Co-Convenors:
Chan Joo Jang (Korea)
Kyung-Il Chang (Korea)
Enrique Curchitser (USA)
Michael Foreman (Canada)
Shin-ichi Ito (Japan)
Angelica Peña (Canada)
Hyodae Seo (USA)
Invited Speakers:
Enrique Curchitser (Rutgers University, USA)
Eun Soon Im (Singapore-MIT Alliance for Research and Technology (SMART), Singapore/USA)
Hyun-Suk Kang (National Institute of Meteorological Research, Korea)
Hyoun-Woo Kang (KIOST-PML Science Office, UK)
Kei Sakamoto (Meteorological Research Institute, Japan)
Hyodae Seo (Woods Hole Oceanographic Institution, USA)
Regional climate models are a key scientific tool for understanding climate change at regional to local scale, which is highly relevant to considerations for many socio-economic impacts. Despite the apparent limitations associated with errors in forcing fields and uncertainties in downscaling techniques, regional climate models continue to provide critical information for regional climate change by filling the gap between projections by global climate models and demand for developing adaptation and mitigation strategies at highly resolved scales. This session calls for papers addressing the recent efforts for regional climate modeling such as developing novel approaches for dynamic downscaling, comparison between regional and global climate model results, detection and evaluation of regional climate changes in the North Pacific Ocean simulated by regional and global climate models, assessment of their uncertainty, and coupling of regional climate models with other Earth system model components such as biogeochemical and ecological models. The session aims to assemble and share existing expertise in recent efforts to regional climate models by providing a platform to discuss their limitations and reliability.
