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Australia Wet Tropics decadal climate change predictions (~250m resolution)

Spatial surfaces of climate change projections representing 30yr climate averages for each decade from present to 2080. The data represent individual realizations of upto 8 global climate models for each of 3 emission scenarios defined by the IPCC 2007.
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    Data record related to this publication Australia Wet Tropics decadal climate change predictions (~250m resolution)
    Data Publication title Australia Wet Tropics decadal climate change predictions (~250m resolution)
  • Description

    Spatial surfaces of climate change projections representing 30yr climate averages for each decade from present to 2080. The data represent individual realizations of upto 8 global climate models for each of 3 emission scenarios defined by the IPCC 2007.

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  • Other Descriptors
    • Descriptor

      Future climate layers consisted of climate surfaces for ten year intervals between 1990 and 2080. The future climate surfaces were based on the IPCC Special Report on Emission Scenarios (SRES) scenario A1B, B2 & A1. Future climate surfaces were based on eight global circulation models (GCM), some with multiple realisations (details are with each of the data surfaces). Note: any analysis should be weighted by the number of realisations per GCM to remove any possible GCM-specific bias. Baseline climate surfaces for these were from ANUCLIM 6.1 software with a climate baseline of 1975-2005. The climate layers were created using the “climates” package in R (VanDerWal et al., 2011), and are equivalent to the bioclim variables derived using Anuclim 5.1 software (Hutchinson et al., 2000). The derived bioclimatic variables represent: BIO1 = Annual Mean Temperature BIO2 = Mean Diurnal Range (Mean of monthly (max temp - min temp)) BIO3 = Isothermality (BIO2/BIO7) (* 100) BIO4 = Temperature Seasonality (standard deviation *100) BIO5 = Max Temperature of Warmest Month BIO6 = Min Temperature of Coldest Month BIO7 = Temperature Annual Range (BIO5-BIO6) BIO8 = Mean Temperature of Wettest Quarter BIO9 = Mean Temperature of Driest Quarter BIO10 = Mean Temperature of Warmest Quarter BIO11 = Mean Temperature of Coldest Quarter BIO12 = Annual Precipitation BIO13 = Precipitation of Wettest Month BIO14 = Precipitation of Driest Month BIO15 = Precipitation Seasonality (Coefficient of Variation) BIO16 = Precipitation of Wettest Quarter BIO17 = Precipitation of Driest Quarter BIO18 = Precipitation of Warmest Quarter BIO19 = Precipitation of Coldest Quarter REFERENCES Hutchinson M. F., Houlder D. J., Nix H. A., Mcmahon J. P. (2000) ANUCLIM user's guide Version 5.1. Centre for Resource and Environmental Studies, Australian National University, Canberra, Australian Capital Territory, Australia. VanDerWal J., Beaumont L., Zimmermann N. E., Lorch P. (2011) Package 'climates': Methods for working with weather and climate. www.rforge.net/climates/.

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      Descriptor type Full
    • Descriptor

      Dataset consists of a 9.1GB zip file containing both ASCII grid and PNG files for each climate surface.

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      Descriptor type Note
    • Data type dataset
  • Keywords
    • climate layers
  • Funding source
  • Research grant(s)/Scheme name(s)
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    • Research themes
    Tropical Ecosystems, Conservation and Climate Change
    FoR Codes (*)
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    Temporal (time) coverage
  • Start Date 2000/01/01
  • End Date 2080/12/31
    • Time Period
    Spatial (location) coverage
  • Locations
    • Wet Tropics, Queensland, Australia
- Data
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- Citation
    Citation Vanderwal, Jeremy (2011): Australia Wet Tropics decadal climate change predictions (~250m resolution). James Cook University. https://research.jcu.edu.au/data/published/839987d29dd7021a87d05681b1fda803