MERCATOR OCEAN JOURNA:
SEPTEMBER 2021
The overall increase in satellite imagery available to the
Sea Ice TAC has improved the quality of the product due to
an improved coverage of high spatial resolution SAR data
This has also led to an increased number of Greenland ice
charts being produced over the period of the Copernicus-1
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phase: from 23 on average per month in 2015 to 59 in 2020.
Also, new parameters in the Greenland ice charts were
introduced: ice stage-of-development (ice types) and ice
floe sizes (which have been included in Copernicus Marine
Service since late 2020).
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ıgure zZ: Example ice charts from national ice service at MET, DMI and FMI, respectivelv.
For all ice services, the vast amount of new Copernicus
satellite imagery has been a driver for developing new
methods, based on deep learning, for retrieval of sea ice
information from SAR imagery and complementary satellite
data. At the end of Copernicus phase-1 these automated
sea-ice information products became inputs to the DMI
ice analysts and thus made the ice charting process more
effective. The development of a deep learning methodology
for automated sea ice mapping is an upside from the close
collaboration within Sea Ice TAC partners working on this
field: MET, FMI, NERSC and DTU. The development will
continue in the coming years, exploiting and preparing to
use the next generation of Copernicus Sentinel satellites;
the Copernicus Imaging Microwave Radiometer (CIMR) and
Rose-L missions
1.3 Sentinel-1 L3-product
In support of users of Sentinel-1 data a new Sentinel-1
product was introduced in Copernicus Marine Service in
2020. This product contains separate Sentinel-1 datasets
ın GeoTiFF format. Datasets include sigma0 calibrated
and thermal noise corrected Sentinel-1 Extra Wide dual
polarization (HH/HV) data, a land mask and information
of the local incident angle. Several individual datasets are
delivered dailv.
1.4 Antarctic ice edge
Since 2015, the BAS gridded ice edge position information
has been derived by manual interpretation of SAR data,
primarily utilising Sentinel-1 imagery. The product provides
a high-resolution ice edge to aid maritime users in the
most heavily trafficked parts of the Antarctic Peninsula
and Weddell Sea. It is used to validate the OS! SAF
Southern Ocean sea ice classification product following
a methodology established as part of the 0SI SAF CDOP
Visiting Scientist scheme.
The product has evolved since 2015 to utilise both
Radarsat2, Sentinel-1a and Sentinel-1b5 image data.
The area of data coverage has extended to include the
Bellingshausen and Amundsen Seas, providing greater
coverage of validation data. The automatic NRT validation
of the OSI SAF product has been fully implemented and is
accessible at Polarview.
Sontinued evolution of Southern Ocean products is driven
bv both:
the need for high quality hemispheric coverage of sea
ice data to drive global forecast models,
- maritime users needs to support safe operations as
mandated by IMO Polar Code