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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Online Access: | https://dx.doi.org/10.20350/digitalcsic/12830 https://digital.csic.es/handle/10261/225275 |
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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 |
_version_ |
1766148675801710592 |