2004-10-15 SHAirED: Services for Helping the Air-quality Community use ESE Data
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The document describes the SHAirED project which aims to develop web services and applications to help users access and analyze air quality data from NASA, EPA, and other sources. The project will create data access services, processing tools, and a way to combine services to build customized applications. A key goal is to advance existing data sharing infrastructure called DataFed to higher levels of technological readiness.
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![NASA REASoN Project SHAirED: S ervices for H elping the Air -quality Community use E SE D ata Stefan Falke, Kari Höijärvi and Rudolf Husar, Washington University, St. Louis Description & Objectives Approach Partners: NASA-Langley, EPA-OAQPS, RPOs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],October 2004 Applications – Integration of satellite imagery with surface data and model output in air quality research and management, such as real-time aerosol tracking and smoke management](https://image.slidesharecdn.com/20041015-shaired-services-for-helping-the-airquality-community-use-ese-data-3496/85/2004-10-15-SHAirED-Services-for-Helping-the-Air-quality-Community-use-ESE-Data-1-320.jpg)
![NASA REASoN Project SHAirED: S ervices for H elping the Air -quality community use E SE D ata Stefan Falke, Kari Höijärvi and Rudolf Husar, Washington University in St. Louis October 2004 ,[object Object],[object Object],[object Object],[object Object],[object Object],Objective: Deliver and use Earth Science Enterprise (ESE) data and tools in support of particulate air quality management and develop a federated AQ information sharing network that includes data from NASA, EPA, and US States. DataFed provides the web infrastructure that supports collaborative atmospheric data sharing and development of processing web services. A primary objective of SHAirED is to develop new IT that advances the TRL of DataFed. Web Application ,[object Object],[object Object],[object Object],Approach:](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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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.
PlanetData: Consuming Structured Data at Web Scale
PlanetData project was presented by Elena Simperl and Barry Norton from Karlsruhe Institute of Technology at the 1st International Symposium on Data-driven Process Discovery and Analysis on June 30, 2011 in Campione d’Italia, Italy
Planetdata simpda
The document summarizes the PlanetData project, which aims to establish an interdisciplinary community for managing large-scale structured data on the web. Its objectives include addressing challenges through integrated research, providing data and technology through a lab, and having impact through training, standards, and networking. The work plan highlights include publishing and managing streaming data, assessing linked data quality, and developing applications using linked services and processes.
Debbie Wilson: Deliver More Efficient, Joined-Up Services through Improved Ma...
Improved data management and sharing through the use of harmonized data specifications and open standards can enable organizations to deliver services more efficiently with reduced costs. Specifications like INSPIRE define common modeling approaches for environmental data that allow data to be joined from different sources. Case studies show how the Met Office and Land Registry leveraged such standards to build new data services quickly and transform legacy systems. Adopting modular, model-driven approaches facilitates the rapid development and deployment of applications to meet new business and user needs.
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.
Dublinked tech workshop_15_dec2011
The document provides an overview of the Dublinked Technology Workshop held on December 15th, 2011. It includes presentations on transportation data, spatial web services, linked data, and semantic data description. Breakout sessions covered topics like data publishing, discovery, web services, and advanced functions. The workshop aimed to address challenges around sharing digital data between organizations and discussed technical requirements and tools to support open government data platforms.
Grid computing
In computing, It is the description about Grid Computing.
It gives deep idea about grid, what is grid computing? , why we need it? , why it is so ? etc. History and Architecture of grid computing is also there. Advantages , disadvantages and conclusion is also included.
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?)
The document discusses the design of a relational database system called the Supersite Relational Data System (SRDS) that would integrate air quality monitoring data from multiple Supersite projects and auxiliary datasets for cross-site analysis. It proposes using a star schema with dimensions for time, location, parameter, and method to facilitate querying and comparisons across different monitoring sites and projects. The schema would be extended as needed based on user requirements and consensus-building within the Supersite working groups.
Unidata's Approach to Community Broadening through Data and Technology Sharing
Unidata's Approach to Community Broadening through Data and Technology SharingThe HDF-EOS Tools and Information Center
Unidata provides data services, tools, and cyberinfrastructure to advance Earth system science and broaden participation in the geosciences. It was created through a grassroots effort and is funded by the NSF and UCAR. Unidata's work is driven by science, education, technology, and social needs. It provides real-time data from various sources to over 260 sites worldwide and develops standards like netCDF and services like THREDDS to facilitate data sharing and access. Unidata is working to broaden its community through international collaborations and empowering users around the world.Centralized Data Verification Scheme for Encrypted Cloud Data Services
Cloud environment supports data sharing between multiple users. Data integrity is violated
due to hardware / software failures and human errors. Data owners and public verifiers are involved to
efficiently audit cloud data integrity without retrieving the entire data from the cloud server. File and
block signatures are used in the integrity verification process.
“One Ring to RUle Them All” (Oruta) scheme is used for privacy-preserving public auditing process. In
oruta homomorphic authenticators are constructed using Ring Signatures. Ring signatures are used to
compute verification metadata needed to audit the correctness of shared data. The identity of the signer
on each block in shared data is kept private from public verifiers. Homomorphic authenticable ring
signature (HARS) scheme is applied to provide identity privacy with blockless verification. Batch
auditing mechanism supports to perform multiple auditing tasks simultaneously. Oruta is compatible
with random masking to preserve data privacy from public verifiers. Dynamic data management process
is handled with index hash tables. Traceability is not supported in oruta scheme. Data dynamism
sequence is not managed by the system. The system obtains high computational overhead
The proposed system is designed to perform public data verification with privacy. Traceability features
are provided with identity privacy. Group manager or data owner can be allowed to reveal the identity of
the signer based on verification metadata. Data version management mechanism is integrated with the
system.
2005-03-29 Web Services: ES Rationale and Assertions
The document discusses web services as a technology for building distributed applications and sharing resources over a network. It describes how web services allow data, services, and users to be distributed throughout a peer-to-peer network. Users can compose processing chains from reusable services to add value to data. This architecture helps users find and access resources while reducing their burden. The document also discusses some challenges with using web services, such as inadequate service catalogs and a lack of semantic interoperability.
2004-09-12 Data and Tools for Web-Based Monitoring and Analysis
The document discusses the DataFed infrastructure, which integrates distributed fire-related and air quality data sources to provide new insights. It provides access to dozens of aerosol, emissions, fire, meteorology, and GIS datasets. DataFed uses web services and a service-oriented architecture to facilitate data sharing and allow users to perform customized analyses across different datasets.
2008-02-11: EPA DataFed Presentation
The document discusses integrating air quality and pollution data from different sources using standards-based networking approaches. It describes the DataFed system, which allows non-intrusive integration of diverse data types from local, regional and global sources through web services and reusable components. The summary highlights that DataFed has been applied to EPA policy and science needs but more collaboration is still needed to fully connect heterogeneous data sources and enable new insights.
grid mining
The document discusses grids and their potential use for data mining applications in Earth science. Some key points:
- Grids can connect distributed computing and data resources to enable large-scale applications and collaboration.
- The Grid Miner application was developed to mine satellite data on NASA's Information Power Grid as a demonstration.
- Grids could help couple satellite data archives to computational resources, allowing users to process large datasets.
- For this to be realized, data archives need to be connected to grids and tools developed to enable scientists to access and analyze data.
A Reconfigurable Component-Based Problem Solving Environment
This technical report describes a reconfigurable component-based problem solving environment called DISCWorld. The key features discussed are:
1) DISCWorld uses a data flow model represented as directed acyclic graphs (DAGs) of operators to integrate distributed computing components across networks.
2) It supports both long running simulations and parameter search applications by allowing complex processing requests to be composed graphically or through scripting and executed on heterogeneous platforms.
3) Operators can be simple "pure Java" implementations or wrappers to fast platform-specific implementations, and some operators may represent sub-graphs that can be reconfigured to run across multiple servers for faster execution.
A new approach to gather similar operations extracted from web services
A web service is an autonomous software that exposes a set of features on the Internet, it is developed and published by providers and accessed by customers who discover it, select it, invoke and use it. Several research policies have been implemented such as searching through keywords, searching according to semantics and searching by estimating the similarity. A customer is looking for a service for the operations he/she carries out, hence the interest of guiding the search for services towards a search for operations: finding the desired operations amounts to finding the services. For this, groupings of similar operations would make it possible to obtain all the services that can meet the desired functionalities. The customer can then select, in this set the service or services according to its non-functional criteria. The paper presents a study of the similarity between operations. The proposed approach is validated through an experimental study conducted on web services belonging to various domains.
IRJET- A Workflow Management System for Scalable Data Mining on Clouds
1. The document discusses a workflow management system for scalable data mining on clouds. It proposes using MapReduce and Hadoop frameworks to parallelize k-means clustering of large datasets on cloud infrastructure.
2. The system aims to improve efficiency, security, and transmission speed over existing cloud systems by generating hash codes for files before classification and storage on cloud. It uses deduplication to avoid redundant uploads.
3. The document outlines the system implementation including user modules for registration, login, profile editing, training data upload, file upload and download while avoiding redundancy, and changing/logging out of passwords. It also discusses testing the system functionality using unit testing libraries.
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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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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.
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.
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.
120612 geia closure_ofeo_ms_soa_subm
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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- 3. Wrappers Turn data access into services Web Services Reusable, chainable ‘Lego’ software blocks Chaining Applications from loosely coupled blocks
- 6. Generic Data Flow and Processing for Analysis Multi-Dimensional Data Model DataView 1 Physical Data 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