GSTDTAP  > 资源环境科学
DOI10.1002/2017WR021633
Testing the Hydrological Coherence of High-Resolution Gridded Precipitation and Temperature Data Sets
Laiti, L.1; Mallucci, S.1; Piccolroaz, S.1,2; Bellin, A.1; Zardi, D.1; Fiori, A.3; Nikulin, G.4; Majone, B.1
2018-03-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2018
卷号54期号:3页码:1999-2016
文章类型Article
语种英语
国家Italy; Netherlands; Sweden
英文摘要

Assessing the accuracy of gridded climate data sets is highly relevant to climate change impact studies, since evaluation, bias correction, and statistical downscaling of climate models commonly use these products as reference. Among all impact studies those addressing hydrological fluxes are the most affected by errors and biases plaguing these data. This paper introduces a framework, coined Hydrological Coherence Test (HyCoT), for assessing the hydrological coherence of gridded data sets with hydrological observations. HyCoT provides a framework for excluding meteorological forcing data sets not complying with observations, as function of the particular goal at hand. The proposed methodology allows falsifying the hypothesis that a given data set is coherent with hydrological observations on the basis of the performance of hydrological modeling measured by a metric selected by the modeler. HyCoT is demonstrated in the Adige catchment (southeastern Alps, Italy) for streamflow analysis, using a distributed hydrological model. The comparison covers the period 1989-2008 and includes five gridded daily meteorological data sets: E-OBS, MSWEP, MESAN, APGD, and ADIGE. The analysis highlights that APGD and ADIGE, the data sets with highest effective resolution, display similar spatiotemporal precipitation patterns and produce the largest hydrological efficiency indices. Lower performances are observed for E-OBS, MESAN, and MSWEP, especially in small catchments. HyCoT reveals deficiencies in the representation of spatiotemporal patterns of gridded climate data sets, which cannot be corrected by simply rescaling the meteorological forcing fields, as often done in bias correction of climate model outputs. We recommend this framework to assess the hydrological coherence of gridded data sets to be used in large-scale hydroclimatic studies.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000430364900033
WOS关键词BIAS CORRECTION ; CLIMATE-CHANGE ; SURFACE-TEMPERATURE ; REGIONAL REANALYSIS ; CIRCULATION TYPES ; MODEL ; PRODUCTS ; PERFORMANCE ; SATELLITE ; GAUGE
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/19954
专题资源环境科学
作者单位1.Univ Trento, Dept Civil Environm & Mech Engn, Trento, Italy;
2.Univ Utrecht, Inst Marine & Atmospher Res Utrecht, Dept Phys & Astron, Utrecht, Netherlands;
3.Univ Roma Tre, Dept Engn, Rome, Italy;
4.Swedish Meteorol & Hydrol Inst, Rossby Ctr, Norrkoping, Sweden
推荐引用方式
GB/T 7714
Laiti, L.,Mallucci, S.,Piccolroaz, S.,et al. Testing the Hydrological Coherence of High-Resolution Gridded Precipitation and Temperature Data Sets[J]. WATER RESOURCES RESEARCH,2018,54(3):1999-2016.
APA Laiti, L..,Mallucci, S..,Piccolroaz, S..,Bellin, A..,Zardi, D..,...&Majone, B..(2018).Testing the Hydrological Coherence of High-Resolution Gridded Precipitation and Temperature Data Sets.WATER RESOURCES RESEARCH,54(3),1999-2016.
MLA Laiti, L.,et al."Testing the Hydrological Coherence of High-Resolution Gridded Precipitation and Temperature Data Sets".WATER RESOURCES RESEARCH 54.3(2018):1999-2016.
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