS, Universidad Nacional de Córdoba, Av. Velez Sarsfield 1611, X5016GCA, Córdoba, Argentina

Recommended Citation:
Troin M.,Vrac M.,Khodri M.,et al. A complete hydro-climate model chain to investigate the influence of sea surface temperature on recent hydroclimatic variability in subtropical South America (Laguna Mar Chiquita, Argentina)[J]. Climate Dynamics,2016-01-01,46(2017-05-06)
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