Rain detection and measurement from Megha-Tropiques microwave sounder-SAPHIR
| Autor: | Pradip K. Pal, B. S. Gohil, A. K. Varma, D. N. Piyush, J. Srinivasan |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Meteorology Microwave radiometer 0211 other engineering and technologies 02 engineering and technology 01 natural sciences law.invention On board Geophysics Space and Planetary Science law Earth and Planetary Sciences (miscellaneous) Cyclone Environmental science Satellite Precipitation Radar Global Precipitation Measurement Microwave 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | Journal of Geophysical Research: Atmospheres. 121:9191-9207 |
| ISSN: | 2169-897X |
| DOI: | 10.1002/2016jd024907 |
| Popis: | The Megha-Tropiques, an Indo-French satellite, carries on board a microwave sounder, Sondeur Atmospherique du Profil d'Humidite Intertropical par Radiometrie (SAPHIR), and a microwave radiometer, Microwave Analysis and Detection of Rain and Atmospheric Structures (MADRAS), along with two other instruments. Being a Global Precipitation Measurement constellation satellite MT-MADRAS was an important sensor to study the convective clouds and rainfall. Due to the nonfunctioning of MADRAS, the possibility of detection and estimation of rain from SAPHIR is explored. Using near-concurrent SAPHIR and precipitation radar (PR) onboard Tropical Rainfall Measuring Mission (TRMM) observations, the rain effect on SAPHIR channels is examined. All the six channels of the SAPHIR are used to calculate the average rain probability (PR) for each SAPHIR pixel. Further, an exponential rain retrieval algorithm is developed. This algorithm explains a correlation of 0.72, RMS error of 0.75 mm/h, and bias of 0.04 mm/h. When rain identification and retrieval algorithms are applied together, it explains a correlation of 0.69 with an RMS error of 0.47 mm/h and bias of 0.01 mm/h. On applying the algorithm to the independent SAPHIR data set and compared with TRMM-3B42 rain on monthly scale, it explains a correlation of 0.85 and RMS error of 0.09 mm/h. Further distribution of rain difference of SAPHIR with other rain products is presented on global scale as well as for the climatic zones. For examining the capability of SAPHIR to measure intense rain, instantaneous rain over Phailin cyclone from SAPHIR is compared with other standard satellite-based rain products such as 3B42, Global Satellite Mapping of Precipitation, and Precipitation Estimation from Remote Sensing Information using Artificial Neural Network. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text