Main achievements of SWARP
- Two new remote sensing methods to measure wave attenuation from SAR images in sea ice and to classify these images by ice types. A few hundreds of images processed in the Arctic.
- Developments of the wave model WAVEWATCH III and ocean-ice models HYCOM-CICE and NEMO-CICE to include waves-ice interactions. Validated with project data and demonstrated feasible for near real time forecasts.
- Inclusion of the new forecast data into a commercial e-Navigation service from NAVTOR AS.

Having set up a high-quality monitoring and forecasting system does not guarantee that the service will be fit for the purpose or ships in operations. E-Navigation services are challenged in high latitudes by the poor coverage of communication satellites. Although several initiatives are ongoing to improve communications in Arctic waters, we still need to assume that these will remain poorer than normal in the foreseeable future.

The established connection to the project partner NAVTOR gives direct channels to a network of potential users of the developed new products within the SWARP project. To have NAVTOR as a project partner also gives the opportunity to have direct feedback during the project development stages.
This first user feedback report is based on NAVTOR’s User Seminar in April 2016 as well as two exhibitions where NAVTOR participated and presented the SWARP project and future products that will be available.

Based on Wave retrieval methodology in the MIZ using SAR described in D4.1 attenuation of swell in the MIZ can been estimated from a reference Sentinel1 SAR dataset in the winter 2014-2015.

We provide here a user guide to Python based software used for semi-automatic SAR wave analysis and the Netcdf wave amplitude attenuation resulting product.