气候变化领域集成服务门户(CCPortal): Informing a hydrological model of the Ogooué with multi-mission remote sensing data

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DOI	10.5194/hess-22-1453-2018
	Informing a hydrological model of the Ogooué with multi-mission remote sensing data
	Kittel C.; Nielsen K.; Tøttrup C.; Bauer-Gottwein P.
发表日期	2018
ISSN	1027-5606
起始页码	1453
结束页码	1472
卷号	22 期号:2
英文摘要	Remote sensing provides a unique opportunity to inform and constrain a hydrological model and to increase its value as a decision-support tool. In this study, we applied a multi-mission approach to force, calibrate and validate a hydrological model of the ungauged Ogooué river basin in Africa with publicly available and free remote sensing observations. We used a rainfall-runoff model based on the Budyko framework coupled with a Muskingum routing approach. We parametrized the model using the Shuttle Radar Topography Mission digital elevation model (SRTM DEM) and forced it using precipitation from two satellite-based rainfall estimates, FEWS-RFE (Famine Early Warning System rainfall estimate) and the Tropical Rainfall Measuring Mission (TRMM) 3B42 v.7, and temperature from ECMWF ERA-Interim. We combined three different datasets to calibrate the model using an aggregated objective function with contributions from (1) historical in situ discharge observations from the period 1953-1984 at six locations in the basin, (2) radar altimetry measurements of river stages by Envisat and Jason-2 at 12 locations in the basin and (3) GRACE (Gravity Recovery and Climate Experiment) total water storage change (TWSC). Additionally, we extracted CryoSat-2 observations throughout the basin using a Sentinel-1 SAR (synthetic aperture radar) imagery water mask and used the observations for validation of the model. The use of new satellite missions, including Sentinel-1 and CryoSat-2, increased the spatial characterization of river stage. Throughout the basin, we achieved good agreement between observed and simulated discharge and the river stage, with an RMSD between simulated and observed water amplitudes at virtual stations of 0.74m for the TRMM-forced model and 0.87m for the FEWS-RFE-forced model. The hydrological model also captures overall total water storage change patterns, although the amplitude of storage change is generally underestimated. By combining hydrological modeling with multi-mission remote sensing from 10 different satellite missions, we obtain new information on an otherwise unstudied basin. The proposed model is the best current baseline characterization of hydrological conditions in the Ogooué in light of the available observations. © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	Climate change; Decision support systems; Digital storage; Food supply; Geodetic satellites; Hydrology; Precipitation (meteorology); Radar; Radar measurement; Rain; Rain gages; Remote sensing; Rivers; Satellites; Space-based radar; Surveying; Synthetic aperture radar; Tracking radar; Water resources; Digital elevation model; Gravity recovery and climate experiments; Hydrological condition; Rainfall-runoff modeling; SAR(synthetic aperture radar); Shuttle radar topography mission; Spatial characterization; Tropical rainfall measuring missions; Climate models; calibration; CryoSat; data set; decision support system; early warning system; Envisat; GRACE; hydrological modeling; Jason; model validation; radar altimetry; remote sensing; river discharge; satellite data; satellite imagery; satellite mission; Sentinel; Shuttle Radar Topography Mission; Ogooue River
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/160103
作者单位	Kittel, C., Department of Environmental Engineering, Technical University of Denmark, Lyngby, 2800 Kgs., Denmark; Nielsen, K., National Space Institute, Technical University of Denmark, Lyngby, 2800 Kgs., Denmark; Tøttrup, C., DHI-GRAS, Hørsholm, 2970, Denmark; Bauer-Gottwein, P., Department of Environmental Engineering, Technical University of Denmark, Lyngby, 2800 Kgs., Denmark
推荐引用方式 GB/T 7714	Kittel C.,Nielsen K.,Tøttrup C.,et al. Informing a hydrological model of the Ogooué with multi-mission remote sensing data[J],2018,22(2).
APA	Kittel C.,Nielsen K.,Tøttrup C.,&Bauer-Gottwein P..(2018).Informing a hydrological model of the Ogooué with multi-mission remote sensing data.Hydrology and Earth System Sciences,22(2).
MLA	Kittel C.,et al."Informing a hydrological model of the Ogooué with multi-mission remote sensing data".Hydrology and Earth System Sciences 22.2(2018).