Creating a Long Term Multi-Sensor Ozone Data Record
Principal Investigator (PI): Richard McPeters, NASA's Goddard Space Flight Center
The proposed research is for a five year effort to produce long term ozone data records by merging data from multiple instruments. The ultimate goal is an ozone Earth Science Data Record (ESDR)—a consistent, calibrated ozone time series that can used for trend analyses and other studies. Both total column ozone and ozone vertical profile data sets will be produced, and we expect records at various spatial/temporal resolutions will be necessary to meet different research requirements. As one of the first groups to implement "missions to measurements" the Total Ozone Mapping Spectrometer (TOMS) team at NASA's Goddard Space Flight Center has created the total ozone merged ozone data record (MOD) by consistently combining total column ozone data from TOMS/Ozone Monitoring Instrument (OMI) and Solar Backscatter Ultraviolet Radiometer (SBUV) instruments. We will expand this product, adding data from three additional instruments. Data from Global Ozone Monitoring Experiment (GOME) (1995-2003) on European Remote Sensing-2 (ERS-2) will provide coverage in periods when there are gaps or data quality issues in the TOMS and SBUV data records. Data from the recently launched GOME-2 instrument wil be added, and data from Ozone Mapping Profiler Suite (OMPS) will be included after the launch of the joint NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP). We propose to concentrate most of our efforts on producing an ozone vertical distribution data set. We will merge profile data from various instruments, including SBUV(/2), Upper Atmosphere Research Satellite (UARS) and Aura Microwave Limb Sounder (MLS), SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY), Global Ozone Monitoring Instrument-1 (GOME-1) and GOME-2. This proposal will support preparation of data from the different instruments for inclusion in the merged ozone data time series. We will also consider processing the GOME and OMPS spectral data with the same algorithm used for TOMS and SBUV in order to ensure consistency.
Distributed by NASA's Goddard Earth Sciences Data and Information Services Center (GES DISC)
Last Updated: Jan 24, 2020 at 1:27 PM EST