Differences in how Local Knowledge treats Wind ...

WIND FORECAST MODELS

Routing computations are only as good as the wind forecast used as input. Local Knowledge "LK" provides a "wind model" facility that allows you to create editable wind prediction models by four different techniques:
Convert a standard grib file to editable format
Build a model from scratch on a grid of definition points
Build a local model with your own choice of definition points
Copy a wind image to create a digital wind file for routing

Once in editable format, LK provides a full set of "point & click" editing tools to modify a wind model, either overall, in selected locations, or point to point. You can also change the timing and insert intermediate time points to better reflect what you think will happen.

The image below shows a "grid" type wind model, with wind vector definitions on a grid of points. The routing program interpolates between definition points, so you can obtain better resolution by specifying a smaller grid interval between points. You can create such a model from scratch by specifying the value at each point, convert a standard grib file or copy wind predictions from a weather image file.
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The image below is a wind forecast at 15 km separation, about 4x the resolution of most grib files. It is typically possible to get higher resolution wind predictions as images, but you need a digital file to do routing computations. LK provides a simple method to convert an image into a digital file.
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You can convert a full grib, or cut down the lat-lon region to just what you need.
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BOTTOM LINE:   YOU CAN USE WIND GRIB FILES FROM ANY SOURCE, OR CREATE YOUR OWN MODELS. ONCE DEFINED, YOU CAN EDIT MODELS IN A NUMBER OF WAYS TO MATCH CHANGING CONDITIONS.
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COMPARING DIFFERENT WIND MODELS

You can obtain wind gribs from a number of free sources, or from custom weather services. Chances are, no two of them will be identical. LK's "WindMaster" facility enables you to compare up to 3 different models simultaneously, and to compare their predictions at prior locations with your measured wind during the race. Pick the best one and use the edit tools to fine-tune it. The example below shows two forecasts (upper v. lower) for the 2002 Bermuda Race.
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The example below shows measured wind (dark vectors) vs. the predicted wind for the better Bermuda Race wind forecast. The comparison suggests that the forecast is doing a good job in predicting wind direction, but that it underestimates windspeed. This can be corrected by scaling up the wind velocities across the model, a simple one-step edit procedure.
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BOTTOM LINE: YOU CAN IMPROVE THE ACCURACY OF YOUR COURSE ROUTING BY PICKING AND TUNING THE BEST WIND FORECAST.

OTHER TOOLS FOR TRACKING WIND CHANGES AND VISUALIZING EFFECTS ON ROUTING

Force 4 has a track function to show past positions, which are saved as a file for later recall. In addition to position, the track shows the measured wind vector at each point so that you can see wind shifts and note trends in context with location. This is also useful in a windward-leeward course where you will repeat the same leg, helping to forecast wind variations that correspond to local topography.
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Force 4 also has an option to display the routing solution in terms of the wind predicted at each intermediate point. The solution below (part of the 2003 Transpac) shows the predicted boat position as a black dot on each of the comparison routes, and the wind vector predicted by the wind grib at that location and time. This enables you to get a better idea as to how the solution is being driven by the different winds anticipated along each route, and where the solution may be sensitive to features such as regions of very low wind ("holes").
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BOTTOM LINE:  LK HAS UNIQUE WAYS TO BETTER UNDERSTAND WIND AND INFORM TACTICS

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