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

Beskrivning

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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Publiceringsår

2021

Typ av data

Upphovspersoner

NA - Medarbetare

Aalto, Juha - Upphovsperson

Gregow, Hilppa - Upphovsperson

Lussana, C - Upphovsperson

Lyytikäinen-Saarenmaa, Päivi - Upphovsperson

Pirinen, P - Upphovsperson

Rantanen, Mika - Upphovsperson

Projekt

Övriga uppgifter

Vetenskapsområden

Geovetenskaper

Språk

engelska

Öppen tillgång

Öppet

Licens

Creative Commons Attribution 4.0 International (CC BY 4.0)

Nyckelord

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

Ämnesord

Temporal täckning

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