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Developing gridded climate data using neural networks: high-resolution historical climate and future projections for Africa
DownloadFall 2024
Databases of high-resolution interpolated climate data are essential for climate change research, such as analyzing impacts of climate extreme events on biological systems and the development of climate change adaptation strategies for managed and natural ecosystems. To enable such efforts, this...
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Improved Forest Fire Danger Rating Using Regression Kriging with the Canadian Precipitation Analysis (CaPA) System in Alberta
DownloadFall 2017
Estimating precipitation is currently one of the key challenges of accurate Fire Danger Rating. New gridded precipitation analysis systems such as the Canadian Precipitation Analysis System (CaPA) may be superior to the current analytical interpolation strategies, thin plate spline (TPS), and...