Data

Climate Victoria: 9am Vapour Pressure (9 second, approx. 250 m)

Commonwealth Scientific and Industrial Research Organisation
Stewart, Stephen ; Fedrigo, Melissa ; Roxburgh, Stephen ; Kasel, Sabine ; Nitschke, Craig
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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=info:doi10.25919/5e5701b5df4d8&rft.title=Climate Victoria: 9am Vapour Pressure (9 second, approx. 250 m)&rft.identifier=https://doi.org/10.25919/5e5701b5df4d8&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Daily (1981-2019), monthly (1981-2019) and monthly mean (1981-2010) surfaces of 9am vapour pressure across Victoria at a spatial resolution of 9 seconds (approx. 250 m). \nLineage: A) Data modelling:\n1. Weather station observations collected by the Australian Bureau of Meteorology were obtained via the SILO patched point dataset (https://data.qld.gov.au/dataset/silo-patched-point-datasets-for-queensland), followed by the removal of all interpolated records.\n2. Climate normals representing the 1981-2010 reference period were calculated for each weather station. A regression patching procedure (Hopkinson et al. 2012) was used to correct for biases arising due to differences in record length where possible.\n3. Climate normals for each month were interpolated using trivariate splines (latitude, longitude and elevation as spline variables). All data was interpolated using ANUSPLIN 4.4 (Hutchinson & Xu 2013). \n4. Daily anomalies were calculated by subtracting daily observations from climate normals and interpolated with full spline dependence upon latitude and longitude.\n5. Interpolated anomalies were added to interpolated climate normals to obtain the final daily surfaces. \n6. Monthly surfaces are calculated as an aggregation of the daily product.\nB) Spatial data inputs:\n1. Fenner School of Environment and Society and Geoscience Australia. 2008. GEODATA 9 Second Digital Elevation Model (DEM-9S) Version 3.\nC) Model performance:\nAccuracy assessment was conducted with leave-one-out cross validation. \nMean monthly vapour pressure: RMSE = 0.38 hPA\nDaily vapour pressure: RMSE = 1.24 hPa&rft.creator=Stewart, Stephen &rft.creator=Fedrigo, Melissa &rft.creator=Roxburgh, Stephen &rft.creator=Kasel, Sabine &rft.creator=Nitschke, Craig &rft.date=2020&rft.edition=v5&rft.relation=https://www.mdpi.com/2072-4292/11/1/93&rft.coverage=westlimit=140.95999999999998; southlimit=-39.16; eastlimit=149.9775; northlimit=-33.980000000000004; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO, The University of Melbourne 2020.&rft_subject=climate&rft_subject=weather&rft_subject=daily&rft_subject=monthly&rft_subject=climate normals&rft_subject=vapour pressure&rft_subject=humidity&rft_subject=interpolation&rft_subject=victoria&rft_subject=Climatology&rft_subject=Climate change science&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data

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Data is accessible online and may be reused in accordance with licence conditions

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Brief description

Daily (1981-2019), monthly (1981-2019) and monthly mean (1981-2010) surfaces of 9am vapour pressure across Victoria at a spatial resolution of 9 seconds (approx. 250 m).
Lineage: A) Data modelling:
1. Weather station observations collected by the Australian Bureau of Meteorology were obtained via the SILO patched point dataset (https://data.qld.gov.au/dataset/silo-patched-point-datasets-for-queensland), followed by the removal of all interpolated records.
2. Climate normals representing the 1981-2010 reference period were calculated for each weather station. A regression patching procedure (Hopkinson et al. 2012) was used to correct for biases arising due to differences in record length where possible.
3. Climate normals for each month were interpolated using trivariate splines (latitude, longitude and elevation as spline variables). All data was interpolated using ANUSPLIN 4.4 (Hutchinson & Xu 2013).
4. Daily anomalies were calculated by subtracting daily observations from climate normals and interpolated with full spline dependence upon latitude and longitude.
5. Interpolated anomalies were added to interpolated climate normals to obtain the final daily surfaces.
6. Monthly surfaces are calculated as an aggregation of the daily product.
B) Spatial data inputs:
1. Fenner School of Environment and Society and Geoscience Australia. 2008. GEODATA 9 Second Digital Elevation Model (DEM-9S) Version 3.
C) Model performance:
Accuracy assessment was conducted with leave-one-out cross validation.
Mean monthly vapour pressure: RMSE = 0.38 hPA
Daily vapour pressure: RMSE = 1.24 hPa

Available: 2020-06-14

Data time period: 1981-01-01 to 2019-12-31

149.9775,-33.98 149.9775,-39.16 140.96,-39.16 140.96,-33.98 149.9775,-33.98

145.46875,-36.57

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