1 CCT Faculty Meeting: 23/02/05 Challenges in Computing & Visualization of Hurricane Katrina Center for Computation & Technology Louisiana State University Representing Louisiana, National Coastal, Modeling Efforts Louisiana Coastal Area • 1927 flood, levees, loss of wetlands, growing crisis, social impact – 25% lost wetlands in last century, future predictions dire; increases flooding, surge risk • Hurricanes Pam (2004), Katrina – 1.4M FEMA aid applications, 35K > 1000 miles away, 33K evacuations by coast guard alone (6x 2004). Years to rebuild • Important problems: ecological, hurricane, algal bloom/salinity forecasting, restoration, evacuation, emergency response strategies • Rich dynamic environment for modeling: coupled models, multi-scale, realtime data (sensors, satellites) • Role of HPC, Models, Grids, Community
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CCT Faculty Meeting: 23/02/05
Challenges in Computing &Visualization of Hurricane Katrina
Center for Computation& Technology
Louisiana StateUniversity
Representing Louisiana,National Coastal,Modeling Efforts
Louisiana Coastal Area• 1927 flood, levees, loss of wetlands, growing
crisis, social impact– 25% lost wetlands in last century, futurepredictions dire; increases flooding, surge risk
• Hurricanes Pam (2004), Katrina– 1.4M FEMA aid applications, 35K > 1000 milesaway, 33K evacuations by coast guard alone (6x
2004). Years to rebuild• Important problems: ecological, hurricane,
algal bloom/salinity forecasting, restoration,evacuation, emergency response strategies
• Rich dynamic environment for modeling:coupled models, multi-scale, realtime data(sensors, satellites)
• Role of HPC, Models, Grids, Community
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CCT Faculty Meeting: 23/02/05 7
Part 1: Katrina ModelingWhere is it going to go?
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• Vision 20/20– $25M annually across 5 campuses– Example: LSU’s Center for Computation &
Technology• LONI
– $40M over 10 years– Creating most advanced network in the US
• How to leverage these investments post-Katrina/Rita?– Scientific, Technological, Economic Development
Part 2: State InvestmentsProvidingInfrastructure to Give Answers
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• Gov. Blanco leadership: Changing the the face ofLA, Southeast, Nation– High speed nets, computers change world: 1000x !
• LONI leading infrastructure in the nation– Southeast leads the way
• Connects us to leading facilities around world• Awash in data!
– Competitive for future development:• $67M Century proposal
– Unprecedented cooperation across state• Many applications not possible today
– Research and Education, Bio & Health Sciences,Astrophysics, Coastal Research, Economic Dev.
LONI
RamahRamahLONIDWDM
LandryLandryLONIDWDM
AlexandriaAlexandriaLONI POP
ULLULLLONI POPOTM POP
CoushattaCoushattaLONI DWDM
DerryDerryLONIDWDM
5555KmKm
8080KmKm
8989KmKm
LSULSU
HammondHammondLONI POP
UNOUNOLONIPOP
TulaneTulaneLONI POP
LSU HSC NOLSU HSC NOLONI POPOTM POP
8686KmKm
4848KmKm
5454KmKm
7575KmKm
2020KmKm
7070KmKm
SouthernSouthernDWDMDWDM
RingRing
MonroeMonroeLONI POP
La TechLa TechLONI POP
82Km82Km
5555KmKm
8282KmKm
7272KmKm
6161KmKm
8282KmKm
Northern DWDM RingNorthern DWDM Ring
SouthernSouthernLONI POP
MindenMindenLONIDWDM
3838KmKm
LSU HSC ShreveportLSU HSC ShreveportLONI POPOTM POP
NLR BRNLR BRLONI POP
LSULSU
Jackson, MSJackson, MSLONI DWDM
FranklinFranklinLONI DWDM
SchrieverSchrieverLONI DWDM
Port BarrePort BarreLONI DWDM
1313KmKm
102Km102Km
4242KmKm
LaPlaceLaPlaceLONIDWDM
6565KmKm
CrowleyCrowleyLONI DWDM
Lake CharlesLake CharlesLONI POP
6565KmKm
6969KmKm
1111KmKm
1313KmKm
3939KmKm
LLPPBB
1111KmKm
LSULSU
SeminarySeminaryLONI DWDM
GreensburgGreensburgLONI DWDM
TylertownTylertownLONI DWDM
MendenhallMendenhallLONI DWDM
JacksonJacksonLONIDWDM
TallulahTallulahLONI DWDM
StartStartLONIDWDM
EdwardsEdwardsLONI DWDM
RoanokeRoanokeLONI DWDM
3535KmKm3838
KmKm
4646KmKm
3535KmKm
3838KmKm
2424KmKm
2323KmKm
6464KmKm
5656KmKm
4848KmKm
The CCT Interdisciplinary ModelCore CS: Gabrielle Allen
ComputationalFrameworks Grid Computing Computational
MathematicsNetworks, Sensors
& GIS
Coast to Cosmos (C2C): Jorge PullinNumericalRelativity CFD Coast/Climate
ModelingGeoSciences &
Engineering
Visualization, Interaction and Digital Arts (VIDA): Steve BeckScientific
VisualizationHuman Computer
InteractionDigital Audio
& MusicDigitalMedia
CollaborativeEnvironments
Material WorldComputational
ChemistryComputational
BiologyMedical
ComputingComputational
Material Science
BusinessFinancial
Modeling?Virtual
Organizations? Scheduling? ServiceAgreements?
DecisionSciences?
Ass
ista
nt D
irect
or fo
r Com
putin
g A
pplic
atio
ns Scientific Computing
Astro
Scientific Computing
ComputationalBiology
ComputationalFrameworks
CFD Coastal/Climate Modeling
Geosciences &Petro engineering
Climate Modeling
Scientific VizComputing
Comp Math Math
Networks,Sensors, GISGrid, Computing
Creating Forecast Modelfor Coastal Erosion using
LONI
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CCT Faculty Meeting: 23/02/05
Storm SurgesADCIRC: Unstructured Grid Shallow Water Model
• Storm surges: the worst part– ~ 25 ft for Katrina, kill far more people than winds
• ADCIRC: Joannes Westerink, Rick Luettich,Randy Kolar, Clint Dawson
• Input 2D Unstructured Mesh, wind, pressure– 314K nodes, 85% near LA Coast– 50km resolution in deep ocean, 100m resolution
• 128 processor supercomputer: 1 hour toforecast 1 day
• Want: run dozens of simulations– Vary inputs, paths, strength
CCT Faculty Meeting: 23/02/05 13
Model-Model-Data Coupling
5
4
3
2
1
5 SCOOP Surge
Dr. Brian Blanton -- UNC
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4
3
2
1
4 SCOOP Surge
Dr. Brian Blanton -- UNC
4
3
2
1
3 SCOOP Surge
Dr. Brian Blanton -- UNC
7
4
3
2
1
2 SCOOP Surge
Dr. Brian Blanton -- UNC
4
3
2
1
SCOOP ADCIRC
1 SCOOP Surge
Dr. Brian Blanton -- UNC
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CCT Faculty Meeting: 23/02/05
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Part 3: DevelopingApproaches
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SURA Coastal OceanObserving Program (SCOOP)
• Integrating data from regional observingsystems for realtime coastal forecasts in SE
• Coastal modelers working closely withcomputer scientists to couple models,provide data solutions, deploy ensembles ofmodels on the Grid, assemble realtimeresults with GIS technologies.
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• $500M to restore 250 sq. miles since 1986– 12 sq. miles/year, but losing 2x this per year!
• How to catch up? $14B dollars later...– floods? diversions? pipelines of mud? many ideas!
• Complex processes: comprehensive approach neededto understand competing forces. But there is aquantitative answer! 38
Part 4: Moving to the FutureBeyond Hurricanes
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DynaCode• Focus on scenarios:
– Hurricane ensemble modeling• Coupling ocean circulation, storm surge,
wave generation models for the Gulf• Notifications from NHC trigger
customized ensemble hurricane models(surge/wind/wave), sensors verify, guidedynamic ensembles
• Event driven, dynamic componentframework with algorithm selection,optimization tools, workflow, dataassimilation, result validation withsensor/satellite.
– Ecological restoration and control• Breton Sound diversion, control structure
to allow Mississippi to flow into wetlands• Coupled models (hydrodynamic, salinity,
geomorphic, sediment) control diversion,sensors/wind fields inject real time data.
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Comprehensive 21st CenturyCoastal Modeling Initiative
• Computer Models– Complex problems require comprehensive
approaches– Interoperable software components: Storm, wind,
surge wave, transport, bio models: common tools
• Observation– Sensor, satellite, LIDAR, RADAR, GIS data– Data archives
• Leveraging State Investments: 20/20, LONI,NLR
• Coastal science/engineering leaders! Mostimportant!
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