 |
| Titel |
Variability of rainfall in Suriname and the relation with ENSO-SST and TA-SST |
| VerfasserIn |
R. J. Nurmohamed, S. Naipal |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1680-7340
|
| Digitales Dokument |
URL |
| Erschienen |
In: 1st Alexander von Humboldt International Conference ; Nr. 6 (2006-01-09), S.77-82 |
| Datensatznummer |
250003241
|
| Publikation (Nr.) |
 copernicus.org/adgeo-6-77-2006.pdf |
|
|
|
|
|
| Zusammenfassung |
| Spatial correlations in the annual rainfall anomalies are analyzed using
principle component analyses (PCA). Cross correlation analysis and
composites are used to measure the influence of sea surface temperatures
anomalies (SSTAs) in the tropical Atlantic and tropical Pacific Ocean with
the seasonal rainfall in Suriname. The spatial and time variability in
rainfall is mainly determined by the meridional movement of the
Inter-tropical Convergence Zone (ITCZ). Rainfall anomalies tend to occur
fairly uniformly over the whole country. In December-January (short wet
season), there is a lagged correlation with the SSTAs in the Pacific region
(clag3Nino1+2=-0.63). The strongest correlation between the
March-May rainfall (beginning long wet season) and the Pacific SSTAs is
found with a correlation coefficient of ckNino1+2=0.59 at lag
1 month. The June-August rainfall (end part of long wet season) shows the
highest correlation with SSTAs in the TSA region and is about c=-0.52 for
lag 0. In the September-November long dry season there is also a lagged
correlation with the TSA SSTAs of about clag3=0.66. The different
correlations and predictors can be used for seasonal rainfall predictions. |
| |
|
| Teil von |
|
|
|
|
|
|
|