Data

Climate Indices based on the Australian Gridded Climate Data (AGCD) v1.0

Also known as: AGCD_Indices
CLEX
Rachael Isphording (Aggregated by, Principal investigator) ARC Centre of Excellence for Climate Extremes Data Manager (Managed by) ARC Centre of Excellence for Climate System Science Data Manager (Managed by) Ying Lung Liu (Aggregated by)
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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:doi10.25914/8r7z-my44&rft.title=Climate Indices based on the Australian Gridded Climate Data (AGCD) v1.0&rft.identifier=10.25914/8r7z-my44&rft.publisher=CLEX&rft.description=Using the Climpact software , we have calculated the full set of climate indices for the Australian Gridded Climate Data (AGCD) v1.0.0 at four spatial resolutions: 1x1 deg, 0.5x0.5 deg, 0.25x0.25 deg, and the original 0.05x0.05 deg grid. Threshold indices are based on the reference period 1971-2000. Filenames are organized as: {climate index}_{temporal resolution}_agcd_historical_{spatial resolution}_{time period available} Possible temporal resolution values are: MON for monthly data ANN for annual data Possible spatial resolution values are: r005 for 0.05x0.05 degree resolution r025 for 0.25x0.25 degree resolution r050 for 0.5x0.5 degree resolution r1 for 1x1 degree resolution We used bilinear interpolation to interpolate the daily AGCD tmin and tmax files to the coarser resolutions, and first-order conservative remapping to interpolate the daily precipitation files to a coarser resolution. Interpolation was completed using CDO prior to running Climpact.  More information about the AGCD dataset can be found at: https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f1801_8183_3094_1341 More information about Climpact and the climate indices can be found at: https://climpact-sci.org/&rft.creator=Rachael Isphording&rft.date=2023&rft.coverage=northlimit=-10.25; southlimit=-44.5; westlimit=156; eastLimit=112; projection=WGS84 &rft_rights=Users are free to share, copy and redistribute the material in any medium or format; adapt, remix, transform, and build upon the material for any purpose, even commercially. Users must give appropriate credit, provide a link to the license, and indicate if changes were made. They may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use. They may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.&rft_rights=Creative Commons - Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/legalcode&rft_subject=Climatology&rft_subject=Climate change science&rft_subject=EARTH SCIENCES&rft_subject=Adverse weather events&rft_subject=Atmospheric sciences&rft_subject=extreme indices&rft_subject=precipitation&rft_subject=Climpact&rft_subject=ETCCDI&rft_subject=temperature&rft_subject=observations&rft.type=dataset&rft.language=English
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Creative Commons - Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/legalcode

Users are free to share, copy and redistribute the material in any medium or format; adapt, remix, transform, and build upon the material for any purpose, even commercially. Users must give appropriate credit, provide a link to the license, and indicate if changes were made. They may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use. They may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

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Data will be shared freely online on the NCI data catalogue

Full description

Using the Climpact software , we have calculated the full set of climate indices for the Australian Gridded Climate Data (AGCD) v1.0.0 at four spatial resolutions: 1x1 deg, 0.5x0.5 deg, 0.25x0.25 deg, and the original 0.05x0.05 deg grid. Threshold indices are based on the reference period 1971-2000.

Filenames are organized as: {climate index}_{temporal resolution}_agcd_historical_{spatial resolution}_{time period available}

Possible temporal resolution values are:

  • MON for monthly data
  • ANN for annual data

Possible spatial resolution values are:

  • r005 for 0.05x0.05 degree resolution
  • r025 for 0.25x0.25 degree resolution
  • r050 for 0.5x0.5 degree resolution
  • r1 for 1x1 degree resolution

We used bilinear interpolation to interpolate the daily AGCD tmin and tmax files to the coarser resolutions, and first-order conservative remapping to interpolate the daily precipitation files to a coarser resolution. Interpolation was completed using CDO prior to running Climpact. 

More information about the AGCD dataset can be found at: https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f1801_8183_3094_1341

More information about Climpact and the climate indices can be found at: https://climpact-sci.org/

Created: 2023-07-05

Data time period: 1900-01-01 to 2022-12-31

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Subjects
Adverse Weather Events | Atmospheric Sciences | Climate Change Science | Climatology | Climpact | Earth Sciences | ETCCDI | extreme indices | observations | precipitation | temperature |

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Other Information
Detailed documentation of the AGCD dataset used to calculate the indices

uri : http://www.bom.gov.au/jshess/docs/2009/jones_hres.pdf

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