Accurate but approximate formulae for determining the mass of the atmo
sphere in terms of the surface pressure p(s) are derived and applied t
o globally analyzed data from the European Centre for Medium-Range Wea
ther Forecasts (ECMWF) for 1985 through 1993. The formulae take into a
ccount effects of the shape of the Earth and variations in gravity wit
h latitude and height. Variations in total mass occur because of chang
es in the water vapor loading of the atmosphere. Independent computati
ons are made of the surface pressure due to water vapor p,, which is p
roportional to the precipitable water, using the ECMWF analyses of spe
cific humidity. Spurious trends in both the mass of dry air and the at
mospheric moisture are found to arise from changes in the analysis sys
tem at ECMWF, confounding attempts to seek real trends associated with
climate change. For the recent 4-year period 1990 to 1993 the mean an
nual p(s) was 984.76 mbar with a maximum in July of 984.98 mbar and a
minimum in December of 984.61 mbar which correspond to a total mean ma
ss of the atmosphere of 5.1441 x 10(18) kg with a range of 1.93 x 10(1
5) kg throughout the year associated with changes in water vapor in th
e atmosphere. The global mean p(w) for 1985-1993 is 2.58 mbar, but val
ues are 5 to 10% lower after mid-1992. Using the Special Sensor Microw
ave Imager data to make adjustments, the best estimate of the annual g
lobal p(w) is 2.4 mbar, corresponding to similar to 2.5 cm of precipit
able water. The total atmospheric moisture as given by p(w) varies wit
h an annual cycle range of 0.36 mbar, a maximum in July, and a minimum
in December. Thus the mean mass of water vapor is 1.25 x 10(16) kg an
d the dry air mass is 5.132 x 10(18) kg, corresponding to a mean surfa
ce pressure of 982.4 mbar. Overall uncertainties are similar to 0.1 mb
ar or 0.5 x 10(15) kg in total mass and about double those values for
atmospheric moisture content. As well as the global means, hemispheric
mean values and meridional profiles of p(s) and p(w) are presented fo
r the mean annual cycle and as latitude-time series to show the intera
nnual and longer-term variability.