Rainfall Vertical Profile Variability In Malaysia Based On Tropical Rainfall Measuring Mission (TRMM) Using NASA Data

Mahirah, Mansor Adabi (2014) Rainfall Vertical Profile Variability In Malaysia Based On Tropical Rainfall Measuring Mission (TRMM) Using NASA Data. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text (24 pages) Rainfall Vertical Profile Variability In Malaysia Based On Tropical Rainfall Measuring Mission (TRMM) Using NASA Data 24 Pages.pdf - Submitted Version Download (1MB)

Abstract

Rain along the transmission path is the major weather effect of concern for satellite communications operating at frequencies above 10GHz. Rain attenuation causes by absorb and scatter radio wave energy, which degrades the reliability and performances of the communications link. Furthermore, rain effect also depends on frequency, rain rate, drop size distribution and drop shape, which are determine by rain types. The precipitation radar (PR) on the Tropical Rainfall Measuring Mission (TRMM) satellites enables capture of the three-dimensional storm structure. Therefore vertical and horizontal distribution of rain are data wanted to investigate attenuation effect of rainfall rates, because the radar echo at the PR frequency of 13.8GHz suffer from significant attenuation. Two common rain types are convective rain and stratiform rain. The convective flows occur in a cell whose horizontal extent is usually several kilometers. For stratiform rain typically hundreds of kilometers cover large geographic areas durations exceeding one hour low rain rate. The estimation of rain height and rain rate attenuation required in the step by step calculation by ITU-R P.618-10. To observe the bright-band height is estimated from TRMM Precipitation Radar also relate in 2A23 and 2A25 algorithm. By assuming that lies 500 m above bright-band, the C isotherm height is calculated. Comparison with the TRMM collecting data shows quite good that indicates with ITU-R recommendation prediction model. This study shows better performances especially purpose of improving rain attenuation prediction model.

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