I. Velicogna et al., Can surface pressure be used to remove atmospheric contributions from GRACE data with sufficient accuracy to recover hydrological signals?, J GEO R-SOL, 106(B8), 2001, pp. 16415-16434
The Gravity Recovery and Climate Experiment (GRACE) satellite mission will
resolve temporal variations in gravity orders of magnitude more accurately
and with considerably higher resolution than any existing satellite. Effect
s of atmospheric mass over land will be removed prior to estimating the gra
vitational field, using surface pressure fields generated by global weather
forecast centers. To recover the continental hydrological signal with ail
accuracy of 1 cin of equivalent water thickness down to scales of a few hun
dred kilometers, atmospheric pressure must be known to an accuracy of I mba
r or better. We estimate errors in analyzed pressure fields and the impact
of those errors on GRACE surface mass estimates by comparing analyzed field
s with barometric surface pressure measurements in the United States and No
rth Africa/Arabian peninsula. We consider (1) the error in 30-day averages
of the pressure field, significant because the final GRACE product will ave
rage measurements collected over 30-day intervals, and (2) the short-period
error in the pressure fields which would be aliased by GRACE orbital passe
s. Because the GRACE results will average surface mass over scales of sever
al hundred kilometers, we assess the pressure field accuracy averaged over
those same spatial scales. The atmospheric error over the 30-day averaging
period, which will map directly into GRACE data, is generally <0.5 mbar. Co
nsequently, analyzed pressure fields will be adequate to remove the atmosph
eric contribution from GRACE hydrological estimates to subcentimeter levels
. However, the short-period error in the pressure field, which would alias
into GRACE data, could potentially contribute errors equivalent to 1 cm of
water thickness. We also show that given sufficiently dense barometric cove
rage, an adequate surface pressure field can be constructed from surface pr
essure measurements alone.