<strong>Super-Resolution Surrogate Downscaling of MRI-ESM2(CMIP6) Black Carbon Surface Concentration Using Attention Based Convolutional Neural Networks</strong>

Kunal  Mishra

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-TT Technology &Techniques

[A-TT49] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

Wed. May 27, 2026 3:30 PM - 5:00 PM 101 (International Conference Hall, Makuhari Messe)

Chairperson:Martineau Patrick(Japan Agency for Marine-Earth Science and Technology), Jayanthi Venkata Ratnam(Application Laboratory, JAMSTEC)

3:45 PM - 4:00 PM

[ATT49-08] Super-Resolution Surrogate Downscaling of MRI-ESM2(CMIP6) Black Carbon Surface Concentration Using Attention Based Convolutional Neural Networks

*Kunal Mishra ^1,2, Mizuo Kajino^2,3, Thomas Sekiyama⁴, Naga Oshima² (1. Graduate School of Science and Technology, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan, 2. Department of Atmosphere, Ocean, and Earth System Modeling Research, Meteorological Research Institute, Japan Meteorological Agency, Tsukuba Ibaraki 305-0052, Japan, 3. Institute of Life and Environmental Sciences University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan, 4. Department of Physical Meteorology Research, Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Ibaraki 305-0052, Japan)

Keywords:Black Carbon , Downscaling, Machine Learning , Air Quality