全球智库信息集成服务系统(G2TT): Filling the gaps: calibrating a rainfall-runoff model using a satellite-derived surface water extent.

G2TT

来源类型	Article
规范类型	其他
DOI	10.1016/j.rse.2015.10.022
	Filling the gaps: calibrating a rainfall-runoff model using a satellite-derived surface water extent.
	Revilla-Romero B; Beck HE; Burek P; Salamon P; de roo A; Thielen J
发表日期	2015
出处	Remote Sensing of Environment 171: 118-131
出版年	2015
语种	英语
摘要	Calibration is a crucial step in the application of hydrological models and is typically performed using in situ streamflow data. However, many rivers on the globe are ungauged or poorly gauged, or the gauged data are not readily available. In this study, we used remotely- sensed surface water extent from the Global Flood Detection System (GFDS) as a proxy for streamflow, and tested its value for calibration of the distributed rainfall-runoff routing model LISFLOOD. In a first step, we identified 30 streamflow gauging sites with a high likelihood of reliable GFDS data. Next, for each of these 30 sites, the model parameters related to groundwater and routing were independently calibrated against in situ and GFDS-derived streamflow time series, and against the raw GFDS surface water extent time series. We compared the performance of the three calibrated and the uncalibrated model simulations in terms of reproducing the in situ streamflow time series. Furthermore, we calculated the gain achieved by each scenario that used satellite-derive information relative to the reference uncalibrated scenario and the one that used in situ data.
主题	Water (WAT)
关键词	remote sensing streamflow global hydrology model calibration Global Flood Detection System (GFDS) LISFLOOD Global Flood Awareness System GloFAS.
URL	http://pure.iiasa.ac.at/id/eprint/11345/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/130288
推荐引用方式 GB/T 7714	Revilla-Romero B,Beck HE,Burek P,et al. Filling the gaps: calibrating a rainfall-runoff model using a satellite-derived surface water extent.. 2015.