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Monitoring Oceans
Chris Atherton, GÉANT
23/05/23
SURF Research Day 2023
By U.S. Navy photo by Photographer's Mate 2nd
Class Philip A. McDaniel - This image was released by the
United States Navy with the ID 050102-N-9593M-040
(next), Public Domain,
https://commons.wikimedia.org/w/index.php?curid=824
1767
By NOAA - http://www.magazine.noaa.gov/stories/images/dart_tsunamicover.jpg, Public Domain,
https://commons.wikimedia.org/w/index.php?curid=24516204
How Tsunamis are monitored and reported
Up-Stream
Measurement, Analysis, Decision
Sensor Systems
- Seismometer
- cGPS
- Tide Gauge
- Bouy System
- Others
Warning Centre
- Processing
- Simulation
- Decision-Support
- Warning Message
Down-Stream
Awareness, Preparedness, Reaction
Local Administration
Local Communities
Dissemination
Time
Earth Quake
/ Event
Lauterjung, J., Letz, H. (Eds.) (2017): 10 Years Indonesian Tsunami Early Warning System:
Experiences, Lessons Learned and Outlook, Potsdam: GFZ German Research Centre for
Geosciences, 68 p.
DOI: http://doi.org/10.2312/GFZ.7.1.2017.001
g = 9.81
d = Depth of water
1000 meters
water depth
= 713 Km/s
4000 meters
water depth
= 198 m/s
Tsunami travel speed map
Map contours: 1-hour
intervals:
Red: 1-4 hour arrival
times
Yellow: 5-6 hour arrival
times
Green: 7-14 hour
arrival times
Blue: 15-21 hour
arrival times
https://www.ngdc.noaa.gov/
hazard/tsu_travel_time_even
ts.shtml
Where are Ocean Tsunami Buoys most effective?
NOAA National Data Buoy Centre: NOAA/NDBC | Esri , GEBCO, IHO-IOC GEBCO, NGS | …
2 x tsunami strikes in 2018
Warning sent but it wasn’t accurate as the tsunami was triggered by a volcano
landslide. The installed tidal gauges weren’t able to distinguish the tsunami
from the high tide and the deep water buoys weren’t monitoring.
By Indonesian National Board for Disaster Management (BNPB) -
https://twitter.com/sutopo_pn/status/1077092955389812736, Public Domain,
https://commons.wikimedia.org/w/index.php?curid=75301355
Map contours: 1-hour
intervals:
Red: 1-4 hour arrival times
Yellow: 5-6 hour arrival times
Green: 7-14 hour arrival
times
Blue: 15-21 hour arrival times
Tsunami’s in Europe
https://www.ngdc.noaa.gov/
hazard/tsu_travel_time_even
ts.shtml
Another societal challenge from lack of
deep ocean observations
Photo by Rob Curran on Unsplash
Global Deep Ocean Temperature
Credit: Imagery processed by the NASA Earth Observations (NEO) team in
collaboration with Gene Feldman and Norman Kuring, NASA OceanColor
Group.
We need more data!
Long term data sets
for:
• Climate modelling
• Weather forecasting
• AI and all that
Photo by Snowscat on Unsplash
What about dedicated infrastructure?
By John Whitehead - Ocean Instruments, Public Domain, https://commons.wikimedia.org/w/index.php?curid=15663716
Expensive to install
Expensive to maintain
Who pays?
Photo by Ibrahim Boran on Unsplash
Who is responsible?
Photo by Frederic Köberl on Unsplash
There have been dedicated cables and
infrastructure installed!
What about Space?
Photo by NASA on Unsplash
This isn’t just a theoretical
problem
Credit: www.submarinecablemap.com
Science Monitoring And Reliable Telecommunications
SMART Cable concept
Howe et al., (2019, August 2). Smart cables for observing the Global Ocean: Science and implementation. SMART Cables for Observing the Global Ocean: Science and
Implementation. Retrieved June 10, 2022, from https://www.frontiersin.org/articles/10.3389/fmars.2019.00424/full
Is there another
way?
Photo by Beth Macdonald on Unsplash
Wet vs Dry Sensing
Dry
Wet
SMART
Dry Optical sensing techniques
Source: M. Cantono et al., Seismic Sensing in Submarine Fiber Cables,
Source: ASN website
Source: Kristina Shizuka Yamase Skarvang
With thanks to Prof Martin Landrø, NTNU
• Whales
• Storms
• Ships
• Earthquakes
• And more
What can DAS detect?
With thanks to Prof Martin Landrø, NTNU
Source: Martin Landrø et al., Sensing whales, storms,
ships
and earthquakes using an Arctic fibre optic cable,
Nature Published: 10 November 2022,
https://www.nature.com/articles/s41598-022-23606-x
Field test 2022: Svalbard
Baleen whale vocalizations detected over the
120 km of the Svalbard underwater distributed
acoustic sensing (DAS) array
Source: Le´ a Bouffaut et al. , Eavesdropping at the Speed of Light: Distributed Acoustic
Sensing of Baleen Whales in the Arctic, Frontiers in Marine Science, July 2022
With thanks to Prof Martin Landrø, NTNU
The other techniques – State of Polarisation (SoP)
DWDM
Optical
Transponder
Fibre optic Submarine telecom cable
Stokes Parameter By Emma Alexander - [1], CC BY 4.0,
https://commons.wikimedia.org/w/index.php?curid=116390426
Stokes Parameter
Carrier phase and polarization can be
recovered from the DSP outputs.
DWDM
Optical
Transponder
Normal telecoms traffic
Stokes Parameter
Using submarine cables in a different way
Fibre Bragg Grating
Credit: UNESCO 2017, Bruce Howe and Kate Panayotou
SOP OTDR
SOP OFDR
FRM-20X-R-EC
1-A-1
SYSTEM
1-4
SYSTEM
5-8
SYSTEM
9-12
SYSTEM
13-16
SYSTEM
17-20
WSS
WSS
LOW GAIN
MPO
MPO
MPO
MPO
MPO
LINE
EXPN / OTDR
IRM-B-ECH1
1-A-1 OSA
SYSTEM
LINE
OSA
EXPN /
OTDR
IRM-B-ECH1
1-A-1
OSA
SYSTEM
LINE
OSA
EXPN /
OTDR
IAM-B-ECH2
1-A-1 OSA
SYSTEM
LINE
OSA
EXPN /
OTDR
RU 1
XT-3300-L
6 Wave ITU
Gr id
RU 1
XT-3300-L 6 Wave ITU
Gr id
RU 1
XT-3300-L
6 Wave ITU
Gr id
~80km G.652 Fiber Spool
C-Band Traffic – Minimum 1 ScH
OSA OSA
FRM-20X-R-EC
1-A-1
SYSTEM
1-4
SYSTEM
5-8
SYSTEM
9-12
SYSTEM
13-16
SYSTEM
17-20
WSS
WSS
LOW GAIN
MPO
MPO
MPO
MPO
MPO
LINE
EXPN / OTDR
IRM-B-ECH1
1-A-1 OSA
SYSTEM
LINE
OSA
EXPN /
OTDR
IRM-B-ECH1
1-A-1
OSA
SYSTEM
LINE
OSA
EXPN /
OTDR
IAM-B-ECH2
1-A-1 OSA
SYSTEM
LINE
OSA
EXPN /
OTDR
FRM-20X-R-EC
1-A-1
SYSTEM
1-4
SYSTEM
5-8
SYSTEM
9-12
SYSTEM
13-16
SYSTEM
17-20
WSS
WSS
HIGH GAIN
MPO
MPO
MPO
MPO
MPO
LINE
EXPN / OTDR
RU 1
XT-3300-L
6 Wave ITU
Gr id
XT-3300-L 6
RU 1
XT-3300-L 6 Wave ITU
Gr id
RU 1
XT-3300-L
6 Wave ITU
Gr id
~80km G.652 Fiber Spool ~80km G.652 Fiber Spool
(Less if need to close span)
C-Band Traffic – Minimum 1 ScH
OSA OSA OSA OSA
1.5 Ghz
Narrow
band filter
Interferometer
Coherent
Transponder
ROADM ROADM
Repeater
Repeater
Submarine cable
Storage/
processing
SoP data
from DSP
Optical phase and polarization changes can be recorded across individual
cable spans (the cable spans between repeaters) based on the frequency
difference between the laser source and repeater units.
C-band
Figure adapted from Marra, G. et al., 2022.
1561 nm
AIM
Investigate utilising existing telecommunication
systems, rather than dedicated submarine fibre,
for monitoring the earth and oceans, without
disrupting telecoms traffic.
Objectives
Define a standardised concept
architecture to integrate sensing
technologies (DAS, SOP, SOP OTDR,
SOP OFDR) into a single telecoms
submarine cable system.
Complement existing infrastructures,
datasets, and SMART cable concepts
by developing a scalable data
dissemination system from the new
instruments to existing research
infrastructures and communities.
Deploy a standardised prototype
research instrument in at least 3
geographically diverse locations.
Scientifically validate and calibrate
the instruments deployed
Produce open, machine readable,
long-term datasets.
Develop the concept in collaboration
with research communities, research
infrastructures, Government
institutions and industry.
Defining training and capacity
building which allows for enhancing
the collection, interpretation,
processing and reuse of the data
generated by the research
instruments
Developing a roadmap and strategy
to implement a sustainable research
instrument and datasets from more
countries
Project length
36 months
Consortium Members
Research Organisations
NRENs
Commercial organisations
SUBMERSE Project concept
Automatic
Streaming
44 |
Field test: Svalbard
• Polarimeter (PM1000, Novoptel) connected to
a live DWDM link
• DAS (OptoDAS, ASN) interrogators connected
to two dedicated fibers in each cable
DAS
DWDM
DWDM
Signal multiplexed with other
communication traffic
Dedicated Fiber
Ny-Ålesund Longyearbyen
DAS
SFP
1542.94 nm
EDFA
Polarimeter
EDFA
Tx
Tx
𝜆1
𝜆2
…
Rx
Rx
𝜆1
𝜆2
…
100 Gbps per 𝜆
250 km
Raman
Pump
125 km 125 km
DAS
Dedicated Fiber
DAS
Earthquake analysis with two DAS interrogators
Two interrogators more fibre length and more
data to analyse. It will gives a more precise
detection of epicentre.(left) Future study will
investigate the localization of depth of
epicentre.
Noise area. Far away
from interrogators
P Wave
S Wave
One interrogator at LYB
Two interrogatora at both
ends of different cables
SOP earthquake detection
DAS Results (M2.70 Earthquake)
Longyearbyen Ny-Ålesund
Earthquake: M2.70
NORSAR
seismometer
Extract the timing the seismic waves hits
the cable from DAS data
-50
-60
-70
-80
-90
SOP variation corresponds with the timing of the Earthquake
hitting the cable
Source: Kristina Shizuka Yamase Skarvang et al., Observation of Local Small
Magnitude Earthquakes using State Of Polarization Monitoring in a 250km
Passive Arctic Submarine Communication Cable, OFC 2023
Coexistence of DWDM and DAS have been tested with four main scenarios
• co-propagating without Raman
• co-propagating with Raman
• counter-propagating without Raman
• counter-propagating with Raman
Coexistence of DWDM and DAS
DAS with different operational power range have been tested with running
DWDM channels with a variety of modulation format, Symbol rate and
bitrate
Credit: www.submarinecablemap.com
www.submerse.eu
Thank you
Any questions

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Monitoring Oceans - Chris Atherton - SRD23

  • 1. www.submerse.eu Monitoring Oceans Chris Atherton, GÉANT 23/05/23 SURF Research Day 2023
  • 2.
  • 3. By U.S. Navy photo by Photographer's Mate 2nd Class Philip A. McDaniel - This image was released by the United States Navy with the ID 050102-N-9593M-040 (next), Public Domain, https://commons.wikimedia.org/w/index.php?curid=824 1767
  • 4. By NOAA - http://www.magazine.noaa.gov/stories/images/dart_tsunamicover.jpg, Public Domain, https://commons.wikimedia.org/w/index.php?curid=24516204
  • 5. How Tsunamis are monitored and reported Up-Stream Measurement, Analysis, Decision Sensor Systems - Seismometer - cGPS - Tide Gauge - Bouy System - Others Warning Centre - Processing - Simulation - Decision-Support - Warning Message Down-Stream Awareness, Preparedness, Reaction Local Administration Local Communities Dissemination Time Earth Quake / Event Lauterjung, J., Letz, H. (Eds.) (2017): 10 Years Indonesian Tsunami Early Warning System: Experiences, Lessons Learned and Outlook, Potsdam: GFZ German Research Centre for Geosciences, 68 p. DOI: http://doi.org/10.2312/GFZ.7.1.2017.001
  • 6. g = 9.81 d = Depth of water 1000 meters water depth = 713 Km/s 4000 meters water depth = 198 m/s
  • 7. Tsunami travel speed map Map contours: 1-hour intervals: Red: 1-4 hour arrival times Yellow: 5-6 hour arrival times Green: 7-14 hour arrival times Blue: 15-21 hour arrival times https://www.ngdc.noaa.gov/ hazard/tsu_travel_time_even ts.shtml
  • 8. Where are Ocean Tsunami Buoys most effective? NOAA National Data Buoy Centre: NOAA/NDBC | Esri , GEBCO, IHO-IOC GEBCO, NGS | …
  • 9. 2 x tsunami strikes in 2018 Warning sent but it wasn’t accurate as the tsunami was triggered by a volcano landslide. The installed tidal gauges weren’t able to distinguish the tsunami from the high tide and the deep water buoys weren’t monitoring. By Indonesian National Board for Disaster Management (BNPB) - https://twitter.com/sutopo_pn/status/1077092955389812736, Public Domain, https://commons.wikimedia.org/w/index.php?curid=75301355
  • 10. Map contours: 1-hour intervals: Red: 1-4 hour arrival times Yellow: 5-6 hour arrival times Green: 7-14 hour arrival times Blue: 15-21 hour arrival times Tsunami’s in Europe https://www.ngdc.noaa.gov/ hazard/tsu_travel_time_even ts.shtml
  • 11. Another societal challenge from lack of deep ocean observations Photo by Rob Curran on Unsplash
  • 12. Global Deep Ocean Temperature Credit: Imagery processed by the NASA Earth Observations (NEO) team in collaboration with Gene Feldman and Norman Kuring, NASA OceanColor Group.
  • 13. We need more data! Long term data sets for: • Climate modelling • Weather forecasting • AI and all that Photo by Snowscat on Unsplash
  • 14. What about dedicated infrastructure? By John Whitehead - Ocean Instruments, Public Domain, https://commons.wikimedia.org/w/index.php?curid=15663716
  • 17. Who pays? Photo by Ibrahim Boran on Unsplash
  • 18. Who is responsible? Photo by Frederic Köberl on Unsplash
  • 19. There have been dedicated cables and infrastructure installed!
  • 20. What about Space? Photo by NASA on Unsplash
  • 21. This isn’t just a theoretical problem
  • 23. Science Monitoring And Reliable Telecommunications
  • 24. SMART Cable concept Howe et al., (2019, August 2). Smart cables for observing the Global Ocean: Science and implementation. SMART Cables for Observing the Global Ocean: Science and Implementation. Retrieved June 10, 2022, from https://www.frontiersin.org/articles/10.3389/fmars.2019.00424/full
  • 25. Is there another way? Photo by Beth Macdonald on Unsplash
  • 26. Wet vs Dry Sensing Dry Wet SMART
  • 27. Dry Optical sensing techniques Source: M. Cantono et al., Seismic Sensing in Submarine Fiber Cables, Source: ASN website Source: Kristina Shizuka Yamase Skarvang
  • 28. With thanks to Prof Martin Landrø, NTNU • Whales • Storms • Ships • Earthquakes • And more What can DAS detect?
  • 29. With thanks to Prof Martin Landrø, NTNU
  • 30. Source: Martin Landrø et al., Sensing whales, storms, ships and earthquakes using an Arctic fibre optic cable, Nature Published: 10 November 2022, https://www.nature.com/articles/s41598-022-23606-x Field test 2022: Svalbard
  • 31. Baleen whale vocalizations detected over the 120 km of the Svalbard underwater distributed acoustic sensing (DAS) array Source: Le´ a Bouffaut et al. , Eavesdropping at the Speed of Light: Distributed Acoustic Sensing of Baleen Whales in the Arctic, Frontiers in Marine Science, July 2022
  • 32. With thanks to Prof Martin Landrø, NTNU
  • 33.
  • 34. The other techniques – State of Polarisation (SoP) DWDM Optical Transponder Fibre optic Submarine telecom cable Stokes Parameter By Emma Alexander - [1], CC BY 4.0, https://commons.wikimedia.org/w/index.php?curid=116390426 Stokes Parameter Carrier phase and polarization can be recovered from the DSP outputs. DWDM Optical Transponder Normal telecoms traffic Stokes Parameter
  • 35. Using submarine cables in a different way Fibre Bragg Grating Credit: UNESCO 2017, Bruce Howe and Kate Panayotou
  • 37. SOP OFDR FRM-20X-R-EC 1-A-1 SYSTEM 1-4 SYSTEM 5-8 SYSTEM 9-12 SYSTEM 13-16 SYSTEM 17-20 WSS WSS LOW GAIN MPO MPO MPO MPO MPO LINE EXPN / OTDR IRM-B-ECH1 1-A-1 OSA SYSTEM LINE OSA EXPN / OTDR IRM-B-ECH1 1-A-1 OSA SYSTEM LINE OSA EXPN / OTDR IAM-B-ECH2 1-A-1 OSA SYSTEM LINE OSA EXPN / OTDR RU 1 XT-3300-L 6 Wave ITU Gr id RU 1 XT-3300-L 6 Wave ITU Gr id RU 1 XT-3300-L 6 Wave ITU Gr id ~80km G.652 Fiber Spool C-Band Traffic – Minimum 1 ScH OSA OSA FRM-20X-R-EC 1-A-1 SYSTEM 1-4 SYSTEM 5-8 SYSTEM 9-12 SYSTEM 13-16 SYSTEM 17-20 WSS WSS LOW GAIN MPO MPO MPO MPO MPO LINE EXPN / OTDR IRM-B-ECH1 1-A-1 OSA SYSTEM LINE OSA EXPN / OTDR IRM-B-ECH1 1-A-1 OSA SYSTEM LINE OSA EXPN / OTDR IAM-B-ECH2 1-A-1 OSA SYSTEM LINE OSA EXPN / OTDR FRM-20X-R-EC 1-A-1 SYSTEM 1-4 SYSTEM 5-8 SYSTEM 9-12 SYSTEM 13-16 SYSTEM 17-20 WSS WSS HIGH GAIN MPO MPO MPO MPO MPO LINE EXPN / OTDR RU 1 XT-3300-L 6 Wave ITU Gr id XT-3300-L 6 RU 1 XT-3300-L 6 Wave ITU Gr id RU 1 XT-3300-L 6 Wave ITU Gr id ~80km G.652 Fiber Spool ~80km G.652 Fiber Spool (Less if need to close span) C-Band Traffic – Minimum 1 ScH OSA OSA OSA OSA 1.5 Ghz Narrow band filter Interferometer Coherent Transponder ROADM ROADM Repeater Repeater Submarine cable Storage/ processing SoP data from DSP Optical phase and polarization changes can be recorded across individual cable spans (the cable spans between repeaters) based on the frequency difference between the laser source and repeater units. C-band Figure adapted from Marra, G. et al., 2022. 1561 nm
  • 38.
  • 39. AIM Investigate utilising existing telecommunication systems, rather than dedicated submarine fibre, for monitoring the earth and oceans, without disrupting telecoms traffic.
  • 40. Objectives Define a standardised concept architecture to integrate sensing technologies (DAS, SOP, SOP OTDR, SOP OFDR) into a single telecoms submarine cable system. Complement existing infrastructures, datasets, and SMART cable concepts by developing a scalable data dissemination system from the new instruments to existing research infrastructures and communities. Deploy a standardised prototype research instrument in at least 3 geographically diverse locations. Scientifically validate and calibrate the instruments deployed Produce open, machine readable, long-term datasets. Develop the concept in collaboration with research communities, research infrastructures, Government institutions and industry. Defining training and capacity building which allows for enhancing the collection, interpretation, processing and reuse of the data generated by the research instruments Developing a roadmap and strategy to implement a sustainable research instrument and datasets from more countries
  • 44. 44 |
  • 45. Field test: Svalbard • Polarimeter (PM1000, Novoptel) connected to a live DWDM link • DAS (OptoDAS, ASN) interrogators connected to two dedicated fibers in each cable DAS DWDM DWDM Signal multiplexed with other communication traffic Dedicated Fiber Ny-Ålesund Longyearbyen DAS SFP 1542.94 nm EDFA Polarimeter EDFA Tx Tx 𝜆1 𝜆2 … Rx Rx 𝜆1 𝜆2 … 100 Gbps per 𝜆 250 km Raman Pump 125 km 125 km DAS Dedicated Fiber DAS
  • 46. Earthquake analysis with two DAS interrogators Two interrogators more fibre length and more data to analyse. It will gives a more precise detection of epicentre.(left) Future study will investigate the localization of depth of epicentre. Noise area. Far away from interrogators P Wave S Wave One interrogator at LYB Two interrogatora at both ends of different cables
  • 47. SOP earthquake detection DAS Results (M2.70 Earthquake) Longyearbyen Ny-Ålesund Earthquake: M2.70 NORSAR seismometer Extract the timing the seismic waves hits the cable from DAS data -50 -60 -70 -80 -90 SOP variation corresponds with the timing of the Earthquake hitting the cable Source: Kristina Shizuka Yamase Skarvang et al., Observation of Local Small Magnitude Earthquakes using State Of Polarization Monitoring in a 250km Passive Arctic Submarine Communication Cable, OFC 2023
  • 48. Coexistence of DWDM and DAS have been tested with four main scenarios • co-propagating without Raman • co-propagating with Raman • counter-propagating without Raman • counter-propagating with Raman Coexistence of DWDM and DAS DAS with different operational power range have been tested with running DWDM channels with a variety of modulation format, Symbol rate and bitrate