Data

3 arcsecond climatology for continental Australia 1976-2005: Summary variables with elevation and radiative adjustment for modelling biodiversity patterns

Commonwealth Scientific and Industrial Research Organisation
Harwood, Thomas ; King, Darran ; Nolan, Martin ; Gallant, John ; Ware, Chris ; Austin, Jenet ; Williams, Kristen
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/gayv-1e32&rft.title=3 arcsecond climatology for continental Australia 1976-2005: Summary variables with elevation and radiative adjustment for modelling biodiversity patterns&rft.identifier=10.25919/gayv-1e32&rft.publisher=Commonwealth Scientific and Industrial Research Organisation (CSIRO)&rft.description=A suite of 3 arsecond resolution climate surfaces for the Australian continent, with adjustment for the radiative effects of terrain. This collection represents a 30 year average centred on 1990 (ANUCLIM derived). Precipitation, temperature, evaporation and water balance data are presented as annual means or totals and maximum and minimum monthly values. Data are provided as GeoTiffs. Spatial reference system is WGS84 geographics The data were generated using the CSIRO 'terraformer' software. A short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files.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 3 arcsecond SRTM-derived digital elevation model (Gallant et al. 2009). 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 appendices provided with Williams et al (2012). A short methods summary is provided in the file 9sClimateMethodsSummary.pdf (Harwood et al. 2018) for further information. Additional summary information is provided in ClimateVariables_v1.docx' (Williams et al. 2014). These 3 arcsecond climate variables were incorporated into the TERN 90m Digital Soil Mapping Raster Covariate Stack (Searle et al. 2022). REFERENCES Gallant J, Wilson N, Tickle PK, Dowling T and Read A (2009) 3 second SRTM Derived Digital Elevation Model (DEM) Version 1.0. Record 1.0. Geoscience Australia, Canberra, Australia. DOI: http://pid.geoscience.gov.au/dataset/ga/69888. Harwood T, Donohue R, Harman I, McVicar T, Ota N, Perry J and Williams K (2018) 9-second gridded climate surfaces for Australia: short summary In: Harwood T et al. (eds) 9s climatology for continental Australia 1976-2005: Summary variables with elevation and radiative adjustment. v3. CSIRO. Data Collection. CSIRO Land and Water, Canberra, Australia, 11. DOI: https://doi.org/10.4225/08/5afa9f7d1a552. Williams KJ, Belbin L, Austin MP, Stein J and Ferrier S (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. Searle R, Malone B, Wilford J, Austin J, Ware C, Webb M, Roman Dobarco M and Van Niel T (2022) TERN Digital Soil Mapping Raster Covariate Stacks. CSIRO. Data Collection, Canberra, Australia. DOI: https://doi.org/10.25919/jr32-yq58. Xu T and Hutchinson M (2011) ANUCLIM Version 6.1 User Guide. The Australian National University, Fenner School of Environment and Society, Canberra. .&rft.creator=Harwood, Thomas &rft.creator=King, Darran &rft.creator=Nolan, Martin &rft.creator=Gallant, John &rft.creator=Ware, Chris &rft.creator=Austin, Jenet &rft.creator=Williams, Kristen &rft.date=2023&rft.edition=v1&rft.relation=https://fennerschool.anu.edu.au/research/products/anuclim&rft.relation=https://www.tandfonline.com/doi/full/10.1080/13658816.2012.698015&rft.coverage=northlimit=-8.0000; southlimit=-43.7425; westlimit=112.9000; eastLimit=154.0000; projection=GDA94&rft_rights=All Rights (including copyright) CSIRO 2018.&rft_rights=Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/&rft_subject=average climate&rft_subject=1975&rft_subject=2005&rft_subject=1990-centred&rft_subject=30 year&rft_subject=minumum temperature&rft_subject=precipitation&rft_subject=evaporation&rft_subject=radiation&rft_subject=seasonality&rft_subject=digital elevation model&rft_subject=ANUCLIM&rft_subject=Australia&rft_subject=TERN&rft_subject=biodiversity&rft_subject=NARCLIM&rft_subject=Conservation and biodiversity&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Climatology&rft_subject=Climate change science&rft_subject=EARTH SCIENCES&rft_subject=Environmental assessment and monitoring&rft.type=dataset&rft.language=English Access the data

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All Rights (including copyright) CSIRO 2018.

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Brief description

A suite of 3 arsecond resolution climate surfaces for the Australian continent, with adjustment for the radiative effects of terrain. This collection represents a 30 year average centred on 1990 (ANUCLIM derived). Precipitation, temperature, evaporation and water balance data are presented as annual means or totals and maximum and minimum monthly values.

Data are provided as GeoTiffs. Spatial reference system is WGS84 geographics

The data were generated using the CSIRO 'terraformer' software. A short methods summary is provided in the file 9sClimateMethodsSummary.pdf for further information, including a nomenclature for files.

Lineage

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 3 arcsecond SRTM-derived digital elevation model (Gallant et al. 2009). 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 appendices provided with Williams et al (2012). A short methods summary is provided in the file 9sClimateMethodsSummary.pdf (Harwood et al. 2018) for further information. Additional summary information is provided in ClimateVariables_v1.docx' (Williams et al. 2014). These 3 arcsecond climate variables were incorporated into the TERN 90m Digital Soil Mapping Raster Covariate Stack (Searle et al. 2022). REFERENCES Gallant J, Wilson N, Tickle PK, Dowling T and Read A (2009) 3 second SRTM Derived Digital Elevation Model (DEM) Version 1.0. Record 1.0. Geoscience Australia, Canberra, Australia. DOI: http://pid.geoscience.gov.au/dataset/ga/69888. Harwood T, Donohue R, Harman I, McVicar T, Ota N, Perry J and Williams K (2018) 9-second gridded climate surfaces for Australia: short summary In: Harwood T et al. (eds) 9s climatology for continental Australia 1976-2005: Summary variables with elevation and radiative adjustment. v3. CSIRO. Data Collection. CSIRO Land and Water, Canberra, Australia, 11. DOI: https://doi.org/10.4225/08/5afa9f7d1a552. Williams KJ, Belbin L, Austin MP, Stein J and Ferrier S (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. Searle R, Malone B, Wilford J, Austin J, Ware C, Webb M, Roman Dobarco M and Van Niel T (2022) TERN Digital Soil Mapping Raster Covariate Stacks. CSIRO. Data Collection, Canberra, Australia. DOI: https://doi.org/10.25919/jr32-yq58. Xu T and Hutchinson M (2011) ANUCLIM Version 6.1 User Guide. The Australian National University, Fenner School of Environment and Society, Canberra. .

Data time period: 1976-01-01 to 2005-12-31

This dataset is part of a larger collection

Click to explore relationships graph

154,-8 154,-43.7425 112.9,-43.7425 112.9,-8 154,-8

133.45,-25.87125

Identifiers