1. Ships and Waves Reaching Polar regions
Laurent Bertino, Timothy Williams

 Nansen Environment and Remote Sensing Center, Bergen, Norway
Contract number

2. Objectives
As of today, there is no forecasting service in GMES that is valid for the gray zone where waves-in-ice processes dominate.
Aim: Filling the gaps existing in the GMES services with respect to waves in sea ice
1) extending the validity of wave and sea ice forecasting systems in the marginal ice zone,
2) developing remote sensing methods for routine monitoring of combined risks of waves and ice

3. 2-3 days Waves and Sea Ice Forecast
Models setup
Topaz4 NA & AO
Nesting: Ocean and Ice
myocean.met.no
Boundary Conditions
Ocean and Sea Ice Model
(EVP + MIZ)
WIM module
(wave in ice)
2-3 days Waves and Sea Ice Forecast
Atmosphere
(ECMWFR)
NB! Today only EVP+MIZ on 3 day forecast on webpage, WIM module only 2 days wave data
WW3 Wave model
/ WAM Nordic
Validation
Nesting
Forcing
Forecast Models
Validation

5. Quantitative “MIZ width” validation

7. Solution of Laplace equation
Based on Strong’s work about the MIZ mean width, solving the Laplacian equation:
∇2Ψ = 0
Courtenay Strong (2012) Atmospheric influence on Arctic marginal ice zone position and width in the Atlantic sector, Feb-Apr

8. More advanced geometry

10. All February 2014

11. SWARP: WP2, wave modelling
Fabrice Ardhuin, Mickael Accensi,
Justin Stopa (Ifremer)
Vernon Squire (University of Otago)
Dany Dumont and Paul Nicot (UQAR)
Tim Williams (NERSC)

12. 1. From « physical » to « spectral » space
V. Squire et al. are working on the deterministic modelling of wave scattering by a field of ice floes .
From Montiel, Squire & Bennets (Arxiv 2014)

13. + Sice,scat (k) + Sice,dis (k)
1. Principles of phase- averaged wave models
These models describe the sea state as a random superposition of waves, and tracks their energy in space and time which evolves due to various processes represented by “source terms” S... .
This approach was followed in a simplified manner by Williams et al. (WIM module in an ice model).
+ Sice,scat (k) + Sice,dis (k)
The novel aspect here is the
incorporation of sea ice effects
See e.g. Meylan & Masson (2006)

14. 2. developments for SWARP
Parameterizations:
Implementation of ice scattering term from Williams et al. (2013) :
based on 1D calculations of Kohout & Meylan
+ assuming isotropic scattering
→ requires a
floe size distribution
and ice thickness
→ new forcing parameters
In WAVEWATCH III
(thickness implemented
for single grid. Dmax or Davg
Needs to be added)