Skillful multiyear prediction of flood frequency along the US Northeast Coast using a high-resolution modeling system

Using tide gauge (TG) observations, we identify pronounced multidecadal fluctuations in sea level along the US Northeast Coast (USNEC) superimposed on a long-term increasing trend. This multidecadal sea level variability, largely arising from fluctuations in the buoyancy-driven Atlantic meridional overturning circulation (AMOC), substantially modulates the frequency of flood occurrences along the USNEC and serves as a source of multiyear predictability. Using an initialized dynamical downscaling decadal prediction system with a 1 / 12 ° ocean resolution, we demonstrate that flood frequency along the USNEC can be predicted on multiyear to decadal timescales. The long-term increasing trend in flood frequency, mainly driven by increasing greenhouse gases and associated radiative forcing changes, can be predicted a decade ahead. Furthermore, detrended flood frequency along the USNEC exhibits prediction skill for up to 3 years, as verified by TG observation. This multiyear prediction skill is achieved using prediction models that are initialized from our best estimate of observed AMOC.

To Access Resource:

Questions? Email Resource Support Contact:

  • opensky@ucar.edu
    UCAR/NCAR - Library

Resource Type publication
Temporal Range Begin N/A
Temporal Range End N/A
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Dataset #1 : Replication of paper entitled "Skillful multiyear prediction of flood frequency along the U.S. Northeast Coast using a high-resolution modeling system".

Related Dataset #2 : Sea level measured by tide gauges from global oceans as part of the Joint Archive for Sea Level (JASL) since 1846

Additional Information N/A
Resource Format PDF
Standardized Resource Format PDF
Asset Size N/A
Legal Constraints

Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


Access Constraints None
Software Implementation Language N/A

Resource Support Name N/A
Resource Support Email opensky@ucar.edu
Resource Support Organization UCAR/NCAR - Library
Distributor
Metadata Contact Name N/A
Metadata Contact Email opensky@ucar.edu
Metadata Contact Organization UCAR/NCAR - Library

Author Zhang, Liping ORCID icon
Delworth, T. L.
Koul, V. ORCID icon
Ross, A.
Stock, C.
Yang, X.
Zeng, F.
Wittenberg, A.
Zhao, J.
Gu, Q.
Li, S.
Publisher UCAR/NCAR - Library

Publication Date 2025-05-16T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2025-12-24T17:49:31.924721
Metadata Record Identifier edu.ucar.opensky::articles:43719
Metadata Language eng; USA
Suggested Citation Zhang, Liping, Delworth, T. L., Koul, V., Ross, A., Stock, C., Yang, X., Zeng, F., Wittenberg, A., Zhao, J., Gu, Q., Li, S.. (2025). Skillful multiyear prediction of flood frequency along the US Northeast Coast using a high-resolution modeling system. UCAR/NCAR - Library. https://n2t.net/ark:/85065/d7w95fmn. Accessed 23 March 2026.

Harvest Source