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Validation of TES Ozone Satellite Data: ....
Thu, Mar 11, 2010 @ 02:00 PM - 03:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
...Implications for regional air qualitymodeling and weather forecasting Speaker: Dr. Christopher Boxe, Research Scientist, JPL Pasadena, CA Absract: The Tropospheric Emission Spectrometer (TES) is one of four science instruments onboard NASA's Aura satellite. Aura is one of a series of satellites in NASA's Earth Observing System (EOS), which supports understanding of the Earth as an integrated system by observing its land surfaces, biosphere, atmosphere and oceans. EOS, in turn, is the principal element of Earth Science Enterprise, an international effort to understand Earth's climate system. TES versions 3 and 4 nadir-stare ozone profiles are compared with ozonesonde profiles from the Arctic Intensive Ozonesonde Network Study (ARCIONS) during the Arctic Research on the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) field mission. The ozonesonde data are from launches timed to match Aura's overpass, where 11 coincidences spanned 44o N to 71o N from April to July, 2008. Using the TES "stare" observation mode, 32 observations are taken in a distance less than ~ 1 km, over each coincident ozonesonde launch. By effectively sampling the same air mass 32 times, comparisons are made between the empiricallycalculated random errors to the expected random errors from measurement noise, temperature, and interfering species, such as water. This study represents the first validation of high latitude (> 60o) TES ozone. We find that the calculated errors are consistent with the actual errors with a similar vertical distribution that varies between 5% and 20%. In general, TES ozone profiles are positively biased (by less than 15%) from the surface to the upper-troposphere (~ 1000 to 100 hPa) and negatively biased (by less than 20%) from the upper-troposphere to the lower-stratosphere (100 to 30 hPa) when compared to the ozone-sonde data. The implications of this study are discussed within the context of modeling and forecasting with the Weather Research and Forecasting Model with coupled chemistry (WRF-Chem).
Location: Kaprielian Hall (KAP) - 209 (Webex is available upon request)
Audiences: Everyone Is Invited
Contact: Evangeline Reyes