Dataset

Australia decadal climate change predictions (~5km resolution)

James Cook University
Jeremy James VanDerWal (Associated with, Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://research.jcu.edu.au/researchdata/published/detail/aa02799db304286f9cbf82582676e6b5&rft.title=Australia decadal climate change predictions (~5km resolution)&rft.identifier=jcu.edu.au/tdh/collection/a308884e-87a1-49f4-b7f2-be19d3123018&rft.publisher=James Cook University&rft.description=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 derived from monthly climate surfaces obtained from the Australian Water Availability Project (Grant et al., 2008, Jones et al., 2007) averaged over the period 1961 – 1990 at a 0.05o resolution (~5km grid). 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 Jones DA, Wang W, Fawcett R (2007) Climate Data for the Australian Water Availability Project: Final Milestone Report. National Climate Centre, Australian Bureau of Meteorology. Grant I, Jones D, Wang W, Fawcett R, Barratt D (2008) Meteorological and remotely sensed datasets for hydrological modelling: a contribution to the Australian Water Availability Project. 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/.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.&rft.creator=Jeremy James VanDerWal&rft.date=2011&rft.coverage=Australia&rft.coverage=128.501610001,-10.2564252066 144.321922498,-10.2564252066 155.923484996,-26.535352498 153.638328746,-32.6448217258 150.825828747,-39.3223045513 148.540672497,-44.4146187794 144.673484998,-44.4146187794 141.333641248,-39.720352872 130.08364125,-33.2254353243 114.790672503,-37.1038915718 110.571922504,-22.3659048774 128.501610001,-10.2564252066&rft_subject=climate projection&rft_subject=Ecological Impacts of Climate Change&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ECOLOGICAL APPLICATIONS&rft.type=dataset&rft.language=English Access the data

Access:

Open view details

Open Access . If the data is not available via the provided link, please contact an associated party (preferrably the Manager as specified) for access.

Contact Information

jeremy.vanderwal@jcu.edu.au

Centre for Tropical Biology and Climate Change, Australian Tropical Science and Innovation Precinct 145, James Cook University, Douglas Campus, Townsville QLD 4811, Tel: +61 7 4781 5570

Brief 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.

Full description

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 derived from monthly climate surfaces obtained from the Australian Water Availability Project (Grant et al., 2008, Jones et al., 2007) averaged over the period 1961 – 1990 at a 0.05o resolution (~5km grid). 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 Jones DA, Wang W, Fawcett R (2007) Climate Data for the Australian Water Availability Project: Final Milestone Report. National Climate Centre, Australian Bureau of Meteorology. Grant I, Jones D, Wang W, Fawcett R, Barratt D (2008) Meteorological and remotely sensed datasets for hydrological modelling: a contribution to the Australian Water Availability Project. 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/.

Created: 03 10 2011

Data time period: 31 12 2008 to 30 12 2011

128.501610001,-10.2564252066 144.321922498,-10.2564252066 155.923484996,-26.535352498 153.638328746,-32.6448217258 150.825828747,-39.3223045513 148.540672497,-44.4146187794 144.673484998,-44.4146187794 141.333641248,-39.720352872 130.08364125,-33.2254353243 114.790672503,-37.1038915718 110.571922504,-22.3659048774 128.501610001,-10.2564252066

133.24770375,-27.335521993

text: Australia

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Identifiers
  • Local : jcu.edu.au/tdh/collection/a308884e-87a1-49f4-b7f2-be19d3123018