Monthly Department of Primary Industries and Regional Development (DPIRD) weather station data for the South West Agricultural Region (SWAR)

Full description

Data description:
This dataset is comprised of two sections:

1. Compilation of multiple weather station and satellite weather data sources to facilitate direct comparison of data accuracy amongst multiple data sources

2. Spatial error analysis (RMSE) of weather station an satellite weather data on both annual and monthly averages. This allows interrogation to determine the most accurate dataset for any location within the South West Agricultural Region on an annual or month-by-month basis.

Data sources:
- DPIRD monthly data downloaded using DPIRD weather API system (https://www.agric.wa.gov.au/weather-api-20)
- BOM monthly weather station data downloaded from Climate Data Online portal (http://www.bom.gov.au/climate/data/) (available under a CC BY 3.0 AU license)
- BOM monthly gridded weather data downloaded from Climate Maps (http://www.bom.gov.au/climate/maps/) (available under a CC BY 3.0 AU license)
- Python code for automated download of multiple datasets and months available at https://github.com/TristanCampbell/BOM-data

- Copernicus hourly LST data downloaded from Copernicus Global Land Service (https://land.copernicus.eu/global/products/lst) (source data Copyright EUMETSTAT)
 - Data filtered to remove all quality factors below 100
 - Daily maximum temperature calculated from maximum LST btween 10:00 and 15:00 (Australian Western Standard Time - AWST)
 - Daily minimum temperature calculated from minimum LST btween 03:00 and 09:00 (Australian Western Standard Time - AWST)
 - Monthly average maximum and minimum temperatures calculated from the mean of the daily temperatures for each month from the above process
- GSMaP products downloaded from JAXA GSMaP FTP site (hokusai.eorc.jaxa.jp, register for FTP site via 'User Registration' button at https://sharaku.eorc.jaxa.jp/GSMaP/index.htm)

BOM, Copernicus LST and GSMaP data appended to DPIRD weather station using nearest neighbour analysis

This dataset contains 1 x CSV file; Maps of RMSE for weather products: 155 x GeoTIFF files