DOI: 10.5194/hess-22-1453-2018
Scopus记录号: 2-s2.0-85042721882
论文题名: Informing a hydrological model of the Ogooué with multi-mission remote sensing data
作者: Kittel C ; , Nielsen K ; , Tøttrup C ; , Bauer-Gottwein P
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 2 起始页码: 1453
结束页码: 1472
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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79380
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Environmental Engineering, Technical University of Denmark, Lyngby, Denmark; National Space Institute, Technical University of Denmark, Lyngby, Denmark; DHI-GRAS, Hørsholm, Denmark
Recommended Citation:
Kittel C,, Nielsen K,, Tøttrup C,et al. Informing a hydrological model of the Ogooué with multi-mission remote sensing data[J]. Hydrology and Earth System Sciences,2018-01-01,22(2)