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The versatility of ROMS has been proven in its diverse applications to different systems and regions. It is best applied to mesoscale systems,<ref>{{Cite web|url=https://web.archive.org/web/20101229170731/http://www.metoffice.gov.uk/science/creating/hoursahead/mesoscale.html|title=Met Office: Mesoscale modelling|date=2010-12-29|access-date=2018-04-26}}</ref> or those systems that can be mapped at high resolution, such as 1-km to 100-km grid spacing.
Biogeochemical, bio-optical, sea ice, sediment, and other models can be nested within the ROMS framework to study specific processes. These are usually developed for specific regions of the world's oceans but can be applied elsewhere. For example, the sea ice application of ROMS was originally developed for the Barents Sea Region.<ref>{{Cite journal|last=Budgell|first=W. P.|date=2005-12-01|title=Numerical simulation of ice-ocean variability in the Barents Sea region|url=https://link.springer.com/article/10.1007/s10236-005-0008-3|journal=Ocean Dynamics|language=en|volume=55|issue=3-4|pages=370–387|doi=10.1007/s10236-005-0008-3|issn=1616-7341}}</ref>
ROMS modeling efforts are increasingly being coupled with observational platforms, such as [[Weather buoy|buoys]], satellites, and ship-mounted underway sampling systems, to provide more accurate forecasting of ocean conditions.
There is an ever-growing number of applications of ROMS to particular regions of the world's oceans. A few examples are:
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