Xavier Barton - Guides

Rational

Retrieve weather data from LongPaddock SILO (Australian) for elements in a shapefile and give a CSV monthly averages in a year.

Input Files

Shapefile

.shp
.cpg
.dbf
.prj
.shx

Learn how to produce this shapefile from a CSV of sample names, latitudes and longitudes here: Site Locations to Shapefile

Scripts Used

Github Repository of Scripts

Environmental Data / Weather - SILO

silo_netCDF.py
shape_netCDF.py

Steps

1. Retrieving Weather Data


			python silo_netCDF.py

Arguments

None. This is an interactive script. Just make your choices. If any of the other datatypes would be useful to you, let me know and I can add them to the script.

Outputs

netCDF file for each year in your selected range. (e.g. 2018.max_temp.nc)

2. Extract Weather Data from netCDF of shapefile elements


			python shape_netCDF.py 'path/to/netCDF/file.nc' 'path/to/shapefile/file.shp' name-of-output.csv

Arguments

Path to your .shp (e.g. output_shapes.shp)
Path to your .nc (e.g. 2018.max_temp.nc)

Outputs

Output average monthly weather for each element in shapefile (name-of-output.csv)

Do this for each year and weather type netCDF you are investigating. I will proabaly automate this so you can do many at once in the future.