J
J. V. Revadekar
Researcher at Indian Institute of Tropical Meteorology
Publications - 57
Citations - 6991
J. V. Revadekar is an academic researcher from Indian Institute of Tropical Meteorology. The author has contributed to research in topics: Monsoon & Precipitation. The author has an hindex of 23, co-authored 57 publications receiving 5976 citations.
Papers
More filters
Journal ArticleDOI
Extremes in summer monsoon precipitation over India during 2001-2009 using CPC high-resolution data
TL;DR: In this paper, the authors analyzed the spatiotemporal variability of various indices of precipitation extremes during the summer monsoon season of the Indian subcontinent and showed that the mean and extremes in rainfall are captured well by the high-resolution Climate Prediction Center (CPC) merged daily precipitation estimates.
Journal ArticleDOI
The impact of seasonal rainfall variability on NDVI in the Tunga and Bhadra river basins, Karnataka, India
TL;DR: In this paper, the authors analyzed a 7-year time series of the Moderate Resolution Imaging Spectroradiometer normalized difference vegetation index (NDVI) and Tropical Rainfall Measuring Mission 3B42 rainfall data and found that rainfall exerts seasonal control on vegetation greenness.
Book ChapterDOI
Temperature Changes in India
Journal ArticleDOI
Latitudinal variation in summer monsoon rainfall over Western Ghat of India and its association with global sea surface temperatures.
TL;DR: It has been observed that Indian Ocean Dipole (IOD) plays a dominant positive role in rainfall over entire WG in all summer monsoon months, whereas role of Nino regions are asymmetric over WG rainfall.
Journal ArticleDOI
Intra-seasonal variability of atmospheric CO2 concentrations over India during summer monsoons
K. Ravi Kumar,K. Ravi Kumar,Vinu Valsala,Yogesh K. Tiwari,J. V. Revadekar,Prasanth A. Pillai,Supriyo Chakraborty,Raghu Murtugudde +7 more
TL;DR: In this article, the authors investigate the intraseasonal variability in the atmospheric CO2 concentrations over India by utilizing a combination of ground-based and satellite observations and model outputs.