Dataset

Monthly daily incident solar radiation: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2012

National Computational Infrastructure
87 linked Records:
Bradley Evans (Principal investigator ) Janet Stein (Principal investigator ) Luigi Renzullo (Principal investigator , Resource provider ) Michael Hutchinson (Principal investigator , Point of contract )
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://datamgt.nci.org.au:8080/geonetwork/srv/en/metadata.show?uuid=eMAST_ANUClimate_mon_rrad_v1m0_1970_2012&rft.title=Monthly daily incident solar radiation: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2012&rft.identifier=http://datamgt.nci.org.au:8080/geonetwork/srv/en/metadata.show?uuid=eMAST_ANUClimate_mon_rrad_v1m0_1970_2012&rft.publisher=National Computational Infrastructure&rft.description=Mean daily incident solar radiation of each month, for the Australian continent between 1970-2012. Monthly solar radiation regulates rates of plant growth. Modelled by expressing observed monthly solar radiation as normalised anomalies with respect to a standard Angstrom equation that expresses monthly solar radiation in terms of astonomically determined parameters and relative sunshine duration, as described in Hutchinson et al. (1984). The monthly anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and the proportion of wet days in the month using ANUSPLIN Version 4.5. This anomaly method provided a more direct, and more statistically robust, representation of the impact of precipitation on solar radiation than the method described in Hutchinson et al. (1984). The proportion of wet days, as provided by eMAST_ANUClimate_mon_pwet_v1m0_1970_2012, acted as simple surrogate for relative sunshine duration. There were on average 645 observed solar radiation totals for each month between 1970 and 1996 at 64 stations across Australia obtained from the Bureau of Meteorology. Automated quality assessment rejected on average 9 data values per month with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 1.15 MJ m-2 day-1 (6% of the mean). A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly solar radiation grids is in preparation.&rft.creator=Michael Hutchinson &rft.date=2014&rft.coverage=northlimit=-9; southlimit=-43.74; westlimit=112.9; eastLimit=154; projection=GDA94&rft.coverage=northlimit=-9; southlimit=-43.74; westlimit=112.9; eastLimit=154; projection=GDA94&rft_rights=Copyright 2014 ANU. Rights owned by The Australian National University (ANU). Rights licensed subject to TERN Attribution Licence (TERN-BY) http://tern.org.au/datalicence/TERN-BY/1.0/&rft_subject=Climatology Meteorology Atmosphere &rft_subject=Solar Radiation&rft_subject=Earth Science&rft_subject=Atmosphere&rft_subject=Atmospheric Radiation&rft_subject=Earth Sciences > Atmospheric Sciences = 0401&rft_subject=Atmospheric Sciences&rft_subject=Earth Sciences&rft.type=dataset&rft.language=English Go to Data Providers

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Copyright 2014 ANU. Rights owned by The Australian National University (ANU). Rights licensed subject to TERN Attribution Licence (TERN-BY) http://tern.org.au/datalicence/TERN-BY/1.0/

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Brief description

Mean daily incident solar radiation of each month, for the Australian continent between 1970-2012. Monthly solar radiation regulates rates of plant growth. Modelled by expressing observed monthly solar radiation as normalised anomalies with respect to a standard Angstrom equation that expresses monthly solar radiation in terms of astonomically determined parameters and relative sunshine duration, as described in Hutchinson et al. (1984). The monthly anomalies were interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and the proportion of wet days in the month using ANUSPLIN Version 4.5. This anomaly method provided a more direct, and more statistically robust, representation of the impact of precipitation on solar radiation than the method described in Hutchinson et al. (1984). The proportion of wet days, as provided by eMAST_ANUClimate_mon_pwet_v1m0_1970_2012, acted as simple surrogate for relative sunshine duration. There were on average 645 observed solar radiation totals for each month between 1970 and 1996 at 64 stations across Australia obtained from the Bureau of Meteorology. Automated quality assessment rejected on average 9 data values per month with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 1.15 MJ m-2 day-1 (6% of the mean). A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly solar radiation grids is in preparation.

Notes

These data can be freely downloaded and used subject to the TERN-BY licence.
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.data@mq.edu.au). Please send reprints/citations of papers or oral presentations to the eMAST office. Citation: Michael Hutchinson, Jennifer Kesteven, 2014. Monthly daily incident solar radiation: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2012. 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].
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uri : TBA

Created: 20140915

Data time period: 01 01 1976 to 31 12 2005

154,-9 154,-43.74 112.9,-43.74 112.9,-9 154,-9

133.45,-26.37

text: northlimit=-9; southlimit=-43.74; westlimit=112.9; eastLimit=154; projection=GDA94

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Identifiers
  • Local : eMAST_ANUClimate_mon_rrad_v1m0_1970_2012
  • global : NCI/eMAST_ANUClimate_mon_rrad_v1m0_1970_2012
  • Local : To be added