Fundamental mesoscale research, dynamics of high-impact weather

In FY2017 MMM scientists and collaborators worked to improve the detection and prediction of wildland fires through integration of new and underutilized remote sensing datasets with coupled weather-wildland fire modeling. Additional fire detection and mapping data, along with novel combinations of existing data, were investigated to enable earlier and more frequent cycling of CAWFE coupled weather-fire growth predictions.

High-Impact Wx figure

A sequence of three CAWFE™ simulations (top row to third row) of the Canyon Creek Complex at several times (indicated on x-axis) after 11 AM August 13, 2015. Fire extent in images bounded by magenta are the observed active fire detections (provided in the bottom row at 17.2 h, 26.9 h, and 39.2 h for comparison with simulations). Expts. A and C were additional “bonus” simulations enabled by the techniques put forward during this project.