Spray activities for asap
This presentation is the property of its rightful owner.
Sponsored Links
1 / 11

Spray Activities for ASAP PowerPoint PPT Presentation


  • 55 Views
  • Uploaded on
  • Presentation posted in: General

Spray Activities for ASAP. Scripps Institution of Oceanography Russ Davis Jeff Sherman Jim Dufour Brent Jones 1. Array design and glider routing 2. Field operations and new technical developments 3. Science - define scales – map measured velocity

Download Presentation

Spray Activities for ASAP

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Spray activities for asap

Spray Activities for ASAP

Scripps Institution of Oceanography

Russ Davis

Jeff Sherman

Jim Dufour

Brent Jones

1. Array design and glider routing

2. Field operations and new technical developments

3. Science - define scales – map measured velocity

the role of surface layer and eddies in upwelling

evaluate glider control strategies


Array design routing

Array Design & Routing

1. A derivative from Snell’s Law provides most rapid path through known steady current between points A and B

General rule: In an adverse or perpendicular currents, go directly across the current. In weak or favorable currents head toward target.

2. A simple modified “current bucking” algorithm keeps gliders near prescribed track

General rule: Staying close to the track slows progress and can destroy mapping skill

3. Direct optimization of an array’s mapping skill leads to complex patterns of data distribution not suitable for human analysis

4. Direct optimization of mapping skill along “ideal tracks” provides a usable basis for automatic steering and inter-vehicle coordination


Fast routes in steady current

Fast Routes In Steady Current

Minimum travel time is found is found from first variation as Snell’s Law derives from Fermat’s Principle.

Dark lines are fastest paths from y=0 through current shown in red.

Light lines are second fastest extremum of travel time. This is analogous to the multiple “rays” found from Snell’s Law.


Staying on assigned track

Staying On Assigned Track

U

L

Head toward “steering point” (red diamond) using current compensation. Used during much of MB2006.Works poorly when vehicle is far from track.


Steering to maximize skill

Steering To Maximize Skill

As each glider surfaces, it is given the heading that maximizes mapping skill upon arrival.

Avoids vehicle bunching on field correlation scale.

Tuning with an attractor to the track keeps gliders near their ideal paths as they approach/pass each other.

Yields only a local optimum.

Doubles back


Field studies

Field Studies

1. One Spray constructed. Four prepared with CTD (pumped), Chlorophyll-a fluorometer, and 750 kHz ADCP ( ~ 25 m range)

2. Four units deployed near Moss Landing July 18-20 and recovered September 2 without interruption.

3. All sensors performed nominally. Measured 4527 profiles of T, S, fluorescence, acoustic backscatter and directly-measured velocity.

4. Optics and CTD that use pumped system were unaffected by biofouling that reduced the speed of one unit to a dangerous level

5. Sprays focused sampling on perimeter of control volume where ADCP add significantly to flux measurements

6. Limitations to controlling sampling were not strategy but inability to overcome 25 cm/s vertically averaged currents


Array performance

Array Performance

Figure shows array perimeter and typical station spacing. Sections between red marks were patrolled by oscillating “rocker” Spray

1. Find objective-mapping skill if vehicles move in perfect synchronism.

2. Compare with actual skill


Spray activities for asap

Skill vs. perimeter distance at various times in a cycle of four perfectly synchronized vehicles advancing at 25 cm/s

South-East

North-East

3. Array at peak behavior

2. Array begins to recover

1. Strong poleward current thwarts coordination

4. Allocation to interior ideal paths to replace Slocums degrades array performance


Plans for analysis

Plans For Analysis

  • 1. Extend AOSN scale analysis to better-measured ASAP array. Explore dependence of scale on upwelling/relaxation regimes

  • Use scale analysis with all ADP, ADCP and geostrophic shear data to generate 3-D maps of measured velocity including surface layer

  • Evaluate control algorithms by re-running gliders in reconstructed velocity field

  • Analyze magnitude and role of surface-layer transport in the heat budget and its relation to Ekman layer and model surface layers

  • Compare observed surface layer characteristics (T, S and velocity) with model characteristics.

  • Establish role of eddy-associated “squirts” in the heat and mass budgets of upwelling

  • 7. Participate in model-data comparisons


  • Login