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Title: Development of the global sea ice 6.0 CICE configuration for the Met Office global coupled model

Journal Article · · Geoscientific Model Development (Online)
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  1. Met Office Hadley Centre, Exeter (United Kingdom)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
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The new sea ice configuration GSI6.0, used in the Met Office global coupled configuration GC2.0, is described and the sea ice extent, thickness and volume are compared with the previous configuration and with observationally based data sets. In the Arctic, the sea ice is thicker in all seasons than in the previous configuration, and there is now better agreement of the modelled concentration and extent with the HadISST data set. As a result, in the Antarctic, a warm bias in the ocean model has been exacerbated at the higher resolution of GC2.0, leading to a large reduction in ice extent and volume; further work is required to rectify this in future configurations.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-06NA25396
OSTI ID:
1235897
Report Number(s):
LA-UR-15-21224
Journal Information:
Geoscientific Model Development (Online), Vol. 8, Issue 7; ISSN 1991-9603
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 67 works
Citation information provided by
Web of Science

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Cited By (20)

Modelling the moistening of the free troposphere during the northwestward progression of Indian monsoon onset journal April 2018
MJO modulation and its ability to predict boreal summer tropical cyclone genesis over the northwest Pacific in Met Office Hadley Centre and Beijing Climate Center seasonal prediction systems journal March 2019
Atmospheric sensitivity to marginal‐ice‐zone drag: Local and global responses
  • Renfrew, Ian A.; Elvidge, Andrew D.; Edwards, John M.
  • Quarterly Journal of the Royal Meteorological Society, Vol. 145, Issue 720 https://doi.org/10.1002/qj.3486
journal March 2019
An assessment of Indian monsoon seasonal forecasts and mechanisms underlying monsoon interannual variability in the Met Office GloSea5-GC2 system journal June 2016
Boreal summer sub-seasonal variability of the South Asian monsoon in the Met Office GloSea5 initialized coupled model journal November 2016
Impact of Gulf Stream SST biases on the global atmospheric circulation journal February 2018
The added value of the multi-system spread information for ocean heat content and steric sea level investigations in the CMEMS GREP ensemble reanalysis product journal December 2018
Re-emergence of North Atlantic subsurface ocean temperature anomalies in a seasonal forecast system journal June 2019
Process-level improvements in CMIP5 models and their impact on tropical variability, the Southern Ocean, and monsoons journal January 2018
UK Global Ocean GO6 and GO7: a traceable hierarchy of model resolutions journal January 2018
Implementation of a simple thermodynamic sea ice scheme, SICE version 1.0-38h1, within the ALADIN–HIRLAM numerical weather prediction system version 38h1 journal January 2018
The sea ice model component of HadGEM3-GC3.1 journal January 2018
The Met Office Global Coupled model 2.0 (GC2) configuration journal January 2015
The impact of resolving the Rossby radius at mid-latitudes in the ocean: results from a high-resolution version of the Met Office GC2 coupled model journal January 2016
Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST journal January 2018
The impact of resolving the Rossby radius at mid-latitudes in the ocean: results from a high-resolution version of the Met Office GC2 coupled model journal April 2016
The Met Office Global Coupled model 2.0 (GC2) configuration journal January 2015
The Met Office Unified Model Global Atmosphere 6.0/6.1 and JULES Global Land 6.0/6.1 configurations journal January 2017
Implementation of a simple thermodynamic sea ice scheme, SICE version 1.0-38h1, within the ALADIN-HIRLAM numerical weather prediction system version 38h1 journal March 2018
Estimation of sea ice parameters from sea ice model with assimilated ice concentration and SST journal July 2018

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