Modified Convective Stratiform Technique (CSTm) Performance on Rainfall Estimation in Indonesia
| Autor: | Bayong Tjasyono Hk, Endarwin Endarwin, S. Siswanto, Dodo Gunawan, Safwan Hadi |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Convection
Meteorology Mean squared error General Mathematics General Physics and Astronomy rainfall estimation General Biochemistry Genetics and Molecular Biology lcsh:Science lcsh:Science (General) CST Remote sensing Contingency table Multidisciplinary CSTm Pixel General Chemistry General Medicine Rainfall estimation infrared General Earth and Planetary Sciences Environmental science lcsh:Q General Agricultural and Biological Sciences passive microwave lcsh:Q1-390 Performance quality |
| Zdroj: | Journal of Mathematical and Fundamental Sciences, Vol 46, Iss 3, Pp 251-268 (2014) |
| ISSN: | 2338-5510 2337-5760 |
| DOI: | 10.5614/j.math.fund.sci.2014.46.3.4 |
| Popis: | This study has analyzed a rainfall estimation using a modified convective stratiform technique (CSTm). Unlike the original convective stratiform technique (CST), which only utilizes infrared (IR) data, CSTm applies not only IR data but also passive microwave (PMW) data. Two major modifications contained in CSTm are: (1) the application of a variability index (VI) method that uses PMW data to perform convective and stratiform separation, and (2) the ability to determine the average extensive coverage of the new areas of each pixel point as a result of the utilization of the PMW data. In this study, rainfall estimation was conducted for 23 points spread over four major islands in Indonesia. The estimation was performed based only on IR and PMW data obtained from coincident observations. For verification, the estimation results were compared with real observations. The main verification action conducted in this study used multi-category contingency tables for 4 categories and this action was supported by the root mean square error (RMSE) method. The verification results of the hourly estimation conducted for 4 days in early November 2011 showed that CSTm can effectively improve the performance quality of CST. |
| Databáze: | OpenAIRE |
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