most citedBuilding a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 1 cited

Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks

J. Mandel, J. Hirschi, A. K. Kochanski +6

The current fuel moisture content (FMC) subsystems in WRF-SFIRE and its workflow system WRFx use a time-lag differential equation model with assimilation of data from FMC sensors o…