Abstract

Abstract. Separating the stratospheric and tropospheric contributions in satellite retrievals of atmospheric NO2 column abundance is a crucial step in the interpretation and application of the satellite observations. A variety of stratosphere–troposphere separation algorithms have been developed for sun-synchronous instruments in low Earth orbit (LEO) that benefit from global coverage, including broad clean regions with negligible tropospheric NO2 compared to stratospheric NO2. These global sun-synchronous algorithms need to be evaluated and refined for forthcoming geostationary instruments focused on continental regions, which lack this global context and require hourly estimates of the stratospheric column. Here we develop and assess a spatial filtering algorithm for the upcoming TEMPO geostationary instrument that will target North America. Developments include using independent satellite observations to identify likely locations of tropospheric enhancements, using independent LEO observations for spatial context, consideration of diurnally varying partial fields of regard, and a filter based on stratospheric to tropospheric air mass factor ratios. We test the algorithm with LEO observations from the OMI instrument with an afternoon overpass, and from the GOME-2 instrument with a morning overpass. We compare our TEMPO field of regard algorithm against an identical global algorithm to investigate the penalty resulting from the limited spatial coverage in geostationary orbit, and find excellent agreement in the estimated mean daily tropospheric NO2 column densities (R2=0.999, slope=1.009 for July and R2=0.998, slope=0.999 for January). The algorithm performs well even when only small parts of the continent are observed by TEMPO. The algorithm is challenged the most by east coast morning retrievals in the wintertime (e.g., R2=0.995, slope=1.038 at 14:00 UTC). We find independent global LEO observations (corrected for time of day) provide important context near the field-of-regard edges. We also test the performance of the TEMPO algorithm without these supporting global observations. Most of the continent is unaffected (R2=0.924 and slope=0.973 for July and R2=0.996 and slope=1.008 for January), with 90 % of the pixels having differences of less than ±0.2×1015 molecules cm−2 between the TEMPO tropospheric NO2 column density and the global algorithm. For near-real-time retrieval, even a climatological estimate of the stratospheric NO2 surrounding the field of regard would improve this agreement. In general, the additional penalty of a limited field of regard from TEMPO introduces no more error than normally expected in most global stratosphere–troposphere separation algorithms. Overall, we conclude that hourly near-real-time stratosphere–troposphere separation for the retrieval of NO2 tropospheric column densities by the TEMPO geostationary instrument is both feasible and robust, regardless of the diurnally varying limited field of regard.

Highlights

  • Nitrogen dioxide (NO2) and nitrogen oxides in general are central to atmospheric chemistry in both the troposphere and stratosphere (Finlayson-Pitts and Pitts, 1999; Seinfeld and Pandis, 2016)

  • We further evaluate the performance of our algorithm by comparing the tropospheric NO2 column distribution along the western-most edge (1◦ deep) of the TEMPO field of regard with the tropospheric NO2 tropospheric column distribution included in the independent NASA SPv3 retrieval

  • We find that our algorithm performs as well as a global low Earth orbit (LEO) algorithm for most scenarios

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Summary

Introduction

Nitrogen dioxide (NO2) and nitrogen oxides in general are central to atmospheric chemistry in both the troposphere and stratosphere (Finlayson-Pitts and Pitts, 1999; Seinfeld and Pandis, 2016). Image processing and spatial filtering techniques are an extension of the reference sector method (Bucsela et al, 2006, 2013; Leue et al, 2001; Valks et al, 2011; Velders et al, 2001; Wenig et al, 2004), whereby stratospheric NO2 is estimated by interpolating between regions that are classified as having negligible tropospheric NO2 This might be accomplished for example by using only cloudy scenes over the oceans (e.g., Leue et al, 2001), or by applying a pollution “mask” given prior estimates of tropospheric NO2 (e.g., Bucsela et al, 2006; Valks et al, 2011). Instead of binary masks based on arbitrary thresholds, STREAM applies a weighted convolution scheme where cloudy observations are given a high weight and polluted observations (based on a prior estimate) are given low weight These spatial filtering approaches developed exclusively for global observational coverage from LEO offer valuable guidance on the development of geostationary stratosphere–troposphere separation algorithms. We develop a standard stratosphere–troposphere separation algorithm for the observations of NO2 from TEMPO, and examine in detail the potential information penalty associated with the limited TEMPO field of regard compared to an identical global algorithm

Satellite observations
Estimating stratospheric NO2 over the TEMPO field of regard
Stratosphere–troposphere separation over the TEMPO field of regard
Findings
Conclusions
Full Text
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