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I am a glider pilot with a couple of Python tricks up my sleeve who's playing with weather data and historical flight data. Most of my activity is focused on the Pacific North West.

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A place for lots of soaring coolness.

Parsing meteo data for a particular point: grib_ls -m -l 47.683900,-120.935794,1 -p paramId,name,level,time rap_130_20120822_2100_000.grb2

RAP Archive: https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/rapid-refresh-rap

Thermal near Ephrata:

68de910c-ff55-4be7-b163-0d46e8a94c97 55584744 -119.56293333337 47.3514166666813 1425 1.94723618090453 775 2013-06-01 21:25:42

http://www.onlinecontest.org/olc-2.0/gliding/flightinfo.html?flightId=55584744

Mountain Thermal: 5efc712e-0656-4003-b981-88a2348f3756 537762561 -121.236050000037 48.4365833333483 2362 1.23099415204678 420 2015-05-03 23:22:58

Finding the GDAL package on Ubuntu:

sudo apt-cache search gdal

Then install libgdal-dev:

sudo apt-get install libgdal-dev

export CPLUS_INCLUDE_PATH=/usr/include/gdal

export C_INCLUDE_PATH=/usr/include/gdal

pip install GDAL

DEM Coordinates:

top left: lat: 49 lon: -125

lower right: lat: 43.5 lon: -112

Download STRM TIFF here:

http://srtm.csi.cgiar.org/SELECTION/inputCoord.asp

SRTM 90m DEM version 4 srtm_12_03:

Latitude min: 45 N max: 50 N

Longitude min: 125 W max: 120 W

srtm_13_03:

Latitude min: 45 N max: 50 N

Longitude min: 120 W max: 115 W

Notes

I started with leveraging GRIB_API but found it too slow for parsing data at a particular point. The tools do not appear to support multi-threading. I am switching to wgrib2 to generate CSV files, which should be easier to process.

Time bounds:

17Z through 3Z

Swiss Thermal Hot spots: http://thermal.kk7.ch/ XCSoar Custom Map: http://www.dotmana.com/weblog/2014/07/xcsoar-generate-custom-maps/

Mt Pilchuck: 48.058099 -121.796903

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I am a glider pilot with a couple of Python tricks up my sleeve who's playing with weather data and historical flight data. Most of my activity is focused on the Pacific North West.

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