Model:ROMS

ROMS

Also known as
Model type	Modular
Model part of larger framework
Note on status model
Date note status model

Incorporated models or components:	CBOFS2, ChesROMS, UMCESroms,

Spatial dimensions
Spatial extent
Model domain
One-line model description	Regional Ocean Modeling System
Extended model description	ROMS is a Free-surface, terrain-following, orthogonal curvilinear, primitive equations ocean model. Its dynamical kernel is comprised of four separate models including the nonlinear, tangent linear, representer tangent linear, and adjoint models. It has multiple model coupling (ESMF, MCT) and multiple grid nesting (composed, mosaics, refinement) capabilities. The code uses a coarse-grained parallelization with both shared-memory (OpenMP) and distributed-memory (MPI) paradigms coexisting together and activated via C-preprocessing.

Keywords:	flow dynamics, wave dynamics, physical oceanography,

Supported platforms	Unix, Linux, Windows
Other platform	CygWin
Programming language	Fortran90
Other program language
Code optimized
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	1998
Does model development still take place?	Yes
If above answer is no, provide end year model development
Code development status
When did you indicate the 'code development status'?
Model availability	As code
Source code availability (Or provide future intension)	Through web repository
Source web address	https://www.myroms.org/index.php?page=login
Source csdms web address
Program license type	Other
Program license type other	MIT/X License, see License_ROMS.txt.
Memory requirements	Depends on application but it is relatively small in distributed-memory since only the tile partition is allocated for global and local arrays. All the state model variables are dynamically allocated and passed as arguments to the computational routines via de-referenced pointer structures.
Typical run time	Depends on application and resolution. Usually it takes several hours to run a realistic application for a simulation month.

Describe input parameters	There are hundreds of input parameters for the physical, ecosystem, and sediment models. In addition, there are input scripts for floats, stations, model coupling, and data assimilation.
Input format	ASCII
Other input format	ASCII (input scripts), NetCDF (input fields).
Describe output parameters	There are hundreds of output parameters and fields that are written to several NetCDF files.
Output format
Other output format	NetCDF, CF-convections.
Pre-processing software needed?	No
Describe pre-processing software
Post-processing software needed?	Yes
Describe post-processing software	Yes, ROMS I/O is via NetCDF and follows CF-standard conventions. Therefore, any visualization software for NetCDF files can be used for pre- and post-processing.
Visualization software needed?	Yes
If above answer is yes
Other visualization software	Yes, a plotting package is provided. It uses the NCAR's graphics Library. Any visualization package for NetCDF files can be used, like IDL, Matlab, and others.

Describe processes represented by the model	ROMS resolved fast (gravity waves) and slow (Rossby waves) dynamics. Hydrostatic approximation but there is a nonhydrostatic version of ROMS.
Describe key physical parameters and equations	Navier-Stokes primitive equations. Bio-optical, biogeochemical, and ecosystem models equations. Cohesive and non cohesive sediment equations. Several vertical turbulece equations (KPP, GLS, MY-2.5). Air-Sea interaction coupling equations (COARE). Bottom boundary layer model equations.
Describe length scale and resolution constraints	Estuary, regional, and basin scales. There are couple of global applications.
Describe time scale and resolution constraints	Hours, days, seasons. It also can be used for climate research (decades).
Describe any numerical limitations and issues	ROMS has a predictior-corrector algorithm that is efficient and accuarate. This class of model (terrain-following) exhibits stronger sensitivity to topography which results in pressure gradient errors. ROMS has several pressure gradient algorithms that minimize this problem.

Describe available calibration data sets	There are several idealized and realistic test cases. Some of the idealized test cases have quasi-analytical solutions.
Upload calibration data sets if available:
Describe available test data sets	We have a website for test problems: http://marine.rutgers.edu/po/index.php?model=test-problems
Upload test data sets if available:
Describe ideal data for testing	We have test cases for both laboratory and field observations. In the past, we have used data from rotating tanks.

Do you have current or future plans for collaborating with other researchers?	Yes, we work with several modeling groups around the world.

Is there a manual available?	Yes
Upload manual if available:
Model website if any	https://www.myroms.org
Model forum / discussion board

Comments	The documentation about ROMS can be found in WikiROMS: https://www.myroms.org/wiki There is a very active ROMS user's forum: https://www.myroms.org/forum NOTICE: REGISTRATION IS NEEDED TO RECEIVE THE SOURCE CODE: https://www.myroms.org/index.php?page=login

This part will be filled out by CSDMS staff

Can be coupled with:

Model info

Authors

Hernan G. Arango

Shchepetkin

Source code

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