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By Eyad Atallah and John Gyakum. The impact of the St. Lawrence Valley on the Precipitation Distributions of Hurricanes Katrina and Rita (2005). McGill University. Motivation. The St. Lawrence Valley strongly modulates the near surface winds. - PowerPoint PPT Presentation
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THE IMPACT OF THE ST. LAWRENCE VALLEY ON THE
PRECIPITATION DISTRIBUTIONS OF
HURRICANES KATRINA AND RITA (2005)
McGill University
By Eyad Atallah and John Gyakum
Motivation The St. Lawrence
Valley strongly modulates the near surface winds.
The results are a mostly bi-modal wind distribution, with winds either from the west-southwest or from the Northeast.
Motivation This wind channelling
(see Carrera et al. 2009) can have a significant impact on the sensible weather.
Historically, this has been thought to mostly be important for precipitation type.
Motivation However, the wind channelling can also serve as a
focus for precipitation, through enhanced frontogenesis, when cyclones approach the Valley from the southwest.
L
Since this is a relatively shallow phenomenon, can it really significantly impact precipitation distribution?
Question
Anecdotally, the answer is yes
Precipitation map from Hurricane Ike (2008).
Precipitation appears more dependent on Valley location than actual cyclone track
So what about Katrina and Rita
Katrina
Rita
Data METAR surface observations Balloon soundings North American Regional Reanalysis
(NARR)
DataShockingly, the NARR seems to actually capture this process
Composite structures for NE wind events at YUL, n=20 and n=7
respectively
Katrina
Surface Observations Aug 31, 03Z
Surface Observations Aug 31, 09Z
Surface Observations Aug 31, 15Z
Surface Observations Aug 31, 18Z
Surface Observations Sep 01, 00Z
YUL Meteogram Aug, 31
MSLP and Surface Frontogenesis
Fronto-genesis based on 30 m wind and potential temperature in .1K 100 km-1 3 h-1
12Z/30
MSLP and Surface Frontogenesis
Fronto-genesis based on 30 m wind and potential temperature in .1K 100 km-1 3 h-1
18Z/30
MSLP and Surface Frontogenesis
Fronto-genesis based on 30 m wind and potential temperature in .1K 100 km-1 3 h-1
00Z/31
MSLP and Surface Frontogenesis
Fronto-genesis based on 30 m wind and potential temperature in .1K 100 km-1 3 h-1
06Z/31
MSLP and Surface Frontogenesis
Fronto-genesis based on 30 m wind and potential temperature in .1K 100 km-1 3 h-1
12Z/31
MSLP and Surface Frontogenesis
Fronto-genesis based on 30 m wind and potential temperature in .1K 100 km-1 3 h-1
18Z/31
The key is stability
So how can such a shallow process impact precipitation?
Soundings from Maniwaki
00 Z 31 Aug 12 Z 31 Aug
Cross Sections-Full Frontogenesis
Blue lines represent Omega with dashed lines for ascent
Solid black lines for theta-e
Frontogenesis shaded
06Z / 31 AUG
Cross Sections-Full Frontogenesis
As the potentially unstable air approaches the St. Lawrence Valley, ascent is triggered in the lowest 500 hPa.
12Z / 31 AUG
Cross Sections-Geo Frontogenesis
The geostrophic frontogenesis is initially weak and not appropriately situated relative to the ascent
12Z / 31 AUG
Cross sections-Full Frontogenesis
The ascent eventually becomes troposphere deep by 15Z.
15Z / 31 AUG
Rita
YQB Meteogram Sep, 26
Cross Sections-Full Frontogenesis
Blue lines represent Omega with dashed lines for ascent
Solid black lines for theta-e
Frontogenesis shaded
06Z / 26 Sep
Cross Sections-Full Frontogenesis
Ascent is again triggered, however, omega profiles suggest more slant-wise ascent
12Z / 26 AUG
Cross Sections-Full Frontogenesis
The frontogenesis maximizes at about 15Z, along with the greatest ascent
15Z / 26 AUG
Cross Sections-Geo Frontogenesis
The geostrophic frontogenesis is almost completely absent. Furthermore, unlike Katrina, deep veering is almost non-existent.
15Z / 26 AUG
Conclusions The St. Lawrence Valley can impact not only
precipitation type but location and intensity. While forcing for ascent is shallow, stability
profiles result in deep ascent. An argument can be made that this this
process is most efficient in the warm season, and especially related to extratropical transition because of the inherently moist/unstable air masses involved.