Mesoscale gravity waves display periods of 1-4 h, have wavelengths of
50-500 km, and can have important effects upon the sensible weather. R
eal-time prediction, detection, and nowcasting of these mesoscale phen
omena is shown to be feasible, due to recent major advances in operati
onal observing and modelling systems. The ability to predict the likel
ihood of a gravity wave event rests upon recognizing the synoptic flow
pattern in which such waves are consistently found to occur The delin
eation of the most likely region for wave activity can be further refi
ned by computing simple indicators of unbalanced flow and conducting a
cursory search for a suitable wave ''duct'' with meso-Eta Model data.
particular emphasis should be placed on propagating unbalanced fields
. Whenever and wherever a suitable gravity wave environment is found,
the Automated Surface Observing System pressure data should be careful
ly monitored for evidence of gravity wave activity. An automated gravi
ty wave detection system is developed. It is shown that application of
a time-to-space conversion adaptation of the Barnes objective analysi
s scheme to bandpass-filtered 5-min surface observations enables the d
etection of gravity waves with scales as small as 150 km and their sep
aration from smaller-scale convective phenomena. This scheme requires
accurate knowledge of the wave propagation velocity. A method is prese
nted and successfully tested for this purpose, which is based on an ad
aptation of wave-ducting theory to the mesoscale model forecast fields
. The proposed procedure is demonstrated with a gravity wave event tha
t occurred during STORM-FEST. A solitary wave of depression formed as
an upper-level jet streak approached an inflection axis in the difflue
nt height field downstream of the Rocky Mountains. This wave generatio
n region was diagnosed from mesoscale model forecasts as being unbalan
ced. A wave duct was diagnosed north of a warm front in both the model
forecasts and the STORM-FEST soundings over the region traversed by t
he observed waves. The analysed pressure and wind perturbation fields
successfully portray the evolution of the gravity wave into a wave tra
in as strong thunderstorms developed with the wave. The mesoscale mode
l produced a gravity wave similar in most respects to that analysed pr
ior to the development of convection. These results suggest that mesos
cale gravity waves can be predicted and analysed with operationally av
ailable data and numerical model guidance.