Your browser doesn't support javascript.
loading
Methodology and data for quantifying storm erosion potential considering sea level rise.
Fanning, Audrey C; Janssen, Matthew S; Lemke, Laura; Miller, Jon K.
Afiliação
  • Fanning AC; Davidson Laboratory, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
  • Janssen MS; Davidson Laboratory, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
  • Lemke L; Guy Carpenter & Company LLC, 1166 Avenue of the Americas, New York, NY 10036, USA.
  • Miller JK; Davidson Laboratory, Stevens Institute of Technology, Hoboken, NJ 07030, USA.
Data Brief ; 55: 110685, 2024 Aug.
Article em En | MEDLINE | ID: mdl-39234062
ABSTRACT
This dataset quantifies storm intensity of approximately 130 unique historical storms along the New Jersey coastline from 1980 to 2014 for three separate sea level conditions. Namely, (1) as observed in the historical record; (2) detrended to 1997 mean sea level and (3) adjusted to the 2050 and 2100 sea level rise scenarios presented in the International Panel on Climate Change's (IPCC) Sixth Assessment Report (AR6). Projected sea level scenarios are adjusted to include local vertical land movement. Storm intensity is quantified in terms of erosion potential, considering the combination of total water level, wave heights, and storm duration. The observational dataset includes both tropical and extratropical storms and quantifies both the cumulative (duration) and peak (single hour) storm intensity for each storm and sea level rise (SLR) condition. Additionally, hourly time series of wave characteristics and water levels are provided at 13 locations along the New Jersey coast, facilitating hydrodynamic forcing of nearshore models. The dataset provides the means and methods to directly compare historical storms under future SLR conditions.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos