Seasonal Prediction ACCESS-S2 Hindcast (1981-2018) and Supporting Data Assimilation and Initial Conditions
"ACCESS-S2 is the Australian Bureau of Meteorology's seasonal prediction system used for multi-week and seasonal prediction (due in operations in 2021). The data collection provides access to the hindcast set i.e., forecasts run retrospectively for dates in the past. The hindcast set consi...
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ftdatacite:10.25914/60627acc3c33e 2023-05-15T18:18:20+02:00 Seasonal Prediction ACCESS-S2 Hindcast (1981-2018) and Supporting Data Assimilation and Initial Conditions Bureau Of Meteorology 2021 netCDF https://dx.doi.org/10.25914/60627acc3c33e https://pid.nci.org.au/doi/f3311_4920_0252_8073 en eng NCI Australia https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f3311_4920_0252_8073 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Meteorology article Collection 2021 ftdatacite https://doi.org/10.25914/60627acc3c33e 2022-04-01T17:45:00Z "ACCESS-S2 is the Australian Bureau of Meteorology's seasonal prediction system used for multi-week and seasonal prediction (due in operations in 2021). The data collection provides access to the hindcast set i.e., forecasts run retrospectively for dates in the past. The hindcast set consists of a 3 or 9 member ensemble from the 1st, 6th, 11th, 16th, 21st, and 26th of every month for the period 1981-2018, as well as additional ensembles at the middle and end of every month. ACCESS-S2 uses the UK Met Office GloSea5-GC2 coupled model and Bureau-developed data assimilation and ensemble generation. The global coupled model includes high resolution atmospheric (N216 which is ~60 km in the mid-latitudes; and 85 levels in the vertical) and ocean (0.25 degree with 75 levels) models, as well as multi-layer land and sea-ice models. This data has also been downscaled and calibrated over the Australian land area at 5km resolution for a subset of variables." Article in Journal/Newspaper Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
Meteorology |
spellingShingle |
Meteorology Bureau Of Meteorology Seasonal Prediction ACCESS-S2 Hindcast (1981-2018) and Supporting Data Assimilation and Initial Conditions |
topic_facet |
Meteorology |
description |
"ACCESS-S2 is the Australian Bureau of Meteorology's seasonal prediction system used for multi-week and seasonal prediction (due in operations in 2021). The data collection provides access to the hindcast set i.e., forecasts run retrospectively for dates in the past. The hindcast set consists of a 3 or 9 member ensemble from the 1st, 6th, 11th, 16th, 21st, and 26th of every month for the period 1981-2018, as well as additional ensembles at the middle and end of every month. ACCESS-S2 uses the UK Met Office GloSea5-GC2 coupled model and Bureau-developed data assimilation and ensemble generation. The global coupled model includes high resolution atmospheric (N216 which is ~60 km in the mid-latitudes; and 85 levels in the vertical) and ocean (0.25 degree with 75 levels) models, as well as multi-layer land and sea-ice models. This data has also been downscaled and calibrated over the Australian land area at 5km resolution for a subset of variables." |
format |
Article in Journal/Newspaper |
author |
Bureau Of Meteorology |
author_facet |
Bureau Of Meteorology |
author_sort |
Bureau Of Meteorology |
title |
Seasonal Prediction ACCESS-S2 Hindcast (1981-2018) and Supporting Data Assimilation and Initial Conditions |
title_short |
Seasonal Prediction ACCESS-S2 Hindcast (1981-2018) and Supporting Data Assimilation and Initial Conditions |
title_full |
Seasonal Prediction ACCESS-S2 Hindcast (1981-2018) and Supporting Data Assimilation and Initial Conditions |
title_fullStr |
Seasonal Prediction ACCESS-S2 Hindcast (1981-2018) and Supporting Data Assimilation and Initial Conditions |
title_full_unstemmed |
Seasonal Prediction ACCESS-S2 Hindcast (1981-2018) and Supporting Data Assimilation and Initial Conditions |
title_sort |
seasonal prediction access-s2 hindcast (1981-2018) and supporting data assimilation and initial conditions |
publisher |
NCI Australia |
publishDate |
2021 |
url |
https://dx.doi.org/10.25914/60627acc3c33e https://pid.nci.org.au/doi/f3311_4920_0252_8073 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f3311_4920_0252_8073 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.25914/60627acc3c33e |
_version_ |
1766194885057052672 |