Abstract:
A dynamic gridded dataset of live and dead fuel moisture content (FMC) over the Conterminous United States (CONUS). The FMC dataset is created by combining satellite observations, reflectances from MODIS Terra and Aqua platforms, with surface, in situ observations of FMC from the National Fuel Moisture Database (NFMD) using a machine learning model as well as environmental data provided by the National Water Model based on the WRF-Hydro model.
Temporal Range:
2019-08-06 to 2021-02-28
Variables:
Hazard Mitigation/Planning |
Wildfires |
Data Contributors:
UCAR/NCAR/RAL
Research Application Laboratory, National Center for Atmospheric Research, University Corporation for Atmospheric Research
Metadata Record:
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.