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Dataset

 

Improved high-resolution ocean reanalysis of Met Office GloSea5 data using the simple smoother algorithm, v1.0, June 2016

Latest Data Update: 2021-10-25
Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2021-10-29
DOI Publication Date: 2021-10-29
Download Stats: last 12 months
Dataset Size: 30 Files | 29GB
Abstract

The dataset is a Global ¼° 0-2000m ocean reanalysis for June 2016, providing temperature and salinity data. The product is based on Met Office GloSea5 reanalysis (Blockley et al. 2014), with the simple smoother algorithm applied to improve the original reanalysis. The simple smoother is designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean. Further information is available in the documentation section.

Citable as:  Dong, B.; Haines, K.; Martin, M. (2021): Improved high-resolution ocean reanalysis of Met Office GloSea5 data using the simple smoother algorithm, v1.0, June 2016. NERC EDS Centre for Environmental Data Analysis, 29 October 2021. doi:10.5285/b0cf5a39647e4036bd5351274c5daa5f. https://dx.doi.org/10.5285/b0cf5a39647e4036bd5351274c5daa5f
Abbreviation: Not defined
Keywords: ocean reanalysis, smnoother, temperature, salinity

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:

Data were prepared by the NCEO DA team at the University of Reading and provided to CEDA for archival.
Data Quality:
Data were validated by the NCEO DA project team at the University of Reading
File Format:
NetCDF

Related Documents

 Blockley EW, Martin MJ, McLaren AJ, Ryan AG, Waters J, Lea DJ, Mirouze I, Peterson KA, Sellar A, D S. 2014. Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new global FOAM forecasts. Geoscientific Model Development 7: 2613-2618. DOI: 10.5194/gmd-7-2613-2014
 Met Office and NERC joint supercomputer system (MONSooN)
 Dong, B., Haines, K. and Martin, M., 2021. Improved high resolution ocean reanalyses using a simple smoother algorithm. Journal of Advances in Modeling Earth Systems, e2021MS002626.

Process overview

This dataset was generated by the computation detailed below.
Title

Improved Global ocean reanalysis using the smoother algorithm v1.0 June 2016
Abstract

Met Office GloSea5 reanalysis data were processed on the Met Office Monsoon supercomputer using the smoother algorithm. Please see the documentation section for further information
Input Description

None
Output Description

None
Software Reference

None
  • standard_name: sea_water_potential_temperature
  • long_name: Sea Water Potential Temperature
  • units: degree_C
  • var_id: Tsm
  • standard_name: sea_water_salinity
  • long_name: Sea Water Salinity
  • units: 0.001
  • var_id: Ssm
  • units: m
  • long_name: Vertical T levels
  • var_id: deptht

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2016-06-01T00:00:00
End time:
2016-06-30T00:00:00
Geographic Extent

 
90.0000°
  
-180.0000°
  
180.0000°
 
-90.0000°
  
Related parties
Authors (3)
Publishers (1)
Funders (1)
Principal Investigators (1)