Capturing Fresh Layers with the Surface Salinity Profiler

Drushka, Kyla; Asher, William E.; Jessup, Andrew T.; Thompson, Elizabeth; Iyer, Suneil; Clark, Dan

doi:10.5670/oceanog.2019.215

Cited by 36 publications

(49 citation statements)

References 23 publications

(42 reference statements)

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“…The NCEP GFS has an equivalent horizontal resolution of about 18 km. This is adequate to drive the model, but may not be enough to resolve isolated convective systems which produce small-scale rain puddles and sharp horizontal SSS gradients [21,37,38]. More details about the forcing, data assimilation scheme, the rest of the modeling system, as well as detailed comparisons between this model and observations for the SPURS-2 region, are given by [39].…”

Section: Roms Simulationmentioning

confidence: 99%

Subfootprint Variability of Sea Surface Salinity Observed during the SPURS-1 and SPURS-2 Field Campaigns

Bingham

2019

Remote Sensing

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Subfootprint variability (SFV), variability within the footprint of a satellite measurement, is a source of error associated with the validation process, especially for a satellite measurement with a large footprint such as those measuring sea surface salinity (SSS). This type of error has not been adequately quantified in the past. In this study, I have examined SFV using in situ ocean data from the SPURS-1 (Salinity Processes in the Upper ocean Regional Studies-1) and SPURS-2 field campaigns in the subtropical North Atlantic and eastern tropical North Pacific respectively. I computed SFV from these data over two one-year periods of intense sampling. The results show that SFV is highly seasonal. I have computed SFV errors in several different forms, a median value of the weekly snapshot error, a total snapshot error, an absolute error of the Aquarius and SMAP (Soil Moisture Active Passive) measurement, a part of that error associated with SFV and a bias due to the skewness of the distribution of SSS. These results are characteristic only of the particular regions studied. However, comparison of the results with high resolution models, and in situ data from moorings gives the possibility of getting global estimates of SFV from these other more common sources of SSS data.

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Section: Roms Simulationmentioning

confidence: 99%

Subfootprint Variability of Sea Surface Salinity Observed during the SPURS-1 and SPURS-2 Field Campaigns

Bingham

2019

Remote Sensing

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“…However, upper layers of the EPFP may not be well mixed all of the time. Frequent rainfall creates highly stratified shallow "lenses" that last several hours before they are incorporated into the bulk of the mixed layer (Drushka et al, 2019, in this issue). Although rain beneath the ITCZ is frequent, it is not continuous.…”

Section: Introductionmentioning

confidence: 99%

Rain and Sun Create Slippery Layers in the Eastern Pacific Fresh Pool

Shcherbina

D’Asaro

Harcourt

2019

Oceanog

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“…In addition to the CTDs, water from the surface (~5‐cm depth) is sampled continuously using a “sea snake” (a floating device to pump near‐surface water and measure near‐surface temperature). The T is measured using an SBE 56 sensor mounted alongside the “sea snake” inlet, and salinity is measured by an SBE 45 TSG mounted on the SSP (Drushka et al, ). Because of the debubbler used for the sea snake TSG, its response time was longer than that of the four keel‐mounted CTDs.…”

Section: Datamentioning

confidence: 99%

Intense and Small Freshwater Pools From Rainfall Investigated During Spurs‐2 on 9 November 2017 in the Eastern Tropical Pacific

et al. 2020

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During the second Salinity Processes in the Upper Ocean Regional Study (SPURS‐2) 2017 tropical Pacific cruise, two drifters were deployed on 9 November. The drifters measured temperature and salinity in the top 36 cm, wave spectra, and the noise of rain drops. During a short nearly circular survey with a 1.8‐km radius around the drifters, the R/V Revelle measured air‐sea fluxes, as well as temperature and salinity stratification in the top 1 m from a towed surface salinity profiler (SSP). A C‐band weather radar measuring rain rate within 1‐ to 100‐km range of the ship observed discrete rain cells organized in a system moving from the southeast to the northwest. Some of the intense rain cells were small scale (1 km in diameter or less) with short lifetimes yet dropped more than 5 cm of water in half an hour near the drifters, whereas the ship measured short rain episodes totaling 1.3 cm of rainfall mostly accompanied by very low wind. The data indicate a large spatial heterogeneity in temperature and salinity, with near‐surface freshening of up to 9 psu measured at different times by the two drifters (separated by less than 500 m) and by the SSP. The drifters indicate deepening of the fresh and cool surface layer during the rain which then thinned during the following 40 min with very low wind speed (<2 m/s). Patchy surface‐trapped cold and fresh layers were also observed by the SSP east of the drifters. The high spatial and temporal variability of rainfall and surface‐trapped fresh pools is discussed.

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Capturing Fresh Layers with the Surface Salinity Profiler

Cited by 36 publications

References 23 publications

Subfootprint Variability of Sea Surface Salinity Observed during the SPURS-1 and SPURS-2 Field Campaigns

Subfootprint Variability of Sea Surface Salinity Observed during the SPURS-1 and SPURS-2 Field Campaigns

Rain and Sun Create Slippery Layers in the Eastern Pacific Fresh Pool

Intense and Small Freshwater Pools From Rainfall Investigated During Spurs‐2 on 9 November 2017 in the Eastern Tropical Pacific

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