Consistency of Aquarius sea surface salinity with Argo products on various spatial and temporal scales

Lee, Tong

doi:10.1002/2016gl068822

Cited by 46 publications

(46 citation statements)

References 36 publications

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“…The spatial average within the box would further reduce the data uncertainty, as the difference between Aquarius and Argo DS is less than 0.1 pss. Lee (2016;Fig. 3) also showed that the accuracy of Aquarius V4 FIG. 14.…”

Section: Fig 12 (A) Meanmentioning

confidence: 97%

The Global Ocean Water Cycle in Atmospheric Reanalysis, Satellite, and Ocean Salinity

Jin

Josey

et al. 2017

Journal of Climate

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This study provides an assessment of the uncertainty in ocean surface (OS) freshwater budgets and variability using evaporation E and precipitation P from 10 atmospheric reanalyses, two combined satellite-based E 2 P products, and two observation-based salinity products. Three issues are examined: the uncertainty level in the OS freshwater budget in atmospheric reanalyses, the uncertainty structure and association with the global ocean wet/dry zones, and the potential of salinity in ascribing the uncertainty in E 2 P. The products agree on the global mean pattern but differ considerably in magnitude. The OS freshwater budgets are 129 6 10 (8%) cm yr 21 for E, 118 6 11 (9%) cm yr 21 for P, and 11 6 4 (36%) cm yr 21 for E 2 P, where the mean and error represent the ensemble mean and one standard deviation of the ensemble spread. The E 2 P uncertainty exceeds the uncertainty in E and P by a factor of 4 or more. The large uncertainty is attributed to P in the tropical wet zone. Most reanalyses tend to produce a wider tropical rainband when compared to satellite products, with the exception of two recent reanalyses that implement an observation-based correction for the model-generated P over land. The disparity in the width and the extent of seasonal migrations of the tropical wet zone causes a large spread in P, implying that the tropical moist physics and the realism of tropical rainfall remain a key challenge. Satellite salinity appears feasible to evaluate the fidelity of E 2 P variability in three tropical areas, where the uncertainty diagnosis has a global indication.

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Section: Fig 12 (A) Meanmentioning

confidence: 97%

The Global Ocean Water Cycle in Atmospheric Reanalysis, Satellite, and Ocean Salinity

Jin

Josey

et al. 2017

Journal of Climate

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“…Therefore, the Argo gridded data in these regions can be significantly affected by the sampling errors of the Argo array. In fact, Lee [20] found that the STD values between two of the Argo-SIO and Argo-APDRC products are as large as or even larger than the STD values between Aquarius and either of the Argo product in some of these regions. This is also reflected in Figure 7 by comparing the STD maps for Aquarius-Argo salinity for various resolutions of the Aquarius data as well as the STD for the difference between Argo-SIO and Argo-APDRC data.…”

Section: Quantification Of the Time-mean Seasonal And Non-seasonal mentioning

confidence: 99%

Assessment of Aquarius Sea Surface Salinity

et al. 2018

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Abstract:Aquarius was the first NASA satellite to observe the sea surface salinity (SSS) over the global ocean. The mission successfully collected data from 25 August 2011 to 7 June 2015. The Aquarius project released its final version (Version-5) of the SSS data product in December 2017. The purpose of this paper is to summarize the validation results from the Aquarius Validation Data System (AVDS) and other statistical methods, and to provide a general view of the Aquarius SSS quality to the users. The results demonstrate that Aquarius has met the mission target measurement accuracy requirement of 0.2 psu on monthly averages on 150 km scale. From the triple point analysis using Aquarius, in situ field and Hybrid Coordinate Ocean Model (HYCOM) products, the root mean square errors of Aquarius Level-2 and Level-3 data are estimated to be 0.17 psu and 0.13 psu, respectively. It is important that caution should be exercised when using Aquarius salinity data in areas with high radio frequency interference (RFI) and heavy rainfall, close to the coast lines where leakage of land signals may significantly affect the quality of the SSS data, and at high-latitude oceans where the L-band radiometer has poor sensitivity to SSS.

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“…The L-band radiometer at low sea surface temperatures has previously been noted to have low sensitivity in the high latitudes [38]. Previous SMOS products discussed SDs between 0.4 and 0.5 psu for the different basins of the Southern Ocean [39], values much larger than those of the current unbiased SMOS product [29].…”

Section: Satellite-derived Salinitymentioning

confidence: 63%

A Comparison of Satellite-Derived Sea Surface Salinity and Salt Fluxes in the Southern Ocean

Ferster

Subrahmanyam

2018

Remote Sens Earth Syst Sci

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Consistency of Aquarius sea surface salinity with Argo products on various spatial and temporal scales

Cited by 46 publications

References 36 publications

The Global Ocean Water Cycle in Atmospheric Reanalysis, Satellite, and Ocean Salinity

The Global Ocean Water Cycle in Atmospheric Reanalysis, Satellite, and Ocean Salinity

Assessment of Aquarius Sea Surface Salinity

A Comparison of Satellite-Derived Sea Surface Salinity and Salt Fluxes in the Southern Ocean

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