NDLI: Evaluation of Satellite Retrieval Algorithm to Ground Rainfall Estimates Over Malaysia

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Evaluation of Satellite Retrieval Algorithm to Ground Rainfall Estimates Over Malaysia

Content Provider	Springer Nature Link
Author	Semire, F. A. Mohd Mokhtar, R.
Copyright Year	2016
Abstract	Satellite precipitation data is an indirect measurement for land and water area over the globe. The information from this data is important especially to the area where direct rain gauge measurement is limited. However, the precipitation estimates require calibration and validation to assure the accuracy. Satellite rainfall estimations together with comprehensive ground validation and calibration have been found to offer good prospect for accurate and global rainfall database especially for remote areas and large bodies of water. This work presents performance evaluation of TRMM 3B43 V7 rainfall retrieval algorithms over Malaysia. Inter-comparison and validation of TRMM 3B43 V7 rainfall product with ground measurement is analysed statistically. The result of continuous statistical evaluation shows good agreement, in which, the best correlation for the algorithm 3B43 versus rain gauge is 0.9384. At lower percentage bias threshold, the 2 by 2 categorical statistic of rain or no rain occurrence for annual estimation reveals lower value of probability of detection and higher value of false alarm ratio. However, reverse results are shown at higher bias threshold. The accuracy of the algorithm for a threshold of 1–10 % which falls within International Telecommunication Union—Radio recommendation for radio propagation to discriminate between rain and no rain is 0.53, 0.49 and 0.48 for annual, monthly and wet season, respectively. From analysis, the categorical statistical approach has been able to reveal the level of accuracy of the algorithms as applicable to detection and estimation of rainfall.
Starting Page	177
Ending Page	187
Page Count	11
File Format	PDF
ISSN	09703950
Journal	MAPAN
Volume Number	31
Issue Number	3
e-ISSN	09749853
Language	English
Publisher	Springer India
Publisher Date	2016-04-16
Publisher Institution	Metrology Society of India
Publisher Place	New Delhi
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	TRMM 3B43 Satellite rainfall Categorical analysis Measurement Science and Instrumentation Theoretical, Mathematical and Computational Physics Mathematical Methods in Physics Numerical and Computational Physics
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy

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