What data will be regularly and reliably available during the experiment? 1-Meteorological data 2-Total ozone data

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Presentation transcript:

What data will be regularly and reliably available during the experiment? 1-Meteorological data 2-Total ozone data 3-Aircraft flight data (geographical, meteorological, and chemical data) 4-South Pole (meteorological, ozone, and NO data) within 2 weeks (met and ozone under negotiation with CMDL) South Pole ground-based data and finalized aircraft data can be expected 6-9 months after completion of the experiment

Fifteen different data sources must be combined before meaningful analysis is possible: Met Data (T, DP, Wind Dir, Wind Spd, etc.): NOAA CMDL Sodar Mixing Depth: Bill Neff, NOAA Photolysis Rates: Biospherical Instruments Total Ozone: NASA TOMS (Total Ozone Mapping Spectrometer) Ozone and CO: NOAA CMDL NO and NO y : Marty Buhr, Sonoma Tech. OH: Fred Eisele, National Center for Atmospheric Research H 2 O 2, CH 2 O: Manuel Hutterli, U. Arizona HONO: David Tan, Ga. Tech. HNO 3, HO 2 NO 2, SO 2 : Greg Huey, Ga. Tech. HONO, HNO3: Jack Dibb, U. New Hampshire PAN (peroxyacetylnitrate): James Roberts, NOAA Aeronomy Lab Hydrocarbons/halocarbons: Don Blake, U. California, Irvine Aerosol Composition: Rich Arimoto, New Mexico State University Gas Phase and Particulate Mercury: Steve Brooks, DOE, Oak Ridge

Considerations for merging data: Decide on a reasonable data interval -How rapidly are conditions changing ? (aircraft vs. ground site) -What resolution do the measurements have? Make sure that time clocks are synchronized -Aircraft data requires a common clock -Ground sites have several clocks if not well organized -GMT is always best (eliminates time zone confusion) Interpreting the individual data files… -Data format (text file, spreadsheet, other) -Documentation (header, readme, etc.) How to report data for missing periods…

Basic Data Analysis: Time Series plots Correlation plots (with simple regression) Histograms Useful, but not possible in Excel: Wind Rose plots Geographic plots Color coding of data points Data filtering/Data Sorting: Example: Histogram of NO versus wind direction -identify and sort data when both parameters are available -choose appropriate bin size for wind direction -generate bin statistics for NO (median, mean, stdev, etc.)