Inter - Annual Variability of Snow Covered Regions Using SSM/I Data

Alok Kumar Sahoo MTech (Civil Engineering)

ABSTRACT

Microwave remote sensing is successfully being used for monitoring numerous parameters of the Earth, ocean and snow surfaces. Large volume of active and passive microwave remote sensing data over the globe is now available and is being used by the scientists for deducing various surface and atmospheric parameters. In India, the use of microwave remote sensing data are very much limited. Looking at the potentiality of microwave remote sensing data, an effort has been made to analyze Special Sensor Microwave Imager (SSM/I) data over the snow region. The SSM/I was developed as a part of Defence Meteorological Satellite Program (DMSP) and was launched on board of the DMSP - F8 satellite, which measures the thermally emitted radiation from the Earth surface and atmosphere at four frequencies 19, 22, 37, 85 GHz with both horizontal and vertical polarizations except 22 GHz that works only for vertical polarization. The brightness temperature data is analyzed monthly at some particular locations on the Himalayan region of India to deduce various surface and atmospheric parameters. The brightness temperature gives characteristic surface signature. Time series analysis of all the snow parameters (SCAT, TPW, LWP, ST and SWE) at those particular locations over the Himalayan region have been carried out during January 1989 - December 1998. An attempt has been made to correlate the snow parameters with the Indian Ocean - Sea Surface Temperature (IO-SST) and El-Nino Southern Oscillation (ENSO) to study the role of Indian monsoon on the Himalayan snow field. The present thesis will be useful in understanding the snow fall and its relation with the monsoon and sea surface temperature.