0xshipthecode/fmda_matlab
Implementation of the most recent version of the fuel moisture data assimilation algorithm (v2).
State machine approach to executing external processes either immediately or using a batch system, with an optional verification of outputs and retry strategies. The state of the executing processes is kept on the filesystem and survives master application crashes or restarts.
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Implementation of the most recent version of the fuel moisture data assimilation algorithm (v2).
Matlab code for complex network reading group, UC Denver 2014.
Ingest system for GRIB2 files that are used to initialize and force numerical weather predictions.
Erlang application that ingests RAWS observations for given variables (e.g. air temperature, wind speed, fuel moisture) from the MesoWest network.