Smr Fastnet Presentation Take2 Pubs
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FASTNET is a project that brings together real-time and historical aerosol data sets into several web-based consoles to aid in analysis of aerosol events. It synthesizes data from various sources, like monitors, satellites, and models, to provide a broader characterization of events than individual data sets alone. The consoles allow users to browse and analyze data to understand features and potential causes of aerosol episodes. FASTNET is freely accessible online and its products have the potential to provide context to air quality data.
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![FASTNET ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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2004-06-24 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET Proj...
The document discusses the FASTNET project which aims to better characterize natural haze conditions through the analysis of major natural aerosol events like forest fires and dust storms. The goal is to develop tools for data access, archiving, and analysis to describe the spatial, temporal, and compositional features of natural aerosols. This will help understand their contribution to regional haze and establish baseline natural conditions as required by the Regional Haze Rule.
070726 Igarss07 Barcelona
The document discusses a view-based mediated web service architecture called DataFed that federates distributed environmental science data sources. DataFed uses wrappers to provide uniform access to over 100 datasets from different providers. It allows tools to overlay, compare and fuse data in near real-time and delayed integration. The system delivers diverse information products to users through a service-oriented architecture and third-party mediation that homogenizes distributed data sources.
Fastnet Awma Em
http://capitawiki.wustl.edu/index.php/20050605_DataFed_and_FASTNET_Tools_for_Agile_Air_Quality_Analysis
CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...
CLIM Program: Remote Sensing Workshop, Satellites and Stovepipes - Jay Morris...The Statistical and Applied Mathematical Sciences Institute
NOAA does an excellent job of generating an disseminating data to meet the primary mission of Preservation of Life and Property. There is an unrealized opportunity to exploit the data for research and profit. Much of the data is hidden deep in archives with community specific portals for access. Modern technologies allow new methods to expose more data to wider audiences in order to stimulate innovation and discovery. NOAA is currently experimenting with cloud
technologies through the big data partnership by making high value data sets such as GOES East available on the cloud through cloud provider partners. Specifically: 1. To understand and predict changes in climate, weather, oceans and coasts; 2. To share that knowledge and information with others; and 3. To conserve and manage coastal and marine ecosystems and resources. There is an unrealized opportunity to exploit NOAA?s vast data holdings for research and profit. Much of the data is hidden deep in archives with community specific portals for access. Modern technologies allow new methods to expose more data to wider audiences in order to stimulate innovation and discovery. NOAA is currently experimenting with cloud technologies through the big data partnership by making high value data sets such as GOES East available on the cloud through the partners.061206 Ua Huntsville Seminar
The document describes an agile distributed air quality data system called DataFed. It discusses how DataFed facilitates access to heterogeneous air quality data from various autonomous providers through standard protocols and formats. DataFed transforms and homogenizes the data for uniform access and provides tools for collaborative analysis, reporting and dynamic delivery of information products to users.
WE1.L10 - TERRA, AQUA, AND AURA DIRECT BROADCAST – PROVIDING EARTH SCIENCE DA...
This document provides an overview of the Direct Broadcast (DB) capabilities of NASA's Terra, Aqua, and Aura Earth observing satellites. DB allows near real-time transmission of science data to ground stations around the world. Over 200 stations worldwide receive DB data, which is used for applications like weather forecasting, disaster monitoring, and fisheries. Examples of DB data users include government agencies, universities, and private companies using the data for purposes like wildfire detection, ozone monitoring, and natural resource management.
Airborne Data Processing And Analysis Software Package
This document describes software developed at the University of North Dakota to process and analyze airborne measurement data. The software, called the Airborne Data Processing and Analysis (ADPAA) package, was created as open source software to fully automate data processing while incorporating missing value codes and multiple levels of data processing. ADPAA produces standardized ASCII files that contain metadata to document the data and facilitates quality control procedures and reprocessing of data.
Web Services Emissions 2006 Falke
1. The document discusses developing an "air emissions cyberinfrastructure" using web services to provide access to distributed emissions inventory data and analysis tools through standardized interfaces.
2. This would allow emissions data to remain controlled by their owners while still being accessible over the web. Users could find, access, and analyze data through a single portal without needing specialized software.
3. The system is being built following principles of distributed, non-intrusive, transparent, and interoperable designs in order to allow new datasets and tools to be easily incorporated.
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100528 satellite obs_china_husar
This document discusses the challenges of characterizing air pollution using remote sensing observations over China. It describes the seven dimensions of data - spatial, height, time, particle size, composition, shape, and mixing - needed to fully characterize air pollution. While each individual observation method or data set has limitations, together they can provide consistent global-scale observations. There remain significant challenges to integrating data from multiple sensors to accurately measure air pollution. International collaboration combining global satellite data with detailed local observations in China may help advance progress in addressing this issue.
2013-04-30 EE DSS Approach and Demo
The document describes the Exceptional Event Decision Support System (EE DSS), a tool to help states and EPA regions implement the EPA's Exceptional Events Rule. The EE DSS uses air quality, meteorological, and other data to screen for exceedances and flag those likely caused by exceptional events like dust storms, wildfires, or July 4th fireworks. It aims to minimize the technical hurdles of the EE rule and provide a uniform, transparent methodology. The document outlines the EE DSS's data sources and modeling, screening approach, tools for visualizing events, and provides an example demo of the system in action.
Exceptional Event Decision Support System Description
This slideshow is a brief description of the Exceptional Event Decision Support System Description (EE DSS).
130205 epa exc_event_seminar
This document summarizes Rudolf Husar's presentation on exceptional event analysis and decision support systems. It discusses using diverse data like satellites, models, and real-time monitoring to evaluate exceptional events like wildfires, dust storms, and their impact on air quality measurements. Specific examples are presented of exceptional events from dust from Asia and Africa impacting North America, as well as wildfires in Georgia impacting ozone and PM2.5 levels. Tools like the Navy Aerosol Analysis and Prediction System model and satellite data are highlighted for their ability to analyze the transport and impact of these aerosol plumes to support regulatory decisions. The goal of reconciliation of emissions, observations, and models is discussed to improve the evaluation of exceptional events
130205 epa ee_presentation_subm
Rudolf B. Husar presented at the EPA on exceptional smoke and dust events. He discussed using diverse data like satellites, models, and real-time data in a decision support system to evaluate these events. The NAAPS aerosol model assimilates satellite data to provide the 3D structure of smoke, dust, and other aerosols. Long-term NAAPS data from 2006 to present show the vertical distribution of different aerosols. Satellite data help reduce biases between surface PM measurements and air quality models.
111018 geo sif_aq_interop
The document discusses the Air Quality Community of Practice (AQ CoP) which facilitates interoperability and data networking for air quality and health applications. The AQ CoP has developed an open-source Air Quality Data Network (ADN) consisting of 7 interoperable air quality data servers that provide access to diverse observational and model datasets using international standards. The ADN demonstrates GEO principles and infrastructure but requires further development to support real applications. The main role of the AQ CoP is to connect different initiatives and enable the ADN network.
110823 solta11 intro
The workshop will bring together practitioners from Europe and North America to discuss progress and challenges in realizing an interoperable air quality data network. Participants will assess the current state of the pilot network, address key technical issues around data standards, server implementation and maintenance, and catalog design. The goal is to advance the network from a virtual concept to an operational reality, facilitating improved access, integration and reuse of air quality observation and model data.
110823 data fed_solta11
The document describes DataFed, a federated data system that provides non-intrusive integration of diverse environmental datasets using open standards. DataFed allows users to find and access datasets through a catalog and flexible tools for processing and visualizing the data. It facilitates publishing, finding, and accessing geospatial and environmental data through loose coupling of autonomous nodes and OGC web service protocols.
110510 aq co_p_network
This document discusses the emerging pattern in the air quality information ecosystem. It notes that individual data providers, scientists, and decision supporters are being replaced by groups that facilitate access, sharing, and integration. These include data portals, science teams, and decision support systems. The ecosystem involves multiple stages from observations to decisions, with value added at each stage through activities like data aggregation, scientific collaboration, and predictive analysis. This new structure is more efficient and supports the goals of initiatives like GEOSS.
110509 aq co_p_solta
The document discusses a workshop on networking air quality observations and models to support decision making. The workshop aims to (1) introduce participants and identify shared data and applications, (2) exchange best practices for interoperability, and (3) address technical and collaboration issues. The preliminary agenda covers assessing the current state of air quality interoperability and the technical requirements for improved data sharing and integration to support applications and decision support systems.
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The document summarizes the exploration of PM networks and data over the US using two datasets: AQS and VIEWS. It presents information on the coverage and frequency of EPA monitoring data, as well as data from the VIEWS network. It also describes the user interface for the Datafed browser and schemes for processing and aggregating raw monitoring data spatially and temporally. Finally, it analyzes the spatial and temporal variation of PM levels and the correlation between continuous and EPA monitoring data in different regions of the US.
110410 aq user_req_methodology_sydney_subm
This document proposes a methodology to determine user requirements for Earth observations related to air quality management. The methodology is a bottom-up approach that (1) defines the major workflow steps of air quality management, (2) identifies the value-adding activities within each step, (3) determines the participants ("users") for each activity, and (4) establishes the Earth observation needs of each user. The methodology is intended to facilitate ongoing feedback to optimize the value of Earth observations for air quality management and reduce gaps. It provides a systematic way to account for user needs based on the specific activities and users involved in the air quality management process.
110408 aq co_p_uic_sydney_husar
This document provides a 2011 progress report for the GEOSS Air Quality Community of Practice (AQ CoP). It summarizes activities undertaken in 2011, including developing an air quality data server software to make data more accessible and interoperable, creating a user requirements registry to identify needed observations and models, and matching user needs with available data through a community catalog. It outlines ongoing projects and plans to further expand the air quality data network through coordination and workshops in 2011. The overall goal is to integrate air quality initiatives and make relevant data more findable, accessible and interoperable to support applications in air quality and health.
110105 htap pilot_aqco_p_esip_dc
The document describes the HTAP Data Network, which demonstrates a service-oriented approach to sharing atmospheric model outputs and air quality observations between various data servers using open standards. The main output is open-source WCS data server software and tools that allow different organizations to publish, find, and access distributed air quality data holdings in a interoperable way as part of the GEO Task DA-09-02d: Atmospheric Model Evaluation Network. The network aims to connect air quality data providers and users to enable effective air quality science and management.
100615 htap network_brussels
The REASoN Project will link NASA's air quality data, modeling, and systems to users in research, education, and applications. It aims to address hurdles users face in finding, accessing, evaluating, and merging relevant data. The project will utilize service orientation and interoperability standards to build an adaptable information infrastructure. This will include becoming a node on the air quality network, implementing standards for sharing data and tools, and participating in the GEOSS Architecture Implementation Pilot.
121117 eedss briefing_nasa_epa
This document summarizes the Exceptional Event Decision Support System (EE DSS) which uses NASA satellite data and the Navy Aerosol Analysis and Prediction System (NAAPS) model to help with air quality management decisions regarding exceptional events like smoke and dust events. The EE DSS has been developed since 2005 with NASA support and is now ready to serve air quality management at the federal, regional, and state levels. It can automatically detect and analyze events, display relevant data through interactive maps and cross-sections, and its tools have helped explain declines in exceptional event flags and PM2.5 concentrations from 2006-2012. Coordination is proposed with NASA and EPA for continued application of the EE DSS to smoke and dust events in
120910 nasa satellite_outline
This document discusses the usefulness of satellite observations for air quality applications and regulatory requirements. It outlines six key air quality requirements that satellites can help address, such as determining compliance with air quality standards and identifying long-range pollution transport events. The document also notes how satellites can help improve emissions estimates, characterize long-range transport of pollution, and increase interaction between air quality and remote sensing scientists. However, it cautions that relating satellite aerosol optical depth measurements directly to ground-level PM concentrations currently has too much uncertainty for regulatory or public health applications.
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The document discusses tools for closing the gap between emissions, observations, and models of air quality. It proposes a service oriented architecture and network to integrate multiple datasets from observations, emissions, and models. This would allow iterative evaluation and improvement of models by comparing them to observations and adjusting emissions estimates to reduce biases. The end goal is to provide the best available composition of the atmosphere by integrating the best observations, emissions estimates, and models.
110414 extreme dustsmokesulfate
This proposal outlines a study on the influence of weather and climate events on air quality issues like dust, smoke, and sulfate events. The study would examine these events at both the continental/hemispherical scale and regional scale. At the continental scale, the analysis would demonstrate the role of global climate and emissions and identify tipping points for air quality regulations. At the regional scale, the study would analyze the effects of regional emissions, climate, and precipitation on air quality. The proposal describes tools and methods for conducting continental and regional air quality-climate analysis, including models, datasets, and satellite data. The goals are to support air quality management and identify implications for policy.
Aq Gci Infrastructure
The document discusses various applications of air quality data including regulatory exceptions, hemispheric transport projects, and atmospheric composition portals. It also describes the Air Quality Community of Practice's contributions to the GEOSS Common Infrastructure through developing an air quality community catalog and data finder to help users discover and access air quality data and metadata registered in the GEOSS clearinghouse and registry.
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Smr Fastnet Presentation Take2 Pubs
- 1. The FASTNET Project Presented by: Sean Raffuse 1 Rudy Husar 2 Rich Poirot and Gary Kleiman 3 1 Sonoma Technology, Inc. 2 Center for Air Pollution Impact and Trend Analysis (CAPITA) 3 NESCAUM Presented at: U.S. EPA 2005 National Air Quality Conference San Francisco, CA February 13-16, 2005 STI-2646
- 4. FASTNET is one of many projects within DataFed.net which share common data sets which are archived and accessible and can be viewed, compared, exported, analyzed, and interpreted using a variety of web-based applications FASTNET uses the DataFed.net infrastructure Supported by NSF, NASA, EPA and other Agencies
- 5. DataFed Synthesizes Data for Analyses Image Files Ambient Monitors Emission Inventories Fire Locations Meteorology GIS Maps Satellite Imagery Data Data Retrieval Service Outputs Websites Maps Graphs XML CSV Analyst Consoles Custom Consoles Manager Console Connects to various data types And creates standard data views Which can be incorporated into websites Databases
- 6. AIRNow and FASTNET The AIRNow PM 2.5 data set is the benchmark parameter used in FASTNET The products of FASTNET have the potential to be returned to AIRNow to provide context Hourly PM 2.5 data Tools and the analyst community Event analysis, packaging, and context
- 7. Real-time Real-time Real-time
- 8. Data catalog(s) provide access to many fast (rapidly available), current (near-real-time, recently archived and continuing), and slow (historical data like IMPROVE Aerosol and ATAD trajectories)
- 10. This is one of several Analyst Consoles Visibility Meteorological parameters Satellite indices Fires Aerosol models Imagery
- 12. High winds in northeast Texas and Oklahoma Navy Aerosol Analysis and Prediction System (NAAPS) Model shows dust in this area
- 13. Air Quality Manager’s Console Browse a subset of the FASTNET data in time and space with a simple GIS interface Hourly PM 2.5 Visibility Fire Locations GIS Data Layers
- 14. Event Tracker provides pre-selected views and links to other information Analyst summaries
- 15. Satellite images News stories
- 18. Sulfate in the Northeast Sahara Dust in the Gulf Fires in the Southeast Time Series Console: Southeast Analyst Console Applications: Sulfate Episode: 8/27/04
- 21. Satellite detects fires in the Southeast But PM 2.5 values are small
- 22. The NAAPS model suggests the high PM 2.5 in the Northeast is due to sulfate
- 23. Users can customize views by layering the many available data sets These custom views can be incorporated into their own websites