EPSAT-SG: a satellite method for precipitation estimation; its concepts and implementation for the AMMA experiment
This paper presents a new rainfall estimation method, EPSAT-SG which is a frame for method design. The first implementation has been carried out to meet the requirement of the AMMA database on a West African domain. The rainfall estimation relies on two intermediate products: a rainfall probabil...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2010-01-01
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| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/28/289/2010/angeo-28-289-2010.pdf |
| Summary: | This paper presents a new rainfall estimation method, EPSAT-SG which is a
frame for method design. The first implementation has been carried out to
meet the requirement of the AMMA database on a West African domain. The
rainfall estimation relies on two intermediate products: a rainfall
probability and a rainfall potential intensity. The first one is computed
from MSG/SEVIRI by a feed forward neural network. First evaluation results
show better properties than direct precipitation intensity assessment by
geostationary satellite infra-red sensors. The second product can be
interpreted as a conditional rainfall intensity and, in the described
implementation, it is extracted from GPCP-1dd. Various implementation
options are discussed and comparison of this embedded product with 3B42
estimates demonstrates the importance of properly managing the temporal
discontinuity. The resulting accumulated rainfall field can be presented as
a GPCP downscaling. A validation based on ground data supplied by AGRHYMET
(Niamey) indicates that the estimation error has been reduced in this
process. The described method could be easily adapted to other geographical
area and operational environment. |
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| ISSN: | 0992-7689 1432-0576 |