Cloud‐to‐Ground Lightning and Near‐Surface Fire Weather Control Wildfire Occurrence in Arctic Tundra. Issue 2 (18th January 2022)

• Record Type: Journal Article
• Authors: He, Jiaying; Loboda, Tatiana V.; Chen, Dong; French, Nancy H. F.
• Is Part Of: Geophysical research letters. Volume 49:Issue 2(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-01-18
• Subjects: Geophysics -- Periodicals; Planets -- Periodicals; Lunar geology -- Periodicals; 550
• DOI: 10.1029/2021GL096814
• Languages: English
• ISSNs: 0094-8276

Abstract

Abstract: Wildfire is a dominant disturbance agent in pan‐Arctic tundra and can significantly impact terrestrial carbon balance and ecosystem functioning. Interactions between fire and climate change can enhance their impacts on the Arctic. However, the driving mechanisms of tundra fire occurrence remain poorly understood. This study focuses on identifying key environmental factors controlling fire occurrence in Arctic tundra of Alaska. Our random forest models, considering ignition source, fuel, fire weather, and topography, have shown a strong predictive capability with an overall accuracy above 91%. We found cloud‐to‐ground (CG) lightning to be the dominant driver controlling tundra fire occurrence. Near‐surface weather warmer and drier than normal was required to support burning, while fuel composition and topography have modest correlations with fire occurrence. Our results highlight the critical role of CG lightning in driving tundra fires and that incorporating lightning in modeling is essential for fire monitoring, forecasting, and management in the Arctic. Plain Language Summary: Tundra fires can exert a considerable influence on the local ecosystem functioning and contribute to climate change. However, the drivers and mechanisms of tundra fires are still poorly understood. Research on modeling contemporary fire occurrence in the tundra is also lacking. Here we examined the key environmental factors driving tundra fire occurrence with numeric weather prediction and statistical models. We found that tundra fire occurrence is primarily controlled by cloud‐to‐ground lightning. Warmer and drier fire weather conditions also support burning in the tundra. We recommend the integration of lightning modeling for fire monitoring and forecasting in the data‐scarce regions like the Arctic. Key Points: Cloud‐to‐ground lightning probability is the key driver of fire occurrence in Arctic tundra Warmer and drier near‐surface fire weather conditions also promote tundra fires An empirical‐dynamic framework combining Weather Research and Forecast (WRF) and statistical learning methods shows promise for modeling tundra fire occurrence