55 citations · 96 across the 3 of their papers we have counts for
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WRF model parameter calibration to improve the prediction of tropical cyclones over the Bay of Bengal using Machine Learning-based Multiobjective Optimization
Harish Baki, Sandeep Chinta, C. Balaji +1
The prediction skill of a numerical model can be enhanced by calibrating the sensitive parameters that significantly influence the model forecast. The objective of the present stud…
Determining the sensitive parameters of WRF model for the prediction of Tropical cyclones in Bay of Bengal using Global sensitivity analysis and Machine learning
Harish Baki, Sandeep Chinta, C. Balaji +1
The present study focuses on identifying the parameters from the Weather Research and Forecasting (WRF) model that strongly influence the prediction of tropical cyclones over the B…
Assessment of WRF model parameter sensitivity for high-intensity precipitation events during the Indian summer monsoon
Sandeep Chinta, Yaswanth Sai Jetti, C Balaji
Default values for many model parameters in Numerical Weather Prediction models are typically adopted based on theoretical or experimental investigations by scheme designers. Short…