Meeting Presentations (4)
Internal Waves and Eddies from Gliders and the MITgcm [presentation]Drushka, K., Rainville, L., and Menemenlis, D. (27-Jun-18)
Exploiting Ocean Observations to Separate Mesoscale and Submesoscale Variability [presentation]Drushka, K., Rainville, L., and Menemenlis, D. (27-Jun-17)
Global Surface Density Variability on Scales Relevant to SWOT [poster]Drushka, K., Gille, S.T., Sprintall, J., Johnson, L., and Hoang, C.C. (13-Dec-16). In the present study, we exploit historical surface density observations from shipboard thermosalinographs (TSGs), which make continuous underway measurements of temperature and salinity at ~5 m depth. Though TSG measurements represent variations in the mixed layer rather than the column-integrated dynamic height variations that SWOT will sample, they nonetheless provide valuable information about where and when the ocean is energetic on the scales measured by SWOT.
Exploiting Ocean Observations to Separate Mesocscale and Submesoscale Variability [poster]Drushka, K., Rainville, L., and Menemenlis, D. (14-Jun-16)
Exploiting Ocean Observations to Separate Mesoscale and Submesoscale VariabilityPI: Kyla Drushka (22-Jun-17). A critical step in interpreting the SWOT signal will be to distinguish the mesoscale signals (wavelength > 50 km) from the other signals that will be detected by SWOT (e.g., submesoscale features, internal waves and tides, swell). This is a nontrivial problem, as these processes are not well understood or modeled. A further complication is that SWOT will have a temporal resolution of 10-20 days, making it difficult to identify the quickly evolving submesoscale field and internal waves. Tackling this problem requires a better understanding of ocean dynamics across the range of scales and regimes that SWOT will measure.