Published September 22, 2021 | Version v1
Dataset Open

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

Creators

  • 1. Finnish Meteorological Institute

Contributors

Other:

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

Files

gs_layers.zip

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PID: http://hdl.handle.net/11304/a37a9df4-225d-41d8-a5f5-f7757477fe2a
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Additional details

Identifiers

URL
https://etsin.fairdata.fi/dataset/d45040e8-0bce-4143-b473-3e967ff89ebb
b2rec
ff569ebaa62a4e75bacafd76ad2a9ab6

Related works

Is published in
Other: 10.1007/s00382-021-05970-y (DOI)

Funding

Ministry of Agriculture and Forestry of Finland (project Monituho, decision number VN/5514/2020)
Academy of Finland Flagship funding (grant no. 337552)

FMI metadata

Process step
We define the thermal growing season as the period when daily mean temperature (Tday) is permanently at or above +5 °C. The beginning and end of the growing season was determined using the so-called integral method (see Ruosteenoja et al. 2016), which identifies the date after the absolute minimum of the sum(Tday-threshold) has been reached (GSbeg) and analogously GSend when 190 the absolute maximum of the sum(Tday-threshold) has been reached, but not earlier than 1st of June. To secure consistency of the final data layers, gs_len was produced by subtracting the predicted gs_end from the predicted gs_beg.
Source data
The data layers are in geotiff -format and in ETRS-LAEA coordinate reference system (epsg: 3035). Spatial resolution is 100 x 100 m.
Lineage
The accuracy of the produced layers have been evaluated againt weather station data using cross-validation. See the related research arcticle for details.
Model
Statistical modeling using generalized additive models (GAM)
Parameter
  • Parameter name: gs_beg
  • Parameter unit: DOY
  • Parameter description: Beginning of the thermal growing season
  • Parameter name: gs_end
  • Parameter unit: DOY
  • Parameter description: End of the thermal growing season
  • Parameter name: gs_len
  • Parameter unit: Days
  • Parameter description: Length of the growing season
  • Parameter name: gdds
  • Parameter unit: °C days
  • Parameter description: Degree day sum
  • Parameter name: gs_beg_trend
  • Parameter unit: days per year
  • Parameter description: Temporal trend in gs_beg
  • Parameter name: gs_end_trend
  • Parameter unit: days per year
  • Parameter description: Temporal trend in gs_end
  • Parameter name: gs_len_trends
  • Parameter unit: days per year
  • Parameter description: Temporal trend in gs_len
  • Parameter name: gdds_trend
  • Parameter unit: °C days per year
  • Parameter description: Temporal trend in GDDS
Data levels (meter, hectoPascal, degree, sigma pressure levels, other) in vertical direction(+/-) for example 1500 m or 850 hPa
  • Level: surface
Supplemental information
When using the data, please cite the paper by Aalto et al., (2021): https://doi.org/10.1007/s00382-021-05970-y
Topic category
climatologyMeteorologyAtmosphere

Temporal Coverage

Ranges:

Start date: 1949-12-31
End date: 2019-12-30

Spans:

Span:

Locations

Northern Europe Envelope:
(Lon: 71.0, Lat: 5.0 )
(Lon: 55.0, Lat: 35.0 )