CSIR Fourth Paradigm Institute
(Formerly CSIR Centre for Mathematical Modelling and Computer Simulation)
A constituent laboratory of Council of Scientific & Industrial Research (CSIR).
Dr. Kantha Rao Bhimala
Research Interests
Weather and Climate Modelling
Vector-borne disease Modelling
Big Data
|
Degree |
Year |
Subject |
University/Institution |
1 |
SSC |
1998 |
Mathematics, Science |
SSC Board, Andhra Pradesh |
1 |
Intermediate |
2000 |
Mathematics, Physics, Chemistry |
Board of Intermediate, Andhra Pradesh |
2 |
B.Sc. |
2003 |
Mathematics, Physics, Chemistry |
Nagarjuna University, Andhra Pradesh |
3 |
M.Sc. |
2006 |
Meteorology |
Andhra University, Vishakhapatnam |
4 |
Ph.D. |
2018 |
Physics |
Mangalore University |
|
Position held |
Name of the Institute |
From |
To |
1. |
Project Assistant |
CSIR-NIO, Goa
|
2006 |
2008 |
2. |
Junior Research Fellow |
SAC,ISRO, Ahmedabad |
2008 |
2009 |
3. |
Jr. Scientist |
CSIR-4PI |
2009 |
2012 |
4 |
Scientist |
CSIR-4PI |
2012 |
2016 |
5 |
Sr. Scientist |
CSIR-4PI |
2016 |
Till date |
Goswami, Prashant, and B. Kantha Rao. "Simulation of heavy rainfall events over Indian region: a benchmark skill with a GCM." Climate dynamics 45.7-8 (2015): 1899-1911.
Bhimala, Kantha Rao, and Prashant Goswami. "A Comparison of ASCAT Soil Moisture Data with In-Situ Observations over the Indian Region: A Multiscale Analysis." IEEE Transactions on Geoscience and Remote Sensing 53.10 (2015): 5425-5434.
Rakesh, V., and B. Kantharao. "Impact of Assimilation on Heavy Rainfall Simulations Using WRF Model: Sensitivity of Assimilation Results to Background Error Statistics." Pure and Applied Geophysics 174.3 (2017): 1385-1398.
Kantharao, B., and V. Rakesh. "Observational evidence for the relationship between spring soil moisture and June rainfall over the Indian region." Theoretical and applied climatology 132.3-4 (2018): 835-849.
Rao, B. Kantha, and V. Rakesh. "Evaluation of WRF-simulated multilevel soil moisture, 2-m air temperature, and 2-m relative humidity against in situ observations in India." Pure and Applied Geophysics (2018): 1-20.
Kakarla, Satya Ganesh, et al. "Temperature dependent transmission potential model for chikungunya in India." Science of the total environment 647 (2019): 66-74.
Himesh, S., et al. "Digital revolution and Big Data: a new revolution in agriculture." CAB Reviews 13.021 (2018): 1-7.
Bhimala, K. R., Rakesh, V., Prasad, K. R., & Mohapatra, G. N. (2020). Identification of vegetation responses to soil moisture, rainfall, and LULC over different meteorological subdivisions in India using remote sensing data. Theoretical and Applied Climatology, 142(3), 987-1001.
Kakarla, S. G., Bhimala, K. R., Kadiri, M. R., Kumaraswamy, S., & Mutheneni, S. R. (2020). Dengue situation in India: Suitability and transmission potential model for present and projected climate change scenarios. Science of The Total Environment, 739, 140336.
The above information is provided by the concerned staff/employee on December 16, 2020.