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A selection of 9s gridded climate change variables for continental Australia for biodiversity modelling: 1990, 2050, 2070, 2090; GFDL and ACCESS1.0; RCP 4.5, 8.5

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About this Collection

A selection of 9s gridded climate change variables for continental Australia for biodiversity modelling: 1990, 2050, 2070, 2090; GFDL and ACCESS1.0; RCP 4.5, 8.5


A selection of 9sec gridded National climate change variables for biodiversity modelling. This collection represents 30-year averages centred on each of 1990, 2050, 2070, 2090. Projected future climates were generated by applying within-model changes for two circulation model outputs: GFDL and ACCESS1.0; and for two representative concentration pat... more


Climate Change Processes


https://doi.org/10.25919/5b989f0b36bab


1990


2090


Tom Harwood
Tom.Harwood@csiro.au

rainfall temperature climate change 1990 2050 2070 2090 GFDL ACCESS RCP 4.5 RCP 8.5


:

New developments and applications in the ANUCLIM spatial climatic and bioclimatic modelling package

Attribution
:

Climate change refugia for terrestrial biodiversity: Defining areas that promote species persistence and ecosystem resilience in the face of global climate change

Attribution
:

Which environmental variables should I use in my biodiversity model?

Attribution
:

GFDL’s ESM2 global coupled climate–carbon earth system models

Attribution
:

The ACCESS coupled model: description, control climate and evaluation

Attribution

MethodsSummary_ClimateVariables.pdf


Climate surfaces for the present were based on the ANUCLIM 6.1 (Xu and Hutchinson, 2011) 30 year average climate surfaces for Australia (1976-2005), with elevational lapse rate correction applied over the 9s GEODATA digital elevation model (Hutchinson et al , 2008). Radiative correction derived from the same DEM was applied to radiation and maximum temperature before calculation of evaporation, using the CSIRO TerraFormer software. Summary statistics for each variable were then calculated including variables described in Williams et al (2012: Which environmental variables should I use in my biodiversity model? International Journal of Geographic Information Sciences 26(11), 2009-2047. DOI: 10.1080/13658816.2012.698015.). Details are given in the short summary report by Tom Harwood, Noboru Ota, Justin Perry, Kristen Williams, Ian Harman, Simon Ferrier (2014) gridded continental climate variables for Australia: November 2014. CSIRO Land and Water, Canberra. Attached with the collection. Key published references: Reside AE, VanDerWal J, Phillips B, Shoo L, Rosauer D, Anderson BA, Welbergen J, Moritz C, Ferrier S, Harwood TD, Williams KJ, Mackey B, Hugh S and Williams SE (2013) Climate change refugia for terrestrial biodiversity: Defining areas that promote species persistence and ecosystem resilience in the face of global climate change. National Climate Change Adaptation Research Facility, Griffith University, Gold Coast, Qld. Xu T and Hutchinson MF (2013) New developments and applications in the ANUCLIM spatial climatic and bioclimatic modelling package. Environmental Modelling & Software 40(0), 267-279. DOI: http://dx.doi.org/10.1016/j.envsoft.2012.10.003. ACCESS: Bi D, Dix M, Marsland SJ, O’Farrell S, Rashid HA, Uotila P, Hirst AC, Kowalczyk E, Golebiewski M, Sullivan A, Yan H, Hannah N, Franklin C, Sun Z, Vohralik P, Watterson I, Zhou X, Fiedler R, Collier M, Ma Y, Noonan J, Stevens L, Uhe P, Zhu H, Griffies SM, Hill R, Harris C and Puri K (2013) The ACCESS coupled model: description, control climate and evaluation. Australian Meteorological and Oceanographic Journal 63(1), 41-64. GFDL: Dunne JP, John JG, Shevliakova E, Stouffer RJ, Krasting JP, Malyshev SL, Milly PCD, Sentman LT, Adcroft AJ, Cooke W, Dunne KA, Griffies SM, Hallberg RW, Harrison MJ, Levy H, Wittenberg AT, Phillips PJ and Zadeh N (2013) GFDL’s ESM2 global coupled climate–carbon earth system models. Part II: Carbon system formulation and baseline simulation characteristics. Journal of Climate 26(7), 2247-2267. DOI: 10.1175/JCLI-D-12-00150.1.


Climate scenario data downscaling acknowledgements: Tom Harwood, Randall Donohue, Ian Harman, Tim McVicar, Noboru Ota, Justin Perry, Kristen J Williams. This dataset.


Creative Commons Attribution 4.0 International Licence


CSIRO (Australia)


Harwood, Tom; Donohue, Randall; Harman, Ian; McVicar, Tim; Ota, Noboru; Perry, Justin; Williams, Kristen (2014): A selection of 9s gridded climate change variables for continental Australia for biodiversity modelling: 1990, 2050, 2070, 2090; GFDL and ACCESS1.0; RCP 4.5, 8.5. v3. CSIRO. Data Collection. https://doi.org/10.4225/08/<NNNNNNNNNNN> https://doi.org/10.25919/5b989f0b36bab


All Rights (including copyright) CSIRO 2014.


The metadata and files (if any) are available to the public.

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Location Details

8°0′0″ S


43°44′33″ S


112°54′0″ E


154°0′0″ E


GDA94


More about this Collection

Tom Harwood


Research Scientist





Grid




eng


UTF8


Climatology/Meteorology/Atmosphere


About this Project

1173.3 WPC Global Protected Area Assessm


This project employs macroecological modelling and analysis techniques pioneered by CSIRO to assess present and future representation of terrestrial biodiversity within the world’s protected-area system. The project aims to address four main questions: 1. How adequately does the world’s protected-area system represent current patterns of compositio... more


Kristen Williams


climate change scenarios


Generate climate variables for baseline and climate change modelling of biodiversity.


Modelling


ANUCLIM 6.1 and CSIRO TerraFormer software


Tom Harwood


Randall Donohue


Ian Harman


Tim McVicar


Noboru Ota


Justin Perry


Kristen Williams


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