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ProgrammableWorkflows

IlkayAltintas1,DanielCrawl1,CharlesCowart1,Amarnath Gupta1,JessicaBlock2,RaymonddeCallafon3,Hans-WernerBraun1,MichaelJ.Gollner4,LarrySmarr2,ArnaudTrouve4,JeffSale1

1-SanDiegoSupercomputerCenter,UCSanDiego,2-CaliforniaInstituteforTelecommunicationsandInformationTechnology,UCSan Diego3-MechanicalandAerospaceEngineering,UCSanDiego,4-DepartmentofFireProtectionEngineering,UniversityofMaryland

WIFIRE DataModelandCatalogforWildfireDataandToolsCyberinfrastructureforWildfireResearchandResponse

WhatisWIFIREWIFIRE is an NSF-funded project to build an end-to-end cyberinfrastructure forreal-time and data-driven simulation, prediction, and visualization of wildfirebehavior. WIFIRE may be used by wildfire management authorities in the future topredict wildfire rate of spread and direction, and assess the effectiveness of high-density sensor networks in improving fire and weather predictions. WIFIRE hascreated a data model for wildfire resources including sensed and archived data,sensors, satellites, cameras, modeling tools, workflows, and social informationincluding Twitter feeds for wildfire research and response.

Entity-RelationshipDiagramofVaisala WXT-520WeatherStations,asanexample

kepler-project.org

The Kepler scientific workflow system is instrumented to interact with the datacatalog to access real-time streaming and archived wildfire data and stream it intodynamic data-driven wildfire models at scale.

We are creating web-based user interfaces and mobile-device apps that use our REST service for dissemination to the wildfire modelingcommunity and our project partners.

wifire.ucsd.eduwifire.ucsd.edu

WIFIRE is funded by NSF 1331615 under CI, Information Technology Research and SEES Hazards programs. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).

InteractiveUserInterfaces

This data model and associated wildfire resource catalog includes a detaileddescription of the internet network and remote streaming data being collected.Some datasets include weather data and web cameras from the UCSD HighPerformance Wireless Research and Education Network (HPWREN), weathersensors from SDG&E’s Mesonet, and the NASA MODIS satellites. The WIFIREdata-model describes how to integrate the data from multiple heterogeneoussources to provide detailed fire-related information. The data catalog describes‘Observables’ captured by each instrument using multiple ontologies includingOGC SensorML and NASA SWEET. Observables include measurements such aswind speed, air temperature, and relative humidity, as well as their accuracy andresolution. We have implemented a REST service for publishing to and queryingfrom the catalog using Web Application Description Language (WADL).

TheDataModel

Union Filter RasterizeFind

Polygons

UCSD Red Mountain Web Cameras from May 14, 2014 in San Diego: HighwayFire (left), Poinsettia Fire (center), Tomahawk Fire (right)

VaisalaWXT520

Receives

Wind Data

Receives

Receives Diagnostic Data

Pressure, Temp, Humidity Data Receives

min wind direction (degrees)

min wind speed (m/s)

avg wind direction (degrees)

avg wind speed (m/s)

max wind direction (degrees)

max wind speed (m/s)

hPA = hectopascal

air temp (C)

relative humidity (%RH)

air pressure (hPA)

Precipitation Data

rain accum (mm)

hail duration (s)

rain duration (s)

hail accum (hits/cm^2)

rain intensity (mm/h)

hail int (hits/

cm^2h)

rain peak intensity (mm/h)

hail peak int (hits/cm^2h)

heating voltage (V or N=off)

heating temp (C)

supply voltage (V)

3.5 ref voltage (V)

HWB timestamp

latitude location longitude

elevation

KeplerincludesGISactors thatperformoperationsonvectorandrasterdatasets.Belowisanexampleworkflowthatcalculatespolygonsmatchingacertaincriteria.

Output from Fire Growth Workflow comparingfire perimeters generated by FARSITE withMODIS fire detections. Output from Santa Ana Conditions

Workflow for San Diego County.

WebCamerasforEnvironmentalModeling

Wind,Temperature,HumidityFireMonitoringandModels

Fire fighters in San Diego County have often used the UCSDHPWREN mountain-top cameras. The Data Model allows fordata integration of the camera intel with additional mappedenvironmental data.

Web interface for monitoring current weather conditions and forquerying historical weather, animated over time series.

Ingesting and mapping fire perimeters to the Data Modelfrom InciWeb and GeoMac allows us to track firepropagation while monitoring weather changes.