Martin Hammitzsch, Johannes Spazier, Sven Reißland

Transcription

1 Martin Hammitzsch, Johannes Spazier, Sven Reißland Tsunami Decision Support Systems 2015 TDSS 2015, 2-3 July 2015, Ispra, Italy

2 History & Concept

3 History of TRIDEC Cloud transfer DEWS TRIDEC 2014 TRIDEC Cloud X GITEWS Failed to transfer system for operational purposes complex technology, no scaling and no business-fit approach Based on the experiences and the knowledge gained in three research projects no technology or other results re-used New technologies are exploited to survive in times of cloud computing and ubiquitous computing to use state of the art technology concepts and paradigms to implement a platform in a collaborative and distributed environment to supply an operational system for early warning and fast response to support a business-fit business model

4 The Cloud demystified

5

6 Cloud concept Cloud computing, often referred to as simply the cloud, is accessible over a network connection, usually this is the Internet is everything from applications to data centers to store data in a remote data center run applications / software not installed on your workstation use services utilize platforms access network infrastructure computing resources, data storage relies on sharing a pool of physical and/or virtual resources, rather than deploying local or personal hardware and software is the delivery of on-demand computing resources is based on elastic resources which scale up or down quickly and easily to meet demand is available on a pay-for-use basis or for free is accessed with defined interfaces, protocols, and web browser functionality is mainly accessed with a local web browser or smartphone app

7 It started with a single all-in-one server

8 to become a GPU Cloud

9 and then a real Cloud

10 that is deployed at a single place

11 that scales Geolocation-aware DNS

12 that ensures failover DNS round robin

13 that supports private and hybrid clouds

14 TRIDEC Cloud Use of new technologies in times of cloud computing and ubiquitous computing Opening up new prospects for early warning, mitigation, and fast response in case of natural hazards Combination of several complementary cloud-based services merged into one platform for Web-mapping of hazard specific geospatial data, Computation with Graphics Processing Units (GPUs) Processing, sharing, and communicating threat specific information Collaborating in a distributed environment Monitoring of real events and training of virtual scenarios 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 Global Coverage, applicable for any region in the world

15 Features

16 Earthquake events Integration of latest earthquake information from GEOFON Integration of other national and international systems Display of earthquake events with information on Magnitude, location, time, Dip, strike, rake, Classification based on decision matrix, Prediction based on attached simulation either computed automatically or manually with modified parameters Mapping of locations

17 Sea level measurements Integration of historic and real- time sea level data from UNESCO-IOC 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 Diagrams display the measurements for each sea level station Show the real-time data for the stations in monitoring mode Display historic and latest sea level data for selected events Display additionally the predicted sea level data if a simulation for an event has been computed either automatically or manually Enable comparison of real data with simulation data for sea level stations Interactive diagrams for detailed analysis and picking Picking of period and amplitude Integration in warning messages

18 Earthquake events and sea levels stations

19 Simulation Forecasts for potential propagation of a tsunami Computation using graphics processing units (GPU) in the Cloud triggered manually and automatically Instant tsunami propagation calculations based on actual source parameters tsunami travel times (TTT) and estimated times of arrivals (ETA) Wave jets and estimated wave heights (EWH/SSH), mareograms Visualization of isochrones and tsunami-jets Analysis of time series Processing of tsunami forecast points (TFP) and tsunami forecast zones (CFZ) for further use, e.g. for generating warning messages

20 Analysis and warning messages Generation of warning messages with static and dynamic information Static content follow internationally agreed message format Information, Watch, Advisory: initial und ongoing Tsunami End Tsunami Cancellation Dynamic content provided by simulation computation and analysis Review, modification, and addressing of generated messages Dissemination via Fax FTP/GTS SMS Cloud Messages Shared Maps

21 Cloud Messages Complementary to , fax, FTP/GTS, and SMS Sent internally to other users of the TRIDEC Cloud platform 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

22 Shared Maps Maps and related data are shared with others by using URL addresses Either to a list of closed recipients via , Or to the public via twitter, Google Plus, and Facebook Recipients open the web address in a web browser and interact immediately with the Shared Map Works even if the recipient is not a TRIDEC Cloud user If the recipient has a TRIDEC Cloud account then shared maps can be copied into the recipient's user account Interact and work with shared maps as with any other events Modify and reprocess the shared map with changed parameters or use it for individual warning message dissemination

23 Timeline Tracing of information, activities, and sequences related to an event Earthquake events with first information and follow-up refinements Simulations automatically or manually processed for earthquake event updates Warning messages sent

24 Notifications Immediate delivery of automatically generated notifications Get instant notifications for specific events via short messages and Keep track of important changes, e.g. when moment tensor solutions are available or when automatic simulation computations finished processing Save valuable time to be responsive, even if you are on the go Receive relevant and critical information automatically generated within minutes, notifications include Result of an automatically started simulation computation if all relevant parameters for a simulation computation are available and classified as critical URL address referring to an automatically created interactive shared map displaying the computed simulation result Preliminary warning message with classification and information on tsunami forecast points for the NEAM region and information on coastal forecast zones for the IO region

25 Reports Download, send, and print PDF-based reports Contain warning messages with event data Depict location map with simulation data Refer to shared map Integrate any other information required

26 Additional data and detailed information Background information on the classification criteria of earthquake events Detailed earthquake event data from the primary event source Additional earthquake event data from other sources around the world

27 API Data out, data in, and instruct Simple interface (API) Take data out from TRIDEC Cloud Access event data and simulation computation result Embed maps and messages at other places Integrate for further use in any other system Get and embed data automatically Feed data into TRIDEC Cloud Integrate latest earthquake event data Integrate historic earthquake catalogues Integrate latest and historic sea level measurements Compute with TRIDEC Cloud Instruct instant simulation computations

28 Monitoring and Training Monitoring mode Provides important functionality required to act in a real event Integrates historic and real- time sea level data from UNESCO-IOC Sea Level Monitoring and latest earthquake information from GEOFON Integrates other systems and data via API Exercise and Training mode Corresponds to Monitoring mode but is not connected to real data and systems Enables education and training as well as national and international exercises Operators and others stakeholders are able to train skills and prepare for real events Integrates Virtual Scenario Player

29 Virtual Scenario Player Enables training and exercises with virtual scenarios For training purposes virtual scenarios are playable with an acceleration to run prepared scenarios faster than in reality Selected scenarios are already available for specific regions in the world New scenarios might be added at any time for Internal training, e.g. weekly, or Extended monthly communication tests, e.g. monthly

30 Exercise Runs in the fringe of NEAMWave14 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

31 Outlook

32 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

33 Cloud-based services SaaS Software as a Service Use TRIDEC Cloud platform with a standard web browser from any working place in the world without additional installations Use customized packages with functionality and tools required by different target groups Use dedicated and customized installation / deployment of the TRIDEC Cloud platform at own premises (private cloud), e.g. in a protected or closed network PaaS Platform as a Service Implement and run custom algorithms on the TRIDEC Cloud platform to use GPU computation resources to use central functionality for early warning and rapid response Integrate other systems to enrich platform with other data relevant for early warning and rapid response to provide access to this data for other users to use existing functionality with additional data IaaS Infrastructure as a Service Virtual Private Cloud