Connecticut Coastal Towns Nearshore Model Storm Surge and Wave Height Dataset

Brief Description | Dataset Content | Temporal Coverage | Spatial Coverage | Update Schedule | Usage Restrictions | Detailed Description | Documentation | Related File Naming & Structure Information | Download | Citation | Contact | Disclaimer

Brief Description:

The FUNWAVE TVD model outputs of Super Storm Sandy and 1% annual exceedance probability (AEP) storm scenario for Branford, Norwalk, and New Haven, CT. This dataset contains the wave height, water elevation during the stated storms at a finer resolution considering the complex nearshore dynamic on the shore.

Dataset Content:

The dataset includes FUNWAVE model outputs of 1% AEP (or 100-year) and Super Storm Sandy scenarios for coastal multiple towns in finer resolution. Each file contains surface water elevation (eta) and significant wave height (Hsig) for the corresponding model run. Also included are coordinates of the model grid (x, y in meters, and latitude and longitude) and model bathymetry. The time interval is 50s for eta and 100s for Hsig. 

Temporal Coverage:

The model duration for each run is 2 hours in real-time. The time interval is 50s for surface water elevation and 100s for significant wave height. 

Spatial Coverage:

The model domains are rectangular inside Branford, New Haven and Norwalk. The smallest grid resolution is 2 m on the shore.

Update Schedule:

• Recently updated on March 2021
• Next update: June 2021

Usage Restrictions:


Detailed Description:

The modeled regions uses FVCOM-SWAVE coupled model results as an output boundary condition and simulate the storms in a nearshore model run by FUNWAVE TVD to obtain onshore surface water elevation and significant wave height. The available scenarios are: output file for Branford 100-year scenario run output file for Norwalk 100-year scenario run output file for New Haven 100-year scenario run output file for Branford Hurricane Sandy run output file for Norwalk Hurricane Sandy run output file for New Haven Hurricane Sandy run


Please read the journal article to learn more about the methodology (Link to the article coming soon)

Related File Naming & Structure Information:

Dataset Format and Size:
• The dataset is grouped by town domains. The dataset format is NetCDF.
• The total data size is 35 GB. Each data size varies from 2-10 GB.
• No missing data.


FUNWAVE simulation outputs for the coastal towns of Connecticut (OPeNDAP):

How to access NetCDF data from THREDDS:
Thredds enables remote access of the NetCDF data, which can be accessed in MATLAB, Python, R, etc., via URLs. An example of accessing and plotting the model output data using Python is provided at
If you need to download the NetCDF files as a whole, you may use the nccopy command provided by the netcdf package. For example:

nccopy -4


For dataset source, please cite: Liu, C., Onat, Y., Jia, Y., and O’Donnell, J. (2021) Connecticut Coastal Towns Nearshore Model Storm Surge and Wave Height Dataset, (v.1), [Dataset], University of Connecticut, Connecticut Institute for Resilience and Climate Adaptation, Retrieved from Date Accessed:XX-XX-XXXX

Please note: If you acquire any data products from CIRCA, we ask that you acknowledge us in your use of the data. This may be done by including text such as “The data is provided by the UConn CIRCA, Connecticut, USA OR By citing the dataset in any documents or publications using these data.
We would also appreciate receiving a copy of the relevant publications. This will help us to justify keeping the data set freely available online in the future. Thank you!


Data Disclaimer:

This information is provided with the understanding that it is not guaranteed to be correct or complete and conclusions drawn from such information are the sole responsibility of the user. Attempts have been made to ensure that this data or documentation is accurate and reliable; The University of Connecticut, nor the Department of Marine Sciences, does not assume liability for any damages caused by inaccuracies in this data or documentation, or as a result of the failure of the data or software to function in a particular manner. The University of Connecticut, nor the CIRCA, makes no warranty, expressed or implied, as to the accuracy, completeness, or utility of this information, nor does the fact of distribution constitute a warranty.