In times of cloud computing and ubiquitous computing the use of concepts and paradigms, introduced by continuously evolving approaches in information and communications technology (ICT), have to be considered even for early warning and mitigation systems . Based on the experiences and the knowledge gained in three research projects new technologies are exploited to implement a cloud-based and web-based platform to open up new prospects for monitorin, analysis, and early warning. The platform, named 'TRIDEC Cloud', merges several complementary external and in-house cloud-based services into one platform for automated background computation with graphics processing units (GPU), for web-mapping of hazard specific geospatial data, and for serving relevant functionality to handle, share, and communicate threat specific information in a collaborative and distributed environment. The platform is meant for researchers around the world to make use of cloud-based GPU computation, to analyze tsunamigenic events, and react upon the computed situation picture with a web-based GUI in a web browser at remote sites.

1. Web-based, GPU-accelerated, Geospatial Platform for
Real-time Monitoring, High-performance Analysis, and Early Warning
- Tsunami Showcase -
Spring 2015
martin.hammitzsch@gfz-potsdam.de

2. TRIDEC Cloud
• Cloud-based and web-based platform to open up new prospects
for Tsunami Early Warning and Mitigation Systems
• Combination of several complementary cloud-based services
merged into one platform for
– Web-mapping of hazard specific geospatial data,
– Handling, sharing, and communicating threat specific information
– Collaborating in a distributed environment
• Modern web-based Graphical User Interface
– Operators in warning centers and stakeholders of other involved parties (e.g. CPAs,
ministries) just need a standard web browser

3. Features

4. TRIDEC Cloud – Earthquake Information
• Integrates latest earthquake information from http://geofon.gfz-
potsdam.de
• Simple REST API enables integration of other national and
international systems
• List displays earthquake events with information on
– Magnitude, location, time,
– Dip, strike, rake,
– Classification based on simplified decision matrix,
– Prediction based on attached simulation either computed automatically or manually in
the background
• Map displays location of earthquake events
• http://youtu.be/C56L4qj9aRA

5. TRIDEC Cloud – Sea Level Measurements
• Integrates historic and real- time sea level data from http://ioc-
sealevelmonitoring.org
• Simple REST API enables integration of other sea level stations and
systems
• Users select the sea level stations based on their needs
• Map displays position of the sea level stations
• Small diagrams below the map display the measurements for sea
level each station
– In default mode diagrams show the real-time data for the stations
– For events selected by the user diagrams display the relevant sea level data for the selected
event
– If a simulation for an event has been computed either automatically or manually diagrams
display additionally the predicted sea level data
– Comparison of real data with simulation data for sea level stations
• Interactive diagrams for a detailed analysis and picking
– Select and open with a click on a small diagram
– Sliders for picking period and amplitude values or form to configure values manually
– Picked values in the interactive diagram can be enabled for integration in warning
• http://youtu.be/C56L4qj9aRA

6. TRIDEC Cloud – Simulation Computation
• On-demand tsunami predictions based on actual source
parameters
• Manual and automated background computation using graphics
processing units (GPU) for instant tsunami propagation
calculations
• On-demand tsunami simulations are computed for an event
either automatically or manually by a GPU Cloud
– With tsunami travel times (TTT), estimated times of arrivals (ETA), estimated wave
heights (EWH/SSH), and mareograms
– For visualization purposes with isochrones and tsunami-jets on a map
– For visualization and analysis with time series in diagrams
– For further analysis and processing purposes with tsunami forecast points (TFP) and
tsunami forecast zones (CFZ) important for generating warning messages

7. TRIDEC Cloud – Virtual Scenario Player
• Enables training and exercises with virtual scenarios
• With special accounts operators and others involved are able to
train skills and to prepare for large exercises and real events
• For training purposes virtual scenarios are playable with an
acceleration to run prepared scenarios faster than in reality
• Selected scenarios in NEAM region and other regions in the
world are already available
• New scenarios might be added for
– Internal training, e.g. weekly, or
– Extended monthly communication tests
• http://youtu.be/CaRXYR4PE8s

8. TRIDEC Cloud – Timeline
• Tracing of information and activities related to an initial event
sorted by time
– Earthquake events with first information and follow-up refinements
– Simulations automatically or manually processed for earthquake event updates
– Warning messages sent
• http://youtu.be/Q5Znr61qUEw

9. TRIDEC Cloud – Message Dissemination
• Generation of warning messages with static and dynamic
information based on instant computation of a tsunami simulation
• Review, modification, and addressing of generated messages in one
form
• Dissemination via
– E-mail
– Fax
– FTP (and thus GTS)
– SMS
– Cloud Messages
– Shared Maps
• Messages follow the format defined by ICG/NEAMTWS (initial and
ongoing information-watch-advisory messages and messages for
tsunami end or cancellation)
• http://youtu.be/ByVpGh40Tqg (mail),
http://youtu.be/pGLyoQ5M6HA (fax), and
http://youtu.be/bEIq3HY4gI8 (FTP/GTS and SMS)

10. TRIDEC Cloud – Cloud Messages
• Cloud messages are sent internally within the TRIDEC Cloud to
other users
• Complementary to e-mail, fax, FTP/GTS, and SMS
• Contain text information and integrate interactive and dynamic
event data and simulation data
• Recipients are enabled to interact dynamically with the map and
diagrams beyond traditional text information
• http://youtu.be/l8XJpql_tLM

11. TRIDEC Cloud – Shared Maps
• Maps and related data are shared with others by using URL
addresses
– Either to a list of closed recipients via e-mail,
– Or to the public via twitter, Google Plus, and Facebook
• Recipients open the web address of the map in a web browser
and interact immediately with the map
• Works even if the recipient is not a TRIDEC Cloud user
• If the recipient is a TRIDEC Cloud shared maps can be copied
into the recipient's user account
– Users are enabled to fully interact with shared maps as they know it from own events
– Modify and reprocess the shared map or use it for warning message dissemination
• http://youtu.be/3QhxC0PBTkg

12. TRIDEC Cloud – Monitoring and Training
• Monitoring mode
– Provides important functionality required to act in a real event (see above)
– Integrates historic and real- time sea level data from http://ioc-sealevelmonitoring.org
and latest earthquake information from http://geofon.gfz-potsdam.de
– Simple REST API enables integration of other systems
• Exercise and Training mode
– Enables training and exercises with virtual scenarios
– Integrates Virtual Scenario Player
– Corresponds to Monitoring mode
– Operators and others involved are able to train skills and prepare for large exercises
and real events

13. Exercise Runs
in the Fringe of NEAMWave14
http://ioc-unesco.org/index.php?option=com_oe&task=viewDocumentRecord&docID=14357

14. Background
• Opportunity provided by NEAMWave14 to test the TRIDEC Cloud
• Collaborative activity based on previous partnership and
commitments at the European scale
– GFZ German Research Centre for Geosciences (GFZ)
– Kandilli Observatory and Earthquake Research Institute (KOERI)
– Portuguese Institute for the Sea and Atmosphere (IPMA)
• Not officially involved in Part B of the Turkish, Portuguese, and
Greek NEAMWave14 scenarios
• Official scenarios have been used by GFZ, KOERI, and IPMA for
testing with extended and modified versions in exercise runs in
the fringe of NEAMWave14 on
– Monday, October 27, 2014 (14:30-17:30 UTC) with the Turkish scenario
– Tuesday, October 28, 2014 (8:00-12:00 UTC) with the Portuguese scenario
• Official scenario has been used by GFZ only on
– Wednesday, October 29, 2014 (13:00-16:00 UTC) with Greek scenario

15. KOERI scenario: Oct. 27, 14:30-17:30 UTC

16. KOERI scenario: Oct. 27, 14:30-17:30 UTC
• TRIDEC Cloud operated by GFZ staff
• Messages sent to restricted group of recipients incl. KOERI,
IPMA, and GFZ via E-mail, Fax, FTP (no GTS), SMS, Cloud
Messages, Shared Maps
• Issues identified (have been fixed after exercise run)
– Operator missed manual analysis and editing of ETA for measurements
– Cloud messages 001 and 002 have not been send to the cloud account of one recipient
due to the usage of a wrong username / mail address – fixed directly by the operator
for cloud messages 003-005
– Message content for ongoing, and end messages included text intended for first
messages
– Sorting of TFP list not implemented properly

17. KOERI scenario – modified MSEL

18. KOERI scenario – overview and analysis

19. IPMA scenario: Oct. 28, 8:00-12:00 UTC

20. IPMA scenario: Oct. 28, 8:00-12:00 UTC
• TRIDEC Cloud operated by GFZ staff
• Messages sent to restricted group of recipients incl. IPMA,
KOERI, and GFZ via E-mail, Fax, FTP (no GTS), SMS, Cloud
Messages, Shared Maps
• Issues identified (have been fixed after exercise run)
– Sorting of TFP list not implemented properly

21. IPMA scenario cont’d – modified MSEL

22. IPMA scenario – overview and analysis

23. NOA scenario: Oct. 29, 13:00-16:00 UTC

24. NOA scenario: Oct. 29, 13:00-16:00 UTC
• TRIDEC Cloud operated by GFZ staff
• Messages sent to restricted group of GFZ recipients via E-mail,
Fax, FTP (no GTS), SMS, Cloud Messages, Shared Maps
• So far, no issues identified

25. NOA scenario cont’d – modified MSEL

26. NOA scenario – overview and analysis
• Involvement of GFZ only, without any other participating site
– Messages have been delivered within GFZ network timely and thus
– Analysis of the performance is skipped

27. Outlook

28. Activities and future prospects
• Activities
– Support institutional tasks and responsibilities
– Contribute to future projects
– Enable collaboration across domains
– Supply commercial services
• Areas
– Monitoring, analysis, and early warning for
• Natural hazards such as tsunami, earthquakes volcanic activities,
cyclones, flash floods, floods, …
• Spread of pollutants, smog and carbon oxides
• …
– Analysis of disaster risk, exposure, vulnerability, and resilience
– Scientific Computing in Research Infrastructures and Virtual Research Environments