Spring frost indicators and underlying data
https://doi.org/10.5878/hat7-k309
The data set contains indicators related to future spring frost occurrence in Fennoscandia. The indicators were calculated from the daily average and daily minimum air temperature data from the regional climate model simulations from the CORDEX-CMIP5 project. These climate model simulations have previously been bias-adjusted to minimise systematic errors, as described in the included documentation, and use Representative Concentration Pathways RCP2.6, RCP4.5, and RCP8.5.
The indices follow the conventions of the Climix tool and comprise:
- start of growing season [gsstart],
- last spring frost [lsf],
- number of spring frost days [fdgsstart], and
- late frost lag since vegetation onset [lflsvo]
The indices are given as NetCDF files with yearly time-resolution and a spatial grid spacing of approximately 12.5x12.5km, one file for each index/GCM/RCM/RCP combination. Ensemble averages are also included, one file for each index/RCP combination.
The underlying bias-adjusted gridded daily average near-surface air temperature and daily minimum near-surface air temperature data are also included, one file for each GCM/RCM/RCP combination.
Documentation files
Documentation files
Citation and access
Citation and access
Data access level:
Creator/​Principal investigator(s):
Research principal:
Data contains personal data:
No
Citation:
Language:
Method and outcome
Method and outcome
Time period(s) investigated:
Data format/​data structure:
Geographic coverage
Geographic coverage
Geographic location:
Geographic description:
Fennoscandia: Denmark, Norway, Sweden, Finland, Estonia, Latvia, Lithuania
Administrative information
Administrative information
Responsible department/​unit:
Rossby Centre, FoU-klimat
Funding
Funding
Funding agency:
- Horizon 2020 Framework Programme, H2020 European Institute of Innovation and Technology (grant no. 101157094)
Award number:
101157094
Award URI:
Award title:
Precision climate resilience for agriculture and forestry sectors in the European boreal regions
Topic and keywords
Topic and keywords
Swedish Standard Classification of Research Subjects 2025:
INSPIRE topic categories:
Publications
Publications
Citation:
Gustav Strandberg, Carolina Nilsson, Renate Wilcke, Lotten Wiréhn, 2026: Late spring frost may hinder Scandinavian farmers from making advantage of the longer vegetation period, Communications Sustainability, in review
Citation:
Strandberg, G., Thomasson, A., Bärring, L., Kjellström, E., Sahlin, M., Wilcke, R. A. I., and Nikulin, G.: Projected climate change in Fennoscandia – and its relation to ensemble spread and global trends, Weather Clim. Dynam., 7, 185–200, https://doi.org/10.5194/wcd-7-185-2026, 2026.
Metadata
Metadata
Version 1

SMHI - Swedish Meteorological and Hydrological Institute