lee cyclogenesis in the (western) mediterranean
DESCRIPTION
Lee cyclogenesis in the (western) Mediterranean. Kristian Horvath, DHMZ horvath @cirus.dhz.hr. Presenter. Kristian Horvath , DHMZ PhD in 2008 : U pper-level dynamics and lee cyclogenesis Postdoc 09/10 : dynam i cal downscaling @ DHMZ + Desert Research Institute, USA Areas of interest: - PowerPoint PPT PresentationTRANSCRIPT
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Presenter
• Kristian Horvath, DHMZ• PhD in 2008: Upper-level dynamics and
lee cyclogenesis• Postdoc 09/10: dynamical downscaling @
DHMZ + Desert Research Institute, USA• Areas of interest:
– Lee cyclogenesis and severe winds
– Dynamical downscaling
– Meteotsunamis
– Data assimilation
– Wind energy applications
• http://radar.dhz.hr/~horvathInternational conference on Alpine meteorology, Chambery, France, 2007
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Contents
• A classification of cyclone activity in the Mediterranean
• Numerical analysis of MAP IOP 15 Genoa lee cyclogenesis
• Conclusions
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Classification: Introduction
• Cyclonic activity over the Mediterranean strongly determines the weather and climate in the region
• Extreme weather (severe winds, HPE) often associated with the cyclone existence in the Mediterranean
• Existing classifications:– Synoptic: early subjective (even
from 19th century) and objective– Mesoscale: still mostly subjective
due to lack of mesoscale reanalysis
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Where do we find the highest number of cyclones in the Mediterranean?
ALPS
Pyrenees
Atlas Mnt.
Dinaric Alps
ApenninesBalkan Mnt..
Turkish Mnt.
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Classification: ERA-40 (~125 km)
Trigo et al., 1999
Selection criteria:MSLP minimum
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Classification: ERA-40 (~125 km)
Trigo et al., 1999
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Classification: HIRLAM (~60 km)
Campins et al., 2006Higher-resolution data:Increased number of cyclonesNew cyclogenetic areasObjective classifications are highly sensitive to criteria applied (factor of ~10, Gill et al., 2002)
SUMMER WINTER
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Classification: HIRLAM (~60 km)
Campins et al., 2006
SHALLOW DEEP
Shallow summer cyclones (thermal lows) & deep winter cyclones
Thermal lows are frequent, however, are these cyclones ?
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Are thermal lows cyclones ?
Yes No
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Are thermal lows cyclones ?
Thermal lows are pressure lows which are:1. stationary 2. non-frontal 3. with weak and diffuse cyclonic circulation
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Classification: meso-beta cyclones (20-200 km)
• Synoptic classifications have contraints (e.g. effective model resolution is ~5dx)
• For many areas in the Mediterranean, mesoscale classifications are essential
• E.g., scales relevant for the Adriatic basin (~200 km)
• Main challenges: – Mesoscale surface data nor high-resolution reanalysis (e.g. 10
km) not available – Scale and complex orography make objective algorithms
extremely hard to design (e.g. mesolows are not cyclones)
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Classification: Mesoscale methodology
• ECMWF T511 long cut-off operational reanalysis (4 years, 6-hourly, ~40km)
• Mesoscale objective analysis• 1. Cyclone criteria
– MSLP minimum of 2 hPa– Closed circulation (streamlines)
• 2. Definition of track types– Place of origin– Cyclone continuity over the Apennines
(continuous or discontinuous)
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Classification: Type A – Genoa cyclone
• Type A-I - continuous Type A-II - discontinuous
DJF MAM JJA SON TOTALA-I 14 6 7 8 35A-II 4 2 0 4 10
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Classification: Type B – Adriatic cyclone and Type AB – “Twin” (“eyeglass”) cyclone
• Adriatic (Type A-I, A-II) cyclone “Twin” cyclone (Type AB)
DJF MAM JJA SON TOTALB 10 6 11 7 34
AB 3 2 1 2 8
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Contents
• A classification of cyclone activity in the Mediterranean
• Numerical analysis of MAP IOP 15 Genoa lee cyclone
• Conclusions
5 June 2012 Cyclone week 2012 173. ICTP Conf., Trieste, Italy DHMZ 17
Sensitivity to initial-analysis dynamical uncertainties
• Alpine lee or Genoa cyclones are one of the most frequent cyclones in the mid-latitudes
• Genoa cyclone occurs in association with a pre-existing cyclone and synoptic upper-level trough in 2 phases (BT1978, BM1982):– Rapid formation of a shallow cyclone due to frontal retardation– Further less-rapid deepening due to baroclinic interaction with
the upper-level trough and extraction of energy from the mean flow
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Lee cyclogenesis: Introduction: Theories
• Two main theories (linear, QG, Ro<<1):– Baroclinic lee wave (Smith 1984)– Orographic modification of baroclinic instability (SBTM 1985)
• Numerical test: (excessive) violation of linearity and balanced dynamics in the first phase (Egger, 1988)
SmithSperanzaEgger
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Lee cyclogenesis: Introduction: Potential vorticity approach
• Potential vorticity (PV)
• “PV thinking”– Conservation of PV– Invertibility principle
• Application to understanding of lee cyclogenesis
)(1
fq
Review by Hoskins et al., 1985)
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Potential vorticity and waver-vapour analysis
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Potential vorticity and waver-vapour analysis
Wave-vapor imagery can be used also to detect discrepancies between the observations and the numerical model results !
Large moisture gradient
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Sensitivity to initial-analysis dynamical uncertainties
• The key roles in formation of Genoa cyclones is due to the Alpine orography and the upper-level trough
• The predictability depends mainly on the features of the upper-level trough
• Q1: how to estimate the realistic initial-analysis dynamical uncertainties in the upper-levels?
• Q2: what is the influence of these uncertainties to the development of Genoa lee cyclone?
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Sensitivity to initial-analysis dynamical uncertainties: PV error statistics
• Statistics of the Ertel’s PV (ErPV)– calculated through the differences in the ECMWF and NCEP
reanalysis– 21 case of the deepest Mediterranean cyclones (1996-2006)
• Statistics methodology– Phase/displacement error (km) evaluated on the basis of
maximum correlation between mesoscale “cores” of the upper-level ErPV
– Amplitude/intensity error ( f(ErPV), %) based on the ErPV fields with “subtracted” phase error
• Since PV can be traced from the satellite imagery, the error statistics could be calculated by using satellite data !
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Sensitivity to initial-analysis dynamical uncertainties: PV error statistics
• phase (displ.) and amplitude (intensity) errors at 300 hPa
Extreme errorsclose to 150 km
Average errorsclose to 50 km
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Introduction
• Deep and rapid Genoa lee cyclone 06-10 November 1999 (MAP IOP 15)
• Extreme weather conditions:– Heavy rain in the northern Italy > 60 mm / 12 h– Gale winds in the northern Adriatic (10-min average >
25 ms-1, gusts > 40 ms-1)
• MM5 mesoscale model at 2.5 km and 35 vertical levels driven with ECMWF T511 analysis
• Parameterizations: Kain-Fritsch 2 CPS, MRF PBL, Reisner 2 microphysics
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Synoptic overview
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Modification of the initial conditions
• Macroscale modifications of the upper-level dynamics only (PV error integrated over 500-100 hPa for PVU>1)
• Choice made: 90th percentile to reflect the greatest possible dynamical initial-analysis errors– Phase – 157.5 km– Amplitude – 23 %
• => application to the MAP IOP 15 upper-level trough:– Moving the trough to the E, W, N and S– Increase and decrease the trough intensity
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Modifications of initial conditions
7E
+p17S7W
7N -p1
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Results: MSLP
• The greatest spread of intensity (18 hPa) in the most intensive deepening phase
985
990
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10001005
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1020
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Results: cyclone tracks
• Initial increase of the spread of cyclone tracks (~250 km)• The highest spread of tracks in mature phase (~750km)
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Results: cyclone tracks
• The spread of tracks in the initial phase due to changes of the background flow (non-)linearity
Cyclone centre Cyclone centre
Strengthened PVWeakened PV
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Results: cyclone tracks
• The spread of tracks in the mature phase due to differing upper-level dynamics (“cut-off”)
7E
+p17S7W
7N -p1
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Results: Bora
• Macroscale and mesoscale chains of events
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Sensitivity to initial-analysis dynamical uncertainties: MAP IOP 15: Results: Bora
• Bora strength (± 30%) depends on the intensity and position of the cyclone
• However, “details” strongly differ (-p1,7W)
• Q: what is the influence of the initial-analysis uncertainties to the background flow impinging on the Dinaric Alps?
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/s]
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con 7E 7N 7S 7W -p1 +p1
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Sensitivity study: MAP IOP 15: Bora
• Charactersitics of the background flow investigated through the analysis of:
• Scorer parameter– variations in synoptically
induced critical levels
• Froude number– variations in flow regimes
500
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12 UTC 08 Nov, l [1000/m]
p [
hP
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+p1
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p [
hP
a]
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Conclusions: Classification of Mediterranean cyclones
• Main cyclogenetic areas in the Mediterranean are near the mountains such as the Alps, the Atlas, the Apennines, the Balkan mnts etc.
• Two main types of cyclones in the Mediterranean:– Deep winter cyclones (mostly lee cyclones)– Shallow summer cyclones (mostly thermal lows)
• Meso-beta cyclones hardly identified in global reanalysis may be equally frequent as the larger-scale cyclones
• Special cyclone types do exist – e.g. discontinuous cyclones, twin cyclones, rotational twin cyclones etc.
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Conclusions: numerical analysis of lee cyclogenesis
• Large sensitivity of Genoa cyclone to upper-level trough details for:– Intensity: in the most rapid deepening phase (18 hPa)– Track: in the late mature phase (750 km)
• The sensitivity of Bora wind strength to initial-analysis dynamical uncertainties equals ± 30%
• The water vapour satellite imagery is useful for analysis of the upper-level dynamical processes (troughs, jet streaks)
• Satellite products may provide the realistic potential vorticity error estimates important for everyday probabilistic NWP
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THANK YOU !