Perspectives in using a remotely sensed dryness index in distributed hydrological models at the river-basin scale

J. Andersen, I. Sandholt, K. H. Jensen, J. C. Refsgaard, Hoshin Vijai Gupta

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

In a previous study a spatially distributed hydrological model, based on the MIKE SHE code, was constructed and validated for the 375 000 km2 Senegal River basin in West Africa. The model was constructed using spatial data on topography, soil types and vegetation characteristics together with time-series of precipitation from 112 stations in the basin. The model was calibrated and validated based on river discharge data from nine stations in the basin for 11 years. Calibration and validation results suggested that the spatial resolution of the input data in parts of the area was not sufficient for a satisfactory evaluation of the modelling performance. The study further examined the spatial patterns in the model input and output, and it was found that particularly the spatial resolution of the precipitation input had a major impact on the model response. In an attempt to improve the model performance, this study examines a remotely sensed dryness index for its relationship to simulated soil moisture and evaporation for six days in the wet season 1990. The index is derived from observations of surface temperature and vegetation index as measured by the NOAA Advanced Very High Resolution Radiometer (AVHRR) sensor. The correlation results between the index and the simulation results are of mixed quality. A sensitivity analysis, conducted on both estimates, reveals significant uncertainties in both. The study suggests that the remotely sensed dryness index with its current use of NOAA AVHRR data does not offer information that leads to a better calibration or validation of the simulation model in a spatial sense. The method potentially may become more suitable with the use of the upcoming high-resolution temporal Meteosat Second Generation data.

Original languageEnglish (US)
Pages (from-to)2973-2987
Number of pages15
JournalHydrological Processes
Volume16
Issue number15
DOIs
StatePublished - Oct 30 2002

Fingerprint

river basin
AVHRR
spatial resolution
calibration
Meteosat
vegetation index
index
river discharge
basin
spatial data
wet season
simulation
sensitivity analysis
soil type
surface temperature
evaporation
soil moisture
topography
time series
sensor

Keywords

  • Distributed hydrological modelling
  • Remote sensing
  • Soil moisture index

ASJC Scopus subject areas

  • Water Science and Technology

Cite this

Perspectives in using a remotely sensed dryness index in distributed hydrological models at the river-basin scale. / Andersen, J.; Sandholt, I.; Jensen, K. H.; Refsgaard, J. C.; Gupta, Hoshin Vijai.

In: Hydrological Processes, Vol. 16, No. 15, 30.10.2002, p. 2973-2987.

Research output: Contribution to journalArticle

Andersen, J. ; Sandholt, I. ; Jensen, K. H. ; Refsgaard, J. C. ; Gupta, Hoshin Vijai. / Perspectives in using a remotely sensed dryness index in distributed hydrological models at the river-basin scale. In: Hydrological Processes. 2002 ; Vol. 16, No. 15. pp. 2973-2987.
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