Regional climate modeling in the Amazon basin to evaluate fire risk

ABSTRACT Studies regarding deforestation, the hydrological cycle, climate change and fire weather can benefit from detailed simulations provided by regional models (RCM). While much attention has been given to activity in Amazon, few studies have used RCM runs assess risk variables associated occurrence. We evaluated precipitation, temperature a index ensemble of Eta model coupled with three different global for Amazon basin. The were compared reanalysis data dry season 1979 2005. maximum 2-m fields underestimated over entire region, but showed statistically significant spatial correlation reference data. Precipitation was overestimated accordance major sources moisture analyzed. Keetch-Byram drought (KBDI) not significantly affected bias found improved relative individual member simulations. KBDI estimations performed better members, however some limitations. validation modeled could use satellite hotspot Furthermore, also be assessment how interacts region.