NDLI: The Added Value of a Proposed Satellite Imager for Ground Level Particulate Matter Analyses and Forecasts

Content Provider	IEEE Xplore Digital Library
Author	Timmermans, R.M.A. Segers, A.J. Builtjes, P.J.H. Vautard, R. Siddans, R. Elbern, H. Tjemkes, S.A.T. Schaap, M.
Copyright Year	2008
Abstract	Monitoring aerosols over wide areas is important for the assessment of the population's exposure to health relevant particulate matter (PM). Satellite observations of aerosol optical depth (AOD) can contribute to the improvement of highly needed analyzed and forecasted distributions of PM when combined with a model and ground-based observations. In this paper, we evaluate the contribution of column AOD observations from a future imager on a geostationary satellite by performing an Observing System Simulation Experiment (OSSE). In the OSSE simulated imager, AOD observations and ground-based PM observations are assimilated in the chemistry transport model LOTOS-EUROS to assess the added value of the satellite observations relative to the value of ground-based observations. Results show that in highly polluted situations, the imager AOD observations improve analyzed and forecasted PM2.5 concentrations even in the vicinity of simultaneously incorporated ground-based PM observations. The added value of the proposed imager is small when considering monthly averaged PM distributions. This is attributed to relatively large errors in the imager AODs in case of background aerosol loads coupled to the fact that the imager AODs are column values and an indirect estimate of PM. In the future, model improvements and optimization of the assimilation system should be achieved for better handling of situations with aerosol plumes above the boundary layer and satellite observations containing aerosol profile information. With the suggested improvements, the developed OSSE will form a powerful tool for determining the added value of future missions and defining requirements for planned satellite observations.
Starting Page	271
Ending Page	283
Page Count	13
File Size	1964277
File Format	PDF
ISSN	19391404
Volume Number	2
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atmospheric modeling Satellites Data models Aerosols Weather forecasting Predictive models satellites forecasting observing system simulation experiment particulate matter
Content Type	Text
Resource Type	Article
Subject	Atmospheric Science Computers in Earth Sciences

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Use of Satellite-Derived Aerodynamic Roughness for Improved Meteorological and Atmospheric Transport Modeling

CloudSat and the EOS constellation

Use of Earth Observing System Data in Weather Forecasting

Analysis of satellite scatterometer data and its impact on weather forecasting

Satellite-to-irradiance modeling - a new version of the SUNY model

Weather prediction improvement using advanced satellite technology

Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation

Big Data and Machine Learning for Applied Weather Forecasts: Forecasting Solar Power for Utility Operations

NASA's global precipitation mission ground validation segment

The Added Value of a Proposed Satellite Imager for Ground Level Particulate Matter Analyses and Forecasts

Similar Documents

Use of Satellite-Derived Aerodynamic Roughness for Improved Meteorological and Atmospheric Transport Modeling

CloudSat and the EOS constellation

Use of Earth Observing System Data in Weather Forecasting

Analysis of satellite scatterometer data and its impact on weather forecasting

Satellite-to-irradiance modeling - a new version of the SUNY model

Weather prediction improvement using advanced satellite technology

Reducing Need for Collocated Ground and Satellite based Observations in Statistical Aerosol Optical Depth Estimation

Big Data and Machine Learning for Applied Weather Forecasts: Forecasting Solar Power for Utility Operations

NASA's global precipitation mission ground validation segment

The Added Value of a Proposed Satellite Imager for Ground Level Particulate Matter Analyses and Forecasts