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Dataset

 

SASSO data from the Met Office Unified Model

Update Frequency: Not Planned
Latest Data Update: 2024-03-05
Status: Pending
Online Status: ONLINE
Publication State: Preview
Publication Date:

THIS RECORD HAS NOT BEEN PUBLISHED YET - PREVIEW ONLY!
Abstract

This dataset is the Met Office Unified Model data that was used in the SASSO-funded study:
Damany-Pearce, L., Johnson, B., Wells, A. et al. Australian wildfires cause the largest stratospheric warming since Pinatubo and extends the lifetime of the Antarctic ozone hole. Sci Rep 12, 12665 (2022). https://doi.org/10.1038/s41598-022-15794-3
Specifically the data consists of zonal mean air temperature (T) and horizonal wind (U) as monthly means. These are monthly means are from a single year, since the simulations in the study ran just for a one year.
In the dataset there are 3 groups of simulations, each with its own folder: "aerosol_and_ozone", "aerosol_only" and "ozone_only". In each group there are 10 simulations making up a 10 member ensemble.

Citable as:  [ PROVISIONAL ] Met office; Johnson, B. (9999): SASSO data from the Met Office Unified Model. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/025b174a38404e8bbc69ef7f144e577d
Abbreviation: Not defined
Keywords: Aerosol, ozone, stratosphere, model, wildfire

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Met Office Unified Model version 11.1

UKESM1 UKESM – The UK Earth System Modelling project [ukesm.ac.uk],

UKESM1: Description and Evaluation of the U.K. Earth System Model [agupubs.onlinelibrary.wiley.com]

Data Quality:
Data has been produced from Met Office outputs via Python Iris version 3.7
File Format:
Files are Net-CDF formatted

Process overview

No variables found.

Coverage
Temporal Range
Start time:
2020-01-01T00:00:00
End time:
2020-12-31T00:00:00
Non-Geographic Data