Evaluating sampling error in TRMM/PR rainfall products by the bootstrap method: Estimation of the sampling error and its application to a trend analysis
Guardado en:
| Publicado en: | Journal of Geophysical Research. Atmospheres vol. 115, no. 22 (2010), p. n/a |
|---|---|
| Autor principal: | |
| Otros Autores: | , , |
| Publicado: |
Blackwell Publishing Ltd.
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 912834116 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2169-897X | ||
| 022 | |a 2169-8996 | ||
| 024 | 7 | |a 10.1029/2010JD014257 |2 doi | |
| 035 | |a 912834116 | ||
| 045 | 2 | |b d20101115 |b d20101130 | |
| 084 | |a 110534 |2 nlm | ||
| 100 | 1 | |a Iida, Yasuhisa | |
| 245 | 1 | |a Evaluating sampling error in TRMM/PR rainfall products by the bootstrap method: Estimation of the sampling error and its application to a trend analysis | |
| 260 | |b Blackwell Publishing Ltd. |c 2010 | ||
| 513 | |a Feature | ||
| 520 | 3 | |a This study examines a trend in the 7-year seasonal (i.e., trimonthly) rainfall amounts (September 2001 to August 2008) observed by the TRMM Precipitation Radar (PR). The PR-observed rainfall amounts averaged in the range of 36°S to 36°N tend to increase slightly over this period. This tendency can be caused not only by natural variations but also by sampling errors (random errors) due to the PR's sparse observations in time. To separate the natural variations from the sampling errors, we developed a method of evaluating the sampling errors by a bootstrap method using the actual data observed by the PR. This method enables an evaluation of regional difference and characteristics of the sampling error in 5° grid boxes. As an application of the simulated sampling errors, we tested the significance of the trends in the averaged rainfall amounts by using Akaike's Information Criterion (AIC) and concluded that the positive trends were significant in all three cases; the trend in rainfall amounts averaged over all observed area (0.283 mm (3 months)2), that over land (0.518 mm (3 months)2) and that over the ocean (0.208 mm (3 months)2). We also tested the significance of the trends in the individual 5° grid boxes during this period and found that regions with the largest trends correspond to those in which the earlier studies have found the precipitation patterns caused by the El Niño-Southern Oscillation (ENSO). | |
| 653 | |a Hydrology | ||
| 653 | |a Remote sensing | ||
| 653 | |a Precipitation | ||
| 653 | |a Doppler radar | ||
| 653 | |a Atmospheric sciences | ||
| 653 | |a Climate change | ||
| 653 | |a Geophysics | ||
| 653 | |a Uncertainty | ||
| 653 | |a Southern Oscillation | ||
| 653 | |a Rainfall | ||
| 653 | |a El Nino | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Kubota, Takuji | |
| 700 | 1 | |a Iguchi, Toshio | |
| 700 | 1 | |a Oki, Riko | |
| 773 | 0 | |t Journal of Geophysical Research. Atmospheres |g vol. 115, no. 22 (2010), p. n/a | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/912834116/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/912834116/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/912834116/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |