Print Friendly and PDF

Advanced Search Results Detail

Project ID: 10-1-07-16

Year: 2010

Date Started: 05/01/2010

Ending Date:  04/30/2014

Title: Development and Evaluation of High Resolution Simulation Tools to Improve Fire Weather Forecasts

Project Proposal Abstract: Fire weather forecasts rely on numerical weather simulations where the grid size is 4 km x 4 km or larger. In areas of complex terrain, this model resolution will not capture the details of wind flows associated with complicated topography. Wind channeling in valleys, wind speed-up over mountains and ridges, and enhanced turbulence associated with rough terrain and tall forest canopies are poorly represented in current weather model applications. In this proposal, we describe a research program to collect detailed wind data for three very different types of terrain/landcover features and to use these data to evaluate and improve high resolution simulation tools for fire weather forecasts. The field sites will include a low vegetation steep canyon, a large isolated terrain obstacle, and a mature forested mountain/valley drainage. At each site, a dense array of surface wind sensors, complemented with vertical profiling instruments, will be used to map wind fields over an extended period. The data will be used to evaluate a range of high-resolution wind models that can be used to enhance current fire weather forecast systems. The high resolution models include: WindNinja, a mass consistency interpolation scheme; WindNinja, enhanced to use a computational fluid dynamics solver; CALMET as employed in the ClearSky a smoke dispersion forecast system; and WRF-Fire, a fire physics scheme for WRF, developed at the National Center for Atmospheric Research, which includes a fire behavior model with fire/atmosphere dynamic feedback. This proposal is a direct response to task statement 7. Fire Weather Forecast Accuracy of JFSP FS-RFA010-0001. The combination of different high resolution modeling methods with data analysis and evaluation for three very different terrain features will provide a rich and complete basis for analyzing how these high resolution methods can be used in concert with current forecast models to yield a much more detailed and accurate fire forecast.

Principal Investigator: Brian K. Lamb

Agency/Organization: Washington State University-Pullman

Branch or Dept: Department of Civil & Environmental Engineering

Other Project Collaborators




Branch or Dept

Co-Principal Investigator

Jason M. Forthofer

Forest Service

RMRS-Forestry Sciences Lab-Missoula

Federal Cooperator

Peter R. Robichaud

Forest Service

RMRS-Forestry Sciences Lab-Moscow

Federal Fiscal Representative

Peter R. Robichaud

Forest Service

RMRS-Forestry Sciences Lab-Moscow

Project Locations


Northern Rockies







Project Deliverables

There is no final report available for this project.
There are no deliverables available for this project.

Supporting Documents

There are no supporting documents available for this project.

Convert PDF documents to an html document using Adobe's online conversion tool.
Download Adobe Acrobat Reader