This is a Demo of a Distributed Software Application: Analysis of a Canadian Smoke Transport Event Smoke GOES Demonstration Prepared for: IGARSS-Denver, July 2006 AGU, Dec.
Download ReportTranscript This is a Demo of a Distributed Software Application: Analysis of a Canadian Smoke Transport Event Smoke GOES Demonstration Prepared for: IGARSS-Denver, July 2006 AGU, Dec.
This is a Demo of a Distributed Software Application: Analysis of a Canadian Smoke Transport Event Smoke GOES Demonstration Prepared for: IGARSS-Denver, July 2006 AGU, Dec 2006 GSN Network Demo Prepared by: E. Robinson, R. Husar, Washington University July 16, 2006 Canadian Smoke Event, Jun-Jul, 2006 Science question: What is the 3D pattern of the long-range transported smoke? Regulatory question: What is the magnitude of smoke impact on surface concentration? June 27, 2006 Smoke MODIS Smoke GOES This demo illustrates the smoke pattern and transport analysis for June 27, 2006. Event Analysis Using the DataFed Web Service Based Workflow Software The nine demo datasets, including satellite, surface observations and models, are contributed in near realtime by different organizations. HMSPix TOMS GOES GOES Model MODIS MODIS RHBext AIRNOW NOAA NASA ACT CAPITA NASA Intex NASA Intex NASA JPL PSWC EPA Data access is through OGC standard services, WMS and WCS. The processing and rendering is performed through web service chaining at the DataFed server. Data Providers In a companion demonstration it is shown that these web services can be accessed and mashed with other services using different workflow engines, such as BPEL and SciFlo. Hence, connecting the loosely coupled web service components, data analysts can create their own analysis packages tailored to their own specific needs. Web Service Flow WMS, WCS OGC Services Following is a sequence that an analyst would take to establish the cause and the pattern of smoke. The procedure involves accessing and overlaying different combinations of datasets and models. Please note that on the right of any given page, the displayed datasets are highlighted in yellow. Data Providers Fire pixels from NOAA HMS HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA Service Flow 060627HMS.png Real-time “fire pixels” from MODIS and other satellites provide the first indication of major forest fires in Manitoba, Canada. The large clusters of fire pixels indicates contiguous fire zones. Smoke Identification through MODIS Data Providers MODIS indicates smoke HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA Service Flow 060627HMS_INTEXMODIS.png Adding the MODIS true color satellite image reveals major smoke plumes drifting eastward. A closer look at the fire zone shows individual smoke plumes emanating from the fires. Geostationary Satellite for Smoke Dynamics Data Providers GOES Vis also shows smoke HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA Service Flow 060627HMS_GOES9am.png The GOES satellite data, available every half an hour, shows the smoke transport as it changes throughout the day. Movie Place holder Animation of 30-minute GOES images shows the smoke dynamics, particularly at dawn and dusk. TOMS Indicates Light Absorbing Aerosol Data Providers TOMS Aerosol Index HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA Service Flow 060627HMS_GOES9am_TOMS.png The TOMS satellite shows smoke over Canada, but not over the Midwest. This discrepancy indicates that the smoke is elevated over Manitoba, and surface-based over the Dakotas. Note that on this day there was also a major forest fire in Arizona. Surface-based Observation of Smoke Data Providers TOMS Low visibility at surface stations AirNOW PM2.5 HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA Service Flow 060627HMS_GOES9am_TOMS_BEXT_AIRNOW.png Visibility data at surface meteorological stations (blue dots) indicates ground level smoke over the Dakotas NASA Aerosol Carbon Model Data Providers INTEX model for aerosol carbon HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA 060627HMS_INTEXCarbon9am.png The smoke simulation by the NASA INTEX model (pink) is driven by the observed fire locations. The model smoke pattern is similar to the GOES smoke pattern. NASA Model Shows Carbon Aerosol Pattern Data Providers GOES Vis also shows smoke HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA 060627HMS_GOES9am.png The smoke simulation by the NASA INTEX model (pink) is driven by the observed fire locations. The model smoke pattern is similar to the GOES smoke pattern. Global Context of the Canada Smoke, June 27 TOMS Data Providers HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA Model Carbon Service Flow 060627HMS_INTEXCarbon9am_TOMS_world.png The June 27 smoke event is detectable on a global scale. However, the global pattern of organic aerosols is the result of many other smoke emissions. Global Context of the Canada Smoke, July 6 TOMS Data Providers HMSPix NOAA TOMS NASA GOES ACT GOES CAPITA Model NASA Intex MODIS NASA Intex MODIS NASA JPL RHBext PSWC AIRNOW EPA Model Carbon Service Flow 060706HMS_INTEXCarbon9am_TOMS_world.png On July 6, 2006 the impact of the Canada smoke was more pronounced. DSS for Regulatory Exceptional Event Decisions Event Reports: Model Forecasts, Obs. Evidence Models Decisions Knowledge into the Minds of Event Knowledge into the Minds of State Analysts Observations EPA Regulators Event Knowledge into the Minds of EPA Analysts Decision Support System GEOSS Architecture Framework Analysis Summary and Conclusions The multi-sensory data analysis and model simulation shows that on June 27 the Canadian forest fire smoke was transported to the Dakotas near the surface. The AQ regulatory conclusion is that the surface air quality in the impacted areas is strongly influenced by this natural smoke event. Similar analysis for July 6, 2006 shows that the Manitoba smoke over the U.S. is transported in elevated layers away from the surface. Hence, on that day the surface air quality was not impacted by the intense smoke pall. Smoke GOES July 6, 2006 Acknowledgements • The two pre-recoded screencast demos were developed in collaboration with the GSN community as part of the The User and the GEOSS Architecture workshop series. Their constructive comments regarding the presentation and the experience gained from the previous demos is greatly appreciated. The screencast demos have evolved from earlier GSN and GALEON interoperability demonstrations. The intent is to retain the core demo as a semi-permanent, but continually evolving network devoted to air quality applications. It is hoped that in such a semipermanent GSN network, broader international participation will be possible. • In preparing these demos many different datasets were tested. The subset that was chosen for the Smoke Transport Demo, is listed in the table below. Each dataset can be viewed and explored through a link to the DataFed Viewer. Links to the data provider web pages are also given: Provider Dataset Parameter NOAA HMSPix Fire Pixs NASA TOMS Absorbing Aerosol Index ACT GOES Visible Reflectance, 4km CAPITA GOES Visible Reflectance, 1km NASA Intex Model Organics NASA Intex MODIS Visible Reflectance, 1km NASA JPL MODIS Visible Reflectance, 250m PSWC RHBext Surface Light Scattering EPA AIRNOW Surface PM2.5