Data

Climate Victoria: Minimum Temperature (2DS-E; 9 second, approx. 250 m)

Commonwealth Scientific and Industrial Research Organisation
Stewart, Stephen ; 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:doi10.25919/5e5da54a3b98a&rft.title=Climate Victoria: Minimum Temperature (2DS-E; 9 second, approx. 250 m)&rft.identifier=https://doi.org/10.25919/5e5da54a3b98a&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Daily (1981-2019), monthly (1981-2019) and monthly mean (1981-2010) surfaces of minimum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using bivariate splines (latitude and longitude) with partial dependence upon elevation.\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 bivariate splines (latitude and longitude as spline variables) with partial dependence upon elevation. All models were fit and 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 (2DS-E):\nAccuracy assessment was conducted with leave-one-out cross validation. \nMean monthly minimum temperature RMSE = 0.96 °C\nDaily minimum temperature RMSE = 1.81 °C\n\nPlease refer to the linked manuscript for further details.\n&rft.creator=Stewart, Stephen &rft.creator=Nitschke, Craig &rft.date=2020&rft.edition=v4&rft.relation=https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.4902&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) University of Melbourne, CSIRO 2017.&rft_subject=climate&rft_subject=weather&rft_subject=daily&rft_subject=monthly&rft_subject=climate normals&rft_subject=temperature&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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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

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

All Rights (including copyright) University of Melbourne, CSIRO 2017.

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Brief description

Daily (1981-2019), monthly (1981-2019) and monthly mean (1981-2010) surfaces of minimum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using bivariate splines (latitude and longitude) with partial dependence upon elevation.
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 bivariate splines (latitude and longitude as spline variables) with partial dependence upon elevation. All models were fit and 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 (2DS-E):
Accuracy assessment was conducted with leave-one-out cross validation.
Mean monthly minimum temperature RMSE = 0.96 °C
Daily minimum temperature RMSE = 1.81 °C

Please refer to the linked manuscript for further details.

Available: 2020-06-14

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

This dataset is part of a larger collection

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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