Methane cross-validation between three Fourier transform spectrometers: SCISAT ACE-FTS, GOSAT TANSO-FTS, and ground-based FTS measurements in the Canadian high Arctic

摘要

We present cross-validation of remote sensing measurements of methane profiles in the Canadian high Arctic. Accurate and precise measurements of methane are essential to understand quantitatively its role in the climate system and in global change. Here, we show a??cross-validation between three data sets two from spaceborne instruments and one from a??ground-based instrument. All are Fourier transform spectrometers (FTSs). We consider the Canadian SCISAT Atmospheric Chemistry Experiment (ACE)-FTS, a??solar occultation infrared spectrometer operating since 2004, and the thermal infrared band of the Japanese Greenhouse Gases Observing Satellite (GOSAT) Thermal And Near infrared Sensor for carbon Observation (TANSO)-FTS, a??nadir/off-nadir scanning FTS instrument operating at solar and terrestrial infrared wavelengths, since 2009. The ground-based instrument is a??Bruker 125HR Fourier transform infrared (FTIR) spectrometer, measuring mid-infrared solar absorption spectra at the Polar Environment Atmospheric Research Laboratory (PEARL) Ridge Laboratory at Eureka, Nunavut (80?°a?ˉN, 86?°a?ˉW) since 2006. For each pair of instruments, measurements are collocated within 500a?ˉkm and 24a?ˉh. An additional collocation criterion based on potential vorticity values was found not to significantly affect differences between measurements. Profiles are regridded to a??common vertical grid for each comparison set. To account for differing vertical resolutions, ACE-FTS measurements are smoothed to the resolution of either PEARL-FTS or TANSO-FTS, and PEARL-FTS measurements are smoothed to the TANSO-FTS resolution. Differences for each pair are examined in terms of profile and partial columns. During the period considered, the number of collocations for each pair is large enough to obtain a??good sample size (from several hundred to tens of thousands depending on pair and configuration). Considering full profiles, the degrees of freedom for signal (DOFS) are between 0.2 and 0.7 for TANSO-FTS and between 1.5 and 3 for PEARL-FTS, while ACE-FTS has considerably more information (roughly 1a?ˉDOFS per altitude level). We take partial columns between roughly 5 and 30a?ˉkm for the ACE-FTSa??PEARL-FTS comparison, and between 5 and 10a?ˉkm for the other pairs. The DOFS for the partial columns are between 1.2 and 2 for PEARL-FTS collocated with ACE-FTS, between 0.1 and 0.5 for PEARL-FTS collocated with TANSO-FTS or for TANSO-FTS collocated with either other instrument, while ACE-FTS has much higher information content. For all pairs, the partial column differences are within ?±3a????a??10sup22/supa?ˉmoleculesa??cmsup−2/sup. Expressed as mediana?ˉ?±a?ˉmedian absolute deviation (expressed in partial column units or as a percentage), these differences are 0.11a?ˉ?±a?ˉ9.60a?ˉa????a??10sup20/supa?ˉmoleculesa??cmsup−2/sup (0.012a?ˉ?±a?ˉ1.018a?ˉ%) for TANSO-FTSa??PEARL-FTS, −2.6a???±a??2.6a????a??10sup21/supa?ˉa??cmsup−2/sup (−1.6a???±a??1.6a?ˉ%) for ACE-FTSa??PEARL-FTS, and 7.4a???±a??6.0a????a??10sup20/supa?ˉmoleculesa??cmsup−2/sup (0.78a???±a??0.64a?ˉ%) for TANSO-FTSa??ACE-FTS. The differences for ACE-FTSa??PEARL-FTS and TANSO-FTSa??PEARL-FTS partial columns decrease significantly as a??function of PEARL partial columns, whereas the range of partial column values for TANSO-FTSa??ACE-FTS collocations is too small to draw any conclusion on its dependence on ACE-FTS partial columns.