Daily observations in 1km*1km grid
Daily weather station observations have been interpolated into 1km*1km grid using external predictors (e.g., elevation) as covariates (kriging with external drift KED).
Reference: New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate by Juha Aalto, Pentti Pirinen & Kirsti Jylhä; JGR Atmospheres 07 Apr 2016 (https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2015JD024651)
Horizontal resolution 1.0 km.
Projection: epsg:3067 (ETRS89 / TM35FIN(E,N) – Finland)
Daily data is in annual netcdf files. The files are produced by R:s Raster package.
Data will be updated once a year until Jan 2022 and after 8.2.2022 once a month (day number 8 each month)
|Globrad||Global radiation sum||kJ/m2|
|Psea||Sea level air pressure||hPa|
|RRday||Daily precipitation sum||mm||Value for today: From 06 UTC today to 06UTC tomorrow|
|Rh||Relative humidity||%||Daily mean 00UTC, 03UTC,…, 18UTC, 21UTC|
|Snow||Snow depth||cm||Snow depth at 06 UTC|
|Tday||Daily mean temp.||℃||Daily mean 00UTC, 03UTC,…, 18UTC, 21UTC|
|Tmax||Daily maximum temp.||℃||Value for today: max from 06 UTC today to 06UTC tomorrow|
|Tmin||Daily minimum temp||℃||Value for today: min from 06 UTC today to 06UTC tomorrow|
|Tgmin||Min temp near ground||℃||Value for today: min from 18 UTC yesterday to 06UTC today.|
Accessing the Data on AWS
The data is uploaded into an AWS S3 Bucket:
Files are named with a convention (using all lower case letters):
The data is stored with the following prefixes:
For example the file that contains the interpolated snow depth values for the year 1985 has the key
Content of the bucket can be browsed here:
For more information on subscribing to SNS topics, visit http://docs.aws.amazon.com/sns/latest/dg/SubscribeTopic.html.
For more information on Amazon S3 event message structure, visit http://docs.aws.amazon.com/AmazonS3/latest/dev/notification-content-structure.html.
Some usage examples: https://github.com/fmidev/opendata-resources/tree/master/examples/python