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Weather system dynamics Michael Revell NIWA [email protected].

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Weather system dynamics Michael Revell NIWA [email protected]
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Page 1: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Weather system dynamics

Michael RevellNIWA

[email protected]

Page 2: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Introduction

• What are the main weather related hazards in New Zealand?

• What are the weather systems that produce these hazards?

• What drives them?• What is their structure?• Where and when are they most likely to occur?• Can we predict them?

• How should we respond? – Your job!

Page 3: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Introduction

• What are the main weather related hazards in New Zealand?

Page 4: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Weather hazards

• Floods• Severe winds• Hail• Frosts• Snow• Ice• Lightning

Page 5: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Flood Flood

Wind Wind

Tornado

Snow

Page 6: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Weather hazards (cont)Weather hazards (cont)

• Can you think of any others?Can you think of any others?• Coastal waves – inundation / erosionCoastal waves – inundation / erosion• Subject of other workshopsSubject of other workshops

• Today focus on first 3Today focus on first 3• FloodsFloods• Severe windsSevere winds• HailHail

• Relative costs?Relative costs?

Page 7: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Weather related Insurance claims

Annual insurance claims by hazard type(1968, 1975 to 2002)

0

50

100

150

200

250

300

350

400

1968

1975

1976

1977

1978

1979

1980

1981

1982

1983

1984

1985

1986

1987

1988

1989

1990

1991

1992

1993

1994

1995

1996

1997

1998

1999

2000

2001

2002

Year

$M

(in

fl. a

dj.

Ma

r 2

00

0) Quake ($357M)

Maritime ($124M)

Storm ($250M)

Flood ($494M)

Page 8: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Insurance industry payouts as a function of hazard typeInsurance industry payouts as a function of hazard typeBetween 1968 and 1997 (Total = 1.05 Billion)Between 1968 and 1997 (Total = 1.05 Billion)

• E – Bay of Plenty earthquake (1987)E – Bay of Plenty earthquake (1987)• F1 – Invercargill floods (1984)F1 – Invercargill floods (1984)• F2 – Cyclone Bola (1988)F2 – Cyclone Bola (1988)• F3 – Otago floods (1978)F3 – Otago floods (1978)• F4 – Wellington floods (1976)F4 – Wellington floods (1976)• W1 – Wahine (Ship) (1968)W1 – Wahine (Ship) (1968)• W2 – Canterbury wind storm (1976)W2 – Canterbury wind storm (1976)• W3 – Wahine (Storm) (1968)W3 – Wahine (Storm) (1968)• H – Hastings hail storm (1994)H – Hastings hail storm (1994)• S – Canterbury snow storm (1992)S – Canterbury snow storm (1992)• F - Queenstown 58m – 1999F - Queenstown 58m – 1999• F - Manawatu >300m? – 2004F - Manawatu >300m? – 2004• F - BoP ~50m? - 2004F - BoP ~50m? - 2004

E33%

F9%

F5%F

5%

F4%

F3%

F3%

W11%

W5%

W4%

H1%

S1%

Page 9: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Weather systems

• What are the weather systems that produce these hazards?

Page 10: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Weather systems that cause these hazards

• Tropical cyclones – rain/wind• Subtropical cyclones – rain/wind• Midlatitude cyclones – wind/rain/snow

• Fronts – wind/rain/hail/snow• Thunderstorms – rain/hail/wind• Tornadoes - wind

Page 11: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

• Why does understanding how weather systems work Why does understanding how weather systems work help you?help you?

– Know which weather systems produce which hazardsKnow which weather systems produce which hazards– Know where in the systems the various hazards occurKnow where in the systems the various hazards occur– Know what the precursors for the various hazards areKnow what the precursors for the various hazards are– Know how predictable various hazards areKnow how predictable various hazards are

Page 12: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Tropical cyclone (Erica)Tropical cyclone (Erica)rain / windrain / wind

Page 13: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Subtropical cyclonerain/wind

FrontFrontwind/rain/hail/snowwind/rain/hail/snow

Mid/high latitude cycloneMid/high latitude cyclonewind/rain/snowwind/rain/snow

Page 14: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Thunderstormrain/hail/wind

Page 15: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

TornadoTornadowindwind

Page 16: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

What drives these weather systems?

Motion ultimately driven by the sun

1. It heats the equator more than the pole– due to its spherical shape

Page 17: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

• 2. It heats the surface more than upper levels2. It heats the surface more than upper levels– due to the fact that short wave radiation is mostly absorbed due to the fact that short wave radiation is mostly absorbed

at surfaceat surface

Page 18: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Net effect is the equator and the surface keep getting hotter

• Weather is the atmosphere trying to restore thermodynamic equilibrium.

• It tries to do this in the most efficient way• Tropics dominated by overturning

– Reducing vertical temperature gradient

• Higher latitudes by sloping convection– Reducing horizontal temperature gradient

• Hazards occur when we put ourselves or structures in the way.

Page 19: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Consider each weather system type in turn

• What is their structure?

• Where and when are they most likely to occur?

• Can we predict them?

Page 20: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Tropical cyclone

Page 21: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Tropical Cyclones• Usually referred to as hurricanes, typhoons and cyclones in other parts

of the world—are intense cyclonic storms of tropical origin. Surface winds can reach over 200 km/hour, and almost as if to accentuate this violence their central region or eye, of 20 to 50 km width, is calm and often completely clear. Luckily for us, there is no evidence of a tropical cyclone ever having reached New Zealand. As a tropical cyclone moves southward towards us, it encounters strong vertical shear in the wind such as upper jet streams. Coupled with the drop in sea temperature, this increasing background wind shear destroys the mechanism that maintains a tropical cyclone, and so it undergoes a transformation into a mid-latitude or ex-tropical cyclone. It is worth noting, however, that the “baggage” left over from the tropical cyclone, such as the residual clockwise circulation and very moist air it contains, mean that these ex-tropical cyclones can become some of the most devastating mid-latitude storms that New Zealand will experience. Examples are tropical cyclone Gisele that reformed to become the April 1968 Wahine storm and ex-tropical cyclone Bola that washed away huge amounts of topsoil in the Gisborne region in March 1988 and caused $90M damage.

Page 22: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

15 km

500 km

Idealised flow in a hurricane seen as a dissected section

Page 23: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Tropical cyclones (when)Tropical cyclones (when)• 81 out of 251 TC’s made it S of 35°S

All TCs, 1970-97 ET (S of 35°S), 1970-97

Highest fraction in March

Page 24: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Tropical cyclones (where)TC track density, 70-97

Contours are numbers per annum of TCs passing within 555 km of each location

Page 25: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Tropical cyclones (cont)Tropical cyclones (cont)

TC average intensity, 1-4, 70-97

Page 26: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Shear and SST (SH)Average Feb 200 mb flow (every 5 m/s)

Page 27: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Average Feb SST (°C)

Page 28: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

NH

Sept 200mb Flow

Sept SST oC

Page 29: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Extratropical transformationExtratropical transformation

• Process whereby a TC transforms from a hurricane Process whereby a TC transforms from a hurricane to an extratropical cycloneto an extratropical cyclone

• Hurricane structure Hurricane structure – Warm core, symmetric, anticyclonic outflow aloft, Warm core, symmetric, anticyclonic outflow aloft,

convergent cyclonic flow beneath, symmetric ascent patternconvergent cyclonic flow beneath, symmetric ascent pattern

• Mid-latitude cycloneMid-latitude cyclone– Asymmetric thermal and ascent fields, baroclinic structure Asymmetric thermal and ascent fields, baroclinic structure

with frontswith fronts

• e.g. TC Gisele and the Wahine storm - 1968e.g. TC Gisele and the Wahine storm - 1968

Page 30: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Predictability?

• Central core dynamics occur on scales of a few km– Most global NWP models don’t resolve them

• Models resolve the large scale environment but initiation rather random– Can predict areas in which they are likely but generally not

the individual events

• Models do better as they move past the transition stage to higher latitudes

Page 31: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Mid/high latitude cyclone

Page 32: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Mid-high latitude cyclonesSometimes referred to as depressions or lows - usually

form within the belt of westerly winds encircling the globe between 30° and 70° S. They generally move from west to east, bringing a period of unsettled weather, with wind, cloud and precipitation, most noticeably at fronts. Mid-latitude cyclones are energized by sizeable contrasts in temperature with latitude that are caused by solar heating imbalances. The warm air flows southward and upward ahead of (east of) the low and the cold air flows northward and downward behind (west of) the cyclone centre. In addition most of the cloud and precipitation occurs in the rising warm air ahead of the cyclone, in contrast to the symmetric rainband of the tropical cyclone.

Page 33: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Structure

Currents in an active midlatitude cyclone as seen from above by an observer moving with the centre (heavier stippling denotes cloud)

1 km

3 km

Cold air 3 km

Cold air

1 km

5 km

Warm air

1 km

Merging5 km

Page 34: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

When and where

• These systems occur all year round• Generally between 30 and 70 S• Strongest winds and vertical motion associated with

fronts

Page 35: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Predictability?

• Most global models resolve their initiation and development well out to 3-5 days

• The limiting factors are1. Model error (model physics inaccurate)

2. Errors in specification of starting fields

3. Weather prediction inherently chaotic (little errors grow into big errors)

• Ensemble methods are being used to help problems 2 and 3 above

Page 36: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Sub-tropical cyclone

Darwin

Mt Isa

Alice Springs 19/00 987.5

19/12 985.5

Charleville

20/00 985.5

20/12 988.4

Cobar

Sydney

15/00 1004.3 15/12 1001.9

16/00 1000.7

16/12 998.7 17/00 997.5

18/00 994.6

17/12 996.1

18/12 992.2

Page 37: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

When and where

• These systems occur all year round• Generally between 20 and 30 S• Weak temperature contrast across the storm• Large vertical motion and associated latent heat

release which can lead to rapid deepening on small scales

Page 38: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Predictability?

• The faster growth rate on smaller scales due to moist processes amplifies any model or initial specification error– These systems tend not to be predicted consistently as well

as higher latitude systems– There are exceptions like the weather ‘bomb’ which was

forecast well 3 days ahead

Page 39: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Fronts:

What are they?Useful concept?

Cold

WarmFlow Flow

Page 40: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Cause

• Fronts form as a natural consequence of cyclone development where existing temperature gradients are concentrated by shear or confluence

• Just as cyclones can be viewed as the consequence of instability of the Hadley circulation

• Fronts can be viewed as an instability of the cyclone circulation

Page 41: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Structure

Page 42: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Description

• The frontogenesis process can lead to very strong circulations with intense shear across the front and vertical motion

• Depending on the temperature this vertical motion will produce rain or snow

Page 43: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

When and where

• Fronts occur all year round• Anytime cyclogenesis is occurring• Where temperature gradients are being increased by

shear or confluence• Strongest winds and vertical motion (hence rain)

associated with fronts (in midlatitudes)

Page 44: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Predictability?

• The large scale aspects of fronts are predicted as well as the cyclones themselves (since they are a consequence of former)– Most NWP models resolve them

• However the finer scale detail in the fronts(The rain bands and embedded thunderstorms)

– Are not resolved by most models and are not so well predicted e.g. Weather Bomb.

• Again ensemble methods are being used to help overcome these

Page 45: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Thunderstorms

- Hail- Tornadoes

Page 46: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Cause

• Strong heating below (summertime)• Cold advection above (wintertime)• Creating very unstable conditions and extreme

vertical motions ~ 30ms-1

Page 47: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Structure

Page 48: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Predictability

• Occur on scales of a few km– Most NWP models don’t resolve them

• Models resolve the large scale environment but initiation rather random– Can predict areas in which they are likely but generally not

the individual events

Page 49: Weather system dynamics Michael Revell NIWA m.revell@niwa.co.nz.

Any questions?


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