Data Supplement for 'A hybrid dynamical approach for seasonal prediction of sea-level anomalies: a pilot study for Charleston, South Carolina'
Creators
- 1. NASA Jet Propulsion Laboratory
- 2. University of Miami
Description
This dataset is a supplement to the paper: 'A hybrid dynamical approach for seasonal prediction of sea-level anomalies: a pilot study for Charleston, South Carolina'. Please cite this paper when using this dataset.
(c) 2022 All rights reserved.
This dataset can be used in combination with the scripts that are provided in a Github repository.
Contents
adjoint_sensitivities.zip: Contains the adjoint sensitivities of sea level in Charleston to wind stress, heat, and freshwater fluxes, as described in the paper. These files are in binary format. Some scripts to read these files and sort them accordingly can be found in the aforementioned Github repository. An example can be found in 'convert_sens_to_2d.jl'.
results_tseries.zip: Contains the time series of observed, reconstructed, and predicted sea level. Provided are the estimates for tide-gauge (TG) and altimetry (Alt) observations, both detrended and non-detrended. The data are stored in the NetCDF format.
results_stats.zip: Contains the statistics of all reconstructions and projections. Similar to the time series files, the estimates are provided for benchmarks against altimetry (Alt) and tide-gauge (TG) observations, both detrended and non-detrended. These data are also stored in NetCDF format.