Ws For Aq
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The document discusses a scenario where smoke from fires in Mexico causes high particulate matter (PM) concentrations over the eastern United States. It describes the goals of detecting and predicting the smoke plume and its impacts on air quality to help manage transportation safety. Key needs are real-time fire and smoke monitoring, PM and ozone forecasts, and analysis and delivery tools to provide information to managers and the public.
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![Application Scenario: Smoke Impact REASoN Project: Application of NASA ESE Data and Tools to Particulate Air Quality Management ( PPT/PDF ) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Record Smoke Impact on PM Concentrations [email_address] , stefan @me.wustl. edu Smoke Event](https://image.slidesharecdn.com/ws-for-aq137/85/Ws-For-Aq-1-320.jpg)
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2005-10-31 Characterization of Aerosol Events
This document summarizes research on characterizing aerosol events using monitoring data. It discusses:
- Long-term monitoring networks that measure particulate matter and species over hundreds of sites
- Tools like analysts' consoles that use spatial and temporal data to help characterize events
- Methods for decomposing temporal signals to identify seasonal, random, and event components
- Examples of analyzing specific aerosol events across the Eastern US using these tools and data.
2005-10-31 Concepts on Aerosol Characterization
This document discusses concepts related to aerosol characterization and monitoring for regulatory purposes. It covers the goals of the Regional Haze Rule to reduce natural and man-made haze, challenges in characterizing particulate matter using different sensors, and the FASTNET project's aim to detect and document natural aerosol events using data from various sources fed through the DataFed.Net system.
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
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.
2008-05-27: AGU Spring, Collaboration Tools
The document discusses enabling tools and methods for international collaboration using virtual workspaces. It describes three types of workspaces - DataSpaces to connect data providers and users, ActivitySpaces to connect people working on shared activities, and ToolSpaces to connect tool creators and users. Examples are given of different projects that have used these virtual workspaces to facilitate collaboration, including developing naming conventions, air quality data summits, and designing a community air quality data system. The workspaces allow distributed groups to easily share and archive related content, discussions, and resources to support ongoing collaborative work.
2003-10-10 Measurement of free iron content in desert dust : effect on light ...
The atmospheric dust system has at least 8 dimensions including spatial, temporal, size, composition, shape, and mixture. New observational tools like satellites and surface networks allow monitoring of the global daily aerosol pattern and transport, but each sensor resolves some dimensions and integrates over others. Data and analysis tools from multiple sources can help characterize the dust system and derive knowledge about sources and processes. Current evidence allows estimation of transcontinental dust transport to North America, with average yearly Saharan dust over the southeast US around 0.2-1 μg/m3 and July peaks of 2-6 μg/m3. Specific transcontinental dust episodes from Africa and Asia can approach 50-100 μg/m3 over large regions. These
2006-10-16 U Wisconsin Seminar
The document discusses atmospheric aerosols and their characterization. It notes that aerosols have complex physicochemical properties and their full characterization requires measuring multiple dimensions such as size, composition, shape, and mixing state. Satellite data has helped characterize the global distribution of aerosols but challenges remain in integrating different data sources. Aerosols originate from both natural sources like dust, fires and volcanoes as well as human activities and influence factors like climate, air quality and human health.
2005-05-11 Current Air Quality Information ‘Ecosystem’ (Draft for Feedback)
The document discusses current and future systems for air quality information. It describes how data is currently produced and provided by different agencies without interoperability. It proposes a future integrated system where data is exposed through portals, mediators uniformly wrap data and provide processing services, and analysts can program services to create customized products. It also describes the DataFed approach which uses mediation to provide uniform access to distributed air quality data from different providers.
Energy-Environment Analysis Framework 3
This document discusses frameworks for analyzing the relationships between human activities, economic development, and environmental impacts. It presents three frameworks:
1) A sensory-motor feedback loop from system science that links human activities and their consequences in a closed loop system.
2) A biogeochemical cycling loop from materials balance that looks at the minimum set of linked components needed for a system.
3) A causality loop from social-material science that examines how each system component depends on upstream drivers and the external environment.
Catt Tutorial
http://capitawiki.wustl.edu/index.php/20050110_Combined_Aerosol_Trajectory_Tool%2C_CATT_Illustrated_Instruction_Manual
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2005-01-18 Combined Aerosol Trajectory Tool, CATT Illustrated Instruction Manual
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2004-10-14 AIR-257: Satellite Detection of Aerosols
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2004-10-09 MANE-VU Status Report on CATT and FASTNET
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110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
110421 exploration of_pm_networks_and_data_over_the_us-_aqs_and_views
2003-10-10 Measurement of free iron content in desert dust : effect on light ...
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2005-05-11 Current Air Quality Information ‘Ecosystem’ (Draft for Feedback)
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The document discusses current and future systems for air quality information. It describes how current data is siloed across different providers and formats. A future integrated system is proposed where data is exposed through portals, mediators provide uniform access, and analysts can program services to create customized products from the distributed data resources. The infrastructure could be provided by ESIPFed and shared responsibility models between data providers and integrators.
070416 Egu Vienna Husar
The document discusses how networking and distributed systems can multiply the value of data and information by enabling greater access, sharing and novel combinations. It provides examples of how atmospheric science data from different sources has been federated through systems like DataFed to provide unified access and generate new integrated products and insights. While such approaches offer opportunities, challenges around overcoming resistances to more open sharing and networking remain.
2006-03-14 WG on HTAP-Relevant IT Techniques, Tools and Philosophies: DataFed...
The document discusses the need for integrated air quality information systems and proposes a federated approach using web services and open standards. Key points:
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060314 Ispra Htap Presentations Husar 060314 Ispra
http://capitawiki.wustl.edu/index.php/20060314_Work_Group_Meeting_on_HTAP-Relevant_IT_Techniques%2C_Tools_and_Philosophies:_DataFed_Experience_and_Perspectives
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.
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2005-03-29 Web Services: ES Rationale and Assertions
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Srds Pres011120
http://capitawiki.wustl.edu/index.php/20041113_Supersite_Relational_Database_Project:_%28Data_Portal%3F%29
2004-11-13 Supersite Relational Database Project: (Data Portal?)
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Web Services Emissions 2006 Falke
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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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Why Data Virtualization? An Introduction by Denodo
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Cross Domain Data Fusion
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2) It reviews literature on data fusion definitions, implementations, and techniques for handling data conflicts. Common steps in data fusion are data transformation, schema mapping, and duplicate detection.
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HIGH-IMPACT USE CASES POWERED BY NEXT-GENERATION NETWORK ANALYTICS
The advent of hybrid clouds, multi clouds and app driven business models hasnecessitated a network that has to be robust, secure and scalable to meet rapidly changing business expectations.
Requirment anlaysis , application, device, network requirements
This document discusses application requirements for computer networks. It defines application requirements as requirements determined from application information, experience, or testing that represent what is needed by applications. It provides examples of different types of application requirements like web page requests, database transactions, messaging protocols, and API calls. It also discusses how to classify applications based on service and performance requirements into categories like mission-critical, rate-critical, and real-time/interactive applications. Finally, it describes the different tiers in an application system including the web, application, and database tiers.
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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.
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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.
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.
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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.
AQ GCI Infrastructure
The document discusses several air quality applications and projects including regulatory exception events, hemispheric transport modeling, 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 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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Ws For Aq
- 2. Web Services for Air Quality Management
- 3. IT needs and Capabilities: Web Services Community interaction during events through virtual workgroup sites; quantitative now-casting and observation-augmented forecasting Smoke event summary and forecast suitably packaged and delivered for agency and public decision makers Uncoordinated event monitoring, serendipitous and limited analysis. Event summary by qualitative description and illustration Smoke event summary and forecast for managers (air quality, aviation safety) and the public Services linking tools Service chaining languages for building web applications; Data browsers, data processing chains; Tools for navigating spatio-temporal data; User-defined views of the smoke; Conceptual framework for merging satellite, surface and modeling data Most tools are personal, dataset specific and ‘hand made’ Analysis tools for data browsing, fusion and data/model integration Web services for data registration, geo-time-parameter referencing, non-intrusive addition of ad hoc data; communal tools for data finding, extracting Agents (services) to seamlessly access distributed data and provide uniformly presented views of the smoke. Human analysts access a fraction of a subset of qualitative satellite images and some surface monitoring data, Limited real-time data downloaded from providers, extracted, geo-time-param-coded, etc. by each analyst Real-time access to routine and ad-hoc fire, smoke, transport data/ and models How to get there New capabilities Current state IT need vision
- 7. Generic Data Flow and Processing for Browsing DataView 1 Data Processed Data Portrayed Data Process Data Portrayal/ Render Abstract Data Access View Wrapper Physical Data Abstract Data Physical Data Resides in autonomous servers; accessed non-intrusively by data and view-specific wrappers Abstract Data Abstract data slices are requested by viewers; uniform data are delivered by wrapper services DataView 2 DataView 3 View Data Processed data are delivered to the user as multi-layer views by portrayal and overlay web services Processed Data Data passed through filtering, aggregation, fusion and other processing web services