Supplemental information for "Assessment of water levels from 43 years of NOAA's Coastal Ocean Reanalysis (CORA) for the Gulf of Mexico and East Coasts"

Research Article (Frontiers in Marine Science, 2024) (Supplementary Material)

Corresponding Authors: Linta Rose1 (lintar@hawaii.edu) and Matthew J. Widlansky1,2 (mwidlans@hawaii.edu)

Additional Authors: Xue Feng1, Philip Thompson1,2, Taylor G. Asher3, Gregory Dusek4, Brian Blanton5, Richard A. Luettich, Jr.3, John Callahan4,6, William Brooks4, Analise Keeney4, Jana Haddad4,6, William Sweet4, Ayesha Genz7, Paige Hovenga8, John Marra7, and Jeffrey Tilson5

1Cooperative Institute for Marine and Atmospheric Research, School of Ocean and Earth Science and Technology, University of Hawaiʻi at Mānoa, Honolulu, HI, USA
2Department of Oceanography, University of Hawaiʻi at Mānoa, Honolulu, HI, USA
3Coastal Resilience Center, University of North Carolina, Chapel Hill, NC, USA
4National Ocean Service, NOAA, Silver Spring, MD, USA
5Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC, USA
6Ocean Associates, Inc.
7National Centers for Environmental Information, NOAA, Honolulu, HI, USA
8Physical Sciences Laboratory, NOAA, Boulder, CO, USA

Abstract

CORA domain

Comparing water levels (Tide gauges and CORA)

Click a location to view or download water levels (data linked below plots).

Download collections of Monthly and Hourly water levels for all locations.

Type Format Size Download
Monthly CSV Collection CSV 344KB Download
Monthly Netcdf Netcdf 1.7MB Download
Hourly CSV Collection CSV 250MB Download
Hourly Netcdf Netcdf 282MB Download

Select additional information to view

Data

Method

Case study: Coastal flooding in Maimi, FL

CORA classification

Sample CORA data and code:

Custom GPT: CORA Assistant

CORA Assistant (requires ChatGPT Plus account from OpenAI)

The CORA Assistant uses AI to analyze data and assess the verification study. Always check for mistakes.

Discussion of related applications using similar AI technology (large-language models) is provided in this recording from the AGU Ocean Sciences Meeting 2024.

Funding and Acknowledgements