Validating SMAP SSS with in situ measurements
Validating SMAP SSS with in situ measurements
Sea surface salinity (SSS) retrieved from SMAP radiometer measurements are validated against in situ salinity from Argo floats, tropical moored buoys and ship-based thermosalinograph (TSG) data. SMAP SSS achieved an accuracy of 0.2 PSU on a monthly basis in comparison with Argo gridded data in the tropics and mid-latitudes. In the tropical oceans, time series comparison of salinity measured at 1 m by moored buoys indicates that SMAP can track large salinity changes occurred within a month. Synergetic analysis of SMAP, SMOS and Argo data allows us to identify and exclude erroneous jumps or drift in some real-time buoy data from the assessment of the satellite data. The resulting SMAP-buoy matchup analysis gives an average standard deviation of 0.22 PSU and correlation coefficient of 0.73 on weekly scale. On monthly time scales, the average standard deviation reduced to 0.17 PSU and the correlation coefficient improved to 0.8. SMAP L3 daily maps reveals salty water intrusions from the Arabian Sea into the Bay of Bengal during the Indian summer monsoon, consistent with the daily measurements collected from Argo floats deployed during the Bay of Bengal Boundary Layer Experiment (BoBBLE) project field campaign. In the Mediterranean Sea, the spatial pattern of SSS from SMAP is confirmed by the ship-based TSG. Comparison with individual Argo floats suggests the SMAP retrieval algorithm performs better in the Western Mediterranean region, but suffers from radio-frequency interference (RFI) and land contamination in the Eastern Mediterranean region and Adriatic Sea.
326-340
Tang, Wenqing
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Fore, Alexander
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Yueh, Simon
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Lee, Tong
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Hayashi, Akiko
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Sanchez-Franks, Alejandra
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Martinez, Justino
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King, Brian
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Baranowski, Dariusz
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1 October 2017
Tang, Wenqing
a2feb455-09d1-440a-8b84-6b7c09d6738a
Fore, Alexander
6c1b4533-e77e-4f8d-a9d9-ce0dc904cbbb
Yueh, Simon
bb4511b4-8ad6-431e-8fd4-a221c5fc4c09
Lee, Tong
70e32ef6-9e98-42fe-811d-530e8c4bca94
Hayashi, Akiko
7806be0a-be26-4f80-a900-44c2b3ed8bd8
Sanchez-Franks, Alejandra
ce8ef4a4-086a-4402-a2c1-72db55ff811f
Martinez, Justino
a967e4c5-ee83-43b8-9690-22a314aabd2b
King, Brian
960f44b4-cc9c-4f77-b3c8-775530ac0061
Baranowski, Dariusz
c76b5d6c-0aaa-4cd6-8b45-c12bb17ccaf2
Tang, Wenqing, Fore, Alexander, Yueh, Simon, Lee, Tong, Hayashi, Akiko, Sanchez-Franks, Alejandra, Martinez, Justino, King, Brian and Baranowski, Dariusz
(2017)
Validating SMAP SSS with in situ measurements.
Remote Sensing of Environment, 200, .
(doi:10.1016/j.rse.2017.08.021).
Abstract
Sea surface salinity (SSS) retrieved from SMAP radiometer measurements are validated against in situ salinity from Argo floats, tropical moored buoys and ship-based thermosalinograph (TSG) data. SMAP SSS achieved an accuracy of 0.2 PSU on a monthly basis in comparison with Argo gridded data in the tropics and mid-latitudes. In the tropical oceans, time series comparison of salinity measured at 1 m by moored buoys indicates that SMAP can track large salinity changes occurred within a month. Synergetic analysis of SMAP, SMOS and Argo data allows us to identify and exclude erroneous jumps or drift in some real-time buoy data from the assessment of the satellite data. The resulting SMAP-buoy matchup analysis gives an average standard deviation of 0.22 PSU and correlation coefficient of 0.73 on weekly scale. On monthly time scales, the average standard deviation reduced to 0.17 PSU and the correlation coefficient improved to 0.8. SMAP L3 daily maps reveals salty water intrusions from the Arabian Sea into the Bay of Bengal during the Indian summer monsoon, consistent with the daily measurements collected from Argo floats deployed during the Bay of Bengal Boundary Layer Experiment (BoBBLE) project field campaign. In the Mediterranean Sea, the spatial pattern of SSS from SMAP is confirmed by the ship-based TSG. Comparison with individual Argo floats suggests the SMAP retrieval algorithm performs better in the Western Mediterranean region, but suffers from radio-frequency interference (RFI) and land contamination in the Eastern Mediterranean region and Adriatic Sea.
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compressed_RSE-D-16-01436_postprint
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Accepted/In Press date: 14 August 2017
Published date: 1 October 2017
Identifiers
Local EPrints ID: 414038
URI: http://eprints.soton.ac.uk/id/eprint/414038
ISSN: 0034-4257
PURE UUID: a0913e10-5161-4a74-8766-5150a0932cd3
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Date deposited: 13 Sep 2017 16:31
Last modified: 16 Mar 2024 05:43
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Contributors
Author:
Wenqing Tang
Author:
Alexander Fore
Author:
Simon Yueh
Author:
Tong Lee
Author:
Akiko Hayashi
Author:
Alejandra Sanchez-Franks
Author:
Justino Martinez
Author:
Brian King
Author:
Dariusz Baranowski
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