Reproduced
with permission, from: Osborn, T.J., and Wigley, T.M.l. 1994. A Simple
Model for Estimating Methane Concentration and Lifetime Variations.
Climate Dynamics 9(4): 181.
A simple model for estimating methane concentration and lifetime
variations
TJ Osborn, TML Wigley
Climatic Research Unit
University of East Anglia
Norwich NR4 71J, UK
Abstract.
A simple methane model is presented in which lifetime changes are
expressed as a function of CH4 concentration and emissions of
NOx, CO and NMCHs. The model parameters define the relative
sensitivities of lifetime to these determining factors. The parameterized
model is fitted to results from five more complex atmospheric chemistry
models and to 1990 IPCC concentration projections. The IPCC data and four
of the five models are well fitted, implying that the model s have similar
relative sensitivities. However, overall sensitivities of lifetime to
changes in atmospheric composition vary widely from model to model. The
parameterized model is used to estimate the history of past methane
emissions, lifetime changes and OH variations, with estimates of
uncertainties. The pre-industrial lifetime is estimated to be 15-34%
lower than today. This implies that 23-55% of past concentration changes
are due to lifetime changes. Pre-industrial emissions are found to be muc
h higher (220-330 TgCH4/y) than the best estimate of present
natural emissions (155 TgCH4/y). The change in emissions since
pre-industrial times is estimated to lie in the range 160-260
TgCH4/y, compared with the current best guess for anthropogenic
emissions of 360 TgCH4/y. These results imply either that
current estimates of anthropogenic emissions are too high and/or that
there have been large changes in natural emissions. 1992 IPCC emissions
scenarios are used to give projections of future concentration and
lifetime changes, together with their uncertainties. For any given
emissions scenarios, these uncertainties are large. In terms of future
radiative forcing and global-mean temperature changes over 19 90-2100 they
correspond to uncertainties of at least ±0.2Wm-2 and ±0.1 degC,
respectively.
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