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...

Full description

Bibliographic Details
Main Author: Bureau Of Meteorology
Format: Article in Journal/Newspaper
Language:English
Published: NCI Australia 2021
Subjects:
Online Access:https://dx.doi.org/10.25914/60627acc3c33e
https://pid.nci.org.au/doi/f3311_4920_0252_8073
id ftdatacite:10.25914/60627acc3c33e
record_format openpolar
spelling 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)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id 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