5016, 1000, 2564, 2520, 3219, 2249, 9234, 8499, 5353, 5249, 6383, 2874, 6448, 2172, 8258, 3223, 0455, 5406, 7249, 4146, 1877, 6734, 3336, 4124, 7203, 5287, 0836, 4125, 2254, 3532, 7906, 7250, 1038, 9157, 5719, 2250, 3659, 0487, 2009, 2011, English, Data set edition: Australia decadal climate change predictions (~5km resolution)

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Physical Description
  • data set
Published
  • James Cook University
Language
  • English

Edition details

Title
  • Australia decadal climate change predictions (~5km resolution)
Other Contributors
  • VanderwalJeremyDr (isManagedBy)
Published
  • James Cook University
Physical Description
  • data set
Subjects
Date or Place
  • Spatial:kmlPolyCoords: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
  • Spatial::Australia
  • Temporal: from 2009-01-01
  • Temporal: to 2011-12-31
Summary
  • Coinvestigators: None Related JCU Research Themes: Tropical Ecosystems, Conservation and Climate Change
  • 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.
Terms of Use
  • Licensing: Creative Commons - Attribution alone (by)
  • Open Access If the data is not available via the provided link, please contact an associated party (preferrably the Manger is specified) for access.
Language
  • English
Related Resource
Identifier
  • jcu.edu.au/​tdh/​collection/​a308884e-87a1-49f4-b7f2-be19d3123018
  • a308884e-87a1-49f4-b7f2-be19d3123018 (local)

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