气候变化领域集成服务门户(CCPortal): Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments

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DOI	10.1029/2019JD031485
	Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments
	Beck H.E.; Pan M.; Lin P.; Seibert J.; van Dijk A.I.J.M.; Wood E.F.
发表日期	2020
ISSN	2169897X
卷号	125 期号:17
英文摘要	All hydrological models need to be calibrated to obtain satisfactory streamflow simulations. Here we present a novel parameter regionalization approach that involves the optimization of transfer equations linking model parameters to climate and landscape characteristics. The optimization was performed in a fully spatially distributed fashion at high resolution (0.05°), instead of at lumped catchment scale, using an unprecedented database of daily observed streamflow from 4,229 headwater catchments (<5,000 km2) worldwide. The optimized equations were subsequently applied globally to produce parameter maps for the entire land surface including ungauged regions. The approach was evaluated using the Kling-Gupta efficiency (KGE) and a gridded version of the hydrological model HBV. Tenfold cross validation was used to evaluate the generalizability of the approach and to obtain an ensemble of parameter maps. For the 4,229 independent validation catchments, the regionalized parameters yielded a median KGE of 0.46. The median KGE improvement (relative to uncalibrated parameters) was 0.29, and improvements were obtained for 88% of the independent validation catchments. These scores compare favorably to those from previous large catchment sample studies. The degree of performance improvement due to the regionalized parameters did not depend on climate or topography. Substantial improvements were obtained even for independent validation catchments located far from the catchments used for optimization, underscoring the value of the derived parameters for poorly gauged regions. The regionalized parameters—available via www.gloh2o.org/hbv—should be useful for hydrological applications requiring accurate streamflow simulations. ©2020 The Authors.
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/185784
作者单位	Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States; Department of Geography, University of Zurich, Zurich, Switzerland; Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden; Department of Physical Geography, Stockholm University, Stockholm, Sweden; Fenner School for Environment and Society, Australian National University, Canberra, ACT, Australia
推荐引用方式 GB/T 7714	Beck H.E.,Pan M.,Lin P.,et al. Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments[J],2020,125(17).
APA	Beck H.E.,Pan M.,Lin P.,Seibert J.,van Dijk A.I.J.M.,&Wood E.F..(2020).Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments.Journal of Geophysical Research: Atmospheres,125(17).
MLA	Beck H.E.,et al."Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments".Journal of Geophysical Research: Atmospheres 125.17(2020).