Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data

Routine information on regional evapotranspiration (ET) and dryness index is essential for agricultural water management, drought monitoring, and studies of water cycle and climate. However, this information is not currently available for the East Africa highlands. The main purpose of this study is...

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Main Authors: Z. Sun, M. Gebremichael, J. Ardö, H. A. R. de Bruin
Format: Article
Language:English
Published: Copernicus Publications 2011-01-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/15/163/2011/hess-15-163-2011.pdf
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spelling doaj-7b2553e82c6a40b191bffaf89c0c58992020-11-24T22:41:37ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382011-01-0115116317010.5194/hess-15-163-2011Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI dataZ. SunM. GebremichaelJ. ArdöH. A. R. de BruinRoutine information on regional evapotranspiration (ET) and dryness index is essential for agricultural water management, drought monitoring, and studies of water cycle and climate. However, this information is not currently available for the East Africa highlands. The main purpose of this study is to develop (1) a new methodology that produces spatially gridded daily ET estimates on a (near) real-time basis exclusively from satellite data, and (2) a new dryness index that depends only on satellite data and weather forecast data. The methodology that calculates daily actual ET involves combining data from two sensors (MODIS and SEVIRI) onboard two kinds of platforms (Terra – polar orbit satellite and MSG – geostationary orbit satellite). The methodology is applied to the East African highlands, and results are compared to eddy covariance measurements at one site. Results show that the methodology produces ET estimates that accurately reproduce the daily fluctuation in ET but tends to underestimate ET on the average. It is concluded that the synergistic use of the polar-orbiting MODIS data and the geostationary-orbiting SEVIRI data has potential to produce reliable daily ET, but further research is needed to improve the accuracy of the results. This study also proposes an operational new dryness index that can be calculated from the satellite-based daily actual ET estimates and daily reference ET estimates based on SEVIRI data and weather forecast air temperature. Comparison of this index against ground measurements of daily actual ET at one site indicates that the new dryness index can be used for drought monitoring. http://www.hydrol-earth-syst-sci.net/15/163/2011/hess-15-163-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Z. Sun
M. Gebremichael
J. Ardö
H. A. R. de Bruin
spellingShingle Z. Sun
M. Gebremichael
J. Ardö
H. A. R. de Bruin
Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data
Hydrology and Earth System Sciences
author_facet Z. Sun
M. Gebremichael
J. Ardö
H. A. R. de Bruin
author_sort Z. Sun
title Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data
title_short Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data
title_full Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data
title_fullStr Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data
title_full_unstemmed Mapping daily evapotranspiration and dryness index in the East African highlands using MODIS and SEVIRI data
title_sort mapping daily evapotranspiration and dryness index in the east african highlands using modis and seviri data
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2011-01-01
description Routine information on regional evapotranspiration (ET) and dryness index is essential for agricultural water management, drought monitoring, and studies of water cycle and climate. However, this information is not currently available for the East Africa highlands. The main purpose of this study is to develop (1) a new methodology that produces spatially gridded daily ET estimates on a (near) real-time basis exclusively from satellite data, and (2) a new dryness index that depends only on satellite data and weather forecast data. The methodology that calculates daily actual ET involves combining data from two sensors (MODIS and SEVIRI) onboard two kinds of platforms (Terra – polar orbit satellite and MSG – geostationary orbit satellite). The methodology is applied to the East African highlands, and results are compared to eddy covariance measurements at one site. Results show that the methodology produces ET estimates that accurately reproduce the daily fluctuation in ET but tends to underestimate ET on the average. It is concluded that the synergistic use of the polar-orbiting MODIS data and the geostationary-orbiting SEVIRI data has potential to produce reliable daily ET, but further research is needed to improve the accuracy of the results. This study also proposes an operational new dryness index that can be calculated from the satellite-based daily actual ET estimates and daily reference ET estimates based on SEVIRI data and weather forecast air temperature. Comparison of this index against ground measurements of daily actual ET at one site indicates that the new dryness index can be used for drought monitoring.
url http://www.hydrol-earth-syst-sci.net/15/163/2011/hess-15-163-2011.pdf
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