 |
| Titel |
Validation study of TMPA 3B42V6 in a typical alpine and gorge region: Jinsha River basin, China |
| VerfasserIn |
Y. C. Yang, G. W. Cheng, J. H. Fan, W. P. Li, J. Sun, Y. K. Sha |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 12 ; Nr. 13, no. 12 (2013-12-23), S.3479-3492 |
| Datensatznummer |
250085599
|
| Publikation (Nr.) |
 copernicus.org/nhess-13-3479-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| Because of density and distribution flaws inherent with in
situ rainfall measurements, satellite-based rainfall products, especially
the Tropical Rainfall Measuring Mission (TRMM), were expected to offer an
alternative or complement for modeling of hydrological processes and water
balance analysis. This study aims at evaluating the validity of a standard
product, the TRMM Multi-satellite Precipitation Analysis (TMPA) 3B42V6, by
comparing it with in situ ground gauge datasets on a typical alpine and
gorge region in China, the Jinsha River basin. The validation study involved
the performance of the 3B42V6 product on 3 h, daily and monthly temporal scales.
Statistical analysis methods were used for rainfall and rain event
estimation. The results affirmed that the 3B42V6 product demonstrated increasing
accuracy when the temporal scales were increased from 3 h to daily to
monthly. The mean correlation coefficient of rainfall time series between
the 3B42V6 product and the gauge over the Jinsha River basin reached 0.34 on the
3 h scale, 0.59 on the daily scale, and 0.90 on the monthly scale. The
mean probability of detection (POD) of the 3B42V6 product reached 0.34 on the 3 h
scale and 0.63 on the daily scale. The 3B42V6 product of 80.4% of stations obtained
an acceptable bias (± 25%) over the investigation area. A threshold
of nearly 5.0 mm d−1 in daily rainfall intensity split the
3B42V6 product into overestimates (< 5.0 mm d−1) and
underestimates (> 5.0 mm d−1). The terrain
elements of altitude, longitude, and latitude were the major influencing
factors for 3B42V6 performance. In brief, the 3B42V6 dataset has great
potential for research on hydrologic processes, especially daily or large temporal scale. As for fine temporal scale applications,
such as flood predictions based on a 3 h scale dataset, it is necessary
to conduct adjustments or to combine the 3B42V6 product with gauges to be
more accurate regarding the issues in the study area or in analogous regions
with complicated terrains. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|