Calibration of a parsimonious distributed ecohydrological daily model in a data-scarce basin by exclusively using the spatio-temporal variation of NDVI

Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatio-temporal...

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Vydáno v:Hydrology and earth system sciences Ročník 21; číslo 12; s. 6235 - 6251
Hlavní autoři: Ruiz-Pérez, Guiomar, Koch, Julian, Manfreda, Salvatore, Caylor, Kelly, Francés, Félix
Médium: Journal Article
Jazyk:angličtina
Vydáno: Katlenburg-Lindau Copernicus GmbH 08.12.2017
Copernicus Publications
Témata:
Basins (Geology)
Calibration
Data
Data processing
Developing countries
Dynamics
Ecohydrology
Ecology
Ekologi
Frameworks
Hydrology
LDCs
Modelling
MODIS
Natural history
Normalized difference vegetative index
Oceanografi, hydrologi, vattenresurser
Oceanography, Hydrology, Water Resources
Orthogonal functions
Outlets
Procedures
Remote sensing
River basins
Rivers
Satellite data
Satellites
Stream flow
Temporal variations
Vegetation
Vegetation dynamics
Vegetation index
Africa
ISSN:1607-7938, 1027-5606, 1607-7938
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Shrnutí:Ecohydrological modeling studies in developing countries, such as sub-Saharan Africa, often face the problem of extensive parametrical requirements and limited available data. Satellite remote sensing data may be able to fill this gap, but require novel methodologies to exploit their spatio-temporal information that could potentially be incorporated into model calibration and validation frameworks. The present study tackles this problem by suggesting an automatic calibration procedure, based on the empirical orthogonal function, for distributed ecohydrological daily models. The procedure is tested with the support of remote sensing data in a data-scarce environment – the upper Ewaso Ngiro river basin in Kenya. In the present application, the TETIS-VEG model is calibrated using only NDVI (Normalized Difference Vegetation Index) data derived from MODIS. The results demonstrate that (1) satellite data of vegetation dynamics can be used to calibrate and validate ecohydrological models in water-controlled and data-scarce regions, (2) the model calibrated using only satellite data is able to reproduce both the spatio-temporal vegetation dynamics and the observed discharge at the outlet and (3) the proposed automatic calibration methodology works satisfactorily and it allows for a straightforward incorporation of spatio-temporal data into the calibration and validation framework of a model.
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ISSN:1607-7938
1027-5606
1607-7938
DOI:10.5194/hess-21-6235-2017