Model:ROMS

Contact

Name	Hernan G. Arango
Type of contact	Model developer
Institute / Organization	IMCS, Rutgers University
Postal address 1	71 Dudley Road
Postal address 2
Town / City	New Brunswick
Postal code	08901-8521
State	New Jersey
Country	USA"USA" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Country" property.
Email address	arango@marine.rutgers.edu
Phone	(732) 932-6555 x266
Fax

Name	Alexander Shchepetkin
Type of contact	Model developer
Institute / Organization
Postal address 1
Postal address 2
Town / City
Postal code
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ROMS

Metadata

Summary Also known as Model type Modular Model part of larger framework Note on status model Date note status model Technical specs 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? No 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 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. In/Output 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. Process 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. Testing 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. Other 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 ROMS Introduction History Papers ROMS Questionnaire Contact Information Model: ROMS Contact person: Hernan G. Arango (Model developer) Institute: IMCS, Rutgers University City: New Brunswick, New Jersey Country: USA Email: arango@marine.rutgers.edu 2nd person involved: Alexander Shchepetkin (Model developer) 3rd person involved: John C. Warner (Model developer) Others persons involved: Adjoint Developers: Arango, Cournuelle, Di Lorenzo, Miller, Moore, Powell. Model description Model type: Modular ocean 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. Technical information Supported platforms: UNIX, Linux, CygWin (Windows) Programming language: Fortran90 Model development started at: 1998 and is still going on To what degree will the model become available: Source code is freely-distributed (SVN repository and Trac). Users need to register for access. Current license type: 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. Input / Output description 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 (input scripts), NetCDF (input fields). Output parameters: There are hundreds of output parameters and fields that are written to several NetCDF files. Output format: NetCDF, CF-convections. Post-processing software (if needed): 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 (if needed): 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. Process description Processes represented by model: ROMS resolved fast (gravity waves) and slow (Rossby waves) dynamics. Hydrostatic approximation but there is a nonhydrostatic version of ROMS. Key physical parameters & 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. Length scale & resolution constraints: Estuary, regional, and basin scales. There are couple of global applications. Time scale & resolution constraints: Hours, days, seasons. It also can be used for climate research (decades). 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. Testing Available calibration data sets: There are several idealized and realistic test cases. Some of the idealized test cases have quasi-analytical solutions. Available test data sets: We have a website for test problems: http://marine.rutgers.edu/po/index.php?model=test-problems Ideal data for testing: We have test cases for both laboratory and field observations. In the past, we have used data from rotating tanks. User groups Currently or plans for collaborating with: Yes, we work with several modeling groups around the world. Documentation Key papers of the model: There are a lot of papers describing ROMS algorithms and applications. They can be found at: http://www.myroms.org/index.php?page=papers Is there a manual available: yes, we have web-based documentation on WikiROMS. Model website if any: https://www.myroms.org Additional comments 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 Issues Help Input Files Output Files Download ROMS is made available through the ROMS website: https://www.myroms.org Source ROMS ROMS is made available through the ROMS website: https://www.myroms.org