Data

Dynamically downscaled climate monthly data for New South Wales

ARC Centre of Excellence for Climate System Science
Dr De Li Liu (Aggregated by)
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://climddir.org/service/collection/view/dynamically-downscaled-climate-monthly-data-for/&rft.title=Dynamically downscaled climate monthly data for New South Wales&rft.identifier=http://climddir.org/service/collection/view/dynamically-downscaled-climate-monthly-data-for/&rft.publisher=ARC Centre of Excellence for Climate System Science&rft.description=The collection comprises ASCII files of climate data for the entire New South Wales (NSW) state. These files contain monthly minimum and maximum temperature, rainfall and solar radiation data for periods in the 20th and 21st centuries. They are being used by researchers at the Wagga Wagga Agricultural Institute and the University of New South Wales to investigate how the impact of climate change on wheat cropping in NSW may be assessed using the APSIM agricultural model. The collection was derived from a ~10km resolution Regional Climate Model (RCM) simulation. Although derived from a single RCM simulation, the collection demonstrates the type of data that will be available from the ensemble of RCM simulations being run by the New South Wales and Australian Capital Territory Regional Climate Model (NARCliM) project. &rft.creator=Dr De Li Liu&rft.date=2013&rft.coverage=137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064&rft.coverage=137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064&rft.coverage=137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064&rft.coverage=137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064&rft.coverage=137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064&rft_subject=Climate Change Processes&rft_subject=EARTH SCIENCES&rft_subject=ATMOSPHERIC SCIENCES&rft.type=dataset&rft.language=English Access the data

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Access to the collection is restricted until the public release of data from the NARCliM project in 2014. Access to the collection before then may be granted to approved users. Applications for access can be submitted to admin@climddir.org.

Contact Information

Postal Address:
Dr De Li Liu, PBM, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW 2650, Australia



Brief description

The collection comprises ASCII files of climate data for the entire New South Wales (NSW) state. These files contain monthly minimum and maximum temperature, rainfall and solar radiation data for periods in the 20th and 21st centuries. They are being used by researchers at the Wagga Wagga Agricultural Institute and the University of New South Wales to investigate how the impact of climate change on wheat cropping in NSW may be assessed using the APSIM agricultural model.

The collection was derived from a ~10km resolution Regional Climate Model (RCM) simulation. Although derived from a single RCM simulation, the collection demonstrates the type of data that will be available from the ensemble of RCM simulations being run by the New South Wales and Australian Capital Territory Regional Climate Model (NARCliM) project.

Data time period: 1990-01-01 to 2010-12-31

Data time period: 2020-01-01 to 2040-12-31

Data time period: 2060-01-01 to 2080-12-31

Click to explore relationships graph

137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064

146.0999905,-31.130409

137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064

146.0999905,-31.130409

137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064

146.0999905,-31.130409

137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064

146.0999905,-31.130409

137.949493,-38.841064 139.184753,-23.419754 153.015259,-23.419754 154.250488,-38.841064 137.949493,-38.841064

146.0999905,-31.130409

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