LAGRANGIAN OCEAN SEARCH TARGETS MICHAEL HART-DAVIS BJRN BACKEBERG - - PowerPoint PPT Presentation

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LAGRANGIAN OCEAN SEARCH TARGETS MICHAEL HART-DAVIS BJRN BACKEBERG - - PowerPoint PPT Presentation

Jan 02, 2023 245 likes •418 views

LAGRANGIAN OCEAN SEARCH TARGETS MICHAEL HART-DAVIS BJRN BACKEBERG MOSTAFA BAKHODAY-PASKYABI National Sea Rescue Institute 2017 Rescue Stats 1 050 Rescue Operations 1 224 People Rescued 21 Animals Rescued MIKE HART-DAVIS @_LOST_ATSEA_

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SLIDE 1

LAGRANGIAN OCEAN SEARCH TARGETS

MICHAEL HART-DAVIS BJÖRN BACKEBERG MOSTAFA BAKHODAY-PASKYABI

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SLIDE 2

1 050

Rescue Operations

1 224

People Rescued

21

Animals Rescued

National Sea Rescue Institute

2017 Rescue Stats

MIKE HART-DAVIS @_LOST_ATSEA_

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SLIDE 3

SEARCH AND RESCUE TECHNIQUES

OLD SCHOOL NEW SCHOOL

Uses prior knowledge

  • f search and rescue

and ocean conditions Relies on:

  • Local Observations
  • Wind Guru
  • Port authorities

Calculations done on a map using pencil and a compass Optimisation of old school techniques:

  • Increase efficiency

and accuracy Particle Trajectory Modelling:

  • Leeway Method
  • OpenDrift
  • LOST at Sea

MIKE HART-DAVIS @_LOST_ATSEA_

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SLIDE 4

PARTICLE TRAJECTORY MODELLING

  • Observations of virtual particles within

fluids

  • Lagrangian ocean analysis
  • OpenDrift Leeway
  • Probably a Really Computationally

Efficient Lagrangian Simulator (PARCELS)

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SLIDE 5

OBJECTIVES OF PARTICLE TRAJECTORY MODELLING

IN SEARCH AND RESCUE APPLICATIONS Operational ocean search and rescue Increased Accuracy and Efficiency of Operations Real-Time Operations

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SLIDE 6

SCIENTIFIC USE CASES

CAPSIZED CATAMARAN

MIKE HART-DAVIS

  • 18th January 2016
  • Southern coast of South Africa
  • Found 5 days later off Cape Agulhas
  • First application of the LOST particle

trajectory model

  • Hart-Davis et al 2018 (a, b)

@_LOST_ATSEA_

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SLIDE 7

MIKE HART-DAVIS

SCIENTIFIC USE CASES

BROKEN GLIDER

  • 1st February 2018
  • Southern Ocean
  • Collected 12 days later by the South

African Research Vessel, the Agulhas 2

  • Done in real time with forecast data
  • Estimation was within 40 meters of

recovery site

@_LOST_ATSEA_

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SLIDE 8
  • Surfing Incident on 7th August 2018
  • Board was lost at Kommetjie, Cape

Town

  • Found 1,600 km away, two weeks

later

  • Used full LOST workflow
  • https://magicseaweed.com

MIKE HART-DAVIS @_LOST_ATSEA_

SCIENTIFIC USE CASES

LOST SURFBOARD

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SLIDE 9

LOST AT SEA

WORKFLOW User Input Data Download Run Simulations Data Analytics

  • Longitudes
  • Latitudes
  • Objects
  • Time
  • Copernicus Surface

Currents

  • ECMWF Windage
  • Parcels
  • Calculate pathways
  • Account

for the Characteristics

  • Trajectory Plot
  • Probability Plot
  • Further

Statistical Analysis

MIKE HART-DAVIS @_LOST_ATSEA_

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SLIDE 10
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SLIDE 11
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SLIDE 12
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SLIDE 13

WORKFLOW OPTIMISATION WITH EGI

DATA ↔ LOST DATA ↔ ANALYSIS

  • BRING DATA AND

LOST TOGETHER

  • STORE AND

EXTRACT DATA

  • RUN LOST TOOL
  • PRODUCE OUTPUT
  • BRING OUTPUT AND

ANALYSIS TOOLS TOGETHER

  • CALCULATE DATA

ANALYTICS

  • PRESENT ANALYTICS

MIKE HART-DAVIS @_LOST_ATSEA_

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SLIDE 14

CONCLUSION

  • Development of global operational search and rescue

tool to provide real-time estimations of objects lost at sea

  • Use the EGI capabilities to optimise the efficiency of

real-time estimations and to reduce bottlenecks

MIKE HART-DAVIS @_LOST_ATSEA_

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SLIDE 15

ANY QUESTIONS?

With thanks:

  • Nelson Mandela University
  • Nansen-Tutu Center
  • South African Earth Observation Network
  • EGI Foundation
  • Nansen Environmental and Remote Sensing Center