Data for: Saturation of ocean surface wave slopes observed during hurricanes

Observational wave data and modeled wind data to accompany the article J. Davis et al. (2023) \"Saturation of ocean surface wave slopes observed during hurricanes\" in Geophysical Research Letters. The observations include targeted aerial deployments into Hurricane Ian (2022) and opportunistic measurements from the free-drifting Sofar Ocean Spotter global network in Hurricane Fiona (2022). Surface wind speeds are modeled using the U.S. Naval Research Laboratory’s Coupled Ocean-Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS-TC). The datasets are table-like and include the following: 1) hourly records of surface wave statistics in the form of scalar energy spectra, directional moments, derived products (including mean square slope), and modeled wind speeds; 2) data to reproduce the binned mean square slopes and model wind speeds presented in the article; 3) data to reproduce the mean energy density versus wind speed plot; and 4) data to reproduce the mean energy densit..., This dataset contains wave measurements collected by free-drifting Spotter buoys (Sofar Ocean) which use GPS-derived motions to report hourly records of surface wave statistics in the form of scalar energy spectra and directional moments. The observational data are combined with modeled surface wind speeds from the U.S. Naval Research Laboratory’s Coupled Ocean-Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS-TC) which are interpolated onto the Spotter wave observations in time and space., The datasets are stored as text-based JSON and CSV files which can be read without the use of special software. The JSON files are created using the Python Pandas package `DataFrame.to_json` method with orient='records'. Example code is provided in MATLAB and Python., # Data to accompany the article \"Saturation of ocean surface wave slopes observed during hurricanes\"

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Contains wave observations by free-drifting Spotter buoys from targeted aerial deployments into Hurricane Ian (2022) and opportunistic measurements from the free-drifting Sofar Ocean Spotter global network in Hurricane Fiona (2022). The observations are co-located with modeled surface wind speeds from the U.S. Naval Research Laboratorys Coupled Ocean-Atmosphere Mesoscale Prediction System for Tropical Cyclones (COAMPS-TC). The data are used in the article to show the saturation of mean square slope at extreme wind speeds and the coincident transition from an equilibrium-dominated spectral tail to a saturation-dominated tail. This archive contains two main, table-like datasets of wind-wave data (from Ian and Fiona) and three derived datasets necessary to reproduce the results and figures in the article.

## Description of the data and file structure

The dataset is organized into fi...