Modeling cloud-to-ground lightning probability in Alaskan tundra through the integration of Weather Research and Forecast (WRF) model and machine learning method

• Published in: Environmental Research Letters
• Main Authors: Jiaying He, Tatiana V Loboda
• Format: Article in Journal/Newspaper
• Language: English
• Published: IOP Publishing 2020
• Subjects: Alaskan tundra; cloud-to-ground lightning; empirical-dynamic modeling; lightning-ignited wildfire; Weather Research and Forecast (WRF); random forest; Environmental technology. Sanitary engineering; TD1-1066; Environmental sciences; GE1-350; Science; Q; Physics; QC1-999; Mellor; Tundra
• Online Access: https://doi.org/10.1088/1748-9326/abbc3b; https://doaj.org/article/48439623e83e4bb0996d6c3acbbe3a80

Wildland fires exert substantial impacts on tundra ecosystems of the high northern latitudes (HNL), ranging from biogeochemical impact on climate system to habitat suitability for various species. Cloud-to-ground (CG) lightning is the primary ignition source of wildfires. It is critical to understan...