0411 Spec Nat Assess
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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.
Exceptional Event Decision Support System Description
This slideshow is a brief description of the Exceptional Event Decision Support System Description (EE DSS).
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...
The document discusses biomass smoke emissions and transport patterns in North America as analyzed using satellite and surface data. Key findings include:
- Four main fire zones were identified based on fire size and distribution: Northern, Northwestern, Southeastern, and Mexican.
- Peak fire seasons vary by region, from December to February in Mexico to June to August in Northern Canada and Northwest US.
- Smoke emission and concentration patterns were measured and modeled using various data sources and models. Near-source and distant smoke transport patterns were estimated.
- Characterizing smoke fully requires describing multiple properties including location, time, particle size, composition, shape, and mixtures - a challenge given sparse measurement data.
2003-09-28 The BigSmoke in New England, July 2002
This document summarizes observations of a large smoke plume that transported smoke from Quebec wildfires to New England in July 2002. Satellite images from MODIS, SeaWiFS, GOES and TOMS show the smoke moving from Quebec across Canada and the eastern US between June 25th and July 11th. Surface observations from ASOS, webcams and METAR stations also detected increased haze and lower visibility in the path of the smoke plume. Regional air quality models simulated the transport of the smoke.
2005-01-08 MANE-VU Status Report on CATT and FASTNET
CATT and FASTNET are inter-RPO projects that provide tools for analyzing aerosol and trajectory data. They have been integrated into the DataFed.Net infrastructure, which provides a variety of web-based applications and data catalogs for accessing, viewing, analyzing, and interpreting fast, current, and slow aerosol and meteorological data.
Geoss Arch Schem 080326rbh
The document discusses the Global Earth Observation System of Systems (GEOSS) architecture for the air quality community. It describes how the architecture links together various components, including GEOSS registries, catalogs, portals, and services to facilitate access to and sharing of earth observation data. The architecture is designed to build on existing systems and accommodate new components over time to provide more comprehensive and coordinated access to air quality data.
2008-04-15 EGU Mtg Vienna Exceptional Events
The document discusses methods for justifying the exclusion of air quality monitoring data influenced by exceptional events such as wildfires. It presents evidence needed to designate data as influenced by an exceptional event, including showing a likely standard exceedance, that the event was uncontrollable, a clear causal relationship between the event and the data, excess over normal values, and that the exceedance would not have occurred without the event. It then gives an example of applying these methods to analyze the influence of 2007 wildfires in Georgia on air quality data.
2004-11-18 Multi-Sensory Detection of Agricultural Smoke
This document discusses using satellite imagery to detect agricultural smoke pollution. It describes an algorithm to calculate aerosol optical thickness from SeaWiFS satellite data. A case study is presented analyzing smoke over Kansas from agricultural burning on April 10-13, 2003. Surface PM2.5 measurements are compared to the satellite-derived aerosol optical thickness values to correlate smoke pollution levels.
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.
2005-04-01 Carbonaceous Aerosol and Smoke over the Eastern US
1. The document analyzes carbonaceous aerosol and smoke patterns over eastern North America using data from surface and satellite observations.
2. Smoke from biomass burning constitutes a significant component of fine particulate matter over North America, particularly in summer, but its spatial and temporal patterns are not fully understood.
3. The analysis aims to better characterize the sources, distribution, and composition of smoke through an integrated assessment of literature and recent observation data.
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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
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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.
2003-10-14 Integrated SOx Emission Trend Estimation for the Sustainability Tr...
This document discusses trends in sulfur oxide (SOx) emissions and the drivers of changes over time. It analyzes SOx emissions using a linear causality model with four key drivers: population, economy, energy usage, and emission factors. Since the 1970s, SOx emissions have declined as downward drivers like improved energy efficiency and lower emission factors have dominated over upward drivers like population and economic growth. The causality relationships between these drivers are complex and can be represented with dynamic transfer matrix models. Current industrial sulfur demand is now met primarily through sulfur recovery from fuels and minerals rather than direct mining.
2004-10-14 AIR-257: Satellite Detection of Aerosols Issues and Opportunities
This document summarizes a professional development course on satellite detection of aerosols. The course covers introduction to satellite aerosol monitoring, different satellite types and their usage, detecting aerosol events like fires and dust storms from satellites. It also discusses using satellite data and tools for air quality management, and issues around data retrieval over bright surfaces like clouds that can limit available data. Vertical profiles of different types of aerosols are shown. Examples of using satellite data to monitor smoke plumes are provided. Open questions around distinguishing aerosols and clouds are discussed.
2004-01-21 Continental-Scale Transport of Air Pollutants
This document discusses continental-scale transport of air pollutants across North America. Fine particulate matter can remain in the atmosphere for weeks and be transported over large regions. Major sources of particulate matter include windblown dust, volcanic emissions, industrial aerosols, and smoke from fires. Satellite data shows episodes of transport from Asia, Africa, and Central America impacting air quality over North America. International cooperation is needed to monitor and address transboundary pollution issues.
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2003-12-10 Global and Local Dust/Smoke over the US
2003-12-10 Global and Local Dust/Smoke over the US
Exceptional Event Decision Support System Description
Exceptional Event Decision Support System Description
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...
2003-10-15 Biomass Smoke Emissions and Transport: Community-based Satellite a...
2005-01-08 MANE-VU Status Report on CATT and FASTNET
2005-01-08 MANE-VU Status Report on CATT and FASTNET
2004-11-18 Multi-Sensory Detection of Agricultural Smoke
2004-11-18 Multi-Sensory Detection of Agricultural Smoke
2005-04-01 Carbonaceous Aerosol and Smoke over the Eastern US
2005-04-01 Carbonaceous Aerosol and Smoke over the Eastern US
2004-06-24 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET Proj...
2004-06-24 Fast Aerosol Sensing Tools for Natural Event Tracking FASTNET Proj...
2003-10-14 Integrated SOx Emission Trend Estimation for the Sustainability Tr...
2003-10-14 Integrated SOx Emission Trend Estimation for the Sustainability Tr...
2004-10-14 AIR-257: Satellite Detection of Aerosols Issues and Opportunities
2004-10-14 AIR-257: Satellite Detection of Aerosols Issues and Opportunities
2004-01-21 Continental-Scale Transport of Air Pollutants
2004-01-21 Continental-Scale Transport of Air Pollutants
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