| 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 | 23 | 2018 |
| 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 | 20 | 2021 |
| 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 | 19 | 2020 |
| 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 | 13 | 2021 |
| 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 | 9 | 2014 |
| 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 | 8 | 2022 |
| 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 | 2 | 2023 |
| 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 | 1 | 2022 |
| 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 |
Balaji CT.T. Narendran Institute Chair Professor, Department of Mechanical Engineering, IIT Madras, India在 iitm.ac.in 的电子邮件经过验证
