Forecasting convective rainfall convective initiation heavy precipitation and

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Forecasting convective rainfall: convective initiation, heavy precipitation and flash flooding Robert Fovell University of

Forecasting convective rainfall: convective initiation, heavy precipitation and flash flooding Robert Fovell University of California, Los Angeles rfovell@ucla. edu

Heavy precipitation at a location = intensity + longevity

Heavy precipitation at a location = intensity + longevity

Common sources of heavy precipitation in U. S. • Mesoscale convective systems and vortices

Common sources of heavy precipitation in U. S. • Mesoscale convective systems and vortices • Orographically induced, trapped or influenced storms • Landfalling tropical cyclones

Mesoscale Convective Systems (MCSs)

Mesoscale Convective Systems (MCSs)

MCSs & precipitation facts • Common types: squall-lines and supercells • Large % of

MCSs & precipitation facts • Common types: squall-lines and supercells • Large % of warm season rainfall in U. S. and flash floods (Maddox et al. 1979; Doswell et al. 1996) • Initiation & motion often not well forecasted by operational models (Davis et al. 2003; Bukovsky et al. 2006) – Boundary layer, surface and convective schemes “Achilles’ heels” of regional-scale models – Improved convective parameterizations help simulating accurate propagation (Anderson et al. 2007; Bukovsky et al. 2006) • Supercells often produce intense but not heavy rainfall – Form in highly sheared environments – Tend to move quickly, not stay in one place

Number of events Seasonality of flash floods in U. S. Contribution of warm season

Number of events Seasonality of flash floods in U. S. Contribution of warm season MCSs clearly seen Maddox et al. (1979)

Linear MCS archetypes (e. g. , squall-lines) 58% 19% Parker and Johnson (2000)

Linear MCS archetypes (e. g. , squall-lines) 58% 19% Parker and Johnson (2000)

Squall-lines usually multicellular

Squall-lines usually multicellular

The multicell storm Browning et al. (1976) Four cells at a single time Or

The multicell storm Browning et al. (1976) Four cells at a single time Or a single cell at four times: unsteady

The multicell storm Unsteadiness = episodic entrainment owing to local buoyancy-induced circulations. Browning et

The multicell storm Unsteadiness = episodic entrainment owing to local buoyancy-induced circulations. Browning et al. (1976) Fovell and Tan (1998)

Storm motion matters How a storm moves over a specific location determines rainfall received

Storm motion matters How a storm moves over a specific location determines rainfall received Doswell et al. (1996)

Storm motion matters Doswell et al. (1996)

Storm motion matters Doswell et al. (1996)

Forecasting MCS motion (or lack of motion…)

Forecasting MCS motion (or lack of motion…)

19980714 - North Plains

19980714 - North Plains

Some common “rules of thumb” ingredients • CAPE (Convective Available Potential Energy) • CIN

Some common “rules of thumb” ingredients • CAPE (Convective Available Potential Energy) • CIN (Convective Inhibition) • Precipitable water • Vertical shear - magnitude and direction • Low-level jet • Midlevel cyclonic circulations

Some common “rules of thumb” • MCSs tend to propagate towards the most unstable

Some common “rules of thumb” • MCSs tend to propagate towards the most unstable air • 1000 -500 mb layer mean RH ≥ 70% • MCSs tend to propagate parallel to 1000 -500 mb thickness contours • MCSs favored where thickness contours diverge • MCSs “back-build” towards higher CIN • Development favored downshear of midlevel cyclonic circulations

H r. R ye la % 70 70% RH rule of thumb Implication: Relative

H r. R ye la % 70 70% RH rule of thumb Implication: Relative humidity more skillful than absolute humidity RH > 70% # = precip. category Junker et al. (1999)

MCSs tend to follow thickness contours Implication: vertical shear determines MCS orientation and motion.

MCSs tend to follow thickness contours Implication: vertical shear determines MCS orientation and motion. Thickness divergence likely implies rising motion

Back-building towards higher CIN Lifting takes longer where there is more resistance

Back-building towards higher CIN Lifting takes longer where there is more resistance

Corfidi vector method Propagation is vector difference P=S-C Therefore, S = C + P

Corfidi vector method Propagation is vector difference P=S-C Therefore, S = C + P

Example

Example

Schematic example We wish to forecast system motion So we need to understand what

Schematic example We wish to forecast system motion So we need to understand what controls cell motion and propagation

Individual cell motion • “Go with the flow” • Agrees with previous observations (e.

Individual cell motion • “Go with the flow” • Agrees with previous observations (e. g, Fankhauser 1964) and theory (classic studies of Kuo and Asai) Cells tend to move at 850 -300 mb layer wind speed* Corfidi et al. (1996) *Layer wind weighted towards lower troposphere, using winds determined around MCS genesis. Later some slight deviation to the right often appears

Individual cell motion Cells tend to move at 850 -300 mb layer wind speed

Individual cell motion Cells tend to move at 850 -300 mb layer wind speed Corfidi et al. (1996) Cell direction comparable To 850 -300 mb layer wind direction

Composite severe MCS hodograph Bluestein and Jain (1985)

Composite severe MCS hodograph Bluestein and Jain (1985)

Composite severe MCS hodograph Low-level jets (LLJs) are common Note P ~ -LLJ Bluestein

Composite severe MCS hodograph Low-level jets (LLJs) are common Note P ~ -LLJ Bluestein and Jain (1985)

Propagation vector and LLJ • Many storm environments have a low-level jet (LLJ) or

Propagation vector and LLJ • Many storm environments have a low-level jet (LLJ) or wind maximum Propagation vector direction P ~ -LLJ • Propagation vector often anti-parallel to LLJ Corfidi et al. (1996)

Forecasting system motion using antecedent information Cell motion ~ 850 -300 mb wind Propagation

Forecasting system motion using antecedent information Cell motion ~ 850 -300 mb wind Propagation ~ equal/opposite to LLJ S = C - LLJ

Evaluation of Corfidi method Method skillful in predicting system speed and direction Corfidi et

Evaluation of Corfidi method Method skillful in predicting system speed and direction Corfidi et al. (1996)

Limitations to Corfidi method • Wind estimates need frequent updating • Influence of topography

Limitations to Corfidi method • Wind estimates need frequent updating • Influence of topography on storm initiation, motion ignored • Some storms deviate significantly from predicted direction (e. g. , bow echoes) • P ~ -LLJ does not directly capture reason systems organize (shear) or move (cold pools) • Beware of boundaries! • Corfidi (2003) modified vector method

http: //locust. mmm. ucar. edu/episodes

http: //locust. mmm. ucar. edu/episodes

5 June 2004 X = Hays, Kansas, USA

5 June 2004 X = Hays, Kansas, USA

Mesoscale Convective Vortices (MCVs)

Mesoscale Convective Vortices (MCVs)

Cyclonic vortex following squall line Not a clean MCV case

Cyclonic vortex following squall line Not a clean MCV case

Potential vorticity (PV) anomalies PV anomaly shown drifting in westerly sheared flow Raymond and

Potential vorticity (PV) anomalies PV anomaly shown drifting in westerly sheared flow Raymond and Jiang (1990)

Potential vorticity (PV) anomalies Ascent occurs on windward (here, east) side… destabilization Raymond and

Potential vorticity (PV) anomalies Ascent occurs on windward (here, east) side… destabilization Raymond and Jiang (1990)

Potential vorticity (PV) anomalies Cyclonic circulation itself results in ascent on east side Raymond

Potential vorticity (PV) anomalies Cyclonic circulation itself results in ascent on east side Raymond and Jiang (1990)

Potential vorticity (PV) anomalies Combination: uplift & destabilization on windward side AND downshear side

Potential vorticity (PV) anomalies Combination: uplift & destabilization on windward side AND downshear side Raymond and Jiang (1990)

Composite analysis of MCV heavy rain events • Based on 6 cases poorly forecasted

Composite analysis of MCV heavy rain events • Based on 6 cases poorly forecasted by models • Composite at time of heaviest rain (t = 0 h) • Heaviest rain in early morning • Heaviest rain south of MCV in 600 mb trough 600 mb vorticity (color), heights and winds. Map for scale only Schumacher and Johnson (2008)

Schumacher’s situation “Hairpin” hodograph: Sharp flow reversal above LLJ

Schumacher’s situation “Hairpin” hodograph: Sharp flow reversal above LLJ

Schumacher’s situation South side of MCV is windward at low-levels and downshear relative to

Schumacher’s situation South side of MCV is windward at low-levels and downshear relative to midlevel vortex

Back-building Ground-relative system speed ~ 0 Schumacher and Johnson (2005) Doswell et al. (1996)

Back-building Ground-relative system speed ~ 0 Schumacher and Johnson (2005) Doswell et al. (1996)

Evolution of the heavy rain event At t - 12 h (afternoon): - MCV

Evolution of the heavy rain event At t - 12 h (afternoon): - MCV located farther west - 900 mb winds fairly light 600 mb vorticity, 900 mb winds & isotachs Schumacher and Johnson (2008)

Evolution of the heavy rain event At t - 6 h (evening): - MCV

Evolution of the heavy rain event At t - 6 h (evening): - MCV drifted west - 900 mb winds strengthening (LLJ intensifying) 600 mb vorticity, 900 mb winds & isotachs Schumacher and Johnson (2008)

Evolution of the heavy rain event At time of heaviest rain (midnight): - 900

Evolution of the heavy rain event At time of heaviest rain (midnight): - 900 mb jet well developed - LLJ located east, south of MCV 600 mb vorticity, 900 mb winds & isotachs Schumacher and Johnson (2008)

Evolution of the heavy rain event At t + 6 h (morning): rain decreases

Evolution of the heavy rain event At t + 6 h (morning): rain decreases as LLJ weakens 600 mb vorticity, 900 mb winds & isotachs Schumacher and Johnson (2008)

Episodes of MCSs & predictability Hovmoller diagrams reveal westwardpropagating MCSs Note “envelope” of several

Episodes of MCSs & predictability Hovmoller diagrams reveal westwardpropagating MCSs Note “envelope” of several systems with “connections” Carbone et al. (2002)

MCV role in predictability Carbone et al. (2002)

MCV role in predictability Carbone et al. (2002)

“Training lines” of cells • In Asia, stationary front could be the Mei-Yu (China),

“Training lines” of cells • In Asia, stationary front could be the Mei-Yu (China), Baiu (Japan) or Changma (Korea) front • Motion along the front and/or continuous backbuilding Schumacher and Johnson (2005)

X Record 619 mm in 15 h at Ganghwa, Korea shear Lee et al.

X Record 619 mm in 15 h at Ganghwa, Korea shear Lee et al. (2008) Sun and Lee (2002)

2 -3 April 2006

2 -3 April 2006

Why did new cells appear ahead of the mature line?

Why did new cells appear ahead of the mature line?

New cell initiation ahead of squall-lines The waves themselves disturb the storm inflow Fovell

New cell initiation ahead of squall-lines The waves themselves disturb the storm inflow Fovell et al. (2006)

New cell initiation ahead of squall-lines …some of which can develop into precipitating, even

New cell initiation ahead of squall-lines …some of which can develop into precipitating, even deep, convection Fovell et al. (2006)

14 km New cell initiation ahead of squall-lines 150 km Fovell et al. (2006)

14 km New cell initiation ahead of squall-lines 150 km Fovell et al. (2006)

Importance of antecedent soil moisture conditions (Generally not captured well by models)

Importance of antecedent soil moisture conditions (Generally not captured well by models)

Tropical Storm Erin (2007) http: //en. wikipedia. org/wiki/Image: Erin_2007_track. png

Tropical Storm Erin (2007) http: //en. wikipedia. org/wiki/Image: Erin_2007_track. png

Erin’s redevelopment over Oklahoma Emanuel (2008) http: //www. meteo. mcgill. ca/cyclone/lib/exe/fetch. php? id=start&cache=cache&media=wed 2030.

Erin’s redevelopment over Oklahoma Emanuel (2008) http: //www. meteo. mcgill. ca/cyclone/lib/exe/fetch. php? id=start&cache=cache&media=wed 2030. ppt

Erin inland reintensification • Hot and wet loamy soil can rapidly transfer energy to

Erin inland reintensification • Hot and wet loamy soil can rapidly transfer energy to atmosphere • Previous rainfall events left Oklahoma’s soil very wet • Need to consider antecedent soil moisture and soil type Emanuel (2008) see also Emanuel et al. (2008)

Soil T as Erin passed Emanuel (2008)

Soil T as Erin passed Emanuel (2008)

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