معرفی
Adam Kochanski is an Associate Professor in the Department of Meteorology and Climate Science at San Jose State University's College of Science, where he leads research in wildfire-atmosphere interactions through the Wildfire Interdisciplinary Research Center. His work bridges atmospheric science, fire ecology, and numerical modeling to address critical wildfire forecasting challenges.
Dr. Kochanski's research focuses on fire-atmosphere coupling mechanisms, with particular expertise in coupled fire-atmosphere modeling using WRF-SFIRE. His work spans numerical forecasting of large wildland fire events, air quality impacts of wildfire smoke, plume dynamics, fuel moisture modeling, and satellite data assimilation techniques. He develops and applies advanced modeling systems including WRF, WRF-CHEM, QUIC, and STILT on high-performance computing platforms.
His publication record shows consistent output with 15+ publications annually, demonstrating active leadership in wildfire modeling research. Recent work emphasizes practical applications including fire perimeter assimilation, fuel moisture reanalysis, and machine learning approaches for wildfire forecasting, addressing both fundamental science questions and operational fire management needs.
Dr. Kochanski collaborates extensively with federal agencies including the National Science Foundation, Joint Fire Science Program, US Forest Service, and NASA, indicating significant research support and real-world impact of his work. His contributions to the WRF-SFIRE modeling system have established him as a key developer in the international wildfire modeling community.
