Publications: Chinta, Sandeep

Journal Article
Gaussian process regression-based Bayesian optimisation (G-BO) of model parameters – a WRF model case study of southeast Australia heat extremes

Reddy, P.J., S. Chinta, H. Baki, R. Matear and J. Taylor (2024).
Geophysical Research Letters , 51(17) (doi: 10.1029/2024GL111074)

Journal Article
Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions

Chinta, S., X. Gao and Q. Zhu (2024).
Journal of Advances in Modeling Earth Systems, 16(7) (doi: 10.1029/2023MS004115)

Conference Proceedings Paper
How do winter-time extratropical cyclones change in the future over South Africa?

Chinta, S., C.A. Schlosser, X. Gao and K. Hodges (2024).
EGU General Assembly, EGU24-20374 (doi: 10.5194/egusphere-egu24-20374)

Journal Article
Machine learning based parameter sensitivity of regional climate models—a case study of the WRF model for heat extremes over Southeast Australia

Reddy, P.J., S. Chinta, et. al. (2024).
Environmental Research Letters, 19, 014010 (doi: 10.1088/1748-9326/ad0eb0)

Joint Program Report
Machine Learning Driven Sensitivity Analysis of E3SM Land Model Parameters for Wetland Methane Emissions
Report 370

Chinta, S., X. Gao and Q. Zhu (2024).
Joint Program Report Series, March, 17 p. [Download]

Conference Proceedings Paper
Sensitivity Analysis and Uncertainty Quantification of E3SM Methane model using Machine Learning

Chinta, S., X. Gao and Q. Zhu (2023).
American Geophysical Union (AGU) Fall Meeting, B16D-02

Conference Proceedings Paper
Machine Learning Assisted Bayesian Calibration of Model Physics Parameters for Wetland Methane Emissions: A Case Study at a FLUXNET-CH4 Site

Chinta, S., X. Gao and Q. Zhu (2023).
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems, [Download]