-
- GC41J-0772: Recent advances in monitoring the fuel moisture content over the U.S.
-
Board 0772‚ Hall EFG (Poster Hall)NOLA CC
Author(s):Generic 'disconnected' Message
Pedro Jimenez, National Center for Atmospheric Research (First Author, Presenting Author)
John Schreck, NSF National Center for Atmospheric Research
Thomas Brummet, National Center for Atmospheric Research
Masih Eghdami, National Center for Atmospheric Research
Jason Knievel, NCAR
Eric James, Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder
Accurate assessments of fuel moisture content (FMC) are important for many applications related to wildland fires, including the simulation of the fire rate of spread and determining the fire danger. During the last years we have developed retrievals of the dead and live FMC using regression models based on machine learning that combine numerical weather prediction outputs and satellite retrievals from instruments on board of circumpolar and geostationary satellites (https://ral.ucar.edu/tool/fuel-moisture-content-retrievals). There is an ongoing real-time demonstration of the FMC retrievals (https://fmc.ral.ucar.edu/). This presentation will summarize our methods and characterize the performance of the retrievals. We will highlight the advantages of combining products from circumpolar and geostationary satellites to improve results. Our current efforts to retrieve the live FMC for different plant species will be also discussed, which should prove useful in enhancing the value of our FMC retrievals for a wide range of applications.
Scientific DisciplineNeighborhoodType
Enter Note
Go to previous page in this tab
Session
