Simulations underlying the analysis in the publication: Climate Change Projections of Terrestrial Primary Productivity over the Hindu Kush Himalayan Forests

doi: 10.4121/15097500.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/15097500
Datacite citation style:
Halima Usman; Thomas Pugh; Anders Ahlström; Sofia Baig (2021): Simulations underlying the analysis in the publication: Climate Change Projections of Terrestrial Primary Productivity over the Hindu Kush Himalayan Forests. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/15097500.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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geolocation
Hindu Kush Himalayan Region
lat (N): 15.95789, 39.31873
lon (E): 60.85388, 105.0447
time coverage
1851-2100
licence
cc-0.png logo CC0

Outputs from the LPJ-GUESS dynamic global vegetation model (Ahlström et al., 2012) are provided for three historical-future simulations for the period 1851-2100, forced by bias-corrected climate from the CCSM4, MPI-ESM-LR and IPSL-CM5A-MR Earth system models (ESM). Two future climate scenarios are considered, RCP 2.6 and RCP 8.5. Simulations with potential natural vegetation everywhere (PNV, only for RCP 8.5) and with consideration of agricultural land use (LU), including transient changes were conducted. All simulations are at 0.5 x 0.5 degree spatial resolution. For information on the simulation protocol, please refer to Ahlström et al. (2012).


history
  • 2021-08-16 first online, published, posted
publisher
4TU.ResearchData
format
Raster Format
organizations
Lund University, Sweden
University of Birmingham, UK
National University of Sciences and Technology, Pakistan

DATA

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