Important meteorological predictors for long-range wildfires in China

Wildfire predictions provide useful information for fire management planning and implementation. Temperature precipitation have been used as the primary meteorological predictors wildfires in China. This study is to improve prediction skills of long-range (monthly, seasonal, annual) China by identifying other important predictors. Provincial data during 1999–2020 were calculate correlations between properties (fire count burned area) variables maximum temperature, precipitation, relative humidity, wind speed, vapor pressure deficit (VPD) drought indices Keetch-Bryam Drought Index (KBDI), Palmer Severity (PDSI), Standardized Precipitation (SPI). The fitting rates linear regression models compared among these indices. results indicate that number provinces with significant / or high largest VPD monthly fires, KBDI seasonal KBDI, PDSI, SPI annual fires. larger Northeast, Central, South than regions. comparable spring seasons but often smaller variables. generally areas count. It concluded are expected be improved many using well some