Land use and land cover change (LULC) is shown to have dramatic impacts on local and regional climate. Physical changes to land surfaces manifest in the form of deforestation/reforestation, wildfires and controlled burns, agricultural practices, mining activities, expansion of impervious surfaces, and greenbelting in urban areas. Through redistribution of water, changes to the surface energy budget, modification of surface roughness, alteration of lower tropospheric biogeochemistry, and other anthropogenic effects, rapid changes in climate regimes occur. A primary means of quantifying resultant anomalies is through the utilization of high-resolution, numerical prediction models such as WRF and its variants (ARW, FIRE, etc.). This session serves as a platform to disseminate research that investigates the impact of LULC on climate across multiple spatio-temporal scales via high resolution, numerical prediction models. Research on best practices and emerging methods in application and implementation of LULC are also welcome, as no uniform methodology exists in the current literature.
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