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Model formulation and comparison against measurements. 16:5229-5241, doi:10.5194/acp-16-5229-2016.įorthofer, JM, Butler, BW, Wagenbrenner, NS, (2014) A comparison of three approaches for simulating fine-scale surface winds in support of wildland fire management. Or contact the WindNinja Incident Support Team at NS, Forthofer, JM, Lamb, BK, Shannon, KS, Butler, BW, (2016) Downscaling surface wind predictions from numerical weather prediction models in complex terrain with WindNinja. These are strongly recommended for new users. There are 4 tutorials that can be opened from Start > Programs > WindNinja-x.x.x > Tutorial.Once installed, WindNinja can be started from Start > Programs > WindNinja-x.x.x > WindNinja-x.x.x.Older versions of WindNinja DO NOT need to be uninstalled before installing this version.Recommended: 8 GB RAM, 2.4 GHz processing speed Hardware recommendations: Minimum: 4 GB RAM, 2.0 GHz processing speed.
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Note: Software developers and researchers can visit the WindNinja Project Development website.
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WindNinja runs on 32- and 64-bit versions of Windows XP and later operating systems and can also be run on versions of Linux, however building from source code is required (see Building WindNinja with CMake). WindNinja is typically run on domain sizes up to 50 kilometers by 50 kilometers and at resolutions of around 100 meters. Outputs of the model are ASCII Raster grids of wind speed and direction (for use in spatial fire behavior models such as FARSITE and FlamMap), a GIS shapefile (for plotting wind vectors in GIS programs), and a. A diurnal slope flow model and non-neutral atmospheric stability model can be turned on or off. Other required inputs for a WindNinja simulation include elevation data for the modeling area (which WindNinja can obtain from Internet sources), date and time, and dominant vegetation type. The third mode uses a user-specified average surface wind speed and direction. The second mode uses one or more surface wind measurements to build a wind field for the area. The first mode is a forecast, where WindNinja uses coarser resolution mesoscale weather model data from the US National Weather Service to forecast wind at future times.
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WindNinja can be run in three different modes depending on the application and available inputs. It was developed to be used by emergency responders within their typical operational constraints of fast simulation times (seconds), low CPU requirements (single processor laptops), and low technical expertise. WindNinja is a computer program that computes spatially varying wind fields for wildland fire and other applications requiring high resolution wind prediction in complex terrain. WindNinja was developed to help fire managers predict these winds.
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The complex terrain of fire-prone landscapes causes local changes in wind speed and direction that are not predicted well by standard weather models or expert judgment. Wind is one of the most influential environmental factors affecting wildland fire behavior. Take a look at our WindNinja story map to see a quick overview. See the WindNinja project website for more details.Īlso, check out WindNinja-Mobile application. WindNinja is a computer program that computes spatially varying wind fields for wildland fire application.