Tropospheric motions deduced from sequential water vapor imagery provi
ded by geostationary meteorological satellites can be utilized to infe
r wind fields. Temporal tracking of moisture features yields spatially
coherent vector fields in both cloudy and cloud-free regimes. These o
bservations can be employed to augment existing operationally-availabl
e data in order to provide improved upper-tropospheric wind analyses o
ver meteorological scales ranging from sub-synoptic to global. It is d
emonstrated through assimilation of these data into numerical weather
prediction systems that modest forecast improvements can be realized.
Forecast impact experiments yield small but positive results in: 1) hu
rricane track forecasts, 2) regional-scale prediction, and 3) global-s
cale prediction. Ongoing research and future prospects are discussed.