气候变化领域集成服务门户(CCPortal): Global partitioning of runoff generation mechanisms using remote sensing data

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DOI	10.5194/hess-24-1415-2020
	Global partitioning of runoff generation mechanisms using remote sensing data
	Lucey J.T.D.; Reager J.T.; Lopez S.R.
发表日期	2020
ISSN	1027-5606
起始页码	1415
结束页码	1427
卷号	24 期号:3
英文摘要	A set of complex processes contribute to generate river runoff, which in the hydrological sciences are typically divided into two major categories: surface runoff, sometimes called Hortonian flow, and baseflow-driven runoff or Dunne flow. In this study, we examine the covariance of global satellite-based surface water inundation (SWI) observations with two remotely sensed hydrological variables, precipitation, and terrestrial water storage, to better understand how apparent runoff generation responds to these two dominant forcing mechanisms in different regions of the world. Terrestrial water storage observations come from NASA's Gravity Recovery and Climate Experiment (GRACE) mission, while precipitation comes from the Global Precipitation Climatology Project (GPCP) combined product, and surface inundation levels from the NASA Surface WAter Microwave Product Series (SWAMPS) product. We evaluate the statistical relationship between surface water inundation, total water storage anomalies (TWS; TWSAs), and precipitation values under different time lag and quality control adjustments between the data products. We find that the global estimation of surface inundation improves when considering a quality control threshold of 50% reliability for the SWAMPS data and after applying time lags ranging from 1 to 5 months. Precipitation and total water storage equally control the majority of surface inundation developments across the globe. The model tends to underestimate and overestimate at locations with high interannual variability and with low inundation measurements, respectively. © 2020 Author(s).
语种	英语
scopus关键词	Digital storage; Floods; Geodetic satellites; NASA; Precipitation (meteorology); Quality control; Remote sensing; Wetlands; Global precipitation climatology projects; Gravity Recovery and Climate Experiment missions; Hydrological variables; Interannual variability; Remote sensing data; Runoff generation mechanisms; Statistical relationship; Terrestrial water storage; Runoff; GRACE; precipitation (climatology); quality control; remote sensing; runoff; satellite data; satellite mission; surface water; threshold; Hortonia
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/159462
作者单位	Lucey, J.T.D., Department of Civil Engineering, California State University, Los Angeles, Los Angeles, CA 90032, United States, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States; Reager, J.T., NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, United States; Lopez, S.R., Department of Civil Engineering, California State University, Los Angeles, Los Angeles, CA 90032, United States
推荐引用方式 GB/T 7714	Lucey J.T.D.,Reager J.T.,Lopez S.R.. Global partitioning of runoff generation mechanisms using remote sensing data[J],2020,24(3).
APA	Lucey J.T.D.,Reager J.T.,&Lopez S.R..(2020).Global partitioning of runoff generation mechanisms using remote sensing data.Hydrology and Earth System Sciences,24(3).
MLA	Lucey J.T.D.,et al."Global partitioning of runoff generation mechanisms using remote sensing data".Hydrology and Earth System Sciences 24.3(2020).