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...

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Main Authors: Barceló-Llull, Bàrbara, Drushka, Kyla, Gaube, P.
Format: Other/Unknown Material
Language:English
Published: DIGITAL.CSIC 2020
Subjects:
Online Access:https://dx.doi.org/10.20350/digitalcsic/12830
https://digital.csic.es/handle/10261/225275
id ftdatacite:10.20350/digitalcsic/12830
record_format openpolar
spelling ftdatacite:10.20350/digitalcsic/12830 2023-05-15T17:45:34+02:00 Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations" Barceló-Llull, Bàrbara Drushka, Kyla Gaube, P. 2020 https://dx.doi.org/10.20350/digitalcsic/12830 https://digital.csic.es/handle/10261/225275 en eng DIGITAL.CSIC https://dx.doi.org/10.1029/2020jc016477 embargoedAccess Sea surface salinity SMAP satellite observations Physical Oceanography Lagrangian analysis Lagrangian simulations Other dataset Dataset 2020 ftdatacite https://doi.org/10.20350/digitalcsic/12830 https://doi.org/10.1029/2020jc016477 2021-11-05T12:55:41Z - 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 [here link to paper]. 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. Other/Unknown Material Northwest Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Sea surface salinity
SMAP satellite observations
Physical Oceanography
Lagrangian analysis
Lagrangian simulations
spellingShingle Sea surface salinity
SMAP satellite observations
Physical Oceanography
Lagrangian analysis
Lagrangian simulations
Barceló-Llull, Bàrbara
Drushka, Kyla
Gaube, P.
Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"
topic_facet Sea surface salinity
SMAP satellite observations
Physical Oceanography
Lagrangian analysis
Lagrangian simulations
description - 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 [here link to paper]. 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.
format Other/Unknown Material
author Barceló-Llull, Bàrbara
Drushka, Kyla
Gaube, P.
author_facet Barceló-Llull, Bàrbara
Drushka, Kyla
Gaube, P.
author_sort Barceló-Llull, Bàrbara
title Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"
title_short Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"
title_full Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"
title_fullStr Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"
title_full_unstemmed Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"
title_sort dataset to accompany "lagrangian reconstruction to extract small-scale salinity variability from smap observations"
publisher DIGITAL.CSIC
publishDate 2020
url https://dx.doi.org/10.20350/digitalcsic/12830
https://digital.csic.es/handle/10261/225275
genre Northwest Atlantic
genre_facet Northwest Atlantic
op_relation https://dx.doi.org/10.1029/2020jc016477
op_rights embargoedAccess
op_doi https://doi.org/10.20350/digitalcsic/12830
https://doi.org/10.1029/2020jc016477
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