The Inconsistent Pairs Between In Situ Observations of Near Surface Salinity and Multiple Remotely Sensed Salinity Data
Abstract This study employs three remotely sensed Sea Surface Salinity products to diagnose the “inconsistent pairs” between the in situ observations of the Near Surface Salinity from delayed‐mode tropical moored buoys and Argo floats and the satellite salinity in the temporal range of April 2015–De...
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Format: | Article |
Language: | English |
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American Geophysical Union (AGU)
2021-05-01
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Series: | Earth and Space Science |
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Online Access: | https://doi.org/10.1029/2020EA001355 |
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author | Hengqian Yan Huizan Wang Ren Zhang Senliang Bao Jian Chen Gongjie Wang |
author_facet | Hengqian Yan Huizan Wang Ren Zhang Senliang Bao Jian Chen Gongjie Wang |
author_sort | Hengqian Yan |
collection | DOAJ |
description | Abstract This study employs three remotely sensed Sea Surface Salinity products to diagnose the “inconsistent pairs” between the in situ observations of the Near Surface Salinity from delayed‐mode tropical moored buoys and Argo floats and the satellite salinity in the temporal range of April 2015–December 2018. By means of an adapted 3‐Sigma criterion and unanimous voting strategy, 11 (636) moored buoys (Argo floats) have at least one inconsistent observation pairs in their time series and 1 (41) have more than five. Besides, the time series of 1 (25) moored buoy (Argo floats) is diagnosed as inconsistent series due to the large bias of the whole series. Corresponding to a wide range of shifted observations, the continuous inconsistent values of moored buoy 8n38w can be flagged as bad observations. In terms of Argo, the combined analysis of time series, trajectories, profiles, and analyzed fields implies that the inconsistent pairs between Argo and satellite products are closely related to the mesoscale motions. The results suggest that sub‐footprint variability plays a dominant role in the inconsistent pairs of Argo, as most inconsistencies are characterized by the near‐surface mixed layer. Furthermore, the continuous positive inconsistencies of Argo 4901466 highlight the temporal under‐sampling of the existing satellite salinity products. |
first_indexed | 2024-12-19T10:24:33Z |
format | Article |
id | doaj.art-2e958fd5a8de499bb1af0b1d242223ee |
institution | Directory Open Access Journal |
issn | 2333-5084 |
language | English |
last_indexed | 2024-12-19T10:24:33Z |
publishDate | 2021-05-01 |
publisher | American Geophysical Union (AGU) |
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series | Earth and Space Science |
spelling | doaj.art-2e958fd5a8de499bb1af0b1d242223ee2022-12-21T20:25:57ZengAmerican Geophysical Union (AGU)Earth and Space Science2333-50842021-05-0185n/an/a10.1029/2020EA001355The Inconsistent Pairs Between In Situ Observations of Near Surface Salinity and Multiple Remotely Sensed Salinity DataHengqian Yan0Huizan Wang1Ren Zhang2Senliang Bao3Jian Chen4Gongjie Wang5College of Meteorology and Oceanography National University of Defense Technology Changsha ChinaCollege of Meteorology and Oceanography National University of Defense Technology Changsha ChinaCollege of Meteorology and Oceanography National University of Defense Technology Changsha ChinaCollege of Meteorology and Oceanography National University of Defense Technology Changsha ChinaBeijing Institute of Applied Meteorology Beijing ChinaCollege of Meteorology and Oceanography National University of Defense Technology Changsha ChinaAbstract This study employs three remotely sensed Sea Surface Salinity products to diagnose the “inconsistent pairs” between the in situ observations of the Near Surface Salinity from delayed‐mode tropical moored buoys and Argo floats and the satellite salinity in the temporal range of April 2015–December 2018. By means of an adapted 3‐Sigma criterion and unanimous voting strategy, 11 (636) moored buoys (Argo floats) have at least one inconsistent observation pairs in their time series and 1 (41) have more than five. Besides, the time series of 1 (25) moored buoy (Argo floats) is diagnosed as inconsistent series due to the large bias of the whole series. Corresponding to a wide range of shifted observations, the continuous inconsistent values of moored buoy 8n38w can be flagged as bad observations. In terms of Argo, the combined analysis of time series, trajectories, profiles, and analyzed fields implies that the inconsistent pairs between Argo and satellite products are closely related to the mesoscale motions. The results suggest that sub‐footprint variability plays a dominant role in the inconsistent pairs of Argo, as most inconsistencies are characterized by the near‐surface mixed layer. Furthermore, the continuous positive inconsistencies of Argo 4901466 highlight the temporal under‐sampling of the existing satellite salinity products.https://doi.org/10.1029/2020EA001355inconsistent pairsin situ salinityremotely sensed salinitysub‐footprint variability |
spellingShingle | Hengqian Yan Huizan Wang Ren Zhang Senliang Bao Jian Chen Gongjie Wang The Inconsistent Pairs Between In Situ Observations of Near Surface Salinity and Multiple Remotely Sensed Salinity Data Earth and Space Science inconsistent pairs in situ salinity remotely sensed salinity sub‐footprint variability |
title | The Inconsistent Pairs Between In Situ Observations of Near Surface Salinity and Multiple Remotely Sensed Salinity Data |
title_full | The Inconsistent Pairs Between In Situ Observations of Near Surface Salinity and Multiple Remotely Sensed Salinity Data |
title_fullStr | The Inconsistent Pairs Between In Situ Observations of Near Surface Salinity and Multiple Remotely Sensed Salinity Data |
title_full_unstemmed | The Inconsistent Pairs Between In Situ Observations of Near Surface Salinity and Multiple Remotely Sensed Salinity Data |
title_short | The Inconsistent Pairs Between In Situ Observations of Near Surface Salinity and Multiple Remotely Sensed Salinity Data |
title_sort | inconsistent pairs between in situ observations of near surface salinity and multiple remotely sensed salinity data |
topic | inconsistent pairs in situ salinity remotely sensed salinity sub‐footprint variability |
url | https://doi.org/10.1029/2020EA001355 |
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