Data

'Weather at Home' project data

University of Tasmania, Australia
Rosier, Suzanne ; Bindoff, Nathan ; Karoly, David ; Black, Mitchell T ; Werkman, Harko
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=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/076ead3a-ae3d-4a21-90fa-d7dfbee3ed33&rft.title='Weather at Home' project data&rft.identifier=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/076ead3a-ae3d-4a21-90fa-d7dfbee3ed33&rft.description='Weather@home ANZ' is a global citizen science distributed computing project being run as part of the Oxford-based 'weather@home' project, which is part of 'climateprediction.net'. In this experiment, a detailed limited area (regional) climate model is embedded within the less detailed 'driving' global model. This higher-resolution regional model is able to tell us in unprecedented detail about potential changes to patterns of weather as climate changes. In the initial 'weather@home' experiment launched in 2010, the project team released this regional modelling capability for three regions: Europe, Southern Africa and the Western USA. This capability has been extended to other regions around the world and the first such new region to be developed was the Australasian region encompassing Australia, New Zealand and surrounding areas, which was launched to the public in 2014. This particular part of the project - 'weatherathome ANZ' - has received support from the University of Oxford (U.K.), the U.K. Met. Office, the Universities of Melbourne and Tasmania (Australia), the Tasmanian Partnership for Advanced Computing and the New Zealand National Institute for Water and Atmospheric Research (NIWA). 'weather@home' has also been supported by Microsoft Research.Maintenance and Update Frequency: notPlannedStatement: The methodological background for these datasets is detailed in the paper 'The weather@home regional climate modelling project for Australia and New Zealand' (Black MT, Karoly, DJ, Rosier, SM 𝘦𝘵 𝘢𝘭 2016) linked in the Online Resources below.&rft.creator=Rosier, Suzanne &rft.creator=Bindoff, Nathan &rft.creator=Karoly, David &rft.creator=Black, Mitchell T &rft.creator=Werkman, Harko &rft.date=2023&rft.coverage=westlimit=105.117188; southlimit=-55.178868; eastlimit=-151.523437; northlimit=10.141932&rft.coverage=westlimit=105.117188; southlimit=-55.178868; eastlimit=-151.523437; northlimit=10.141932&rft_rights=Data, products and services from IMAS are provided as is without any warranty as to fitness for a particular purpose.&rft_rights=This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).&rft_rights=&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_rights=https://licensebuttons.net/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=CC-BY&rft_rights=4.0&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=The citation in a list of references is: Citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link).&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=climatologyMeteorologyAtmosphere&rft_subject=CLIMATE INDICATORS&rft_subject=EARTH SCIENCE&rft_subject=EXTREME WEATHER&rft_subject=ATMOSPHERIC/OCEAN INDICATORS&rft_subject=EXTREME DROUGHT&rft_subject=EXTREME PRECIPITATION&rft_subject=HEAT/COLD WAVE FREQUENCY/INTENSITY&rft_subject=PRECIPITATION TRENDS&rft_subject=PRECIPITATION INDICATORS&rft_subject=HIGHER MAXIMUM DAYTIME TEMPERATURES&rft_subject=TEMPERATURE INDICATORS&rft_subject=EARTH SCIENCE | CLIMATE INDICATORS | ATMOSPHERIC/OCEAN INDICATORS | TEMPERATURE INDICATORS | HIGHER MINIMUM NIGHTTIME TEMPERATURES&rft_subject=TEMPERATURE TRENDS&rft_subject=TEMPERATURE INDICES&rft_subject=LENGTH OF GROWING SEASON&rft_subject=LAND SURFACE/AGRICULTURE INDICATORS&rft_subject=SOIL MOISTURE&rft.type=dataset&rft.language=English Access the data
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Data, products and services from IMAS are provided "as is" without any warranty as to fitness for a particular purpose.

This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).

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The citation in a list of references is: "Citation author name/s (year metadata published), metadata title. Citation author organisation/s. File identifier and Data accessed at (add http link)."

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Brief description

'Weather@home ANZ' is a global citizen science distributed computing project being run as part of the Oxford-based 'weather@home' project, which is part of 'climateprediction.net'. In this experiment, a detailed limited area (regional) climate model is embedded within the less detailed 'driving' global model. This higher-resolution regional model is able to tell us in unprecedented detail about potential changes to patterns of weather as climate changes. In the initial 'weather@home' experiment launched in 2010, the project team released this regional modelling capability for three regions: Europe, Southern Africa and the Western USA. This capability has been extended to other regions around the world and the first such new region to be developed was the Australasian region encompassing Australia, New Zealand and surrounding areas, which was launched to the public in 2014. This particular part of the project - 'weatherathome ANZ' - has received support from the University of Oxford (U.K.), the U.K. Met. Office, the Universities of Melbourne and Tasmania (Australia), the Tasmanian Partnership for Advanced Computing and the New Zealand National Institute for Water and Atmospheric Research (NIWA). 'weather@home' has also been supported by Microsoft Research.

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Maintenance and Update Frequency: notPlanned
Statement: The methodological background for these datasets is detailed in the paper 'The weather@home regional climate modelling project for Australia and New Zealand' (Black MT, Karoly, DJ, Rosier, SM 𝘦𝘵 𝘢𝘭 2016) linked in the Online Resources below.

Issued: 29 03 2023

Data time period: 1972-01-01 to 2014-11-30

This dataset is part of a larger collection

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-151.52344,10.14193 -151.52344,-55.17887 105.11719,-55.17887 105.11719,10.14193 -151.52344,10.14193

-23.2031245,-22.518468

text: westlimit=105.117188; southlimit=-55.178868; eastlimit=-151.523437; northlimit=10.141932

Subjects
ATMOSPHERIC/OCEAN INDICATORS | CLIMATE INDICATORS | EARTH SCIENCE | EARTH SCIENCE | CLIMATE INDICATORS | ATMOSPHERIC/OCEAN INDICATORS | TEMPERATURE INDICATORS | HIGHER MINIMUM NIGHTTIME TEMPERATURES | EXTREME DROUGHT | EXTREME PRECIPITATION | EXTREME WEATHER | HEAT/COLD WAVE FREQUENCY/INTENSITY | HIGHER MAXIMUM DAYTIME TEMPERATURES | LAND SURFACE/AGRICULTURE INDICATORS | LENGTH OF GROWING SEASON | PRECIPITATION INDICATORS | PRECIPITATION TRENDS | SOIL MOISTURE | TEMPERATURE INDICATORS | TEMPERATURE INDICES | TEMPERATURE TRENDS | climatologyMeteorologyAtmosphere |

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Other Information
(The weather@home regional climate modelling project for Australia and New Zealand)

uri : https://gmd.copernicus.org/articles/9/3161/2016/

Identifiers
  • global : 076ead3a-ae3d-4a21-90fa-d7dfbee3ed33
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