Connecticut Coastal Towns Storm Surge and Significant Wave Height Dataset

Brief Description:

The annual exceedance probability of storm surge water level and significant wave heights for all the coastal towns, and modeled hourly water level and significant wave height during the strongest 44 storms between 1950-2018.

Dataset Content:

Table values and images for specific return interval.
NetCDF data containing hourly FVCOM outputs of water level and significant wave height during each of the 44 storms.

Temporal Coverage:

Results cover the simulation of 44 storms between 1950-2018.

Spatial Coverage:

Individual 24 locations of the grid points for towns are given in the dataset table.
NetCDF data covers the Long Island Sound, Block Island Sound, and the adjacent shelf south of Long Island.

Update Schedule:

• Recently updated on October 29, 2020.
• Next update: 2025

Usage Restrictions:

None

Detailed Description:

The study modeled Long Island Sound using a coupled coastal circulation and wave model (FVCOM-SWAVE) and hindcast 44 storms between 1950-2018. Hourly outputs of water level and wave height from the 44 simulations in NetCDF format are provided through the OPeNDAP server. Duration for each storm simulation is between 5-8 days. The table and image dataset contains the empirical probability results that fit Poisson-GPD distribution. The storm surge water level and significant wave heights for the specific event annual exceedance probability is provided for 24 Connecticut coastal towns.

Documentation:

Please read the journal article to learn more about the methodology (https://www.mdpi.com/2077-1312/8/7/475/htm)

Related File Naming & Structure Information:

Dataset Format and Size:
• The dataset is grouped into all data “AllCoastalTowns-ReturnInterval-CT.zip”
• The data size is less than 15MB
• No missing data.

Download:

AllCoastalTowns-ReturnInterval-CT.zip

FVCOM simulation output of the 44 strongest storms (OPeNDAP): http://triton.dms.uconn.edu:6080/thredds/catalog.html

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 https://nbviewer.jupyter.org/urls/github.uconn.edu/raw/gist/chl19041/9071044da8448986e7ddcae2df0fdb90/raw/d9f18a0d1692531b3aebffa358c4b9ef2d920a5a/LIS_opendap_example.ipynb
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
http://triton.dms.uconn.edu:6080/thredds/dodsC/data/LIS_Oct2012.nc LIS_Oct2012.nc

Citation:

For dataset source, please cite: Liu, C., Jia, Y., Onat, Y., Cifuentes-Lorenzen, A., Ilia, A., McCardell, G., Fake, T. and O’Donnell, J. (2020) Connecticut Coastal Towns Storm Surge and Significant Wave Height Dataset, (v.1), [Dataset], University of Connecticut, Connecticut Institute for Resilience and Climate Adaptation, Retrieved from https://resilientconnecticut.uconn.edu/resources/datasets/connecticut-coastal-towns-storm-surge-and-significant-wave-height-dataset/

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!

Contact:

circa@uconn.edu

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.

Resilient Connecticut