This website uses cookies. By continuing to use this website you are agreeing to our use of cookies. 

Dataset

 

CCMI-2022: REF-D1 data produced by the NIWA-UKCA2 model at NIWA

Status: Ongoing
Online Status: ONLINE
Publication State: Published
Publication Date: 2021-08-06
Download Stats: last 12 months
Dataset Size: 408 Files | 149GB

Abstract

This dataset contains model data for CCMI-2022 experiment refD1 produced by the NIWA-UKCA2 chemistry-climate model run by the modelling team at NIWA (National Institute of Water and Atmospheric Research) in New Zealand.

The refD1 experiment is a hindcast of the atmospheric state, using a prescribed evolution of sea surface temperature and sea ice from observations along with forcings for the extra-terrestrial solar flux, long-lived greenhouse gases and ozone depleting substances, stratospheric aerosols and an imposed quasi-biennial oscillation that approximate the observed variations over the historical period to the fullest extent possible.

The CCMI-2022 Chemistry-climate model initiative is a set of model experiments focused on the stratosphere, with the goals of providing updated projections towards the future evolution of the ozone layer and improving our understanding of chemistry-climate interactions from models.

------------------------------------------
Sources of additional information
------------------------------------------
The following web links are provided in the Details/Docs section of this catalogue record:
- Review of the global models used within phase 1 of the Chemistry-Climate Model Initiative (CCMI)
- A new set of Chemistry-Climate Model Initiative (CCMI) Community Simulations to Update the Assessment of Models and Support Upcoming Ozone Assessment Activities, David Plummer and Tatsuya Nagashima and Simone Tilmes and Alex Archibald and Gabriel Chiodo and Suvarna Fadnavis and Hella Garny and Beatrice Josse and Joowan Kim and Jean-Francois Lamarque and Olaf Morgenstern and Lee Murray and Clara Orbe and Amos Tai and Martyn Chipperfield and Bernd Funke and Martin Juckes and Doug Kinnison and Markus Kunze and Beiping Luo and Katja Matthes and Paul A. Newman and Charlotte Pascoe and Thomas Peter (2021), SPARC Newsletter, volume 57, pp 22-30

Citable as:  Morgenstern, O.; Zeng, G. (2021): CCMI-2022: REF-D1 data produced by the NIWA-UKCA2 model at NIWA. NERC EDS Centre for Environmental Data Analysis, date of citation. https://catalogue.ceda.ac.uk/uuid/9d93bed3b24648fcade5e427903c7da7
Abbreviation: Not defined
Keywords: CCMI-2022, REF-D1, refD1, Hindcast, NIWA-UKCA, NIWA

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Restricted data: please submit an application using the REQUEST ACCESS link for access.
Use of these data is covered by the following licence: https://artefacts.ceda.ac.uk/licences/rugl_versions/rugl_v1-0.pdf. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

These data are original data produced by NIWA-UKCA2, processed into CF-compliant NetCDF3 format. In a further step, the data has been processed using nccopy into compressed NetCDF4 format. Uploaded using rsync.

Data Quality:
Data are as given by the data provider, ceda-cc quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
File Format:
CF-netCDF

Process overview

This dataset was generated by the computation detailed below.
Title

NIWA-UKCA2 deployed at NIWA

Abstract

NIWA-UKCA2 deployed at NIWA

Input Description

None

Output Description

None

Software Reference

None

No variables found.

Coverage
Temporal Range
Start time:
1960-01-01T00:00:00
End time:
2018-12-31T23:59:59
Geographic Extent

 
90.0000°
 
-180.0000°
 
180.0000°
 
-90.0000°