Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IIASA PURE
Dataset . 2024
Data sources: IIASA PURE
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

Decadal BIOCLIM estimates based on ISIMIP3b climatic forcing data for the European continent

Authors: Jung, M.;

Decadal BIOCLIM estimates based on ISIMIP3b climatic forcing data for the European continent

Abstract

This dataset contains BIOCLIM variables (plus huss, sfcwind, rsds) which have been prepared and calculated from the original ISIMIP3b bias-adjusted climate forcing data from 5 GCM models (obtained on 2023-08-07). For more information on the original data and its properties, please see the ISIMIP3b modelling protocol and here specifically the climate forcing section https://protocol.isimip.org/#/ISIMIP3b/31-forcing-data and Frieler et al. (2024). The original climate forcing data (global extent, daily temporal grain) were cropped to the European extent and spatial-temporally aggregated. Here 10 year (decadal) steps were chosen as target climatology.For each time slot (e.g. 10 years) and scenario (historical or ssps) the following 22 variables were calculated: bioclim01 = Annual Mean Temperaturebioclim02 = Mean Diurnal Range (Mean of monthly (max temp - min temp))bioclim03 = Isothermality (BIO2/BIO7) (×100)bioclim04 = Temperature Seasonality (standard deviation ×100)bioclim05 = Max Temperature of Warmest Monthbioclim06 = Min Temperature of Coldest Monthbioclim07 = Temperature Annual Range (BIO5-BIO6)bioclim08 = Mean Temperature of Wettest Quarterbioclim09 = Mean Temperature of Driest Quarterbioclim10 = Mean Temperature of Warmest Quarterbioclim11 = Mean Temperature of Coldest Quarterbioclim12 = Annual Precipitationbioclim13 = Precipitation of Wettest Monthbioclim14 = Precipitation of Driest Monthbioclim15 = Precipitation Seasonality (Coefficient of Variation)bioclim16 = Precipitation of Wettest Quarterbioclim17 = Precipitation of Driest Quarterbioclim18 = Precipitation of Warmest Quarterbioclim19 = Precipitation of Coldest Quarterhuss = Average (arithmetric mean) specific humidityrsds = Average (arithmetric mean) Surface downwelling shortwave radiationsfcwind = Average near-surface wind speed (arithmetric mean)---Data properties: Shared Socioeconomic Pathways (SSP) SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5 General circulation models (GCMs) GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL Spatial grain 0.5 degree (~50km²) Geographic projection WGS 84 Temporal grain 10 year steps Spatial extent Continental Europe including Turkey (see screenshot) Temporal extent 1850 to 2010 (Historical), 2010 - 2100 (Future) Number of variables 22 All files are provided in netCDF (nc) format. The preprocessed datasets are provided as it and the author takes no responsibility for errors or misuse. 

Country
Austria
Keywords

Europe, ISIMIP, SSP, BIOCLIM, Climate Change, GCM

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Funded by
Related to Research communities
Italian National Biodiversity Future Center