DOI: 10.5194/hess-19-2717-2015
Scopus记录号: 2-s2.0-84934924865
论文题名: Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: The ANATEM model
作者: Kuentz A ; , Mathevet T ; , Gailhard J ; , Hingray B
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 6 起始页码: 2717
结束页码: 2736
语种: 英语
Scopus关键词: Climatology
; Hydrology
; Time series
; Watersheds
; Atmospheric circulation patterns
; Climatic informations
; Low frequency variability
; Precipitation time series
; Research communities
; Spatial homogeneity
; Spatio-temporal resolution
; Spatio-temporal scale
; Atmospheric temperature
; air temperature
; atmospheric circulation
; global climate
; homogeneity
; long-term change
; model test
; multicriteria analysis
; observational method
; performance assessment
; precipitation (climatology)
; reconstruction
; spatiotemporal analysis
; time series
; uncertainty analysis
; watershed
; Alps
; Durance Basin
; France
; Provence-Alpes-Cote d'Azur
英文摘要: Efforts to improve the understanding of past climatic or hydrologic variability have received a great deal of attention in various fields of geosciences such as glaciology, dendrochronology, sedimentology and hydrology. Based on different proxies, each research community produces different kinds of climatic or hydrologic reanalyses at different spatio-temporal scales and resolutions. When considering climate or hydrology, many studies have been devoted to characterising variability, trends or breaks using observed time series representing different regions or climates of the world. However, in hydrology, these studies have usually been limited to short temporal scales (mainly a few decades and more rarely a century) because they require observed time series (which suffer from a limited spatio-temporal density). This paper introduces ANATEM, a method that combines local observations and large-scale climatic information (such as the 20CR Reanalysis) to build long-term probabilistic air temperature and precipitation time series with a high spatio-temporal resolution (1 day and a few km2). ANATEM was tested on the reconstruction of air temperature and precipitation time series of 22 watersheds situated in the Durance River basin, in the French Alps. Based on a multi-criteria and multi-scale diagnosis, the results show that ANATEM improves the performance of classical statistical models - especially concerning spatial homogeneity - while providing an original representation of uncertainties which are conditioned by atmospheric circulation patterns. The ANATEM model has been also evaluated for the regional scale against independent long-term time series and was able to capture regional low-frequency variability over more than a century (1883-2010). © Author(s) 2015. CC Attribution 3.0 License. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78497
Appears in Collections: 气候变化事实与影响
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作者单位: Électricité de France, DTG, BP 41, Grenoble Cedex 09, France; Irstea, Hydrosystems and Bioprocesses Research Unit (HBAN), 1 rue Pierre-Gilles de Gennes, CS 10030, Antony Cedex, France; CNRS, LTHE UMR 5564, Grenoble, France; Université Grenoble Alpes, LTHE UMR 5564, Grenoble, France; Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Recommended Citation:
Kuentz A,, Mathevet T,, Gailhard J,et al. Building long-term and high spatio-temporal resolution precipitation and air temperature reanalyses by mixing local observations and global atmospheric reanalyses: The ANATEM model[J]. Hydrology and Earth System Sciences,2015-01-01,19(6)