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NATO Submarine Warfare Exercise begins in Iceland
Maritime capabilities are displayed for distinguished visitors before the at-sea portion of Exercise Dynamic Mongoose starts June 26, 2017. NATO photo by FRAN CPO Christian Valverde.
- NATO Submarine
Surveillance Exercise Dynamic Mongoose 2017 began June 26, 2017 off the coast of
Iceland, with ships, submarines, aircraft and personnel from 10 Allied nations
gathered in the North Atlantic Ocean for anti-submarine and anti-surface
Submarines from France, Germany, the Netherlands, Norway and the United States,
under operational control of NATO Submarine Command (COMSUBNATO), will join 11
surface ships from Canada, Denmark, France, Iceland, the Netherlands, Norway,
Poland, the United Kingdom and the United States of America and a NATO Research
Vessel, NRV Alliance, under the command of Standing NATO Maritime Group One
(SNMG1) Commodore Ole Morten Sandquist. Host nation Iceland is providing
support from both the Reykjavik Harbor and the Keflavik Air Base.
The aim of this exercise is to provide all participants with complex and challenging
training to enhance their interoperability and proficiency in anti-submarine
and anti-surface warfare skills.
This year, NATO Research Vessel ALLIANCE, operated by the
Italian Navy for the NATO Centre for Maritime Research and Experimentation
(CMRE) based in La Spezia (Italy), will participate to the exercise.
CMRE's contribution to DMON17 is to deploy and test Maritime
Unmanned Systems for ASW, specifically autonomous underwater vehicles (OEX
Explorer AUVs) and unmanned surface vehicles (Wave-Glider USV). CMRE will also
be participating to some ASW serials for the first time integrated under the
command of the Officer Conducting the Serial (OCS).
This is an important
Operational Experimentation for CMRE and offers the chance to expose the
current generation of ASWs to the future of unmanned systems for ASW. It
also will help Allied Command Transformation, which funds CMRE's activities in
this area, to capture requirements for future Autonomous Security Networks for