Upgrade from SGP V5.02 to V6.00: Conclusions from delta-validation of Diagnostic Data Set D. Hubert, A. Keppens, J. Granville, F. Hendrick, J.-C. Lambert.

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Upgrade from SGP V5.02 to V6.00: Conclusions from delta-validation of Diagnostic Data Set D. Hubert, A. Keppens, J. Granville, F. Hendrick, J.-C. Lambert Belgian Institute for Space Aeronomy (BIRA-IASB) A. van Gijsel Royal Netherlands Meteorological Institute (KNMI) Acknowledgements NDACC, SHADOZ and GAW PIs + staff at stations ESA, BELSPO

Issue 2A circulated to SQWG on 18 Sep 2015 Validation report

Data sets SCIAMACHY SGP 3.01/R complete data set (Aug 2002 – Jan 2010) SGP 5.02/W complete data set (Aug 2002 – Apr 2012) SGP 6.00/Ydiagnostic data set (Aug 2002 – Apr 2012) Ground-based instruments O3 column36 Dobsons, 32 Brewers, 17 UV-visible spectrometers (GAW, NDACC) NO2 column19 UV-visible spectrometers (NDACC) BrO column1 UV-visible spectrometers at Harestua (60°N) CO column12 FTIRs (NDACC) O3 profile 79 ozonesondes, 12 lidars, 3 MWRs (GAW, NDACC, SHADOZ) BrO profile1 UV-visible spectrometer at Harestua (60°N)

Diagnostic Data Set Shown: difference in (latitude, time) sampling of SCIAMACHY-ground co-locations for entire mission and Diagnostic Data Set (5011 orbits) DDS-derived results are generally representative in space and time, except space: BrO (only one station in Arctic) and CO (1 station in Tropics + Antarctic) time : less CO data to compare differences in monthly mean  full mission should increase precision of bias estimates O3 column NO2 column CO column O3 profile BrO column / profile

O3 nadir column Relative to V5, O3 column reduced on average by % at most stations Bias is hereby reduced, now at most +(1-1.5)% (close to GND measurement uncertainties) No changes in SZA or cloud-dependence of bias No clear changes in spread

Brewer 30N-60N Dobson 0N-90N O3 nadir column However V6 columns exhibit a long-term drift in NH! It is negative and about 1.5% over mission lifetime Consistent results for Dobson & Brewer Not seen for V5

NO2 nadir column Differences between SGP V6 and V5 are hardly noticeable and well below the detection limit of the ground-based measurements. Median bias is less than ±4x10 14 molec. cm -2 (~10-15%) at stations without tropospheric pollution and where the diurnal cycle can be accounted for accurately. Difference between mid N and mid S bias (~7x10 14 molec. cm -2 ) possibly due to tropospheric pollution and residual diurnal cycle effects.

CO nadir column In general, the yearly bias of V6 is comparable to that of V5, but appears clearly reduced during (TBC with more data) No clear differences in yearly spread between V5 and V6 Large amount of outliers and negatives (even for monthly means…) Due to large variability no seasonal cycle, decadal trend or meridian dependence can be observed Product remains inadequate in both precision and accuracy

BrO nadir column at Harestua (60°N) Very similar data quality* Annual cycle well reproduced Negative bias reduced by ~0.5% (insignificant) More outliers in V5 data (2003, 2004, 2007) (?) * Sampling differences may play a role in above results (V5 = full mission, V6 = DDS)

O3 limb profile UTLS and stratosphere Overall, V5&V6 are very similar, but in parts of the atmosphere clear changes are noted –Upper stratosphere : reduction in short-term variability –Arctic : clear improvement of variability –3-7% less ozone below 30-35km (bias reduction 30N-90S, bias increase 30N-90N) All major issues remain ① vertical AK introduces large oscillations, ② bias is large and has complex structure, ③ significant degradation of data quality in Arctic MS, ④ clear negative decadal drift in MS, ⑤ impact of pT (Aug 2015)

O3 limb profile mesosphere (& stratosphere) Comparison to three microwave radiometer stations (47°N, 20°N and 45°S) Consistent results (within 5%) for microwave and lidar over km Positive bias in large part of the mesosphere, less clear above ~60km No SCIAMACHY V5 data shown (since only a-priori reported in mesosphere) Payerne (47N) only MWR Mauna Loa (20N) MWR+LID Lauder (45S) MWR+LID

V6 BrO concentrations up to 3% larger than V5 Bias is season- and altitude-dependent Spread is similar for V5 and V6 Biases are significantly higher than those obtained for the IUP-Bremen scientific product at the same station (+10/- 20%), see Hendrick et al. (2009) BrO limb profile at Harestua (60°N) Similar results for 15-27km partial column V5 and V6 do not capture the seasonality seen in the ground-based partial columns This seasonality is well captured by the IUP- Bremen scientific product (Hendrick et al., 2009)

Executive summary O3 columnNO2 columnCO columnBrO columnO3 profileBrO profile Change V6 vs V5 Reduced positive bias Spread is similar Negative drift of 1.5% / dec. at NH middle latitudes Differences between the two SGP data versions are hardly noticeable and below the detection limit of the ground-based measurements. Bias clearly reduced during Spread is similar Major issues not solved Perhaps slightly better negative bias reduced by 0.5% possibly less outliers. As expected, V6 is very similar in quality to V5. It has slightly improved bias, short-term variability and estimates of random uncertainty in some regions of the atmosphere. Very similar: BrO conc. increase by 0- 3% spread is quasi unchanged again, no annual cycle. But, quality remains worse than that of scientific product Maturity evaluation Representative global Representative global, except in Tropics Possible sampling issues, better precision expected for full mission 1 Arctic stationRepresentative global, except in mesosphere 1 Arctic station Recommendation Reprocess, if appearance of 1.5% / decade negative drift is acceptable. Clear disclaimer of this in README file. Reprocess, since no observable degradation relative to V5. Reprocess, since signs of improved product. Clear disclaimer of major issues in README file. Reprocess, since no observable degradation relative to V5. Reprocess, since at least no degradation relative to V5. Clear disclaimer of many major issues in README file. Reprocess, since no degradation relative to V5. Clear disclaimer of issues in README file.