This paper explores a new approach to estimating atmospheric hydroxyl
radical concentrations from regional measurements of a suite of hydroc
arbons. The approach is guided by the study of a suite of synthetic tr
acers, i, with uniform continental sources and constant but different
lifetimes of 1, 2, 5, 20, 50, and 100 days, whose global distributions
are calculated from a three-dimensional chemical tracer model. With t
he help of the model we show that in a grid box the standard deviation
ai divided by the average concentration (M) over bar(i) is a unique f
unction of the chemical lifetime sigma(i). In favorable cases, for ins
tance, in surface air within a specific region sampled by the Pacific
Exploratory Mission (PEM) West B campaign, that function takes a simpl
e form: sigma(i)/(M) over bar(i) = A x tau(i)(-alpha), with alpha = 0.
48, very close to 1/2. An analogous relation is found for the alkanes,
ethane through n-hexane, measured during the PEM West B campaign in t
he same domain, with their reaction rate constant with OH, k(OH). That
relation has the form sigma(i)/(M) over bar(i) = B x (k(OH,) (i))(alp
ha'), with alpha' = 0.49. Using the alkenes, for example propene, whic
h also react with O-3, the dependence on k(OH, i) can be related to a
dependence on tau(i). This allows us to estimate the OH concentration,
6 x 10(5) cm(-3), with an error of roughly a factor of 2 for this reg
ion (boundary layer, 30 degrees N-40 degrees N latitude, and 135 degre
es E-155 degrees E longitude in March). This estimate is essentially b
ased on empirical relations only and the assumption that the considere
d hydrocarbons have the same source distribution. As a by-product, we
show that the alpha defined above is related to the slope in the (loga
rithmic) correlation plot, between the mixing ratios of two trace gase
s with different lifetimes. We also show that the global distribution
of a appears to be a useful tool to diagnose fast regional transport.