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| Titel |
Evaluation of TRMM Multi-satellite Precipitation Analysis (TMPA) performance in the Central Andes region and its dependency on spatial and temporal resolution |
| VerfasserIn |
M. L. M. Scheel, M. Rohrer, Ch. Huggel, D. Santos Villar, E. Silvestre, G. J. Huffman |
| 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 ; 15, no. 8 ; Nr. 15, no. 8 (2011-08-25), S.2649-2663 |
| Datensatznummer |
250012932
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| Publikation (Nr.) |
 copernicus.org/hess-15-2649-2011.pdf |
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| Zusammenfassung |
Climate time series are of major importance for base line studies for
climate change impact and adaptation projects. However, for instance, in mountain regions
and in developing countries there exist significant gaps in ground based
climate records in space and time. Specifically, in the Peruvian Andes
spatially and temporally coherent precipitation information is a
prerequisite for ongoing climate change adaptation projects in the fields of
water resources, disasters and food security. The present work aims at
evaluating the ability of Tropical Rainfall Measurement Mission (TRMM)
Multi-satellite Precipitation Analysis (TMPA) to estimate precipitation
rates at daily 0.25° × 0.25° scale in the Central Andes and the
dependency of the estimate performance on changing spatial and temporal
resolution. Comparison of the TMPA product with gauge measurements in the
regions of Cuzco, Peru and La Paz, Bolivia were carried out and analysed
statistically. Large biases are identified in both investigation areas in
the estimation of daily precipitation amounts. The occurrence of strong
precipitation events was well assessed, but their intensities were
underestimated. TMPA estimates for La Paz show high false alarm ratio.
The dependency of the TMPA estimate quality with changing resolution was
analysed by comparisons of 1-, 7-, 15- and 30-day sums for Cuzco, Peru. The
correlation of TMPA estimates with ground data increases strongly and almost
linearly with temporal aggregation. The spatial aggregation to 0.5°,
0.75° and 1° grid box averaged precipitation and its comparison to
gauge data of the same areas revealed no significant change in correlation
coefficients and estimate performance.
In order to profit from the TMPA combination product on a daily basis, a
procedure to blend it with daily precipitation gauge measurements is
proposed.
Different sources of errors and uncertainties introduced by the sensors,
sensor-specific algorithm aspects and the TMPA processing scheme are
discussed. This study reveals the possibilities and restrictions of the use
of TMPA estimates in the Central Andes and should assist other researchers
in the choice of the best resolution-accuracy relationship according to
requirements of their applications. |
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