Emissions estimation from satellite retrievals: A review of current capability

  • David G. Streets
  • , Timothy Canty
  • , Gregory R. Carmichael
  • , Benjamin De Foy
  • , Russell R. Dickerson
  • , Bryan N. Duncan
  • , David P. Edwards
  • , John A. Haynes
  • , Daven K. Henze
  • , Marc R. Houyoux
  • , Daniel J. Jacob
  • , Nickolay A. Krotkov
  • , Lok N. Lamsal
  • , Yang Liu
  • , Zifeng Lu
  • , Randall V. Martin
  • , Gabriele G. Pfister
  • , Robert W. Pinder
  • , Ross J. Salawitch
  • , Kevin J. Wecht

Research output: Contribution to journalReview articlepeer-review

340 Scopus citations

Abstract

Since the mid-1990s a new generation of Earth-observing satellites has been able to detect tropospheric air pollution at increasingly high spatial and temporal resolution. Most primary emitted species can be measured by one or more of the instruments. This review article addresses the question of how well we can relate the satellite measurements to quantification of primary emissions and what advances are needed to improve the usability of the measurements by U.S. air quality managers. Built on a comprehensive literature review and comprising input by both satellite experts and emission inventory specialists, the review identifies several targets that seem promising: large point sources of NOx and SO2, species that are difficult to measure by other means (NH3 and CH4, for example), area sources that cannot easily be quantified by traditional bottom-up methods (such as unconventional oil and gas extraction, shipping, biomass burning, and biogenic sources), and the temporal variation of emissions (seasonal, diurnal, episodic). Techniques that enhance the usefulness of current retrievals (data assimilation, oversampling, multi-species retrievals, improved vertical profiles, etc.) are discussed. Finally, wepoint out the value of having new geostationary satellites like GEO-CAPE and TEMPO over NorthAmerica that could provide measurements at high spatial (few km) and temporal (hourly) resolution.

Original languageEnglish
Pages (from-to)1011-1042
Number of pages32
JournalAtmospheric Environment
Volume77
DOIs
StatePublished - Oct 2013

Keywords

  • Air quality management
  • Data assimilation
  • Emission inventories
  • National Emission Inventory
  • Satellite retrievals

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