气候变化领域集成服务门户(CCPortal): A Climate Data Record (CDR) for the global terrestrial water budget: 1984-2010

CCPortal

DOI	10.5194/hess-22-241-2018
	A Climate Data Record (CDR) for the global terrestrial water budget: 1984-2010
	Zhang Y.; Pan M.; Sheffield J.; Siemann A.L.; Fisher C.K.; Liang M.; Beck H.E.; Wanders N.; MacCracken R.F.; Houser P.R.; Zhou T.; Lettenmaier D.P.; Pinker R.T.; Bytheway J.; Kummerow C.D.; Wood E.F.
发表日期	2018
ISSN	1027-5606
起始页码	241
结束页码	263
卷号	22 期号:1
英文摘要	Closing the terrestrial water budget is necessary to provide consistent estimates of budget components for understanding water resources and changes over time. Given the lack of in situ observations of budget components at anything but local scale, merging information from multiple data sources (e.g., in situ observation, satellite remote sensing, land surface model, and reanalysis) through data assimilation techniques that optimize the estimation of fluxes is a promising approach. Conditioned on the current limited data availability, a systematic method is developed to optimally combine multiple available data sources for precipitation (P), evapotranspiration (ET), runoff (R), and the total water storage change (TWSC) at 0.5° spatial resolution globally and to obtain water budget closure (i.e., to enforce P - ET - R - TWSC = 0) through a constrained Kalman filter (CKF) data assimilation technique under the assumption that the deviation from the ensemble mean of all data sources for the same budget variable is used as a proxy of the uncertainty in individual water budget variables. The resulting long-term (1984-2010), monthly 0.5° resolution global terrestrial water cycle Climate Data Record (CDR) data set is developed under the auspices of the National Aeronautics and Space Administration (NASA) Earth System Data Records (ESDRs) program. This data set serves to bridge the gap between sparsely gauged regions and the regions with sufficient in situ observations in investigating the temporal and spatial variability in the terrestrial hydrology at multiple scales. The CDR created in this study is validated against in situ measurements like river discharge from the Global Runoff Data Centre (GRDC) and the United States Geological Survey (USGS), and ET from FLUXNET. The data set is shown to be reliable and can serve the scientific community in understanding historical climate variability in water cycle fluxes and stores, benchmarking the current climate, and validating models. © Author(s) 2018.
语种	英语
scopus关键词	Climate models; Clock and data recovery circuits (CDR circuits); Digital storage; Earth (planet); NASA; Remote sensing; Runoff; Water resources; Water supply; Climate data records; Data assimilation techniques; Land surface modeling; Multiple data sources; Satellite remote sensing; Scientific community; Temporal and spatial variability; United states geological surveys; Budget control; climate change; data assimilation; estimation method; evapotranspiration; gauge; hydrological cycle; hydrological modeling; in situ measurement; Kalman filter; river discharge; runoff; spatial variation; water budget; water resource
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160154
作者单位	Zhang, Y., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States; Pan, M., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States; Sheffield, J., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States; Siemann, A.L., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States; Fisher, C.K., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States; Liang, M., National Meteorological Center, China Meteorological Administration, Beijing, 100081, China; Beck, H.E., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States; Wanders, N., Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, United States; MacCracken, R.F., George Mason University, Fairfax, VA 2...
推荐引用方式 GB/T 7714	Zhang Y.,Pan M.,Sheffield J.,et al. A Climate Data Record (CDR) for the global terrestrial water budget: 1984-2010[J],2018,22(1).
APA	Zhang Y..,Pan M..,Sheffield J..,Siemann A.L..,Fisher C.K..,...&Wood E.F..(2018).A Climate Data Record (CDR) for the global terrestrial water budget: 1984-2010.Hydrology and Earth System Sciences,22(1).
MLA	Zhang Y.,et al."A Climate Data Record (CDR) for the global terrestrial water budget: 1984-2010".Hydrology and Earth System Sciences 22.1(2018).