OCSMesh: a data-driven automated unstructured mesh generation software for coastal ocean modeling

Mani, Soroosh; Calzada, Jaime R.; Moghimi, Saeed; Zhang, Y. Joseph; Myers, Edward; Pe’eri, Shachak

doi:10.25923/csba-m072

i

OCSMesh: a data-driven automated unstructured mesh generation software for coastal ocean modeling

2021
By Mani, Soroosh ; Calzada, Jaime R. ; Moghimi, Saeed
Series: NOAA Technical Memorandum NOS CS ; 47

Details

Personal Author:

Mani, Soroosh ; Calzada, Jaime R. ; Moghimi, Saeed ; Zhang, Y. Joseph ; Myers, Edward ; Pe’eri, Shachak
Corporate Authors:

Coast Survey Development Laboratory (U.S.)
NOAA Program & Office:

NOS (National Ocean Service) ; OCS (Office of Coast Survey)
Description:

In this document we introduce OCSMesh, an unstructured mesh generation Python tool for coastal modeling application. OCSMesh uses an object oriented programming paradigm for generating the computational domain and mesh size definitions. In its current release, OCSMesh uses Jigsaw as the meshing engine.
Series:

NOAA Technical Memorandum NOS CS ; 47
DOI:

https://doi.org/10.25923/csba-m072
Document Type:

Technical Memorandum
Place as Subject:

United States
Rights Information:

Public Domain
Compliance:

Submitted
Download URL:

https://repository.library.noaa.gov/view/noaa/33879/noaa_33879_DS1.pdf
File Type:

[PDF - 2.72 MB]
Collection(s):

National Ocean Service (NOS)
Main Document Checksum:

urn:sha-512:ecb40c097310997671eb20b94cfd9f2299829980a7ecd9473726ff8fe286b0f9c47ce9ec8b98427fa8ea8af9d1e3399f6ad9363142c4e6e4ccec1adcc44221b2

ON THIS PAGE

Details

Found an issue?

Send us an email at:

publishinghd@cdc.gov

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.