ICTS:30343

ML4M: Machine Learning for Monsoon

APA

(2024). ML4M: Machine Learning for Monsoon. SciVideos. https://youtube.com/live/Ggg419dF1Ks

MLA

ML4M: Machine Learning for Monsoon. SciVideos, Nov. 28, 2024, https://youtube.com/live/Ggg419dF1Ks

BibTex

          @misc{ scivideos_ICTS:30343,
            doi = {},
            url = {https://youtube.com/live/Ggg419dF1Ks},
            author = {},
            keywords = {},
            language = {en},
            title = {ML4M: Machine Learning for Monsoon},
            publisher = {},
            year = {2024},
            month = {nov},
            note = {ICTS:30343 see, \url{https://scivideos.org/index.php/icts-tifr/30343}}
          }
          
Adway Mitra
Talk numberICTS:30343
Source RepositoryICTS-TIFR

Abstract

Climate Scientists are increasingly turning to Machine Learning to answer various questions in their domain. In this talk, we will discuss a few typical problems related to Indian Monsoon, and discuss ML-based approaches for them. Specifically, we will focus on multi-scale forecasting, downscaling, and attribution to large-scale drivers.