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Titel |
Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia |
VerfasserIn |
R. R. E. Vernimmen, A. Hooijer, Mamenun, E. Aldrian, A. I. J. M. Dijk |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 1 ; Nr. 16, no. 1 (2012-01-12), S.133-146 |
Datensatznummer |
250013117
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Publikation (Nr.) |
copernicus.org/hess-16-133-2012.pdf |
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Zusammenfassung |
The accuracy of three satellite rainfall products (TMPA 3B42RT, CMORPH and
PERSIANN) was investigated through comparison with grid cell average ground
station rainfall data in Indonesia, with a focus on their ability to detect
patterns of low rainfall that may lead to drought conditions. Each of the
three products underestimated rainfall in dry season months. The CMORPH and
PERSIANN data differed most from ground station data and were also very
different from the TMPA 3B42RT data. It proved possible to improve TMPA
3B42RT estimates by applying a single empirical bias correction equation
that was uniform in space and time. For the six regions investigated, this
reduced the root mean square error for estimates of dry season rainfall
totals by a mean 9% (from 44 to 40 mm) and for annual totals by 14%
(from 77 to 66 mm). The resulting errors represent 10% and 3% of mean
dry season and annual rainfall, respectively. The accuracy of these bias
corrected TMPA 3B42RT data is considered adequate for use in real-time
drought monitoring in Indonesia. Compared to drought monitoring with only
ground stations, this use of satellite-based rainfall estimates offers
important advantages in terms of accuracy, spatial coverage, timeliness and
cost efficiency. |
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