
Total Ozone Analysis using SBUV/2 and TOVS (November 15, 2018)
Hi GEONETCasters! In the sixth entry in the series, the daily Total Ozone Analysis using SBUV/2 and TOVS.

From the official Webpage:
NOAA produces daily ozone products from Solar Backscatter UltraViolet Version 2 (SBUV/2) and Advanced Tiros-N Operational Vertical Sounder (TOVS).
Total and profile ozone from the SBUV/2 instrument are retrieved from radiance measurements at 12 discrete wavelengths in the ultraviolet (252 to 340 nm) (Bhartia et al., J. of Geophys. Res., 1996). The SBUV/2 data has gaps between its 14 orbits and over the pole during polar night because it is a nadir-viewing instrument. Ozone maps are generated using Cressman interpolation scheme. This interpolation scheme works well but spatial smoothing can mask small-scale features and miss extremes.
The TOVS data are retrieved using radiance measurements made by the High Resolution InfraRed Sounder (HIRS) at 9.7 microns. This retrieval technique is sensitive only to ozone changes between 4 to 23 km. Latitude dependent but seasonally independent climatology is used in the mid-to-upper stratosphere to derive total ozone (Neuendorffer, J. of Geophys. Res., 1996). TOVS maps are at high spatial resolution because of its twice daily measurements (day and night) and because it is a scanning instrument. Unlike the ultraviolet based instruments TOVS can measure in the polar night. However, accuracy of its total ozone estimate is compromised when ozone changes occur in the mid-to-upper stratosphere.
TOAST is a total column ozone map generated by combining TOVS tropospheric and lower stratospheric (4 to 23 km) ozone retrievals with SBUV/2 spatially smoothed mid-to-upper stratospheric (24 to 54 km) layer ozone retrievals. In essence, we are replacing TOVS climatology with real-time SBUV/2 measurements in the mid-to-upper stratosphere.

GEONETCast-Americas Users may find these Global GRIB2 files the NOAA-NESDIS GNC-A folder.
The GRIB2 files were converted to GeoTIFF with Python and visualized with SIGMACast (Python and SIGMACast integration in progress!).
Please find below the other posts from this Blog series: