B M Rao
Articles written in Journal of Earth System Science
Volume 98 Issue 4 December 1989 pp 339-352
From the temperature and moisture retrievals from satellites, two types of indices were derived: one indicating suppression of convection and the other indicating organized deep convection. Sea surface skin temperature and equivalent potential temperatures up to 500 mbar level of the atmosphere, derived from TIROS-N satellite products, are the basis of the two indices. The maps of these indices for various phases of 1979 monsoon are compared with percentage cloudiness, a product also available from TIROS-N satellite observations. Despite the various limitations of satellite soundings, it is shown that these satellite-derived indices can be used to indicate the strengths of atmospheric convection and inversion over the oceans.
Volume 98 Issue 4 December 1989 pp 353-364
INSAT visible and infrared imageries of three cyclones in the Bay of Bengal during the period 1984–1987 were analysed with a view to improve the cyclone track prediction in this region. It was observed that the rotation in the major structural cloud features (as seen from the cloud-top temperature maps) associated with these cyclones in the Bay of Bengal is followed with a change in direction of their movement. This method is seen to be particularly effective when the cyclone is severe and when the major cloud features persist for a reasonably longer time. In the present study, only the direction of movement is forecast assuming a uniform speed of the cyclone.
Volume 119 Issue 6 December 2010 pp 775-781
Since the beginning of the summer monsoon 2009, experimental mesoscale weather forecasts in real time are being generated using WRF model by the Meteorology and Oceanography Group at the Space Applications Centre (ISRO)and are disseminated through MOSDAC (www.mosdac.gov.in) to various users. To begin with, the 12 h, 24 h and 48 h forecasts for the western India region are made available. A study is undertaken to comprehensively assess the cloudiness prediction performance of WRF model. The evaluations have been made over the three months period during monsoon 2009. INSAT cloud imagery data has been used as a reference for these evaluations. The veriﬁcation strategy includes computation of various skill scores. It is seen that probability of detection (POD)of cloud is 84% and the false alarm rate (FAR) is around 18%. It is hoped that this assessment will provide information on the use of these forecasts in various applications.
Volume 129, 2020
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