Using NASA's Remote Sensing Datasets and Land Information System to Characterize Lightning Initiated Wildfires

White, Kristopher ; Schultz, Christopher J ; Hain, Christopher R ; Case, Jonathan ; Wachter, Brent

关键词: LIGHTNING;    CLOUD-TO-GROUND DISCHARGES;    FOREST FIRE DETECTION;    GOES 16;    CLIMATE MODELS;    EARTH OBSERVATIONS (FROM SPACE);    EARTH SURFACE;    SURFACE PROPERTIES;    DATA ACQUISITION;    PRECIPITATION (METEOROLOGY);    RAIN;    EVAPORATION;    SOIL MOISTURE;    REAL TIME OPERATION;    DATA PRODUCTS;    REMOTE SENSING;   

RP-ID  :  MSFC-E-DAA-TN56683

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

Can we use modeled information of the land surface and characteristics of lightning beyond flash occurrence to increase the identification and prediction of wildfires? The goals of this study are to: combine observed cloud-to-ground (CG) flashes with real-time land surface model output; and compare data with areas where lightning did not start a wildfire to determine what land surface conditions, rainfall observations, and lightning characteristics were responsible for causing wildfires.