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Sandeep Chinta
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Determining the sensitive parameters of the Weather Research and Forecasting (WRF) model for the simulation of tropical cyclones in the Bay of Bengal using global sensitivity …
H Baki, S Chinta, C Balaji, B Srinivasan
Geoscientific Model Development 15 (5), 2133-2155, 2022
24*2022
Impact of cloud parameterization schemes on the simulation of cyclone Vardah using the WRF model
CPR Sandeep, C Krishnamoorthy, C Balaji
Current Science 115 (6), 1143-1153, 2018
232018
Assessment of WRF model parameter sensitivity for high‐intensity precipitation events during the Indian summer monsoon
S Chinta, J Yaswanth Sai, C Balaji
Earth and Space Science 8 (6), e2020EA001471, 2021
202021
Calibration of WRF model parameters using multiobjective adaptive surrogate model-based optimization to improve the prediction of the Indian summer monsoon
S Chinta, C Balaji
Climate Dynamics 55 (3), 631-650, 2020
192020
A sensitivity study of WRF model microphysics and cumulus parameterization schemes for the simulation of tropical cyclones using GPM radar data
H Baki, S Chinta, C Balaji, B Srinivasan
Journal of Earth System Science 130, 1-30, 2021
132021
Three-dimensional Rayleigh–Bénard convection of molten gallium in a rotating cuboid under the influence of a vertical magnetic field
SK Jena, VKR Yettella, CPR Sandeep, SK Mahapatra, AJ Chamkha
International Journal of Heat and Mass Transfer 78, 341-353, 2014
92014
Parameter Calibration to Improve the Prediction of Tropical Cyclones over the Bay of Bengal using Machine Learning-based Multi-Objective Optimization
H Baki, S Chinta, C Balaji, B Srinivasan
Journal of Applied Meteorology and Climatology 61 (7), 819 - 837, 2022
82022
Machine learning based parameter sensitivity of regional climate models–A case study of the WRF model for heat extremes over Southeast Australia
PJ Reddy, S Chinta, RJ Matear, J Taylor, H Baki, MJ Thatcher, J Kala, ...
Environmental Research Letters 19 (1), 014010, 2023
22023
Sensitivity Analysis and Uncertainty Quantification of E3SM Methane model using Machine Learning
S Chinta, X Gao, Q Zhu
AGU Fall Meeting Abstracts 2022, B16D-02, 2022
12022
Gaussian process regression-based Bayesian optimisation (G-BO) of model parameters-a WRF model case study of southeast Australia heat extremes
PJ Reddy, S Chinta, H Baki, RJ Matear, J Taylor
Authorea Preprints, 2024
2024
How do winter-time extratropical cyclones change in the future over South Africa?
S Chinta, A Schlosser, X Gao, K Hodges
EGU24, 2024
2024
Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions
S Chinta, X Gao, Q Zhu
MIT Joint Program on the Science and Policy of Global Change Report 370, 2024
2024
Fine-Tuning Extreme Rainfall Predictions: A Machine Learning Approach
S Chinta, H Baki, C Balaji, B Srinivasan
Ane Books, 2024
2024
Machine Learning Assisted Bayesian Calibration of Model Physics Parameters for Wetland Methane Emissions: A Case Study at a FLUXNET-CH4 Site
S Chinta, X Gao, Q Zhu
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning, 2023
2023
PAUNet: Precipitation Attention-based U-Net for rain prediction from satellite radiance data
P Jyoteeshkumar Reddy, H Baki, S Chinta, R Matear, J Taylor
NeurIPS 2023 Competition Track - Weather4cast, 2023
2023
Hybrid assimilation on a parameter-calibrated model to improve the prediction of heavy rainfall events during the Indian summer monsoon
S Chinta, VS Prasad, C Balaji
Current Science 124 (6), 693-703, 2023
2023
Use of Machine Learning algorithms in evaluating the WRF model parameter sensitivity for the simulation of tropical cyclones
B Harish, S Chinta, C Balaji, B Srinivasan
EGU General Assembly Conference Abstracts, EGU21-5826, 2021
2021
Impact of Assimilation of AMSU-A Radiances using GSI Based Hybrid EnVar System on Short Range Forecast of Indian Monsoon
S Chinta, C Balaji, VS Prasad
2019 Joint Satellite Conference, 2019
2019
Impact of All-Sky Microwave Radiance Assimilation of Megha-Tropiques SAPHIR Data on Short-Range Weather Forecasts
PRS Chinta, C Balaji
99th American Meteorological Society Annual Meeting, 2019
2019
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