Dataset

Monthly 1976-2005 mean daily minimum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage

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 )
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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=http://geonetworkrr9.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/aabf33e8-8f3c-4f59-96c1-d1556348aed6&rft.title=Monthly 1976-2005 mean daily minimum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage&rft.identifier=http://geonetworkrr9.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/aabf33e8-8f3c-4f59-96c1-d1556348aed6&rft.publisher=Terrestrial Ecosystem Research Network's (TERN) Ecosystem Modelling and Scaling Infrastructure (eMAST)&rft.description=Monthly mean daily minimum temperature for the Australian continent between 1976-2005. Daily minimum temperature regulates rates of plant growth. Modelled by fitting trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation to observed and estimated monthly 1976-2005 daily minimum temperature means at 1541 Bureau of Meteorology stations. Missing monthly temperature values were estimated by regression with the long term station that provided estimates of the 1976-2005 monthly means with with the least standard error. This was applied to each station with at least 5 years of record between 1921 and 2012. Quality controls were applied to the regression and the surface fitting processes to remove poor quality data. Thus, of 1597 stations with at least 5 years of record, 38 stations had poor regressions with long term stations and a further 18 stations had extreme studentised residuals from initial spline analyses. These were commonly stations with an old or short period of record, or with an imprecise location. The spline analysis also incorporated the impact of distance from the coast as provided by eMAST_ANUClimate_fx_dist_v1m0. The root mean square error of individual cross validation residuals provided by the spline analysis at 225 stations with near complete records, of at least 28 years, is 0.47 degrees Celsius. The incorporation of distance from the coast reduced overall cross validation errors by around 10%. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly mean daily minimum 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 2014 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

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CC-BY

Copyright 2014 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

Monthly mean daily minimum temperature for the Australian continent between 1976-2005. Daily minimum temperature regulates rates of plant growth. Modelled by fitting trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation to observed and estimated monthly 1976-2005 daily minimum temperature means at 1541 Bureau of Meteorology stations. Missing monthly temperature values were estimated by regression with the long term station that provided estimates of the 1976-2005 monthly means with with the least standard error. This was applied to each station with at least 5 years of record between 1921 and 2012. Quality controls were applied to the regression and the surface fitting processes to remove poor quality data. Thus, of 1597 stations with at least 5 years of record, 38 stations had poor regressions with long term stations and a further 18 stations had extreme studentised residuals from initial spline analyses. These were commonly stations with an old or short period of record, or with an imprecise location. The spline analysis also incorporated the impact of distance from the coast as provided by eMAST_ANUClimate_fx_dist_v1m0. The root mean square error of individual cross validation residuals provided by the spline analysis at 225 stations with near complete records, of at least 28 years, is 0.47 degrees Celsius. The incorporation of distance from the coast reduced overall cross validation errors by around 10%. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly mean daily minimum temperature grids is in preparation.

Notes

Daily minimum temperature regulates rates of plant growth.
The creation of this data was funded by the Terrestrial Ecosystem Research Network (TERN) Ecosystem Modelling and Scaling Infrastructure (eMAST) Facility 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 (eMAST.info@gmail.com). Please send reprints/citations of papers or oral presentations to the eMAST office. Citation: Michael Hutchinson, Jennifer Kesteven, Tingbao Xu, 2014. Monthly daily minimum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1976-2005. Australian National University, Canberra, Australia. Obtained from http://dap.nci.org.au, made available by the Ecosystem Modelling and Scaling Infrastructure (eMAST, http://www.emast.org.au) of the Terrestrial Ecosystem Research Network (TERN, http://www.tern.org.au). 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: 15 06 2014

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

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 : aabf33e8-8f3c-4f59-96c1-d1556348aed6
  • global : eMAST/aabf33e8-8f3c-4f59-96c1-d1556348aed6
  • Local : ANUClimate_v1-0_temperature-min_monthly-mean_0-01deg_1976-2005