Access, Visualization, and Interoperability of Air Quality Remote Sensing Data Sets via the Giovanni Online Tool

This paper describes the air quality data products and services available through Giovanni, a web based tool for access, visualization, and analysis of satellite remote sensing products, and also model output and surface observations relevant to global air quality. Available datasets include total column aerosol measurements from numerous satellite instruments, column NO2 and SO2, vertical aerosol products from CALIPSO, surface PM2.5 concentrations over the continental U.S, and speciated model Aerosol Optical Depth. Giovanni was designed to make satellite and ground-based data easier to use; it does not require separate access to or downloading of data sets, making the visualizations and analysis services accessible to both the novice and the experienced user. Giovanni air quality data products are provided on a common grid and can also be obtained in KMZ format for Google Earth visualization. This feature allows collocation of datasets to aid in analysis of pollution events and to facilitate satellite/monitor comparisons and aerosol intercomparison studies in a fraction of the time compared to traditional methods. Giovanni also supports multiple interoperability protocols which permit data sharing with other online tools, in order to enhance access to the datasets for improved air quality decision making. The Giovanni team is currently actively involved in several data networking initiatives with service oriented tools at other institutions such as DataFed.

[1]  George M Hidy,et al.  Remote Sensing of Particulate Pollution from Space: Have We Reached the Promised Land? , 2009, Journal of the Air & Waste Management Association.

[2]  Teruyuki Nakajima,et al.  Tropospheric aerosol optical thickness from the GOCART model and comparisons with satellite and sun photometer measurements , 2002 .

[3]  Menghua Wang,et al.  Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective , 2009 .

[4]  Gregory G. Leptoukh,et al.  Online analysis enhances use of NASA Earth science data , 2007 .

[5]  Pavlos S. Kanaroglou,et al.  The sensitivity of OMI-derived nitrogen dioxide to boundary layer temperature inversions , 2009 .

[6]  D. Chu,et al.  Improving National Air Quality Forecasts with Satellite Aerosol Observations , 2005 .

[7]  Martine Rutten,et al.  Spatial downscaling of TRMM precipitation using vegetative response on the Iberian Peninsula , 2009 .

[8]  Lorraine Remer,et al.  A Critical Look at Deriving Monthly Aerosol Optical Depth From Satellite Data , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[9]  E. Vermote,et al.  The MODIS Aerosol Algorithm, Products, and Validation , 2005 .

[10]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[11]  J. Veefkind,et al.  Validation of Ozone Monitoring Instrument nitrogen dioxide columns , 2008 .

[12]  Sundar A. Christopher,et al.  Aerosol optical thickness and PM 2 . 5 1 Intercomparison between Satellite-Derived Aerosol Optical Thickness and PM 2 , 2003 .

[13]  Keith D. Hutchison,et al.  Improving correlations between MODIS aerosol optical thickness and ground-based PM2.5 observations through 3D spatial analyses , 2008 .

[14]  D. Jacob,et al.  Mapping annual mean ground‐level PM2.5 concentrations using Multiangle Imaging Spectroradiometer aerosol optical thickness over the contiguous United States , 2004 .

[15]  R. Martin,et al.  Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing , 2006 .

[16]  Shobha Kondragunta,et al.  GOES Aerosol/Smoke Product (GASP) over North America: Comparisons to AERONET and MODIS observations , 2007 .

[17]  D. Dockery,et al.  Health Effects of Fine Particulate Air Pollution: Lines that Connect , 2006, Journal of the Air & Waste Management Association.

[18]  Aijun Chen,et al.  Visualization of A-Train vertical profiles using Google Earth , 2009, Comput. Geosci..

[19]  Joseph P. Pinto,et al.  Ground-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument , 2008 .

[20]  Jun Wang,et al.  Satellite remote sensing of particulate matter and air quality assessment over global cities , 2006 .

[21]  Brittany McClure,et al.  Validation of SO2 Retrievals from the Ozone Monitoring Instrument over NE China , 2008 .

[22]  Raymond M Hoff,et al.  Application of Satellite Remote-Sensing Data for Source Analysis of Fine Particulate Matter Transport Events , 2005, Journal of the Air & Waste Management Association.

[23]  William L. Smith,et al.  AIRS: Improving Weather Forecasting and Providing New Data on Greenhouse Gases. , 2006 .

[24]  E. Vermote,et al.  Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance , 2007 .

[25]  Mian Chin,et al.  Atmospheric Aerosol Properties and Climate Impacts , 2009 .

[26]  D. Jacob,et al.  Estimating ground-level PM2.5 in the eastern United States using satellite remote sensing. , 2005, Environmental science & technology.

[27]  S. Christopher,et al.  Remote Sensing of Particulate Pollution from Space: Have We Reached the Promised Land? , 2009, Journal of the Air & Waste Management Association.

[28]  Sundar A. Christopher,et al.  Global Monitoring and Forecasting of Biomass-Burning Smoke: Description of and Lessons From the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program , 2009, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[29]  Frank E. Hoge,et al.  Interaction of Hurricane Katrina With Optically Complex Water in the Gulf of Mexico: Interpretation Using Satellite-Derived Inherent Optical Properties and Chlorophyll Concentration , 2009, IEEE Geoscience and Remote Sensing Letters.

[30]  Menas Kafatos,et al.  Transport of dust and anthropogenic aerosols across Alexandria, Egypt , 2009 .

[31]  George Percivall,et al.  DataFed: An Architecture for Federating Atmospheric Data for GEOSS , 2008, IEEE Systems Journal.

[32]  Gregory Leptoukh,et al.  Giovanni: A Web Service Workflow-Based Data Visualization and Analysis System , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[33]  P. Levelt,et al.  Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overview , 2007 .

[34]  S. Christopher,et al.  Multi year satellite remote sensing of particulate matter air quality over Sydney, Australia , 2007 .

[35]  Brian Cairns,et al.  Toward unified satellite climatology of aerosol properties : What do fully compatible MODIS and MISR aerosol pixels tell us? , 2008 .

[36]  Kim Richardson,et al.  A TWO-YEAR ANALYSIS OF FIRE ACTIVITY IN THE WESTERN HEMISPHERE AS OBSERVED WITH THE GOES WILDFIRE AUTOMATED BIOMASS BURNING ALGORITHM , 2002 .

[37]  Arlin J. Krueger,et al.  Sulfur dioxide emissions from Peruvian copper smelters detected by the Ozone Monitoring Instrument , 2007 .

[38]  Rudolf B. Husar,et al.  DATAFED AND FASTNET: TOOLS FOR AGILE AIR QUALITY ANALYSIS , 2006 .