Source code, license, example input and visualization files for beta-LTRANS-ADCIRC, a particle tracking model that runs with ADCIRC circulation model prediction.
MetadataShow full item record
LocationNorth Carolina Estuaries
Source code, license, example input and visualization files for beta-LTRANS-ADCIRC, a particle tracking model that runs with ADCIRC circulation model prediction. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/658655
Dataset: beta-LTRANS-ADCIRC software
Suggested CitationDataset: North, Elizabeth, Leuttich, Richard, "Source code, license, example input and visualization files for beta-LTRANS-ADCIRC, a particle tracking model that runs with ADCIRC circulation model prediction.", 2021-02-25, DOI:10.26008/1912/bco-dmo.658655.1, https://hdl.handle.net/1912/26741
Showing items related by title, author, creator and subject.
Model behavior and sensitivity in an application of the Cohesive Bed Component of the Community Sediment Transport Modeling System for the York River estuary, VA, USA Fall, Kelsey A.; Harris, Courtney K.; Friedrichs, Carl T.; Rinehimer, J. Paul; Sherwood, Christopher R. (MDPI AG, 2014-05-19)The Community Sediment Transport Modeling System (CSTMS) cohesive bed sub-model that accounts for erosion, deposition, consolidation, and swelling was implemented in a three-dimensional domain to represent the York River ...
Zhang, Huai-Min (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1995-02)Inverse modeling activities in oceanography have recently been intensified, aided by the oncoming observational data stream of WOCE and the advance of computer power. However, interpretations of inverse model results ...
Rastetter, Edward B. (2016-11)I draw a distinction between Modeling for Numbers, which aims to address how much, when, and where questions, and Modeling for Understanding, which aims to address how and why questions. For-numbers models are often ...