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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2020
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Online Access: | http://hdl.handle.net/10261/225275 https://doi.org/10.20350/digitalCSIC/12830 https://doi.org/10.13039/100000104 |
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ftcsic:oai:digital.csic.es:10261/225275 2024-02-11T10:07:13+01:00 Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations" Barceló-Llull, Bàrbara Drushka, Kyla Gaube, Peter National Aeronautics and Space Administration (US) Barceló-Llull, Bàrbara Drushka, Kyla Gaube, P. northwest Atlantic Ocean Oleander reconstructions: start = 2016-09-24; end = 2019-02-27 Weekly reconstructions: start = 2015-04-07; end = 2020-01-15; excluding the period between 2019-06-19 and 2019-07-22 when SMAP SSS data were not produced. 2020-12 http://hdl.handle.net/10261/225275 https://doi.org/10.20350/digitalCSIC/12830 https://doi.org/10.13039/100000104 en eng DIGITAL.CSIC Barceló-Llull, Bàrbara Drushka, Kyla; Gaube, Peter (2021). Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations. https://doi.org/10.1029/2020JC016477 . http://hdl.handle.net/10261/230392 Sí Barceló-Llull, Bàrbara; Drushka, Kyla; Gaube, Peter; 2020; Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"; DIGITAL.CSIC; http://dx.doi.org/10.20350/digitalCSIC/12830 http://hdl.handle.net/10261/225275 doi:10.20350/digitalCSIC/12830 http://dx.doi.org/10.13039/100000104 open Sea surface salinity SMAP satellite observations Physical Oceanography Lagrangian analysis Lagrangian simulations dataset http://purl.org/coar/resource_type/c_ddb1 2020 ftcsic https://doi.org/10.20350/digitalCSIC/1283010.13039/10000010410.1029/2020JC016477 2024-01-16T11:00:35Z - 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 reviewed Dataset Northwest Atlantic Digital.CSIC (Spanish National Research Council) |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
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, Peter 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 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 reviewed |
author2 |
National Aeronautics and Space Administration (US) Barceló-Llull, Bàrbara Drushka, Kyla Gaube, P. |
format |
Dataset |
author |
Barceló-Llull, Bàrbara Drushka, Kyla Gaube, Peter |
author_facet |
Barceló-Llull, Bàrbara Drushka, Kyla Gaube, Peter |
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 |
http://hdl.handle.net/10261/225275 https://doi.org/10.20350/digitalCSIC/12830 https://doi.org/10.13039/100000104 |
op_coverage |
northwest Atlantic Ocean Oleander reconstructions: start = 2016-09-24; end = 2019-02-27 Weekly reconstructions: start = 2015-04-07; end = 2020-01-15; excluding the period between 2019-06-19 and 2019-07-22 when SMAP SSS data were not produced. |
genre |
Northwest Atlantic |
genre_facet |
Northwest Atlantic |
op_relation |
Barceló-Llull, Bàrbara Drushka, Kyla; Gaube, Peter (2021). Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations. https://doi.org/10.1029/2020JC016477 . http://hdl.handle.net/10261/230392 Sí Barceló-Llull, Bàrbara; Drushka, Kyla; Gaube, Peter; 2020; Dataset to accompany "Lagrangian reconstruction to extract small-scale salinity variability from SMAP observations"; DIGITAL.CSIC; http://dx.doi.org/10.20350/digitalCSIC/12830 http://hdl.handle.net/10261/225275 doi:10.20350/digitalCSIC/12830 http://dx.doi.org/10.13039/100000104 |
op_rights |
open |
op_doi |
https://doi.org/10.20350/digitalCSIC/1283010.13039/10000010410.1029/2020JC016477 |
_version_ |
1790605385252470784 |