Preprints
https://doi.org/10.5194/amt-2022-90
https://doi.org/10.5194/amt-2022-90
 
06 Apr 2022
06 Apr 2022
Status: this preprint is currently under review for the journal AMT.

Differences in MOPITT surface-level CO retrievals and trends from Level 2 and Level 3 products in coastal grid boxes

Ian Ashpole1 and Aldona Wiacek1,2 Ian Ashpole and Aldona Wiacek
  • 1Department of Environmental Science, Saint Mary’s University, Halifax, Canada
  • 2Department of Astronomy and Physics, Saint Mary’s University, Halifax, Canada

Abstract. MOPITT retrievals are more sensitive to near-surface CO when performed over land than water. Data users are therefore advised to discard retrievals performed over water from analyses to limit the a priori influence on results. Level 3 (L3) products are a 1° x 1° gridded average of finer resolution Level 2 (L2) retrievals. For coastal grid boxes, these are retrievals that are either performed over land, water, or a combination of the two, on any given day. L3 data users therefore have limited ability to filter for retrievals performed over water for these grid boxes. The consequences that this has on retrievals and their temporal trends in “as-downloaded” L3 data (L3O) are examined in this paper, for all coastal L3 MOPITT grid boxes (n = 4299), by comparison to separate land- and water-only grid box averaged L2 retrievals (L3L and L3W, respectively). First, it is established that mean retrieved VMRs in L3L and L3W differ by over 10 ppbv, significant (p < 0.1) at 60 % of the coastal grid boxes. Trends are also stronger in L3L (mean difference between 0.28 ppbv y-1 and 0.43 ppbv y-1), with the L3L – L3W trend difference significant at 36 % of grid boxes. These L3L-L3W differences are clearly linked to retrieval sensitivity differences, with L3W being more heavily tied to the a priori CO profiles used in the retrieval, which is a model-derived monthly mean climatology. On days when L3O is created from the averaging together of L2 retrievals over both land and water (L3OM), the result is VMRs that are significantly different to L3L for 75 % of grid boxes where the L3L – L3W difference is also significant, 45 % of all coastal grid boxes. Just under half of the grid boxes that featured a significant L3L – L3W trend difference also see trends differing significantly between L3L and L3OM. Factors that determine significance of difference between L3OM and L3L include proportion of the surface covered by land/water, and the magnitude of sensitivity contrast. Comparing the full L3O dataset to L3L, it is shown that if L3O is filtered so that only retrievals over land (L3OL) are analysed, there is a huge loss of days with data. This is because L2 retrievals over land are routinely discarded during the L3O creation process, for coastal grid boxes. The problem can be lessened by also retaining L3OM retrievals, but the resulting L3O “land or mixed” (L3OLM) subset still has less data days than L3L for 61 % of coastal grid boxes. Moreover, as already shown, these additional days with data feature some influence from retrievals made over water that can affect results. Coastal L3 grid boxes contain 33 of the 100 largest coastal cities in the world, by population. Focusing on the L3 grid boxes containing these cities, it is shown that mean VMRs in L3OL and L3L differ significantly for 11 of the 27 cities that can be compared (there are no L3OL data for 6 of the cities). The L3L – L3OLM mean VMR difference exceeds 10 (22) ppbv for 11 (3) of the 33 cities, significant in 13 cases. 9 of the 18 cities where WLS analysis can be performed in L3OL feature a trend that is significantly different to L3L. The trends in L3OLM and L3L differ significantly for 5 of the 33 cities. It is concluded that a L3 product based only on L2 retrievals over land would be of benefit to MOPITT data users, given the clear and sometimes significant differences in mean CO VMRs and trends that can be obtained for coastal grid boxes using L2 products in which retrievals performed over water can be more easily discarded.

Ian Ashpole and Aldona Wiacek

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-90', Anonymous Referee #1, 18 May 2022
  • RC2: 'Comment on amt-2022-90', Anonymous Referee #2, 21 May 2022

Ian Ashpole and Aldona Wiacek

Ian Ashpole and Aldona Wiacek

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Short summary
The MOPITT instrument has been measuring atmospheric carbon monoxide (CO) from space since 2000. Its data products are valuable for CO trend analysis. This paper compares products with different spatial resolutions to identify discrepancies in mean CO amounts and detectable trends, for coastal grid boxes. It is found that CO amounts and trends differ significantly between data products for a large number of these grid boxes, essentially due to how the coarser resolution products are created.