Spring frost indicators and underlying data
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.
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
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.
SMHI - Swedish Meteorological and Hydrological Institute
Precision climate resilience for agriculture and forestry sectors in the European boreal regions
Horizon 2020 Framework Programme, H2020 European Institute of Innovation and Technology (grant no. 101157094)
Rearing of animals and/or cultivation of plants.
Processes and phenomena of the atmosphere.
Consequences of climate change on natural and human systems
[MESH] The longterm manifestations of WEATHER. (McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)
Physical conditions in the atmosphere. Includes spatial data based on measurements, on models or on a combination thereof and includes measurement locations.
investment benchmark that incorporates, next to financial investment objectives, specific objectives related to greenhouse gas emission reductions and the transition to a low-carbon economy through the selection and weighting of underlying benchmark constituents