Park, H., Kim, J., Choi, H., Geum, S., Kim, Y., Thompson, R. L., Mühle, J., Salameh, P. K., Harth, C. M., Stanley, K. M., O'Doherty, S., Fraser, P. J., Simmonds, P. G., Krummel, P. B., Weiss, R. F., Prinn, R. G., and Park, S.: A rise in HFC-23 emissions from eastern Asia since 2015, Atmos. Chem. Phys., 23, 9401–9411, https://doi.org/10.5194/acp-23-9401-2023, 2023.
Leonard Kirago, Örjan Gustafsson, Samuel M. Gaita, Sophie L. Haslett, H. Langley deWitt, Jimmy Gasore, Katherine E. Potter, Ronald G. Prinn, Maheswar Rupakheti, Jean de Dieu Ndikubwimana, Bonfils Safari, and August Andersson
Dr. Chinta's work focuses on using machine learning methods and observations to improve the parameterization of the land surface biogeochemistry model and to understand the key processes and controls underlying methane emissions. He conducts modeling experiments with the state-of-the-art methane biogeochemistry model (i.e., CESM2 community land model). He uses machine learning to emulate model-simulated methane emissions for model sensitivity analysis and parameter calibration. He has previously worked on improving the short-range prediction of heavy rainfall events during Indian monsoon and tropical cyclones using data assimilation and machine learning.