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Top-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns

Barkley, Michael P.; De Smedt, Isabelle; Van Roozendael, Michel; Kurosu, Thomas P.; Chance, Kelly; Arneth, Almut LU ; Hagberg, Daniel LU ; Guenther, Alex; Paulot, Fabien and Marais, Eloise, et al. (2013) In Journal of Geophysical Research: Atmospheres 118(12). p.6849-6868
Abstract
We use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested-grid version of the GEOS-Chem chemistry transport model, to infer an ensemble of top-down isoprene emission estimates from tropical South America during 2006, using different model configurations and assumptions in the HCHO air-mass factor (AMF) calculation. Scenes affected by biomass burning are removed on a daily basis using fire count observations, and we use the local model sensitivity to identify locations where the impact of spatial smearing is small, though this comprises spatial coverage over the region. We find that the use of the HCHO... (More)
We use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested-grid version of the GEOS-Chem chemistry transport model, to infer an ensemble of top-down isoprene emission estimates from tropical South America during 2006, using different model configurations and assumptions in the HCHO air-mass factor (AMF) calculation. Scenes affected by biomass burning are removed on a daily basis using fire count observations, and we use the local model sensitivity to identify locations where the impact of spatial smearing is small, though this comprises spatial coverage over the region. We find that the use of the HCHO column data more tightly constrains the ensemble isoprene emission range from 27-61TgC to 31-38TgC for SCIAMACHY, and 45-104TgC to 28-38TgC for OMI. Median uncertainties of the top-down emissions are about 60-260% for SCIAMACHY, and 10-90% for OMI. We find that the inferred emissions are most sensitive to uncertainties in cloud fraction and cloud top pressure (differences of +/- 10%), the a priori isoprene emissions (+/- 20%), and the HCHO vertical column retrieval (+/- 30%). Construction of continuous top-down emission maps generally improves GEOS-Chem's simulation of HCHO columns over the region, with respect to both the SCIAMACHY and OMI data. However, if local time top-down emissions are scaled to monthly mean values, the annual emission inferred from SCIAMACHY are nearly twice those from OMI. This difference cannot be explained by the different sampling of the sensors or uncertainties in the AMF calculation. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Amazon, isoprene, formaldehyde, SCIAMACHY, OMI, GEOS-Chem
in
Journal of Geophysical Research: Atmospheres
volume
118
issue
12
pages
6849 - 6868
publisher
Wiley-Blackwell
external identifiers
  • wos:000322129600069
  • scopus:84880910971
ISSN
2169-8996
DOI
10.1002/jgrd.50552
project
BECC
MERGE
language
English
LU publication?
yes
id
f1d8259a-2e67-431b-b3b0-ed1663b6a183 (old id 3974116)
date added to LUP
2013-08-21 16:34:03
date last changed
2019-08-14 01:30:06
@article{f1d8259a-2e67-431b-b3b0-ed1663b6a183,
  abstract     = {We use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested-grid version of the GEOS-Chem chemistry transport model, to infer an ensemble of top-down isoprene emission estimates from tropical South America during 2006, using different model configurations and assumptions in the HCHO air-mass factor (AMF) calculation. Scenes affected by biomass burning are removed on a daily basis using fire count observations, and we use the local model sensitivity to identify locations where the impact of spatial smearing is small, though this comprises spatial coverage over the region. We find that the use of the HCHO column data more tightly constrains the ensemble isoprene emission range from 27-61TgC to 31-38TgC for SCIAMACHY, and 45-104TgC to 28-38TgC for OMI. Median uncertainties of the top-down emissions are about 60-260% for SCIAMACHY, and 10-90% for OMI. We find that the inferred emissions are most sensitive to uncertainties in cloud fraction and cloud top pressure (differences of +/- 10%), the a priori isoprene emissions (+/- 20%), and the HCHO vertical column retrieval (+/- 30%). Construction of continuous top-down emission maps generally improves GEOS-Chem's simulation of HCHO columns over the region, with respect to both the SCIAMACHY and OMI data. However, if local time top-down emissions are scaled to monthly mean values, the annual emission inferred from SCIAMACHY are nearly twice those from OMI. This difference cannot be explained by the different sampling of the sensors or uncertainties in the AMF calculation.},
  author       = {Barkley, Michael P. and De Smedt, Isabelle and Van Roozendael, Michel and Kurosu, Thomas P. and Chance, Kelly and Arneth, Almut and Hagberg, Daniel and Guenther, Alex and Paulot, Fabien and Marais, Eloise and Mao, Jingqiu},
  issn         = {2169-8996},
  keyword      = {Amazon,isoprene,formaldehyde,SCIAMACHY,OMI,GEOS-Chem},
  language     = {eng},
  number       = {12},
  pages        = {6849--6868},
  publisher    = {Wiley-Blackwell},
  series       = {Journal of Geophysical Research: Atmospheres},
  title        = {Top-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns},
  url          = {http://dx.doi.org/10.1002/jgrd.50552},
  volume       = {118},
  year         = {2013},
}