the lake ponchatrain forecast systemestrabd/lpfs/distributed-lpfs.pdf · 2006. 11. 22. · • a...

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The Lake Pontchartrain Forecasting System Brett D. Estrade

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  • The Lake Pontchartrain Forecasting System

    Brett D. Estrade

  • Credits

    • Center for Computation and Technology at LSU

    – Shree Balasubramanian

    – Archit Kulshrestha

    – Prathyusha Akunuri

    – Ian Kelley

    – Chirag Dekate

    – Jon MacLaren

    – Gabrielle Allen

    – Ed Seidel

    • Louisiana Optical Network Initiative (LONI)

    – Charlie McMahon

    – Brian Ropers-Huilman

    – LONI HPC Ops Staff

    • Institute of Marine Sciences at UNC

    – Jason Fleming

    – Crystal Fulcher

    – Rick Luettich

  • • A collaboration of CCT, UNC, and the US Army Corp of Engineers (USACE) in New Orleans

    • Is a system used by USACE to help determine storm surge at 3 New Orleans' drainage canals– 17th Street Canal (-90.12566 29.98837)

    – Orleans Ave. Canal (-90.10094 29.99637)

    – London Ave. Canal (-90.06807 29.98851)

    • Produces a forecast of what the storm surge will be at the heads of 3 canals given an NHC consensus track forecast and 4 variations of it

    LPFS ...

  • A View of the Canalscompliments of CCT's Viz Group

    N

  • The USACE's Dilemma• 3 major canals used to rid the

    city of water during heavy rains will back up and provide a conduit for lake water to flow into the city during tropical events as evidenced by Katrina

    • The current solution to close the canals during a tropical event requires a 6 hour effort and the use of tall cranes, which are by affected high winds

    • Gating the canals reduces each canal's effectiveness by a great amount because it requires the use of pumps to move the water out

    • A timely decision must be made wrt high winds and a reduction in ability to rid the city of rain water

    wwltv.com's “17th Street Canal” Online Cam

  • How Does LPFS Help?

    • LPFS provides easy to read graphs for each of the 3 locations showing for each of the 5 tracks:– Storm surge (i.e., elevation above sea level)– Wind speeds

    • Due to the availability of dedicated LONI resources

    during high and severe alerts, results are provided in a timely manner – within 2 hours of an NHC track forecast

  • LPFS Input – Hurricane Tracks

    1.NHC Consensus2.20% Faster Winds3.20% Slower Winds4.Veer Right of Cone5.Veer Left of Cone

    Picture of local news coverage at approximately the same time as the consensus track to the left

  • LONI Resources

  • LPFS System Overview

    • LPFS is a distributed ensemble of 5 parallel ADCIRC simulations running on the Louisiana Optical Network Initiative's (LONI) state wide resources

    • LPFS may run in a continuous way for the duration of a particular storm once it is initiated

    • The status of the LPFS simulations are tracked in real time via a web portal interface

    • Automated alerts are sent out at key points in the process and during specified events via various means – email, sms, and instant messenger

    • Distributed LPFS is implemented such that no components need to reside on the same machine; additionally, redundant components could easily be used to arbitrarily increase the fault tolerance of the system. This allows us to determine the reliability of this system with some confidence.

  • ADCIRC – Storm Surge

    • A finite element coastal ocean model

    • Uses Generalized Wave Continuity Equation (GWCE) to solve for elevations about the geode (sea level)

    • Uses Momentum Equation to solve for the u and v components of current velocities

    • Uses Continuous Galerkin Finite Element Methods (node based)

    • Single Program Multiple Data (SPMD) & uses MPI; scaling is linear up to some point where communication overhead dominates (~3-5000 nodes/cpu)

    • Domain and input data decomposed prior to program execution

    ADCIRC Website:

    http://www.adcirc.org

  • LPFS General Work Flow

  • LPFS Distributed Implementation

  • LPFS Components

    • ADCIRC

    • Ensemble track generation

    • Resource allocation and simulation distribution utilities

    • Storm track analysis tools and automatic alert assessment

    • A daemon that monitors the status of the simulations

    • Portal interface to manage alerts, track the status of each running simulation, and distribute simulation results and product

  • A General LPFS Scenario

    • A tropical event is detected well outside of New Orleans; an LPFS admin sets the current alert level from Green to Yellow via a portal interface;

    – Alerts go out via email, instant messenger, and SMS to all personnel

    – LPFS admins coordinate LONI resources and begin preparing to activate the LPFS system.

    • NHC forecast places the track of the hurricane within 540 nm of New Orleans , and the current alert level is set from Yellow to Orange automatically

    – Alerts go out via email, instant messenger, and SMS to all personnel

    – LPFS admins begin running the system regularly for each new NHC advisory using LONI resources under the PRIORITY queue;

    – USACE personnel are notified of new storm surge forecasts via E/IM/SMS within 2 hours of each NHC advisory

    • NHC forecast places the tracks of the hurricane with 270 nm of New Orleans,and the current alert level is set from Orange to Red automatically

    – Alerts go out via E/IM/SMS to all personnel

    – LPFS now utilizes LONI resources in a preemptive, dedicated mode (checkpt'd jobs are killed)

    – USACE personnel are notified of results as they are readied

  • LPFS Alerts and Notifications

    • The color coded alert system indicates various states of readiness and resource allocation on LONI resources

    • Green

    – Low threat from storm. System in green alert status, standard priority for resource usage.

    • Yellow

    – Potential threat from storm. System in yellow alert status, resources on alert for potential use.

    • Orange

    – High threat from storm. System in orange alert status, enhanced priority for resource usage.

    • Red

    – Severe threat from storm. System in red alert status, highest priority for resource usage.

  • LPFS Alerts and Notifications

    Instant Messaging

    E-mail

    SMS

  • LPFS Portal Interface

    http://panther.hpc.lsu.edu:50080/gridsphere/gridsphere

  • LPFS Output – Wind & Elevation

  • The Future of LPFS

    • First and foremost, we must continue to improve LPFS' usefulness and dependability in order to aid USACE and the people of New Orleans;

    • Improve the system's ease of use and product delivery mechanisms

    • Allow for the selection of other point of interest with in the simulation domain

    • Develop further the alert/notification scheme further

    • Create a more distributed, asynchronous, and data driven system– i.e., be able to distribute an arbitrary number

    ensembles with an arbitrary number of tracks per ensemble

  • Conclusion

    • LPFS' first priority is to serve the needs of USACE and their efforts to protect the New Orleans Metro Area from the Lake's storm surge during a hurricane

    • LPFS is quickly maturing into a positive example of State, Federal, and Academic institutions cooperating in the name of public safety

    • The distributed LPFS is becoming a good framework to begin investigating many interesting distributed, data driven problems