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BhutanBioClims: High-Resolution (250 m) Historical and Projected (CMIP6) Bioclimatic Variables for Bhutan. v1

La Trobe University
Ali Bajwa (Aggregated by) Ammar Aziz (Aggregated by) Asad Shabbir (Aggregated by) Sangay Dorji (Aggregated by) Stephen Stewart (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/D8N7-5A07&rft.title=BhutanBioClims: High-Resolution (250 m) Historical and Projected (CMIP6) Bioclimatic Variables for Bhutan. v1&rft.identifier=10.25919/D8N7-5A07&rft.publisher=La Trobe University&rft.description=This collection provides 121 sets of 19 bioclimatic variables (see Booth et al. 2014) describing the historical (1986–2015) and projected future (CMIP6) climates of Bhutan with a spatial resolution of 250 m. The future 19 bioclimatic variables include four shared socio-economic pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) (O'Neill et al., 2016; Riahi et al., 2017) and three periods (2021–2050, 2051–2080, and 2071–2100) using 10 global climate models (GCMs). These data can be used for many applications in environmental and agricultural science.&rft.creator=Ali Bajwa&rft.creator=Ammar Aziz&rft.creator=Asad Shabbir&rft.creator=Sangay Dorji&rft.creator=Stephen Stewart&rft.creator=Stephen Stewart&rft.creator=Steve Adkins&rft.date=2025&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_rights=All Rights (including copyright) University of Queensland, CSIRO 2024.\nCreative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_subject=Bhutan&rft_subject=climate&rft_subject=bioclimatic variables&rft_subject=global climate models&rft.type=dataset&rft.language=English Access the data
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All Rights (including copyright) University of Queensland, CSIRO 2024.\nCreative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/

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This collection provides 121 sets of 19 bioclimatic variables (see Booth et al. 2014) describing the historical (1986–2015) and projected future (CMIP6) climates of Bhutan with a spatial resolution of 250 m. The future 19 bioclimatic variables include four shared socio-economic pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) (O'Neill et al., 2016; Riahi et al., 2017) and three periods (2021–2050, 2051–2080, and 2071–2100) using 10 global climate models (GCMs). These data can be used for many applications in environmental and agricultural science.

Issued: 24 02 2025

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Bhutan | bioclimatic variables | climate | global climate models |

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