SCEC Community Modeling Environment SCEC Community Modeling Environment (SCEC/CME):(SCEC/CME):

Cyberinfrastructure for Earthquake ScienceCyberinfrastructure for Earthquake Science

Philip MaechlingPhilip MaechlingSouthern California Earthquake CenterSouthern California Earthquake Center

University of Southern CaliforniaUniversity of Southern California

SCEC/UseIT Intern ProgramSCEC/UseIT Intern ProgramJune 6, 2005June 6, 2005

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People on the SCEC/CME ProjectPeople on the SCEC/CME Project

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SCEC/CME Researchers• Principal Investigators:

– Tom Jordan (USC)– Bernard Minster (Scripps Institution of Oceanography)– Carl Kesselman (USC/ISI)– Reagan Moore (San Diego Supercomputer Center)

• Research Leads:– Ned Field (USGS) -- Jacobo Bielak (CMU) – Kim Olsen (SDSU) -- Dave O’Hallaron (CMU) – Steve Day (SDSU) -- Ralph Archuleta (UCSB) – Tim Ahern (IRIS) -- Hans Chalupsky (ISI)– Yolanda Gil (ISI)

• Project Manager: – Phil Maechling (USC)

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SCEC/CME ProjectSCEC/CME ProjectGoal:Goal: To develop a cyberinfrastructure that can support system-level To develop a cyberinfrastructure that can support system-level earthquake science – earthquake science – the SCEC Community Modeling Environment (CME)the SCEC Community Modeling Environment (CME)

Support:Support: 5-yr project funded by the NSF/ITR program under the CISE 5-yr project funded by the NSF/ITR program under the CISE and Geoscience Directoratesand Geoscience Directorates

Start date:Start date: Oct 1, 2001 Oct 1, 2001

SCEC/ITRProject

NSFCISE GEO

SCECInstitutions

IRIS

USGSISI

SDSCInformationInformation

ScienceScienceEarthEarth

ScienceScience

www.scec.org/cme

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Seismic Hazard Analysis

• Intensity measure: Intensity measure: peak ground peak ground acceleration (PGA)acceleration (PGA)

• Interval: 50 yearsInterval: 50 years

• Probability of Probability of exceedance: 2%exceedance: 2%

Definition:Definition: Specification of the maximum intensity of shaking Specification of the maximum intensity of shaking expected at a site during a fixed time intervalexpected at a site during a fixed time interval

Example:Example: National seismic hazard mapsNational seismic hazard maps (http://geohazards.cr.usgs.gov/eq/)(http://geohazards.cr.usgs.gov/eq/)

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Seismic Hazard Analysis

• Intensity measure: Intensity measure: peak ground peak ground acceleration (PGA)acceleration (PGA)

• Interval: 50 yearsInterval: 50 years

• Probability of Probability of exceedance: 2%exceedance: 2%

Definition:Definition: Specification of the maximum intensity of shaking Specification of the maximum intensity of shaking expected at a site during a fixed time intervalexpected at a site during a fixed time interval

Example:Example: National seismic hazard mapsNational seismic hazard maps (http://geohazards.cr.usgs.gov/eq/)(http://geohazards.cr.usgs.gov/eq/)

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Structural fragilityStructural fragility

Risk = Probable Loss (lives & dollars) = Risk = Probable Loss (lives & dollars) =

Hazard Hazard Exposure Exposure Fragility Fragility

Extent & density of built Extent & density of built environmentenvironment

Faulting, shaking, Faulting, shaking, landsliding, liquifactionlandsliding, liquifaction

Risk Analysis: A System-Level ProblemRisk Analysis: A System-Level Problem

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The FEMA 366 Report “HAZUS’99 Estimates of Annual Earthquake Losses for the

United States”, September, 2000

• U.S. annualized earthquake loss (AEL) is about $4.4 billion/yr.

• For 25 states, AEL > $10 million/yr

• 74% of the total is concentrated in California

• 25% is in Los Angeles County alone

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Pathway 1: Puente Hills M 7.1 Scenario

PeakGroundAcceleration(% g)

0 - 1212 - 2424 - 3636 - 4848 - 6060 - 72

Los AngelesCounty

DowntownDowntownLALA

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MantleConvection

ClimateSystemThree Global

GeosystemsAtmosphere

Hydrosphere

Cryosphere

Lithosphere

Asthenosphere

Deep Mantle

Outer Core

Biosphere

Inner Core

Core Dynamo

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SHA Computational SHA Computational PathwaysPathways

IntensityMeasures

Earthquake Forecast Model

AttenuationRelationship

1

Standardized Seismic Hazard AnalysisStandardized Seismic Hazard Analysis

Ground motion simulationGround motion simulation

Physics-based earthquake forecastingPhysics-based earthquake forecasting

Ground-motion inverse problemGround-motion inverse problem

AWMGroundMotionsSRM

Unified Structural RepresentationFaults Motions Stresses Anelastic model

2

AWP = Anelastic Wave PropagationAWP = Anelastic Wave PropagationSRM = Site Response ModelSRM = Site Response Model

RDM

FSM

3

FSM = Fault System ModelFSM = Fault System ModelRDM = Rupture Dynamics ModelRDM = Rupture Dynamics Model

Invert

Other DataGeologyGeodesy

4

Physics-basedPhysics-basedsimulationssimulations

EmpiricalEmpiricalrelationshipsrelationships

Improvement Improvement of modelsof models

2

3

1

4

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Pathway Instantiations

SCEC Community Modeling EnvironmentSCEC Community Modeling EnvironmentA collaboratory for system-level earthquake scienceA collaboratory for system-level earthquake science

Knowledge BaseOntologies

Curated taxonomies,Relations & constraints

Pathway ModelsPathway templates,

Models of simulation codes

Code Repositories

Data & SimulationProductsData Collections

FSM

RDM

AWM

SRM

Storage

GRIDPathway Execution

Policy, Data ingest, Repository access

Grid ServicesCompute & storage management, Security

DIGITALLIBRARIES

Navigation &Queries

Versioning,Replication

MediatedCollectionsFederated

access

KNOWLEDGEACQUISITION

Acquisition InterfacesDialog planning,

Pathway constructionstrategies

Pathway AssemblyTemplate instantiation,

Resource selection,Constraint checking

KNOWLEDGE REPRESENTATION & REASONINGKnowledge Server

Knowledge base access, InferenceTranslation Services

Syntactic & semantic translation

Computing

Users

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SCEC/CME Computational Pathway ConstructionSCEC/CME Computational Pathway Construction

A major SCEC/CME objective is the ability to construct and run A major SCEC/CME objective is the ability to construct and run complex computational pathways for SHAcomplex computational pathways for SHA

9000 Hazard Curve files (9000 x 0.5 Mb = 4.5Gb)

Extract IMR

Value Plot

HazardMap

Lat/Long/Amp (xyz file) with 3000 datapoints (100Kb)

Calculate Hazard Curves

Gridded Region Definition

IMR Definition

ERF Definition

Probability of Exceedence

and IMRDefinition

GMT MapConfigurationParameters

Define Scenario

Earthquake

Pathway 1 example

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Example Application of Pathway 1:Scenarios for M 7.4 Southern San Andreas Rupture

Courtesy of Ned Field, USGS, PasadenaCourtesy of Ned Field, USGS, Pasadena

Without soil & basin effects With soil & basin effects

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SCEC Collaboratory for system-level earthquake sciencefor system-level earthquake science

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Pathway ComparisonsSCEC/CME computational testbed was used to generate PGV Hazard Maps

utilizing Pathway 1 and Pathway 2 data sets and SCSN observed data.

Pathway 1 (All Firm Soil) Pathway 1 (SCEC CVM 3.0) Pathway 2 (Olsen AWM)

PGV data for Northridge from SCSN System(Pathway 0)

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SCEC IT Challenges

Many geophysical models, computational programs, and data sets and data types.

Large scale simulations, high performance computing and large-scale data management are required in a physics-based approach to earthquake modeling at high spatial-temporal resolution requires.

Communication tools, distributed model development, and computer resource sharing are required by the distributed SCEC collaboration.

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SCEC/CME Research Areas• Geoscience Research Areas:

– Probabilistic Seismic Hazard Analysis– Anelastic Wave Propagation Modeling– Rupture Dynamics Modeling– Data Inversion

• IT Research Areas:– High Performance Computing– Grid– Digital Library– Knowledge Representation and Reasoning– 4D Data Visualization– Creation of Computational Pathways– Web Services– Data Integration– Data Standards– Community Computational Models

• Outreach and Education:– Undergraduate and Graduate Research Opportunities– Access to non-scientific Users (Emergency Management, Public)

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Composition Analysis Tool (CAT) Interface

User building a pathway specification from library of components

Errors and fixes generated by ErrorScan algorithm

Earthquake Simulation

SCEC ITR Collaboration

The SCEC

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Major Earthquakes on the San Andreas Fault, 1680-present

19061906M 7.8M 7.8

18571857M 7.9M 7.9 ~1680~1680

M 7.7M 7.7

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TeraShake Simulation Area

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33 researchers, 8 InstitutionsSouthern California Earthquake Center

San Diego Supercomputer CenterInformation Sciences Institute

Institute of Geophysics and Planetary Physics (UC) University of Southern California

San Diego State UniversityUniversity of California, Santa Barbara

Carnegie-Mellon UniversityEXonMobil

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TeraShake Peak Ground Velocity Maps

NW to SE rupture

SE to NW rupture

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SCEC/CME Grid InfrastructureSCEC/CME has established grid-based connectivity, job-scheduling, and user and host authentication between SCEC, USC, ISI, SDSC, and PSC.

horizon.sdsc.edu- IBM Blue Horizon- 1152 CPUs- 576GB RAM

SDSC

hpc.usc.edu- IBM Linux cluster- 640 CPUs- 320GB RAM

USC

almaak.usc.edu- SUN Sunfire 15K- 64 CPUs- 256GB RAM

condor.usc.edu- Condor pool- A collection of 320 SUN workstations

SCEC Grid Testbed

epi.usc.edu- SUN E3800- 8CPUs- 8GB RAM

gravity.usc.edu- Linux- 4 CPUs- 4GB RAM

SCEC

sidecar.psc.edu- Linux- 1CPU- 1GB RAM

PSC

pinto.isi.edu- Linux- 2CPUs,500MHz- 380MB RAM

ISI

giis.scec.org/scec-giis.isi.edu- Linux- 2CPUs, 1GHz- 1GB RAM

Current SCEC Grid configuration

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SCEC Community Library

• Data grid architecture using SDSC Storage Resource Broker– Supports user customizable portals– Maintains associations between

data and metadata

• Current collections contain 1.6 million files (10 terabytes)– 3D ground motion for LA Basin (36

scenarios)– Rupture Dynamics 4D Wavefield

• http://www.sdsc.edu/SCEC

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SCEC UseIT Undergraduate Intern Program

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LA3D GeoWall Software

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Group Interaction and Collaboration Tools• Applying communication tools to help with this

distributed collaboration.

– Web Sites

– Software Configuration Management Tools

– Document Management Tools

– Bug Tracking Tools

– Data File and Metadata Tools

– Email Lists

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Hosting of SCEC Community Models• Provide access to SCEC Community Models, possibly

alternative models, and utilities for working with the models.

Community Fault Model (CFM-A)Community Velocity Model (CVM.3.0)

Community Crustal Motion Map (CMM.3.0.1)

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Comparisons for 09/03/02 Yorba Linda Earthquake

Data in black, SCEC CVM (FD) in blue, Harvard model (SEM) in red

Validation Exercises for Simulation Codes

Comparison of Dynamic Rupture Models Rupture Test Case Contours

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Hosting of SCEC Community Codes

• Provide access to SCEC geophysical codes

Pathway 1:

• OpenSHA

Pathway 2:

• Olsen AWM

• CMU Hercules AWM

Pathway 4:

• Synthetic Seismograms

• Fréchet Kernels

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Supporting and Running Large Scale Simulations

8 Processors (in 2002) 240 Processors (in 2004)

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Establishment of SCEC Grid InfrastructureSCEC/CME has established grid-based connectivity, job-scheduling, and user and host authentication between SCEC, USC, ISI, SDSC, PSC, and

TeraGrid sites.

horizon.sdsc.edu- IBM DataStar- 1152 CPUs- 576GB RAM

SDSC

hpc.usc.edu- IBM Linux cluster- 640 CPUs- 320GB RAM

USC

almaak.usc.edu- SUN Sunfire 15K- 64 CPUs- 256GB RAM

condor.usc.edu- Condor pool- A collection of 320 SUN workstations

SCEC Grid Testbed

epi.usc.edu- SUN E3800- 8CPUs- 8GB RAM

gravity.usc.edu- Linux- 4 CPUs- 4GB RAM

SCEC

sidecar.psc.edu- Linux- 1CPU- 1GB RAM

PSC

pinto.isi.edu- Linux- 2CPUs,500MHz- 380MB RAM

ISI

giis.scec.org/scec-giis.isi.edu- Linux- 2CPUs, 1GHz- 1GB RAM

horizon.sdsc.edu- IBM Blue Horizon- 1152 CPUs- 576GB RAM

TeraGrid

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SCEC Digital Library - Providing Data Management Capabilities

• Storage Resource Broker based Digital Library Collection now includes SCEC/PEER Scenario Ground Motion data collection, USC Green Tensors data collection (40TB+ Storage), TeraShake Simulations (40 TB+), and Puente Hills Simulation.

SCEC Community

Library

Select Receiver (Lat/Lon)

OutputTime HistorySeismograms

Select ScenarioFault Model

Source Model

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SDSC Data Visualization

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ISI Data Visualization

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Example SCEC and SCEC/CME IT-oriented ActivitiesExample SCEC and SCEC/CME IT-oriented Activities

• UseIT Intern Program

•Unified Structural Representation

• Ground Motion Prediction

• Communication, Education, Outreach

•OpenSHA Seismic Hazard Analysis

• Earthquake Forecasting

• Unified Structural Representation

• Ground Motion Prediction

• Communication, Education, Outreach

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Example SCEC and SCEC/CME IT-oriented ActivitiesExample SCEC and SCEC/CME IT-oriented Activities• CyberShake Waveform-based Seismic Hazard Analysis

• Unified Structural Representation

• Earthquake Rupture Dynamics

• Ground Motion Prediction

• Communication, Education, Outreach

•TeraShake 2 Dynamic Rupture-based Simulations

• Unified Structural Representation

• Earthquake Rupture Dynamics

• Ground Motion Prediction

• Communication, Education, Outreach

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CyberShake Project

Using 3D Synthetic Seismic Waveforms In Seismic Hazard Analysis

Intensity-Measure RelationshipIntensity-Measure RelationshipList of Supported IMTs

List of Site-Related Ind. Params

IMT, IMT, IML(s)IML(s) Site(s)Site(s) RuptureRupture

Prob(IMT IML | Site,Rup)

Attenuation Relationships

Simulation IMRsexceed. prob. computed using a suite of synthetic seismograms

Vector IMRs

compute joint prob. of exceeding multiple IMTs

(Bazzurro & Cornell, 2002)

Multi-Site IMRscompute joint prob. of exceeding

IML(s) at multiple sites

(e.g., Wesson & Perkins, 2002)

Various IMR types (subclasses)

Gaussian dist. is assumed; mean and std. from various parameters

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Ruptures in ERF within 200KM of USC

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CyberShake Computational Elements• Large (TeraShake Scale) forward calculations for each site.

• Requires calculation of 100,000+ seismogram for each site.

• SCEC/CME Grid-based scientific workflow system required to work at this scale.– Access to distributed computing resources– Large scale file management– High performance and high throughput computing.

• TeraGrid allocation awarded for effort– 145K SU (TG-BCS050001N)

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End