Palmer Group @ Edinburgh::
Modelling Tropospheric Composition
Introduction Understanding the composition of the troposphere is the
overarching theme of our research.
The holy grail for tropospheric chemistry
modellers is to understand and quantify tropospheric O3.
Tropospheric O3 is a
greenhouse gas with a radiative forcing comparable to that of
CH4. It is produced by
the photochemical oxidation of carbon monoxide and natural and
anthropogenic volatile organic compounds (VOCs) in the presence
of nitrogen oxides. It is also one of the main ingredients of
photochemical smog, that often plagues large cities such as Los
Angeles, and at elevated concentrations cause respiratory
illnesses and reduced yields of agricultural crops. There are
many aspects to understanding tropospheric O3 some
of which we tackle in this group and are described in these
webpages
Smog over Houston TX
General Areas of Current Research
Data analysis
Ground-based and aircraft observations of atmospheric composition
have been central to our understanding of chemistry in the
troposphere [1,2]. Progressively more important is the use
of satellite data in putting local and regional-scale data on
a global scale [3,4,5,6].
Numerical modelling of atmospheric and oceanic chemistry
We use a heirachy of chemistry models to analyse atmospheric
and oceanic measurements: from simple chemical mass balance [6],
to balanced carbon model of the terrestrial biosphere [7] to
sophisticated chemical transport model [8,9]. We are involved
with the development of the
TOMCAT chemistry transport model that
uses assimilated ECMWF meteorology. In collaboration with
Professor Mike Pilling (University of Leeds) we are also involved with
helping to evaluate small subsets of the Master Chemical Mechanism using field
measurements.
Surface flux estimation
We apply formal and ad hoc inverse methodologies to estimate the
magnitude and uncertainty of surface fluxes of anthropogenic,
pyrogenic
and biospheric gases and particles using a range of datasets
[3,10,11]. This is also known as the "top-down" emission
inventory approach. We are also actively
involved with the development of "bottom-up" parameterizations of
biospheric VOC fluxes [12].
In situ chemical processing of gases and particles
We have used the ratio of long- and short-lived (or soluble and
insoluble) trace gases to quantify the export efficiency of
black carbon [13] and also the sink of cloud condensation nuclei
against wet deposition [14]. A better quantitative understanding
of
these processes improves our estimates of their radiative forcing
on climate. We are extending this analysis to more reactive
chemical species that require more detailed chemistry.
[1]
Wiedinmyer, C., et al, J. Geophys. Res., doi:10.1029/2005JD005800,
2005.
(PDF)
[2]
Xiao, Y., et al, J. Geophys. Res.,
doi:10.1029/2003JD004475, 2004. (PDF)
[3]
Palmer, P. I., et al, "Quantifying the seasonal and interannual variability
of North American isoprene emissions using satellite observations of
formaldehyde column,"J. Geophys. Res., in press, 2006.
(PDF)
[4]
Liu, X., et al, J. Geophys. Res., in press, 2006.
(PDF)
[5]
Martin, R. V., et al, J. Geophys. Res.,
doi:10.1029/2003JD003453, 2003.
(PDF)
[6]
Palmer, P. I. and S. Shaw, Geophys. Res. Lett.,
doi:10.1029/2005GL022592, 2005. (PDF).
[Isoprene Ocean Flux Data].
[7]
Palmer, P. I., et al, "Exploiting observed
CO:CO2 correlations to improve inverse analyses of
carbon fluxes," J. Geophys.
Res., in review, 2005. (PDF)
[8]
Kiley, C. M., et al, J. Geophys. Res.,
doi:10.1029/2002JD003089, 2003.
(PDF)
[9]
Li, Q., et al, J. Geophys. Res., 107, 10.1029/2002JD001422, 2002.
(PDF)
[10]
Palmer, P. I., et al, J. Geophys. Res., doi:10.1029/2002JD003176,
2003. (PDF)
[11]
Palmer, P. I., et al, J. Geophys. Res.,
doi:10.1029/2003JD003591, 2003.
(PDF)
[12]
Guenther, A., T. Karl, P. Harley, C. Wiedinmyer, P. I. Palmer, and C. Geron,
"Estimates of global terrestrial isoprene emissions using MEGAN (Model of
Emissions of Gases and Aerosols from Nature)," Atmos. Chem. Phys. Discuss,
in review, 2006. (PDF)
[13]
Park, R. J., et al, J. Geophys. Res., doi:10.1029/2004J005432, 2005.
(PDF)
[14]
Garrett, T. J., L. Avey, P. I. Palmer, C. Brock, J. de Gouw, and T.
Ryerson, "Quantifying loss of CCN by wet scavenging processes during
ITCT-2K4," in preparation, 2006.