Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021633 |
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 |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
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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