Data from: High-resolution analysis of observed thermal growing season variability over northern Europe

Data from: High-resolution analysis of observed thermal growing season variability over northern Europe

Description

The dataset include the main output of the study Aalto et al. (2021), that is, the predicted spatial variability in mean growing season variables (1990-2019) and their temporal trends (1950-2019) over northern Europe. The produced high-resolution datasets (100 x 100 m) showcased the diversity in thermal GS conditions and impacts of climate change over northern Europe and are valuable in various forest management and ecosystem applications, and in adaptation to climate change. Original publication: Aalto, J., Pirinen, P., Kauppi, P. E., Rantanen, M., Lussana, C., Lyytikäinen-Saarenmaa, P., & Gregow, H. (2021). High-resolution analysis of observed thermal growing season variability over northern Europe. Climate Dynamics. https://doi.org/10.1007/s00382-021-05970-y
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Year of publication

2021

Authors

Aalto, Juha - Creator

Gregow, Hilppa - Creator

Lussana, C - Creator

Lyytikäinen-Saarenmaa, Päivi - Creator

Pirinen, P - Creator

Rantanen, Mika - Creator

NA - Contributor

Other information

Fields of science

Geosciences

Language

English

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

INSPIRE theme: climatologyMeteorologyAtmosphere, Thermal growing season; Statistical modeling; Climate change; Generalized additive model; Local climate; GIS
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