Extending the Records: OMPS Ozone Products NOAA Satellite Science Week L. Flynn with contributions from the NOAA and NASA OMPS S-NPP Teams.

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Extending the Records: OMPS Ozone Products NOAA Satellite Science Week L. Flynn with contributions from the NOAA and NASA OMPS S-NPP Teams

Outline Can OMPS products continue the Ozone CDRs? Instrument Performance – Dark Current evolution – Signal-to-Noise Ratio – Stray Light corrections – Solar Measurements / Degradation – Wavelength Scale Total Ozone Products Nadir Ozone Profile Products Limb Ozone Profile Products

Abstract The Ozone Mapping and Profiler Suite (OMPS) is designed to make measurements of scattered solar UV and visible radiance with three separate CCD detectors. The measurements contain information on atmospheric ozone and other trace gases. This talk reports on the performance of the instruments and the validation of the ozone products with particular attention to their ability to provide continuation of three Essential Climate Variable data records – the SBUV(/2) ozone profile CDR, the TOMS/OMI total column ozone CDR and the SAGE/MLS high vertical resolution ozone profile CDR. The OMPS measurements are well on the way to being fully validated with on-board calibration system performing as desired and thorough characterizations of stray light, wavelength scale shift, throughput degradation, non-linearity and dark current to provide models to correct for these effects. The Version 8 Ozone Profile and Total Ozone Algorithms used to create the earlier parts of the corresponding records have been adapted to produce similar products from OMPS measurements. Comparisons with NOAA-19 SBUV/2 and EOS Aura OMI products show excellent consistency. The OMPS Limb Profiler products are advancing with improved modeling and estimates of stray light and pointing errors.

Nadir Mapper & Profiler Limb Profiler Main Electronics Each instrument can view the Earth or either of two solar diffusers; a working and a reference. The instruments measure radiance scattered from the Earth’s atmosphere and surface. The detectors are 2-D CCD arrays with one spectral and one spatial dimension. They also make solar measurements using pairs of diffusers. Judicious operation of working and reference diffusers allows analysts to track the diffuser degradation. The solar measurements also provide checks on the wavelength scale and bandpass. The instruments regularly conduct their internal dark and nonlinearity calibration sequences and have completed a full three years of solar measurements. Earth Mode Solar Mode Diffuser Entrance Aperture Diagram from Ball Aerospace and Technology Corporation 4

OMPS Ozone Mapping & Profiler Suite Global daily monitoring of three dimensional distribution of ozone and other atmospheric constituents. Continues the NOAA SBUV/2, EOS- AURA OMI and SOLSE/LORE records. Nadir Mapper (NM) Grating spectrometer, 2-D CCD 110 deg. cross track, 300 to 380 nm spectral, 1.1nm FWHM bandpass Nadir Profiler (NP) Grating spectrometer, 2-D CCD Nadir view, 250 km cross track, 250 to 310 nm spectral, 1.1 nm FWHM bandpass Limb Profiler (LP) Prism spectrometer, 2-D CCD Three vertical slits, -20 to 80 km, 290 to 1000 nm The calibration systems use pairs of working and reference solar diffusers. The NM and NP share a telescope and use a dichroic filter to split the signal L. Flynn 5

Mean darks increase versus mission time but remain relatively small and corrections are working well. Dark distributions change as expected

The root mean square residual in percent from an Empirical Orthogonal Function Analysis where the six largest patterns were removed. For the NM sensor, shown on the left, the residuals equate to signal-to-noise ratios of better than 2000:1 for wavelengths greater than 320 nm, dropping to 1000:1 at the shorter wavelengths. For the NP sensor, shown on the right, the SNR varies from 550:1 at the longer wavelength to 250:1 for the shortest; spikes correspond to lower signal levels due to solar lines at those wavelengths. Signal-to-Noise Ratio Estimates from Covariance Analysis SNR 1000:1 SNR 200:1

Confirmation of the Stray Light Correction The figures give the values of the slopes for linear fits of the variations of the radiances at wavelengths from 300 nm to 308 nm fit with the variations at 379 nm. (The variations are computed by taking each set of radiance values from 30 S to 30N, fitting with a 4 th degree polynomial in latitude, and subtracting the polynomial.) The plots on the left-hand-side show the results for the uncorrected version and the plots on the right-hand-side show the corrected version. Diamonds, <>, are for the NM: stars, *, are for the NP. The NP has very low level of stray light for these channel because of the dichroic element in its optical path so its results give the target slope values. Using this criterion, the new OMPS NM OOR correction as implemented is considered to be successful.

9 Comparison of NASA-derived and NOAA-derived solar diffuser measurement trends for the for the OMPS Nadir Profile sensor. NASA estimates include (a) correction for wavelength shifts determined independently and (b) correction for solar activity determined using the Mg II proxy and associated scale factors for each wavelength. NOAA estimates are calculated by simultaneously solving for diffuser trends, wavelength shift and solar activity represented by three separate terms in a multiple regression fit. Both sets of results agree well and the instrument shows excellent stability with throughput degradation less than 0.5%/Year even for the shortest channels for the reference measurements. OMPS Nadir Profiler Solar Measurement Trends

Wavelength Shift Effects ±1%Solar Activity Effects ± 1% All Variations Instrument and Working Diffuser Degradation 10 Retrieval Channel Locations Multiple Linear Analysis of NP Solar Measurements for the Working Diffuser First Last

Intra-orbital Wavelength Scale Shifts Increasing SZA Decreasing SZA Above: A cubic polynomial model versus measurement-based wavelength shift estimates (in nm). Right Top: Sample wavelength shifts from groups of five spectra along 4½ orbits. Right Bottom: Temperature gradients along the same 4½ orbits.

12 Comparisons among Total Column Ozone Products from MetOp-B GOME-2 (NOAA Version 8 algorithm), NASA EOS Aura OMI (NASA Version 8.6 algorithm) and S-NPP OMPS-NM (NOAA Version 8 algorithm) for November 2, 2014.

Chasing Orbit Comparisons to SBUV/2 Approximately every 12 days, the orbital tracks for the NOAA-19 and S-NPP spacecrafts align and allow comparisons of products for similar locations with small viewing time differences. The top figure shows convergence of the orbital paths. Products and residuals from the same retrieval algorithms for SBUV/2 and OMPS NP can be compared directly. The bottom figures shows ozone amounts for nine layers for the two Version 8 retrievals with the top left for the lowest layer and the bottom right for the highest layer. Additional monitoring plots provided at emos/proOMPSbeta.O3PRO_V8.php show that the ozone profile differences are consistent with the initial measurement residuals computed relative to the first guess profiles hPa 1.0 hPa 16 hPa 2.5 hPa 0.64 hPa 10 hPa 1.6 hPa 0.4 hPa 6.4 hPa

Comparison of OMPS Total Column Ozone and Limb Profile Ozone, by C. Seftor, NASA GSFC Outside and Inside the Antarctic Ozone Hole

Conclusions We understand the OMPS instrument behavior very well and can correct or adjust the measurements to remove errors. The on-board monitoring systems are providing good characterizations of the time-dependent changes. The heritage Version 8 algorithm products are more than capable of continuing the Climate Data records. The Limb Profiler products are progressing and are achieving high-vertical resolution performance for ozone and aerosols.

Support Acknowledgement The implementations at NOAA of the Version 8 algorithms for use with OMPS were supported by the NCDC Climate Data Record Program and the JPSS Program. The implementations at NASA were supported by the MEASURES Program and the OMPS S-NPP Science Team. The OMPS Limb Ozone Profile retrieval development and validation is primarily the work of the NASA OMPS S-NPP Science Team.

Backup

The figure below compares daily averages (in Dobson units) for total ozone products over a latitude x longitude box in the equatorial Pacific Ocean for November and December The black line and symbols are the results from the Version 8 algorithm applied to the NOAA-19 SBUV/2 measurements and the red line and symbols are for the same algorithm applied to OMPS measurements. They show good agreement. The other colors are for total ozone values from a variety of instruments and algorithms. Figure from

Extending the Records: OMPS Ozone Products Lawrence Flynn with contributions from the NOAA and NASA OMPS S-NPP Teams Will products from OMPS (NOAA’s new generation of ozone monitoring instruments) measurements continue the past Ozone CDRs with adequate fidelity? This talk will present the following results: The on-board calibration systems are functioning as designed and are identifying changes in the optical throughput and dark current with high accuracy. Validation of the SDRs and EDRs showed good stability but identified areas where improvements were needed. Adjustments and models to apply corrections have been created to reduce errors from stray light and wavelength scale variations to acceptable levels and are progressing into the operational product processing system. Offline processing with the heritage Version 8 algorithms creates products with good consistency with existing elements of the Ozone CDRs. These algorithms are moving down the pipeline for operational implementation. The figure on the right compares daily averages (in Dobson units) for total ozone products over a latitude x longitude box in the equatorial Pacific Ocean for December The black line and symbols are the results from the Version 8 algorithm applied to the NOAA-19 SBUV/2 measurements and the red line and symbols are for the same algorithm applied to S-NPP OMPS measurements. They show good agreement. The other colors are for total ozone values from a variety of instruments and algorithms.

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