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Average monthly and average annual evaporation data - ARC
## **Abstract** This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. Mean monthly and mean annual evaporation grids. The grids show evaporation values across Australia in the form of two-dimensional array data. The mean data are based on all available stations with at least ten years of records between 1975 and 2005. ## **Purpose** To demonstrate distribution of evaporation values over Arckaringa subregion. ## **Dataset History** Gridded data were generated using the Barnes 2-D meteorological analysis. Approximately 270 stations were used in the analysis. All input station data underwent a high degree of quality control before analysis. Most of the stations used in the analysis have at least 10 years of records, with at least 80% complete data over the recorded period. The evaporation data that were used in producing the grids are from the Bureau of Meteorologys class A pan evaporimeters. ## **Dataset Citation** SA Department of Environment, Water and Natural Resources (2015) Average monthly and average annual evaporation data - ARC. Bioregional Assessment Source Dataset. Viewed 26 May 2016, http://data.bioregionalassessments.gov.au/dataset/1b2b7967-e011-44d2-b8f3-595d57fc8653.
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Evapotranspiration (ET), monthly mean, 2000-2015, Region 17, Continuous Parameter Grid (CPG)
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These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.
Evapotranspiration (ET), monthly mean, 2000-2015, Region 17, Continuous Parameter Grid (CPG)
공공데이터포털
These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.
Evapotranspiration (ET), monthly mean, 2000-2015, Region 17, Continuous Parameter Grid (CPG)
공공데이터포털
These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.
Evapotranspiration (ET), monthly mean, 2000-2015, Region 17, Continuous Parameter Grid (CPG)
공공데이터포털
These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.
Evapotranspiration (ET), monthly mean, 2000-2015, Region 17, Continuous Parameter Grid (CPG)
공공데이터포털
These datasets are continuous parameter grids (CPG) of monthly mean evapotranspiration data for March through September, years 2000 through 2015, in the Pacific Northwest. Source evapotranspiration data was produced using the operational Simplified Surface Energy Balance (SSEBop) model.
Monthly class A pan evaporation: ANUClimate 1.0, 0.01 degree, Australian Coverage, 1970-2014
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Monthly total class A pan evaporation for the Australian continent between 1970-2014. Class A pan evaporation is useful for estimating evaporation rates and water need and use. Modelled by expressing each monthly value as a normalised anomaly with respect to gridded 1976-2005 means and standard deviations for each month. The monthly anomalies have been interpolated by trivariate thin plate smoothing spline functions of longitude, latitude and vertically exaggerated elevation using ANUSPLIN Version 4.5. Station elevations were 0.05 degree local averages of grid values from the GEODATA 9 second DEM version 3 as provided by ANUClimate_v1-0_digital-elevation-model-05deg-average_terrain_0-01deg. Monthly data values were obtained from Bureau of Meterology data at stations where there were at least 25 daily observations in each month, with short records scaled up to the complete month. This gave an average of 249 data points per month between 1970 and 2014. Automated quality assessment rejected on average 0.5 data values per month with extreme studentised residuals. The mean absolute value of all individual cross validation residuals provided by the spline analysis is 15.3 mm (10% of the overall mean). A comprehensive assessment of the analysis and the factors contributing to the quality of the final interpolated monthly rainfall grids is in preparation.
Daily evapotranspiration, 2.5th percentile of the ensemble of model estimates. AWRA 0.5, 0.05 degree, Australian Coverage, 2000-2011
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Modelled evapotranspiration (mm day) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 2.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country.
Daily evapotranspiration, 50th percentile of the ensemble of model estimates. AWRA 0.5, 0.05 degree, Australian Coverage, 2000-2011
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Modelled evapotranspiration (mm day) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 50th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country.
Daily evapotranspiration, 97.5th percentile of the ensemble of model estimates. AWRA 0.5, 0.05 degree, Australian Coverage, 2000-2011
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Modelled evapotranspiration (mm day) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 97.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country.