December 2024

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Oceanography | Vol. 37, No. 4

FIGURE 3. UUV sampling during the 2018 pilot experiment. The left panels are temperature and salinity from Seaglider 124, with mixed layer depth indi-

cated. Wind and wave conditions (top right panels) and upper ocean turbulent dissipation rate (lower right panel) from Slocum glider “Husker” over the

course of several strong storms during the cruise period. White dots indicate mixed layer depth, and the contours indicate the ε = 10–9 and 10–7 W kg–1

dissipation levels. See also Figure 2.

SUMMARY AND DISCUSSION

During the multiple years of the NISKINe

program, an extraordinary number

of autonomous assets were employed

(Figure 2a). Te NISKINe study may be

among the largest collective deployments

of autonomous assets for a single pro-

gram. Tis focused use of autonomous

assets was particularly helpful in 2020,

when the Covid pandemic signifcantly

impacted the availability of ship-based

sampling. Together with ship sampling

and moorings, autonomous platforms

captured processes happening on many

diferent temporal and spatial scales that

are fundamental to understanding the

evolution of near-inertial waves.

While results from the NISKINe study

are still being assessed and written up, a

clear outcome of the program is a better

understanding of the signifcant role that

vorticity plays in moderating the input

and subsequent cascade of near-inertial

energy and shear into the ocean interior.

Such NIW-eddy interactions are high-

lighted in this special issue (e.g., Tomas

et al., 2024a). Te coupling of the atmo-

spheric storm track with enhanced

oceanic vorticity in the region of the

North Atlantic Current distinguishes

FIGURE 4. Sampling modules during the 2019 process cruise. The cruise track, colored by abso-

lute sea surface salinity, is overlaid upon contours of dynamic topography (2 cm intervals). The color

scale for salinity, the same for all panels, shows the details of the frontal stratification that character-

izes the submesoscale dynamics of the flow. Modules 1–4 are described in the text.

-28°

-26°

-24°

-22°

-20°

57°

58°

59°

60°

61°

35.1

35.15

35.2

35.25

35.3 g/kg

sea surface

absolute salinity

29 May 1400 to 06 Jun 0800

05 Jun 0800 to 08 Jun 0100

57°40’

57°50’

57°30’

57°20’

57°00’

24°00’

23°30’

24°30’

23°00’

22°00’

23°30’

22°30’

22°00’

21°00’

20°30’

22°30’

21°30’

24°00’

23°00’

22°30’

23°30’

57°10’

57°30’

57°20’

57°10’

58°10’

58°00’

57°50’

58°10’

58°20’

58°30’

58°40’

58°00’

58°10’

58°20’

58°30’

58°40’

58°50’

58°00’

08 Jun 0400 to 09 Jun 1500

09 Jun 1500 to 15 Jun 2100

20 km

20 km

20 km

20 km

confluence

jet

sheepdog

100 km

moorings

greyhound

deployment

 array #2

deployment

 array #3

deployment

 array #1

fence

CTDs

uCTD

uCTD

20 May

                                    

27 May

                                    

03 Jun

                                    

10 Jun

                                    

17 Jun

                                    

24 Jun

                                    

01 Jul

200

400

600

800

1000

depth   [m]

34.9

35

35.1

35.2

35.3

35.4

35.5 psu

MLD

50

100

150

200

250

300

350

400

450

500

550

600 650

700 km

cumulative distance along track

20 May

                                    

27 May

                                    

03 Jun

                                    

10 Jun

                                    

17 Jun

                                    

24 Jun

                                    

01 Jul

200

400

600

800

1000

depth   [m]

10

11

12°C

MLD

19 May

20

40

60

80

100

120

140

160

180

200

6.0

5.5

5.0

4.5

4.0

3.5

3.0

2.5

2.0

20

18

16

14

12

10

21 May

23 May

25 May

27 May

Depth (m)

Depth (m)

Depth (m)

Depth (m)

u10

Hs

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