Floodplain modeling
; Hydrological models
; Hydrological system
; Operational applications
; Prediction uncertainty
; Rainfall-runoff modeling
; Remote sensing data
; River basin management
; Data processing
; Digital storage
; Forecasting
; Geodetic satellites
; Radar
; Radar stations
; Remote sensing
; Space optics
; Water management
; Watersheds
; Radar measurement
; altimetry
; basin management
; data assimilation
; error analysis
; floodplain
; hydrological modeling
; inflow
; prediction
; radar
; reservoir
; river discharge
; Zambezi Basin
英文摘要:
River basin management can greatly benefit from short-term river discharge predictions. In order to improve model produced discharge forecasts, data assimilation allows for the integration of current observations of the hydrological system to produce improved forecasts and reduce prediction uncertainty. Data assimilation is widely used in operational applications to update hydrological models with in situ discharge or level measurements. In areas where timely access to in situ data is not possible, remote sensing data products can be used in assimilation schemes.
While river discharge itself cannot be measured from space, radar altimetry can track surface water level variations at crossing locations between the satellite ground track and the river system called virtual stations (VS). Use of radar altimetry versus traditional monitoring in operational settings is complicated by the low temporal resolution of the data (between 10 and 35 days revisit time at a VS depending on the satellite) as well as the fact that the location of the measurements is not necessarily at the point of interest. However, combining radar altimetry from multiple VS with hydrological models can help overcome these limitations.
Department of Environmental Engineering, Technical University of Denmark, Miljøvej Building 113, 2800 Kgs. Lyngby, Denmark
Recommended Citation:
Michailovsky C,I,, Bauer-Gottwein P. Operational reservoir inflow forecasting with radar altimetry: The Zambezi case study[J]. Hydrology and Earth System Sciences,2014-01-01,18(3)