Model:OceanWaves

OceanWaves

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

Incorporated models or components:

Spatial dimensions
Spatial extent	Point-Based
Model domain
One-line model description	Calculate wave-generated bottom orbital velocities from surface wave parameters
Extended model description	Calculate wave-generated bottom orbital velocities from measured surface wave parameters. Also permits calculation of surface wave spectra from wind conditions, from which bottom orbital velocities can be determined.

Keywords:	wave model, bottom orbital velocities, wind wave estimation,

Supported platforms	Unix, Mac OS, Windows
Other platform
Programming language	Python
Other program language
Code optimized	Single Processor
Multiple processors implemented
Nr of distributed processors
Nr of shared processors
Start year development	2014
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 CSDMS repository
Source web address
Source csdms web address	https://github.com/csdms-contrib/oceanwaves
Program license type	Other
Program license type other	MIT
Memory requirements	--
Typical run time	--

Describe input parameters	Surface wave height and period or surface winds as well as water depth.
Input format	ASCII
Other input format
Describe output parameters	Bottom wave orbital velocity. Also surface wave conditions if calculated from wind speed.
Output format	ASCII
Other output format
Pre-processing software needed?	No
Describe pre-processing software
Post-processing software needed?	No
Describe post-processing software
Visualization software needed?	No
If above answer is yes
Other visualization software

Describe processes represented by the model	Bottom orbital velocity is calculated from surface wave conditions using linear wave theory. A spectral approach is used. If input wave data are just wave height and period, a spectrum is estimated based on those as described in Wiberg and Sherwood 2008. Several spectral representations are available, and spectra can be estimated based on wind speed if surface wave conditions are unknown.
Describe key physical parameters and equations	See Wiberg and Sherwood 2008, Computers & Geosciences 34: 1243-1262 for key equations.
Describe length scale and resolution constraints	This is a point model and not dependent on length scale or resolution.
Describe time scale and resolution constraints	This is a point model and not dependent on time scale or resolution.
Describe any numerical limitations and issues	The calculations assume the waves are wind waves with periods in the range of 0-~30 s. If the waves are much larger or produced by a different mechanism, the calculations are not likely to be accurate.

Describe available calibration data sets
Upload calibration data sets if available:
Describe available test data sets
Upload test data sets if available:
Describe ideal data for testing

Do you have current or future plans for collaborating with other researchers?

Is there a manual available?	No
Upload manual if available:
Model website if any
Model forum / discussion board

Comments

This part will be filled out by CSDMS staff

OpenMI compliant	No but planned
BMI compliant	No but planned
WMT component	Not yet"Not yet" is not in the list (Yes, In progress, No but possible, No not possible) of allowed values for the "Code CMT compliant or not" property.
PyMT component
Is this a data component

Can be coupled with:

Model info

Authors

Patricia Wiberg

Source code

Model citations

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