Data

Climate Victoria: Maximum Temperature (3DS-M; 9 second, approx. 250 m)

Commonwealth Scientific and Industrial Research Organisation
Stewart, Stephen ; Nitschke, Craig
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=info:doi10.25919/5e5d9033d8cc7&rft.title=Climate Victoria: Maximum Temperature (3DS-M; 9 second, approx. 250 m)&rft.identifier=https://doi.org/10.25919/5e5d9033d8cc7&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Daily (1981-2019), monthly (1981-2019) and monthly mean (1981-2010) surfaces of maximum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using trivariate splines (latitude, longitude and elevation) with partial dependence upon standardised day time MODIS land surface temperature. \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) with partial dependence upon standardised day time MODIS land surface temperature. 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.\n2. Paget, MJ, King EA. 2008. MODIS Land data sets for the Australian region. CSIRO Marine and Atmospheric Research. Canberra, Australia. https://doi.org/10.4225/08/585c173339358\nC) Model performance (3DS):\nAccuracy assessment was conducted with leave-one-out cross validation. \nMean monthly maximum temperature RMSE = 0.48 °C\nDaily maximum temperature RMSE = 1.19 °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) CSIRO, University of Melbourne 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=modis&rft_subject=land surface temperature&rft_subject=Climatology&rft_subject=Climate change science&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details
CC-BY

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) CSIRO, University of Melbourne 2017.

Access:

Open view details

Accessible for free

Contact Information



Brief description

Daily (1981-2019), monthly (1981-2019) and monthly mean (1981-2010) surfaces of maximum temperature (approx. 1.2 m from ground) across Victoria at a spatial resolution of 9 seconds (approx. 250 m). Surfaces are developed using trivariate splines (latitude, longitude and elevation) with partial dependence upon standardised day time MODIS land surface temperature.
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) with partial dependence upon standardised day time MODIS land surface temperature. 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.
2. Paget, MJ, King EA. 2008. MODIS Land data sets for the Australian region. CSIRO Marine and Atmospheric Research. Canberra, Australia. https://doi.org/10.4225/08/585c173339358
C) Model performance (3DS):
Accuracy assessment was conducted with leave-one-out cross validation.
Mean monthly maximum temperature RMSE = 0.48 °C
Daily maximum temperature RMSE = 1.19 °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

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover