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001048411 1001_ $$00000-0002-9544-6392$$aKeppens, Arno$$b0$$eCorresponding author
001048411 245__ $$aHarmonisation of sixteen tropospheric ozone satellite data records
001048411 260__ $$aKatlenburg-Lindau$$bCopernicus$$c2025
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001048411 520__ $$aThe first Tropospheric Ozone Assessment Report (TOAR, 2014–2019) encountered several observational challenges that limited the confidence in estimates of the burden, short-term variability, and long-term changes of ozone in the free troposphere. One of these challenges is the difficulty to interpret the consistency of satellite measurements obtained with different techniques from multiple sensors, leading to differences in spatiotemporal sampling, vertical smoothing, a-priori information, and uncertainty characterisation. This motivated the Committee on Earth Observation Satellites (CEOS) to initiate a coordinated activity VC-20-01 on improving the assessment and harmonisation of tropospheric ozone measured from space. Here, we report on work that contributes to this CEOS activity, as well as to the ongoing second TOAR assessment (TOAR-II, 2020–2025). Our objective is to harmonise the spatiotemporal perspective of (sixteen) satellite ozone data records, thereby accounting as much as possible for differences in vertical smoothing and sampling. Four harmonisation methods are presented to achieve this goal: two for ozone profiles obtained from nadir sounders (UV-visible, IR, and combined UV-IR), and two for tropospheric ozone column products derived by one of the residual methods (Convective Cloud Differential or Limb–Nadir Matching). We discuss to what extent harmonisation may affect assessments of the spatial distribution, seasonal cycle, and long-term changes in free tropospheric ozone, and we anchor the harmonised profile data to ozonesonde measurements recently homogenised as part of TOAR-II. We find that approaches that use global ozone fields as a transfer standard (here the Copernicus Atmosphere Monitoring Service ReAnalysis, CAMSRA) to constrain the harmonisation generally lead to the largest reduction of the inter-product dispersion (IPD) between satellite datasets. These harmonisation efforts, however, only partially account for the observed discrepancies between the satellite datasets, with a reduction of about 10 %–40 % of the IPD upon harmonisation, depending on the products involved and with strong spatiotemporal dependences. This work therefore provides evidence that it is not only the differences in spatiotemporal smoothing and sampling, but rather the differences in measurement uncertainty that pose the main challenge to the assessment of the spatial distribution and temporal evolution of free tropospheric ozone from satellite observations.
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001048411 7001_ $$00000-0002-4365-865X$$aHubert, Daan$$b1
001048411 7001_ $$0P:(DE-HGF)0$$aGranville, José$$b2
001048411 7001_ $$00000-0001-7116-2494$$aNath, Oindrila$$b3
001048411 7001_ $$0P:(DE-HGF)0$$aLambert, Jean-Christopher$$b4
001048411 7001_ $$0P:(DE-HGF)0$$aWespes, Catherine$$b5
001048411 7001_ $$0P:(DE-HGF)0$$aCoheur, Pierre-François$$b6
001048411 7001_ $$0P:(DE-HGF)0$$aClerbaux, Cathy$$b7
001048411 7001_ $$0P:(DE-HGF)0$$aBoynard, Anne$$b8
001048411 7001_ $$0P:(DE-HGF)0$$aSiddans, Richard$$b9
001048411 7001_ $$00000-0001-5101-9316$$aLatter, Barry$$b10
001048411 7001_ $$0P:(DE-HGF)0$$aKerridge, Brian$$b11
001048411 7001_ $$00000-0003-0476-4545$$aDi Pede, Serena$$b12
001048411 7001_ $$00000-0003-0336-6406$$aVeefkind, Pepijn$$b13
001048411 7001_ $$0P:(DE-HGF)0$$aCuesta, Juan$$b14
001048411 7001_ $$00000-0001-8847-2165$$aDufour, Gaelle$$b15
001048411 7001_ $$00000-0001-8823-7712$$aHeue, Klaus-Peter$$b16
001048411 7001_ $$00000-0002-9275-498X$$aColdewey-Egbers, Melanie$$b17
001048411 7001_ $$00000-0002-8547-9350$$aLoyola, Diego$$b18
001048411 7001_ $$00000-0001-8346-5409$$aOrfanoz-Cheuquelaf, Andrea$$b19
001048411 7001_ $$0P:(DE-HGF)0$$aMaratt Satheesan, Swathi$$b20
001048411 7001_ $$0P:(DE-HGF)0$$aEichmann, Kai-Uwe$$b21
001048411 7001_ $$00000-0003-4525-3223$$aRozanov, Alexei$$b22
001048411 7001_ $$00000-0002-9192-2208$$aSofieva, Viktoria F.$$b23
001048411 7001_ $$0P:(DE-HGF)0$$aZiemke, Jerald R.$$b24
001048411 7001_ $$00000-0003-0603-5389$$aInness, Antje$$b25
001048411 7001_ $$00000-0002-1369-8853$$aVan Malderen, Roeland$$b26
001048411 7001_ $$0P:(DE-Juel1)129125$$aHoffmann, Lars$$b27
001048411 773__ $$0PERI:(DE-600)2505596-3$$a10.5194/amt-18-6893-2025$$gVol. 18, no. 22, p. 6893 - 6916$$n22$$p6893 - 6916$$tAtmospheric measurement techniques$$v18$$x1867-1381$$y2025
001048411 8564_ $$uhttps://amt.copernicus.org/articles/18/6893/2025/
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