Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"

- Oleander_reconstructions: each netcdf file in this folder corresponds to the simulation done to reconstruct sea surface salinity SMAP observations for each day having in situ observations from the M/V Oleander thermosalinograph. - Weekly_reconstructions: each netcdf file in this folder corresponds to the simulation done to reconstruct weekly sea surface salinity SMAP observations. Note that the period between 2019-06-19 and 2019-07-22, when SMAP sea surface salinity data were not produced, is excluded.-- In each netcdf file: The dimension “traj” refers to the identifier for each simulated particle. The dimension “obs” refers to each time step. To plot maps of the reconstructed salinity fields, plot the particles at their final position with their salinity value. This is: lon(all indices, last index). lat(all indices, last index), sss_adv(all indices). The date in each netcdf file name is the date of the final position, i.e., the date of the reconstructed field.Lagrangian reconstruction of gridded sea surface salinity (SSS) observations made by the Soil Moisture Active Passive (SMAP) satellite in the northwest Atlantic Ocean. Using altimetric geostrophic currents, we numerically advected SMAP SSS fields to produce a Lagrangian reconstruction that represents small scales. For more details of the Lagrangian reconstruction method, see the associated paper “Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations” available at https://doi.org/10.1029/2020JC016477. In this paper we compare the reconstructed fields with in situ observations from the M/V Oleander thermosalinograph and we evaluate the small-scale SSS variability of the northwest Atlantic Ocean.This dataset has been developed in the framework of the (Sub)mesoscale Salinity Variability at Fronts project (NNX17AK04G) funded by the National Aeronautics and Space Administration (NASA).Peer reviewe