DOI: 10.5194/hess-21-3125-2017
Scopus记录号: 2-s2.0-85021648829
论文题名: Calibration of a large-scale hydrological model using satellite-based soil moisture and evapotranspiration products
作者: López P ; L ; , Sutanudjaja E ; H ; , Schellekens J ; , Sterk G ; , Bierkens M ; F ; P
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 6 起始页码: 3125
结束页码: 3144
语种: 英语
Scopus关键词: Climate change
; Evapotranspiration
; Hydrology
; Information management
; Moisture
; Observatories
; Parameter estimation
; Precipitation (meteorology)
; Rivers
; Satellites
; Soil moisture
; Soils
; Stream flow
; Time series
; Water resources
; Watersheds
; Actual evapotranspiration
; Environmental variables
; Hydrological modeling
; Hydrometeorological data
; Large scale hydrological model
; Precipitation products
; Surface soil moisture
; Water resources assessment
; Climate models
; calibration
; discharge
; evapotranspiration
; hydrological modeling
; parameterization
; performance assessment
; precipitation (climatology)
; satellite data
; soil moisture
; spatial resolution
; streamflow
; time series
; Morocco
; Oum er Rbia River
英文摘要: A considerable number of river basins around the world lack sufficient ground observations of hydrometeorological data for effective water resources assessment and management. Several approaches can be developed to increase the quality and availability of data in these poorly gauged or ungauged river basins; among them, the use of Earth observations products has recently become promising. Earth observations of various environmental variables can be used potentially to increase knowledge about the hydrological processes in the basin and to improve streamflow model estimates, via assimilation or calibration. The present study aims to calibrate the large-scale hydrological model PCRaster GLOBal Water Balance (PCR-GLOBWB) using satellite-based products of evapotranspiration and soil moisture for the Moroccan Oum er Rbia River basin. Daily simulations at a spatial resolution of 5-5 arcmin are performed with varying parameters values for the 32-year period 1979- 2010. Five different calibration scenarios are inter-compared: (i) reference scenario using the hydrological model with the standard parameterization, (ii) calibration using in situobserved discharge time series, (iii) calibration using the Global Land Evaporation Amsterdam Model (GLEAM) actual evapotranspiration time series, (iv) calibration using ESA Climate Change Initiative (CCI) surface soil moisture time series and (v) step-wise calibration using GLEAM actual evapotranspiration and ESA CCI surface soil moisture time series. The impact on discharge estimates of precipitation in comparison with model parameters calibration is investigated using three global precipitation products, including ERA-Interim (EI), WATCH Forcing methodology applied to ERA-Interim reanalysis data (WFDEI) and Multi- Source Weighted-Ensemble Precipitation data by merging gauge, satellite and reanalysis data (MSWEP). Results show that GLEAM evapotranspiration and ESA CCI soil moisture may be used for model calibration resulting in reasonable discharge estimates (NSE values from 0.5 to 0.75), although better model performance is achieved when the model is calibrated with in situ streamflow observations. Independent calibration based on only evapotranspiration or soil moisture observations improves model predictions to a lesser extent. Precipitation input affects discharge estimates more than calibrating model parameters. The use of WFDEI precipitation leads to the lowest model performances. Apart from the in situ discharge calibration scenario, the highest discharge improvement is obtained when EI and MSWEP precipitation products are used in combination with a step-wise calibration approach based on evapotranspiration and soil moisture observations. This study opens up the possibility of using globally available Earth observations and reanalysis products of precipitation, evapotranspiration and soil moisture in large-scale hydrological models to estimate discharge at a river basin scale. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79137
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Inland Water Systems Unit, Deltares, Delft, Netherlands; Department of Physical Geography, Faculty of Geosciences, Utrecht University, Utrecht, Netherlands; Subsurface and Groundwater Systems Unit, Deltares, Utrecht, Netherlands
Recommended Citation:
López P,L,, Sutanudjaja E,et al. Calibration of a large-scale hydrological model using satellite-based soil moisture and evapotranspiration products[J]. Hydrology and Earth System Sciences,2017-01-01,21(6)