Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Pacific Islands CASC > FY 2020 Projects > Preliminary Investigation of Machine Learning Approaches to Improve Projections of Future Climate in Hawai‘i ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Pacific Islands CASC ____FY 2020 Projects _____Preliminary Investigation of Machine Learning Approaches to Improve Projections of Future Climate in Hawai‘i Filters
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The main tools for projecting future climate variations are global climate models, also called general circulation models (GCMs). These global models are improving and can be used to assess the effects of different scenarios of greenhouse gas emissions on the broad features of the earth’s climate. However, state-of-the-science GCMs are much too spatially coarse to represent the processes and features of weather and climate in small areas, especially where local effects of mountains have a strong influence. Hawaii’s weather and climate are heavily affected by interactions between wind and the rough terrain of Hawaii's mountainous islands, resulting in extreme differences from place to place in rainfall, cloudiness,...
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