Model relating humidity and intensity of satellite infrared imagery for global precipitation nowcasting
by L.V. Narasimha Prasad; Mannava Munirathnam Naidu; K. Prudhvi Kumar Reddy
International Journal of Hydrology Science and Technology (IJHST), Vol. 4, No. 4, 2014

Abstract: The satellite imagery-based hydro image processing (SIHIP) model elucidates a new precipitation nowcasting methodology by relating humidity and intensity of satellite infrared image. With this relation, the relative humidity can be quickly and reliably estimated in near real-time to eliminate the need for site-specific radiosonde. The algorithm uses clustering technique to separate the cloud texture from the ground surface textures and Haar wavelet to obtain its mean wavelength. This wavelength is used to obtain a relation between a real time entity and the observed entity, which affects the precipitation. SIHIP focuses on convective and precipitating clouds over the Indian subcontinent region for the periods June-September 2012 and 2013. It has undergone a rigorous test for validation on real time data from NASA Global Precipitation Measurement mission. The results of the SIHIP model reflect a significant improvement over existing global satellite precipitation nowcasting algorithms with a success rate of 95.14%.

Online publication date: Wed, 15-Apr-2015

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