气候变化领域集成服务门户(CCPortal): Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques

CCPortal

DOI	10.1016/j.rse.2020.112191
	Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques
	Abolafia-Rosenzweig R.; Pan M.; Zeng J.L.; Livneh B.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Remote sensing is a useful tool for observing the water cycle. However, combining remote sensing products over any major river basin will result in a residual error in the overall water balance. Previous studies have either quantified this error without correcting it, or have merged observations together with land surface models (LSMs) to produce a single “best” estimate of the water balance. Here, we present a new approach in which combinations of remote sensing and in situ observations are constrained to enforce water balance closure. Rather than a single estimate, this produces an ensemble of unique water balance estimates intended to characterize uncertainty and to avoid biases implicit in LSMs. We evaluate three techniques of varying complexity to enforce water balance closure for individual ensemble members over 24 global basins from Oct. 2002 - Dec. 2014, resulting in as many as 60 realizations of the monthly water budget, contingent upon data availability. Compared with a published climate data record, the ensemble shows strong agreement for precipitation, evapotranspiration and changes in storage (R2: 0.91–0.95), with less agreement for streamflow (R2: 0.42–0.47), which may be indicative of LSM biases in the climate data record. Water balance residual errors resulting from combinations of raw products vary significantly (p < 0.001) with latitude, with a tendency for positive biases for low- and mid-latitude basins, and negative biases elsewhere. Overall, residual errors are equivalent to 15% of total precipitation when averaged across all data products and basins. This study shows that closure constraints provide additional value outside of closing the water budget, including reduction of uncertainty and transfer of closure constraints in time to provide skillful estimates of mean annual basin discharge. We also showed that a simpler closure technique, proportional redistribution, performed better than more complex ones in decreasing uncertainty and for transfer through time to estimate basin discharge when a rigorous analysis of errors for each data product is not accounted for. This observation-based dataset is distinct from modeled estimates and therefore has the potential to preserve important information of anthropogenic effects on the water balance. © 2020 The Author(s)
英文关键词	Evapotranspiration; Global hydrology; GRACE; Precipitation; Remote sensing; Terrestrial water budget; Water cycle
语种	英语
scopus关键词	Budget control; Digital storage; Errors; Remote sensing; Uncertainty analysis; Watersheds; Anthropogenic effects; Climate data records; Data availability; Ensemble members; In-situ observations; Land surface models; Rigorous analysis; Total precipitation; Water resources; data set; evapotranspiration; land surface; remote sensing; river basin; streamflow; water budget
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179051
作者单位	Department of Civil, Environmental, and Architectural Engineering, University of Colorado Boulder, Boulder, CO 80309, United States; Cooperative Institute for Research in Environmental Science (CIRES), University of Colorado Boulder, Boulder, CO 80309, United States; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States
推荐引用方式 GB/T 7714	Abolafia-Rosenzweig R.,Pan M.,Zeng J.L.,et al. Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques[J],2021,252.
APA	Abolafia-Rosenzweig R.,Pan M.,Zeng J.L.,&Livneh B..(2021).Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques.Remote Sensing of Environment,252.
MLA	Abolafia-Rosenzweig R.,et al."Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques".Remote Sensing of Environment 252(2021).