Data

Monthly daily minimum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2016

Terrestrial Ecosystem Research Network
Jennifer Kesteven ; Tingbao Xu
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://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/6572bca1-dc0d-422e-ac7e-89fbf6236d34&rft.title=Monthly daily minimum temperature: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2016&rft.identifier=http://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/6572bca1-dc0d-422e-ac7e-89fbf6236d34&rft.publisher=NCI Australia&rft.description=Mean daily minimum temperature of each month, for the Australian continent between 1970-2016. Daily temperature regulates rates of plant growth and determines critical conditions such as frost on flowering and fruiting. Modelled by expressing each monthly value as a difference anomaly with respect to the gridded 1976-2005 mean daily minimum temperature for each month as provided by ANUClimate_v1-0_temperature-min_monthly-mean_0-01deg_1976-2005. The monthly anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. Monthly data values were calculated from Bureau of Meteorology daily data at stations where there were at least 25 days of record, giving an average of 634 data points per month between 1970 and 2016. Automated quality assessment rejected on average 2 data values per month with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 0.73 degrees Centigrade. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated grids is in preparation.Mean daily minimum temperature of each month for the Australian continent has been modelled using ANUClimate 1.0.Progress Code: completed&rft.creator=Jennifer Kesteven &rft.creator=Tingbao Xu &rft.edition=1&rft.coverage=northlimit=-9; southlimit=-44; westlimit=112; eastLimit=154; projection=&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=EARTH SCIENCES&rft_subject=Ecosystem Modelling and Scaling Infrastructure&rft_subject=Climate and Bioclimate&rft_subject=ATMOSPHERIC SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
http://creativecommons.org/licenses/by/4.0

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Brief description

Mean daily minimum temperature of each month, for the Australian continent between 1970-2016. Daily temperature regulates rates of plant growth and determines critical conditions such as frost on flowering and fruiting. Modelled by expressing each monthly value as a difference anomaly with respect to the gridded 1976-2005 mean daily minimum temperature for each month as provided by ANUClimate_v1-0_temperature-min_monthly-mean_0-01deg_1976-2005. The monthly anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. Monthly data values were calculated from Bureau of Meteorology daily data at stations where there were at least 25 days of record, giving an average of 634 data points per month between 1970 and 2016. Automated quality assessment rejected on average 2 data values per month with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 0.73 degrees Centigrade. A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated grids is in preparation.

Notes

Data Usage
:Climatology (excl. Climate Change Processes)

Lineage

Mean daily minimum temperature of each month for the Australian continent has been modelled using ANUClimate 1.0.

Progress Code: completed

Notes

Purpose
Daily temperature regulates rates of plant growth and determines critical conditions such as frost on flowering and fruiting.

This dataset is part of a larger collection

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

133,-26.5

Subjects

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ACN 633 798 857