061018 Sea Wi Fs Work
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The document discusses the challenge of characterizing particulate matter using remote sensing data due to the complex and multidimensional nature of aerosols. It presents results from using SeaWiFS satellite data combined with surface observations to characterize aerosols over the US from 2000-2003. Specific cases studied include quantifying smoke emissions from agricultural fires in Kansas in 2003 by analyzing the optical thickness and shape of smoke plumes. Summer climatologies of aerosol optical thickness over the US from 2000-2004 are also shown.
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El documento habla sobre la importancia de construir una vida de manera cuidadosa y con buenos cimientos, evitando errores que podrían llevar a una vida de sufrimiento o incluso a la muerte. Recomienda cuidarse a sí mismo, hacer deporte y rodearse de buenas personas para construir una vida de alegría y solidaridad en lugar de una cruz.
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El documento presenta las nuevas características de Microsoft Office 2007, incluyendo una nueva interfaz de usuario con pestañas contextuales y galerías, un nuevo formato de archivo XML abierto basado en Office Open XML, y nuevos servidores y servicios como SharePoint Server y Excel Services.
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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.
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The document discusses a celebration of four Catholic saints - Saint Paul, Saint Peter, Saint Antony, and Saint John - that takes place in Switzerland. It includes traditional games, foods like popcorn and apples, symbols like bonfires and fireworks, and music. The celebration is now open to anyone and seen as an opportunity for community and family interaction.
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This document discusses the challenges of integrating heterogeneous air quality information systems from different autonomous providers. It proposes that a loosely coupled, service-oriented architecture using standard protocols and web services can help deliver consolidated air quality data and products to diverse users. Specifically, the DataFed system developed by EPA homogenizes distributed data and allows customized analysis and reporting while respecting the autonomy of existing data systems. Overcoming organizational differences and encouraging collaboration will help further align existing stars in air quality informatics.
Convergence
Cell phones, MP3 players, GPS devices, and computers are converging, with many devices now offering multiple functions like internet access, maps, touch screens, video playback, and compatibility with digital media players through a single device. Home technologies are also converging, with devices connecting to the internet and each other. Cars of the future may be powered by hydrogen fuel cells or solar energy and include advanced artificial intelligence.
060525AGU_ESSI CAPITA Poster
The document discusses applying OGC specifications to air quality data services to make multi-dimensional, multi-source data interoperable. Air quality data from various sensors and sources is organized into tables capturing station information, parameters, and observations. This data can be served using OGC specifications like WFS, SOS, WCS, and WMS to enable standardized access and visualization of air quality data in multiple formats.
Development Week 4
The document provides tips for developing ideas through sustained exploration and experimentation with materials and processes. It recommends trying different approaches such as changing the scale of work, responding to other artists, using different materials, and trial and error to further ideas. The overall message is that sustained investigation and testing different techniques can help artists develop their work.
Pestalossi Sin Animacion
Johann Heinrich Pestalozzi fue un pedagogo suizo que vivió de 1746 a 1827. Fundó escuelas para niños pobres donde combinaban el aprendizaje académico con el trabajo manual. Creía en la educación popular e igualitaria y que los niños debían educarse de acuerdo a sus capacidades naturales a través de la intuición y la experiencia. Sus ideas revolucionaron la pedagogía y la escuela moderna.
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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The document discusses various artists and artworks that explore different types of boundaries, including boundaries of color, space, relationships, acceptance, people, culture, and freedom. It mentions Piet Mondrian, Anish Kapoor, Zoë Dorelli, Richard Long, Shirin Neshat, Nan Goldin, Grayson Perry, and Yukinori Yanagi. The reader is asked to pick one artist they have seen or are familiar with to discuss how that artist's work could help develop their own work further.
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Ejemplo de Portafolio Electrónico, creado por Carolina, alumna de 6º año A, Escuela Coeducacional Nº 1, El Salvador.
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http://capitawiki.wustl.edu/index.php/20041014_AIR-257:_Satellite_Detection_of_Aerosols_Concepts_and_Theory
2004-10-14 AIR-257: Satellite Detection of Aerosols Concepts and Theory
The document summarizes a course on detecting aerosols using satellites. The course covers:
1) Introduction to satellite aerosol detection, different satellite types and their usage.
2) How satellites detect aerosol events like fires, dust storms and haze.
3) Using satellite data to study aerosols for projects like analyzing their fast response to changing environmental conditions.
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2004-10-03 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
The document discusses a method for co-retrieving aerosol and surface reflectance from daily SeaWiFS satellite data from 2000-2002. It describes preprocessing the raw satellite data, identifying preliminary clear days using a time series analysis approach, and further refining the surface reflectance estimates and removing residual haze through spectral analysis. Results show seasonal surface reflectance maps for the eastern and western US and an 8-month animation of the retrieved data.
2004-06-24 Co-retrieval of Aerosol and Surface Reflectance: Analysis of Daily...
The document summarizes a method for co-retrieving aerosol and surface reflectance from daily SeaWiFS satellite data from 2000-2002. It describes how aerosols scatter and absorb incoming radiation, obscuring the surface reflectance detected by the sensor. The method uses a time series analysis to identify clear "anchor" days with minimal aerosol scattering to retrieve the surface reflectance. It then uses a radiative transfer model along with the surface reflectance values to iteratively retrieve the aerosol optical thickness and refine the surface reflectance estimates. Results show seasonal changes in surface reflectance over eastern and western US regions.
2005-02-01 Co-Retrieval of Aerosol Color and Surface Color from SeaWiFS Satel...
The document discusses a method for simultaneously retrieving aerosol optical properties and aerosol-free surface reflectance from satellite images. SeaWiFS satellite data is used to co-retrieve the aerosol optical thickness and surface reflectance over land and ocean pixels. Iterative procedures are used to separate the effects of aerosols and surfaces on measured reflectance. Preliminary results over the northeastern US demonstrate the ability to map aerosol patterns and correct surface reflectance for aerosol effects.
Co Retriaval2
http://capitawiki.wustl.edu/index.php/20050201_Co-Retrieval_of_Aerosol_Color_and_Surface_Color_from_SeaWiFS_Satellite_Images
Direct_retrieval_of_isoprene_from_satellite-based_.pdf
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Retrieval & monitoring of atmospheric green house gases (gh gs) through remot...
- Heavier precipitation and longer/more intense droughts are effects of climate change.
- Satellite measurements of greenhouse gases like CO2, CH4, N2O can provide global coverage but require complex retrieval algorithms to account for atmospheric conditions.
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Madagascar2011 - 07 - OTB radiometry processing
The document discusses radiometric corrections for remote sensing images. It describes how digital numbers are converted to top-of-atmosphere reflectance values using calibration coefficients and solar irradiance normalization. Atmospheric corrections are needed to estimate top-of-canopy reflectance and account for effects of gas absorption, scattering, and emission using a radiative transfer model like 6S. Parameters for the 6S model include viewing geometry, atmospheric properties, and spectral filter functions. Aerosol optical thickness can be obtained from Aeronet ground stations. Radiometric calibration is needed using reference reflectance panels.
050405 Epa Satellite
http://capitawiki.wustl.edu/index.php/20050606_Satellite_Data_Us_in_PM_Management:_A_Retrospective_Assessment
2005-06-06 Satellite Data Us in PM Management: A Retrospective Assessment
Satellite data has aided particulate matter science and management since the 1970s. Quantitative use of satellite data is still developing, requiring collaboration across disciplines. Satellite observations support describing spatial patterns of PM qualitatively and integrating surface and space data. Future applications may provide near real-time fire/smoke monitoring and multi-day PM/ozone forecasts to inform air quality management.
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.
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FR4.T05.1.ppt
The document describes an end-to-end simulator developed to model GNSS reflection signals from bare and vegetated soils. The simulator was validated using experimental data collected during the LEiMON project. The simulator fairly reproduced observed trends in the experimental data for various soil and vegetation conditions. It distinguishes between coherent and incoherent signal components, helping explain saturation effects seen in vegetation measurements. While some discrepancies remain, the simulator provides a useful tool for understanding GNSS reflection signals and predicting capabilities for aerospace applications.
Radiation dosimtery princicles
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Aerosol retrieval using modis data & rt code
This document summarizes information about aerosols including their sources, sizes, health effects, measurement techniques, and a methodology for satellite aerosol retrieval. It discusses using MODIS data at 500m resolution to estimate aerosol optical thickness over Hong Kong and compares the results to AERONET ground measurements. Key steps in the methodology include calculating top-of-atmosphere reflectance, accounting for Rayleigh scattering, surface reflectance, gas transmissions, and atmospheric effects to derive aerosol reflectance and optical thickness.
The shadow _of_the_flying_saucer_a_very_low_temperature_for_large_dust_grains
Os astrónomos usaram o ALMA e os telescópios do IRAM para fazer a primeira medição direta da temperatura dos grãos de poeira grandes situados nas regiões periféricas de um disco de formação planetária que se encontra em torno de uma estrela jovem. Ao observar de forma inovadora um objeto cujo nome informal é Disco Voador, os astrónomos descobriram que os grãos de poeira são muito mais frios do que o esperado: -266º Celsius. Este resultado surpreendente sugere que os modelos teóricos destes discos precisam de ser revistos.
Uma equipa internacional liderada por Stephane Guilloteau do Laboratoire d´Astrophysique de Bordeaux, França, mediu a temperatura de enormes grãos de poeira que se encontram em torno da jovem estrela 2MASS J16281370-2431391 na região de formação estelar Rho Ophiuchi, a cerca de 400 anos-luz de distância da Terra.
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Os astrónomos utilizaram o ALMA para observar o brilho emitido pelas moléculas de monóxido de carbono no disco da 2MASS J16281370-2431391. As imagens revelaram-se extremamente nítidas e descobriu-se algo estranho — em alguns casos o sinal recebido era negativo. Normalmente um sinal negativo é fisicamente impossível, mas neste caso existe uma explicação, que leva a uma conclusão surpreendente.
About The Importance Of The Definition Of Reflectance Quantities-Results Of C...
1) The document discusses the importance of properly defining reflectance quantities used in remote sensing studies. It notes inconsistencies in how terms like "albedo" have been used in different studies.
2) It summarizes definitions of key reflectance terms like BRDF, BRF, DHR, HDRF, and provides examples of measurable versus conceptual quantities.
3) Case studies are presented comparing modeling results for directional versus hemispherical reflectance quantities for a black spruce forest canopy and snow cover, as well as MISR satellite data products, to demonstrate differences between these reflectance definitions.
Nist talk greg_smestad_120617
Greg Smestad, Leonardo Micheli, Thomas Germer, and Eduardo Fernández presented research on characterizing the optical effects of soiling on PV glass and modules. They measured the transmission of glass coupons exposed outdoors at multiple locations over 8 weeks and found soiling reduced transmission more at shorter wavelengths. Particle area coverage on the coupons correlated linearly with reduced hemispherical transmittance. Angular measurements showed soiling impacts transmission more for direct light than hemispherical. The research aims to better understand how soiling impacts PV performance globally.
Optical Characterization of PV Glass Coupons and PV Modules Related to Soilin...
Optical Characterization of PV Glass Coupons and PV Modules Related to Soiling Losses,
Greg P. Smestad, Ph.D., Sol Ideas Technology Development
December 6th, 2017, 11:35 AM - 12:00 PM
Session 5: Characterization (Chair: Xiaohong Gu, NIST)
Atlas/NIST Workshop on PV Materials Durability
December 5-6, 2017, Gaithersburg, Maryland
National Institute of Standards and Technology, Gaithersburg, Maryland
https://www.nist.gov/el/mssd/agenda
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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.
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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.
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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.
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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.
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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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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
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061018 Sea Wi Fs Work
- 4. Aerosols Increase of Decrease the Surface Reflectance, f(P/R 0 ) Aerosols will increase the apparent surface reflectance, R, if P/R 0 < 1. For this reason, the reflectance of ocean and dark vegetation increases with τ. When P/R 0 > 1, aerosols will decrease the surface reflectance. Accordingly, the brightness of clouds is reduced by overlying aerosols. At P~ R 0 the reflectance is unchanged by haze aerosols (e.g. soil and vegetation at 0.8 um). . At large τ (radiation equilibrium), both dark and bright surfaces asymptotically approach the ‘aerosol reflectance’, P The critical parameter influencing the apparent reflectance, R, is the ratio of aerosol phase function (angular reflectance), P, to bi-directional surface reflectance, R 0 , (P/ R 0)
- 5. Haze Effect on Spectral Reflectance over Land The spectral reflectance of vegetation in the visible λ is low at 0.01<R 0 <0.1. Haze significantly enhances the reflectance in the blue but the haze excess in the near IR is small. This is consistent with radiative transfer theory of haze impact.
- 7. Kansas Agricultural Smoke, April 12, 2003 Fire Pixels PM25 Mass, FRM 65 ug/m3 max Organics 35 ug/m3 max Ag Fires SeaWiFS, Refl SeaWiFS, AOT Col AOT Blue
- 8. April 12, 2003 April 10, 2003 Kansas Smoke
- 9. Kansas Smoke Emission Estimation April 11: 87 T/day April 10: 1240 T/d Assuming Mass Extinction Efficiency: 5 m 2 /g April 11, 2003 Emission Estimate Fire Pixels Surface Observations Monte Carlo Diagnostic Local Model
- 13. Yesterday’s Smoke and Today’s Smoke Yesterday’s smoke is not in a plume “worm” shape and it has moved a distance Today’s smoke is distinct plumes
- 15. Satellite-Surface-Model Data Integration Smoke Emission Estimation e..g. MM5 winds, plume model Local Smoke Simulation Model AOT Aer. Retrieval Satellite Smoke Visibility, AIRNOW Surface Smoke Assimilated Smoke Pattern Continuous Smoke Emissions Assimilated Smoke Emission for Available Data Fire Pixel, Field Obs Fire Location Assimilated Fire Location Emission Model Land Vegetation Fire Model
- 16. Satellite Aerosol Optical Thickness Climatology SeaWiFS Satellite, Summer 2000 - 2003 20 Percentile 98 Percentile 90 Percentile 60 Percentile Smoke Sources 98 Percentile
- 18. Abstract The main scientific challenge in the study of particulate matter (natural or man made) is to understand the immense structural and dynamic complexity of the 6-dimensional aerosol system (X, Y, Z, T, Diameter, Composition). Each sensor/network covers only a limited fraction of the 8-D data space; some measure only a small subset of the PM pollution data and need extrapolating. Others provide broad integral measures of the aerosol system Satellites, for example, integrate over atmospheric height, particle size, composition, shape, and mixture dimensions. The interpretation of these integral data requires considerable de-convolution of the integral measures. Given its many dimensional properties, the aerosol system is largely self-describing. The analyst's challenge is to derive the pattern of dust, smoke, haze by filtering, aggregating and fusing the multidimensional data. The paper shows recent results of aerosol characterization using seven years of SeaWiFS-derived data over the US, along with companion surface observations along with surface PM chemical and physical data.