Difference between revisions of "DataFed NO2 Analysis"
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It is now possible to develop a chemical climatology (2004-7) of tropospheric NO2 based on routine daily satellite observations, such as those from OMI. Such data can aid the understanding of NO2 sources, atmospheric dynamics and potential impacts on human health and welfare. Fusion of satellite data, emission models, and surface concentration measurements allow a comprehensive understanding that is not possible from any single dataset. Visual analyses of the data highlight locations of power plants and non-industrial sources of NOx, such as wildfires. The daily time resolution of the OMI NO2 data allows the quantification of the weekday-weekend effect. The available OMI NO2 data and the results of NO2 models will allow a global-scale comparison. This new opportunity will permit the global-scale reconciliation of the models-emissions and observations. | It is now possible to develop a chemical climatology (2004-7) of tropospheric NO2 based on routine daily satellite observations, such as those from OMI. Such data can aid the understanding of NO2 sources, atmospheric dynamics and potential impacts on human health and welfare. Fusion of satellite data, emission models, and surface concentration measurements allow a comprehensive understanding that is not possible from any single dataset. Visual analyses of the data highlight locations of power plants and non-industrial sources of NOx, such as wildfires. The daily time resolution of the OMI NO2 data allows the quantification of the weekday-weekend effect. The available OMI NO2 data and the results of NO2 models will allow a global-scale comparison. This new opportunity will permit the global-scale reconciliation of the models-emissions and observations. | ||
| − | *[http:// | + | *[http://capita.wustl.edu/capita/capitareports/071016_HTAP_Juelich/Presentations/071016_HTAP%20Juelich.ppt Application Examples of NOx Analysis] |
*[http://datafedwiki.wustl.edu/index.php/2007-07-18_ESIP_Demo_OMI_NO2 OMI NO2 Demo] | *[http://datafedwiki.wustl.edu/index.php/2007-07-18_ESIP_Demo_OMI_NO2 OMI NO2 Demo] | ||
*[http://datafedwiki.wustl.edu/index.php/2007-07-18_ESIP_Demo_GA_Smoke Georgia Wildfire Smoke Demo] | *[http://datafedwiki.wustl.edu/index.php/2007-07-18_ESIP_Demo_GA_Smoke Georgia Wildfire Smoke Demo] | ||
*[http://wiki.esipfed.org/index.php/2007-07-22:_OMI_Applications_and_Data OMI Applications] | *[http://wiki.esipfed.org/index.php/2007-07-22:_OMI_Applications_and_Data OMI Applications] | ||
*[[media:071030_SCAL_Fires.ppt| Oct 2007 Southern California Fires]] | *[[media:071030_SCAL_Fires.ppt| Oct 2007 Southern California Fires]] | ||
Revision as of 10:59, July 26, 2012
It is now possible to develop a chemical climatology (2004-7) of tropospheric NO2 based on routine daily satellite observations, such as those from OMI. Such data can aid the understanding of NO2 sources, atmospheric dynamics and potential impacts on human health and welfare. Fusion of satellite data, emission models, and surface concentration measurements allow a comprehensive understanding that is not possible from any single dataset. Visual analyses of the data highlight locations of power plants and non-industrial sources of NOx, such as wildfires. The daily time resolution of the OMI NO2 data allows the quantification of the weekday-weekend effect. The available OMI NO2 data and the results of NO2 models will allow a global-scale comparison. This new opportunity will permit the global-scale reconciliation of the models-emissions and observations.
