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SUMMARY:Impact of initialising sea ice forecasts using CryoSat-2 thickness
  observations for seasonal sea ice prediction with the Met Office GloSea s
 ystem - Ed Blockley (Met Office)
DTSTART:20170915T154000Z
DTEND:20170915T160000Z
UID:TALK79501@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Met Office seasonal predictions are made with the GloSea coupl
 ed forecasting system. The (NEMO) ocean and (CICE) sea ice components of G
 loSea are initialised using analysis fields from the FOAM ocean-sea ice an
 alysis and forecast system. FOAM assimilates satellite and in-situ observa
 tions of temperature\, salinity\, sea level anomaly and sea ice concentrat
 ion each day using the NEMOVAR 3D-Var scheme. Sea ice thickness is not yet
  assimilated by FOAM but the Met Office are currently developing capabilit
 y to assimilate sea ice freeboard and thickness observations from CryoSat-
 2 and SMOS sensors within the NEMOVAR 3D-Var framework.  &nbsp\;  <br><spa
 n><br>Here we present the findings of a recent study undertaken to assess 
 the impact on the evolution of sea ice seasonal forecasts of initialising 
 with CryoSat2-derived thickness observations. We will show that the initia
 lisation of thickness leads to improved skill for seasonal predictions of 
 Arctic summer sea ice extent and ice-edge location whilst highlighting per
 sistent biases in the modelled thickness distribution.</span>
LOCATION:Seminar Room 1\, Newton Institute
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