https://github.com/alanswx/weathertileexamples
Simple examples to make weather tilesets for your favorite mapping system.
https://github.com/alanswx/weathertileexamples
radar tilesets weather wind
Last synced: 6 months ago
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Simple examples to make weather tilesets for your favorite mapping system.
- Host: GitHub
- URL: https://github.com/alanswx/weathertileexamples
- Owner: alanswx
- License: apache-2.0
- Created: 2015-10-29T17:38:38.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2020-10-12T01:32:11.000Z (almost 5 years ago)
- Last Synced: 2024-11-01T05:32:51.915Z (11 months ago)
- Topics: radar, tilesets, weather, wind
- Language: Python
- Homepage:
- Size: 4.61 MB
- Stars: 22
- Watchers: 6
- Forks: 7
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# WeatherTileExamples
Simple examples to make tilesets for your favorite mapping system.
This is a simple set of examples that will show you how to take some of the newest, coolest NOAA products and turn them into tile sets for use in a web map mashup, or with WhirlyGlobe-Maply.
These examples rely on Vagrant and VirtualBox to run a Centos 7 environment which we will use yum to install gdal. Centos 7 with the epel gives us a reasonable install of gdal (version >= 1.11.2). We need this new of a version to handle opening the MRMS gz file without gzipping them (using a virtual file system) and for the alpha to work correctly with our palette.
## About the data
### Multi Radar Multi Sensor (MRMS)
[MRMS](http://www.nssl.noaa.gov/projects/mrms/) is a software product built by the University of Oklahoma that is now being run in real time by the National Weather Service. The data can be retrieved by [LDM](https://docs.google.com/document/d/1LeVcn_taIXZgzZb5JgWqaVr0xVs7GmA6RpHcb8ZGiwk/edit) or [HTTP](http://mrms.ncep.noaa.gov/data/).
There are a number of interesting data products with MRMS including 3D slices of the atmosphere, lightning, hail, etc. We will show how to plot Reflectivity (Radar).
### High Resolution Rapid Refresh (HRRR)
[HRRR](http://ruc.noaa.gov/hrrr/) is a high resolution model that is run by NCEP and is updated very often. It can be found via [NCEP NOMADS HTTP](http://nomads.ncep.noaa.gov/). We will look at the wind forecast, and composite reflectivity forecast (simulated Radar)
## Steps to convert the data
1. Install [Vagrant](https://docs.vagrantup.com/v2/installation/) and [VirtualBox](https://www.virtualbox.org/wiki/Downloads)
2. clone this repository
3. cd into the directory with the VagrantFile and type `vagrant up`
4. vagrant will load a centos image, and boot it. It will run the shell provisioner noaatiles.sh to install gdal, python bindings, and wgrib2
5. type `vagrant ssh` to get into the VM
6. type `cd vagrant_data` - this will put you in the scripts directory
7. type `./download_latest_hrrr.sh` to download and create 3 tile sets from the latest HRRR model
8. type `./download_latest_mrms.sh` to download and create a tile set from the latest MRMS
What do you end up with?
##### `data` directory
* MRMS and HRRR model files
#### `output` directory
* hrrr - a directory that has a tileset of the composite reflectivity plotted with alpha, that looks like future radar 
* wind vectors split by component. Take a look at this page for more information: [Wind: u and v Components](http://colaweb.gmu.edu/dev/clim301/lectures/wind/wind-uv)
* hrrr_u_tiles - a tileset of the u vector of the wind 
* hrrr_v_tiles - a tileset of the v vector of the wind
* hrrr_speed_tiles - a tileset of the speed of the wind 
* mrms - a radar tileset from mrms data 
## Advanced modifications
### More tile levels
Modify this line in create_hrrr_radar.sh:
```bash
python ./gdal2tiles.py -r bilinear -z 0-9 output/hrrr.vrt output/hrrr
```
z is the number of z levels for the tiles. If you want it to create a higher resolution set of tiles, try this command instead.
####Change the Palettes
This is inside `palettes/radar_pal.txt`
nv 0 255 0 0
0% 0 0 0 0
-30 255 255 255 0
-25 0 0 0 255
-20 255 255 255 255
-15 233 204 249 255
-10 207 128 223 255
-05 131 51 147 255
00 58 0 176 255
05 29 0 215 255
10 0 0 255 255
15 3 60 175 255
20 5 119 95 255
25 8 179 15 255
30 132 217 8 255
35 255 255 0 255
40 255 170 0 255
45 255 85 0 255
50 255 0 0 255
55 179 0 0 255
60 102 0 0 255
65 51 0 0 255
70 0 0 0 255
75 250 197 250 255
80 255 255 255 255
100% 255 255 255 255