Dataset

Daily maximum temperature: ANUClimate 1.1, 0.01 degree, Australian Coverage, 1970-2014

Ecosystem Modelling and Scaling Infrastructure (eMAST) Facility
Dr. Jennifer Kesteven (Author) Dr. Tingbao Xu (Author) Prof. Michael Hutchinson (Principal investigator ) Prof. Michael Hutchison (Principal investigator )
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=http://geonetworkrr9.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/e6452c77-fcce-4a5f-828f-9111e4e9b70c&rft.title=Daily maximum temperature: ANUClimate 1.1, 0.01 degree, Australian Coverage, 1970-2014&rft.identifier=http://geonetworkrr9.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/e6452c77-fcce-4a5f-828f-9111e4e9b70c&rft.publisher=The University of Sydney&rft.description=Daily maximum temperature for the Australian continent between 1970-2014. Daily maximum temperature regulates rates of plant growth and crop yield. Modelled by expressing each daily value as a difference anomaly with respect to the gridded 1976-2005 monthly mean daily maximum temperatures as provided by ANUClimate_v1-0_temperature-max_monthly-mean_0-01deg_1976-2005. The daily anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. There was an average of 675 Bureau of Meteorology data points available for each day between 1970 and 2014. Automated quality assessment rejected on average 2.6 data values per day with extreme studentised residuals. These were commonly associated with days following missing observations. Cross validation residuals for all accepted data points had a mean absolute value of 0.76 degrees Celsius and a root mean square value of 1.06 degrees Celsius. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated daily maximum temperature grids is in preparation.&rft.creator=Dr. Tingbao Xu &rft.creator=Dr. Jennifer Kesteven &rft.creator=Prof. Michael Hutchinson &rft.creator=Prof. Michael Hutchison &rft.date=2018&rft.coverage=northlimit=-9; southlimit=-44; westlimit=112; eastLimit=154&rft.coverage=northlimit=-9; southlimit=-44; westlimit=112; eastLimit=154&rft_rights=Copyright 2017 ANU. Rights owned by The Australian National University (ANU).&rft_rights=http://www.anu.edu.au/copyright&rft_rights=These data can be freely downloaded and used. Subject to the CCBY 4.0 licence.&rft_rights=&rft_subject=Climatology Meteorology Atmosphere &rft_subject=Atmospheric Sciences&rft_subject=Earth Sciences&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

Copyright 2017 ANU. Rights owned by The Australian National University (ANU).

http://www.anu.edu.au/copyright

These data can be freely downloaded and used. Subject to the CCBY 4.0 licence.

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Full description

Daily maximum temperature for the Australian continent between 1970-2014. Daily maximum temperature regulates rates of plant growth and crop yield. Modelled by expressing each daily value as a difference anomaly with respect to the gridded 1976-2005 monthly mean daily maximum temperatures as provided by ANUClimate_v1-0_temperature-max_monthly-mean_0-01deg_1976-2005. The daily anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. There was an average of 675 Bureau of Meteorology data points available for each day between 1970 and 2014. Automated quality assessment rejected on average 2.6 data values per day with extreme studentised residuals. These were commonly associated with days following missing observations. Cross validation residuals for all accepted data points had a mean absolute value of 0.76 degrees Celsius and a root mean square value of 1.06 degrees Celsius. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated daily maximum temperature grids is in preparation.

Notes

Daily temperature regulates rates of plant growth.
The creation of this data was funded by the University of Sydney under the National Collaborative Research Infrastructure Strategy (NCRIS) 2013-2014 budget initiative of the Australian Government Department of Industry, the Australian Government Department of Environment in support of the National Carbon Accounting System, and the Australian National University. Any publication of this data or works derived from these data, must include the following citation and prior email notification (anuclimate@gmail.com). Please send reprints/citations of papers or oral presentations to the office. Citation: Michael Hutchinson, Jennifer Kesteven, Tingbao Xu, 2014. Daily maximum temperature: ANUClimate 1.1, 0.01 degree, Australian Coverage, 1970-2014. Australian National University, Canberra, Australia. Obtained from http://dap.nci.org.au, made available by the University of Sydney. Accessed [Date accessed].
Hutchinson, M.F., Mckenney, D.W., Lawrence, K., Pedlar, J., Hopkinson, R., Milewska, E. and Papadopol, P. 2009. Development and testing of Canada-wide interpolated spatial models of daily minimum/maximum temperature and precipitation for 1961-2003. Journal of Applied Meteorology and Climatology 48: 725–741, http://dx.doi.org/10.1175/2008JAMC1979.1
Hutchinson, M.F. and Xu, T. 2013. ANUSPLIN version 4.4 User Guide. Fenner School of Environment and Society, Australian National University, Canberra, http://fennerschool.anu.edu.au/files/anusplin44.pdf

Created: 30 06 2014

Data time period: to 2014-12-31

This dataset is part of a larger collection

154,-9 154,-44 112,-44 112,-9 154,-9

133,-26.5

text: northlimit=-9; southlimit=-44; westlimit=112; eastLimit=154

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Identifiers
  • Local : e6452c77-fcce-4a5f-828f-9111e4e9b70c
  • global : eMAST/e6452c77-fcce-4a5f-828f-9111e4e9b70c
  • Local : ANUClimate_v1-1_temperature-max_daily_0-01deg_1970-2014