Dataset

Proportion of days per month with precip > 0.2mm : 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_pwet_v1m0_1970_2012&rft.title=Proportion of days per month with precip > 0.2mm : 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_pwet_v1m0_1970_2012&rft.publisher=National Computational Infrastructure&rft.description=Proportion of days in each month with precipitation above 0.2 mm for the Australian continent between 1970-2012. The proportion of wet days per month is useful for estimating evaporation rates and water need and use, and also for estimating solar radiation. Modelled by using ANUSPLIN Version 4.5 to fit trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation. Station elevations were 0.05 degree local averages of grid values from the GEODATA 9 second DEM version 3 as provided by eMAST_ANUClimate_fx_el05_v1m0. Anomaly based interpolation was not used because it gave no improvement over direct interpolation, due to the extensive daily precipitation network and the strong spatial coherence of daily rainfall occurrence. Monthly data values were obtained from Bureau of Meteorology daily rainfall data at stations where there were at least 25 days of record and no accumulated days of record, giving an average of 6320 data points per month between 1970 and 2012. Automated quality assessment rejected on average 35 data values per month (0.006%) with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 0.060, corresponding to a root men square error in estimating the number of wet days of around 1.8 days per month. A comprehensive assessment of the analysis of the final interpolated 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=Precipitation&rft_subject=Earth Science&rft_subject=Atmosphere&rft_subject=Earth Sciences > Atmospheric Sciences = 0401&rft_subject=Atmospheric Water Vapor&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

Proportion of days in each month with precipitation above 0.2 mm for the Australian continent between 1970-2012. The proportion of wet days per month is useful for estimating evaporation rates and water need and use, and also for estimating solar radiation. Modelled by using ANUSPLIN Version 4.5 to fit trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation. Station elevations were 0.05 degree local averages of grid values from the GEODATA 9 second DEM version 3 as provided by eMAST_ANUClimate_fx_el05_v1m0. Anomaly based interpolation was not used because it gave no improvement over direct interpolation, due to the extensive daily precipitation network and the strong spatial coherence of daily rainfall occurrence. Monthly data values were obtained from Bureau of Meteorology daily rainfall data at stations where there were at least 25 days of record and no accumulated days of record, giving an average of 6320 data points per month between 1970 and 2012. Automated quality assessment rejected on average 35 data values per month (0.006%) with extreme studentised residuals. The root mean square of all individual cross validation residuals provided by the spline analysis is 0.060, corresponding to a root men square error in estimating the number of wet days of around 1.8 days per month. A comprehensive assessment of the analysis of the final interpolated 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, Tingbao Xu, 2014. Wet days per month: 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].
Reuse Information


uri : TBA

Created: 20140904

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_pwet_v1m0_1970_2012
  • global : NCI/eMAST_ANUClimate_mon_pwet_v1m0_1970_2012
  • Local : To be added