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)
Daily gridded evapotranspiration data for Finland for 1981–2020 by Pirinen, P., Lehtonen, I., Heikkinen, R. K., Aapala, K., Aalto, J., (2022) Daily gridded evapotranspiration data for Finland for 1981–2020. FMIs Clim. Bull. Res. Lett. 4. (https://doi.org/10.35614/ISSN-2341-6408-IK-2022-11-RL)
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)
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