TRIDEC Cloud & GeoPeril

In times of cloud computing and ubiquitous computing the use of state of the art technology concepts and paradigms have to be considered even for early warning and fast response systems. Based on the experiences and the knowledge gained in three research projects new technologies are exploited to implement a cloudbased and web-based platform to open up new prospects for tsunami early warning and mitigation systems (TEWS).

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.

GeoPeril is the framework of TRIDEC Cloud. This implementation of an early warning system for tsunamis includes, among other things, the harvesting of earthquake events from catalogs or APIs, the automatic execution of simulations for events with given thresholds, remote execution of simulations with EasyWave or HySEA and the modifying of earthquake parameters or creating fictional earthquakes to simulate a scenario.

User group

The platform is meant for researchers and authorities 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.

Features

  • Global coverage, and applicable for any region in the world
  • Workflow implemented following operators’ or users’ needs, even in stressful situation
  • Integrated threat management & tracing of information, activities, and sequences related to an event
  • Integration of different observational networks and services
  • Integration of different computation engines, i.e. simulation software and hardware (CPU, GPU)
  • Provision of different input data for computations, e.g. different resolutions
  • Generation of pre-defined, internationally agreed messages with dynamic content provided by observations and computations
  • Dissemination via E-mail, Fax, FTP/GTS, SMS, Cloud Messages, Shared Maps

In monitoring mode a list displays earthquake events with information on magnitude, location, time, and depth, as well as dip, strike, and rake. An earthquake classification is provided based on a simplified decision matrix and a tsunami prediction is available for critically classified earthquakes based on an attached simulation either computed automatically or manually in the background. Information on earthquakes is complemented by historic and real-time sea level data. The map displays the position of the sea level stations and small diagrams below the map display the measurements for each sea level station.

Interactive diagrams allow a detailed analysis and picking of values that are available for automated integration in warning messages. The generation of warning messages is based on internationally agreed message structures and includes static and dynamic information based on earthquake information, instant computations of tsunami simulations, and actual measurements. Generated messages are served for review, modification, and addressing in one simple form for dissemination.

The exercise and training mode enables training and exercises with virtual scenarios. This mode disconnects real world systems and connects with a virtual environment that receives virtual earthquake information and virtual sea level data re-played by a scenario player. The exercise and training mode has been used in an opportunity provided by the international NEAMWave14 tsunami exercise to test the TRIDEC Cloud as a collaborative activity based on previous partnerships and commitments at the European scale (Hammitzsch et al. 2014). For the

NEAMWave21 exercise the modelling of the KOERI-NOA scenario had been done by KOERI through the easyWave tsunami modelling tool embedded in the TRIDEC Cloud. During the conduct of the NEAMWave21 exercise, TRIDEC Cloud was also utilized by KOERI for the real-time simulation of the sea-level readings.

The TRIDEC Cloud is used in the 'exercise mode' exemplary with the Portuguese NEAMWave14 scenario (without sound):

 

Contact


Martin Hammitzsch
Head
Martin Hammitzsch
eScience Centre
Telegrafenberg
Building A 70, Room 318
14473 Potsdam
+49 331 288-1717
Profile

Additional Information

Get started:

Website TRIDEC Cloud

GitHub GeoPeril

Licence:

GeoPeril: Apache-2.0

TRIDEC Cloud: SaaS on-request

Release:

GeoPeril: Version 1.21 Nov 2020

TRIDEC Cloud: Version 2.0 Mar 2021

Programming language:

Python, JavaScript/TypeScript

Keywords:

#tsunami #early warning #simulation system #scenario computation #impact analysis #GPU #SaaS #virtual scenorio training

DOI:

tba

Main contributing organisations:

Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences

Funding:

in-house, Helmholtz Enterprise