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| Titel |
Evaluation of TRMM 3B42 precipitation estimates and WRF retrospective precipitation simulation over the Pacific–Andean region of Ecuador and Peru |
| VerfasserIn |
A. Ochoa, L. Pineda, P. Crespo, P. Willems |
| 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 ; 18, no. 8 ; Nr. 18, no. 8 (2014-08-25), S.3179-3193 |
| Datensatznummer |
250120444
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| Publikation (Nr.) |
 copernicus.org/hess-18-3179-2014.pdf |
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| Zusammenfassung |
The Pacific–Andean region in western South America suffers from rainfall
data scarcity, as is the case for many regions in the South. An important
research question is whether the latest satellite-based and numerical
weather prediction (NWP) model outputs capture well the temporal and spatial
patterns of rainfall over the region, and hence have the potential to compensate
for the data scarcity. Based on an interpolated gauge-based rainfall
data set, the performance of the Tropical Rainfall Measuring Mission (TRMM)
3B42 V7 and its predecessor V6, and the North Western South America
Retrospective Simulation (OA-NOSA30) are evaluated over 21 sub-catchments in
the Pacific–Andean region of Ecuador and Peru (PAEP).
In general, precipitation estimates from TRMM and OA-NOSA30 capture the
seasonal features of precipitation in the study area. Quantitatively, only
the southern sub-catchments of Ecuador and northern Peru
(3.6–6° S) are relatively well estimated by both products.
The accuracy is considerably less in the northern and central basins of
Ecuador (0–3.6° S). It is shown that the probability of
detection (POD) is better for light precipitation (POD decreases from 0.6
for rates less than 5 mm day−1 to 0.2 for rates higher than 20 mm day−1. Compared to its predecessor, 3B42 V7 shows modest
region-wide improvements in reducing biases. The improvement is specific to the coastal
and open ocean sub-catchments. In view of hydrological applications, the
correlation of TRMM and OA-NOSA30 estimates with observations increases with
time aggregation. The correlation is higher for the monthly time aggregation
in comparison with the daily, weekly, and 15-day time scales. Furthermore,
it is found that TRMM performs better than OA-NOSA30 in generating the
spatial distribution of mean annual precipitation. |
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