Sl. Barnes et al., EXTRACTING SYNOPTIC-SCALE DIAGNOSTIC INFORMATION FROM MESOSCALE MODELS - THE ETA-MODEL, GRAVITY-WAVES, AND QUASI-GEOSTROPHIC DIAGNOSTICS, Bulletin of the American Meteorological Society, 77(3), 1996, pp. 519-528
Fine-mesh models, such as the eta model, are producing increasingly de
tailed predictions about mesoscale atmospheric motions. Mesoscale syst
ems typically produce stronger vertical motions than do synoptic-scale
storms, making it more difficult for forecasters to assess the streng
th of the latter's dynamics when the signals are overwhelmed by mesosc
ale processes. This paper describes a method for extracting synoptic-s
cale information from mesoscale model data. Predicted height fields fr
om the 29-km eta model are investigated to determine the filtering and
smoothing requirements necessary to resolve synoptic-scale patterns o
f vertical motions using quasigeostrophic (QG) diagnostics. The select
ed late-fall case includes a jet stream that enters the continent over
the Pacific Northwest, resulting in orographically induced troughs in
the lee of the Cascade Range and Rocky Mountains. Gravity waves are f
ound to emanate from this region in area that reach Hudson Bay to the
northeast and extend to the Caribbean in the southeast. Individual gra
vity wave crests (similar to 240 km apart) are of sufficient amplitude
(5 to 10 m at 500 mb) to dominate the expected synoptic-scale vertica
l motions by two orders of magnitude. A numerical filter based on a tw
o-dimensional diffraction function is designed, tested, and found to e
liminate the influence of the gravity waves effectively. The filtered
model data are then able to reveal synoptic-scale vertical motion patt
erns in all areas except the vicinity of the lee troughs, which still
dominate QG forcing near the jet axis.