V. Sathiyamoorthy

TL;DR: In this article, four independently developed multisatellite high-resolution precipitation products (HRPPs), namely Climate Prediction Center Morphing (CMORPH) version 1.0, Naval Research Laboratory (NRL)−blended, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and Tropical Rainfall Measuring Mission (TRMM) Multisatellite PrecIPitation Analysis (TMPA) 3B42 version 7 are compared with quality-controlled gridded rain gauge data over India developed by the India Meteorologica

TL;DR: In this paper, the authors investigated the reason for the unusually large high-cloud amount in the Asian monsoon region during the summer monsoon season (June-September) using the top-of-the-atmosphere radiative flux and cloud data from satellites, as well as atmospheric data from NCEP-NCAR reanalysis.

TL;DR: In this paper, the authors analyzed 12-year (1979-1990) 200 hPa wind data from National Centers for Environmental Prediction-National Center for Atmospheric Research reanalysis, and demonstrated that the intraseasonal time scale (30-60 days) variability of the Tropical Easterly Jet (TEJ) reported in individual case studies occurs during most years.

TL;DR: In this article, a bispectral thresholding technique involving brightness temperature difference (BTD) between two spectral channels: 3.9 and 10.75 µm, combining radiative transfer simulations and satellite data was used to study 2009 and 2010 fog episodes over the North Indian plains.

TL;DR: In this article, the authors studied low clouds over the Arabian Sea using the Kalpana-1 satellite data and International Satellite Cloud Climatology Project cloud data and found that low cloud cover is inversely related to the Indian summer monsoon activity.