Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale...

89
Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft. Collins CO Lenny 11/17/99

Transcript of Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale...

Page 1: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Satellite Applications in Tropical Weather Forecasting

Mark DeMaria

Regional and Mesoscale Meteorology Team

NESDIS/CIRA

Colorado State University, Ft. Collins CO

Lenny 11/17/99

Page 2: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Acknowledgments• RAMMT

– Roger Phillips, Ray Zehr, Jack Dostalek, John Knaff, Bernadette Connell, Stan Kidder

• TPC– Jiann-Gwo Jiing (SOO), Richard Pasch,

Michelle Huber, Bill Frederick

• CIMSS– Chris Velden, Gary Wade

• NESDIS ORA– Roger Weldon

Page 3: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Outline

• General Circulation in the Tropics– ITCZ– Subtropical Ridge– Tropical Upper Tropospheric Trough

• Synoptic-Scale Weather Systems– Upper-level lows– Tropical Waves

• Tropical Cyclones– Dvorak method– Environmental interactions– Measurements from Polar orbiting satellites

Page 4: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Terminology

• Channel 1 - Visible - .6 m ( .52- .72)

• Channel 2 - Shortwave IR - 3.9 m (3.78- 4.03)

• Channel 3 - Water Vapor - 6.7 m (6.47-7.02)

• Channel 4 - Longwave IR - 10.7 m (10.2-11.2)

• Channel 5 - Split Window - 12.0 m (11.5-12.5)

• Microwave frequencies 20-90 Ghz (1.5-0.3 cm)

1 2 3 4 5 1 2 3 4 5

Page 5: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Hadley Cell

Walker Cells

P (mb)

-90 -60 -30 0 30 60 90-90 -60 -30 0 30 60 90

DJF JJA

Page 6: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

1979-1996 January Average 200 mb Streamlines

Page 7: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

1979-1996 July Average 200 mb Streamlines

Page 8: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

1979-1996 January Average 850 mb Streamlines

Page 9: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

1979-1996 July Average 850 mb Streamlines

Page 10: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

GMS, GOES, METEOSAT IR Imagery Composite

Page 11: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

GMS, GOES, METEOSAT IR Imagery Composite

Page 12: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Global WV Imagery Composite 22 August 1998

0000 UTC

2100 UTC

(Real-time data available from CIMSS web site)

Page 13: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Tropical Upper-Level Lows

• Typically form within TUTT

• Cold-core systems

• Shallower circulation than mid-latitude lows (little circulation below 500 mb)

• Often produce precipitation

• Can influence intensity and track of tropical cyclones

• Can be tracked using water vapor imagery

Page 14: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

300 mb 700 mb

Cold-low in NCEP Analysis 8/19/96 0000 UTC

Page 15: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Perturbation Temperature Cross-Section from NCEP Analysis 8/26/96 0000 UTC

Page 16: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Schematic Representation of Cold Low Structure

(from Whitfield and Lyons, WF, 1992)

Page 17: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Radiation Analysis of WV Imager Channel for Idealized Sounding

Page 18: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

16-Frame Water Vapor Imagery Loop7/26/98 02:45 to 7/29/98 20:45

Formation of a Cold-Low

Presentation

Page 19: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

TPC Tropical Analysis and Forecast BranchCold-Low Study

• Period of Study: Aug. 12-Oct. 1, 1996

• Domain: 0-35 N, 110-20 N

• Cold-low centers tracked using GOES WV imagery

• 47 lows during 50 days

• Average Duration of 3 days, Max of 12 days

• Up to 8 lows in domain at once (average of 3)

• Vorticity center present in NCEP 200 mb analyses for nearly all cold lows identified by satellite observations– Average NECP analysis location error of 100 nm

Page 20: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.
Page 21: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

NCEP Aviation Model Cold-Low Average Track Error

Extrapolation

Persistence

Cold Lows

1996 Tropical Cyclones

200

400

600

Page 22: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Tropical Waves

• Formation near western Africa

– Barotropic/baroclinic instability, PV gradient changes sign

– Secondary instability region in Western Caribbean

• Maximum amplitude near 700 mb

• Period of 2-5 days, wavelength 2-3000 km, May-Dec

• Precipitation associated with waves

• About 2/3 of Atlantic TC genesis associated with waves

• Role in east Pacific tropical cyclogensis

Page 23: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Seasonal Mean PV at 750 mb (Molinari et al, 1997)

Mean meridional wind fromGATE wave composite(Reed et al, 1977)

Page 24: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

TAFB Methods for Tracking Waves

• TAFB tropical surface analysis generated 4 times per day, includes surface wave positions

• Rawindsone time series• Surface data when available • Satellite analysis over west Africa

– Animation of channels 1, 2 and 4 indicates rotation

• Hovmoller satellite diagrams for continuity across tropical Atlantic

• NCEP aviation model analyses and forecasts

Page 25: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Dakar Sounding (15 N, 18 W) Time Series August 1995-97

95

96

97

Page 26: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

20 W 40 E20 W40 E

08/01/96

08/15/96

08/16/96

08/31/96

Tropical Strip Time Series40 E-40 W 0 N-15 N

Page 27: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Tropical Cyclogenesis

• Eastern Pacific – Interaction of tropical waves/monsoon trough– Includes region of maximum global storm

formation

• Atlantic– 2/3 of storms from tropical waves– Some baroclinic, subtropical and monsoon trough

developments– Very “peaked” season– Experimental genesis parameter under development

Page 28: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Climtological Tropical Cyclone Frequency(From WMO Global Guide To TC Forecasting)

Page 29: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Formations per 5 days (67-98)

0

5

10

15

20

25

30

M J J A S O N D

No.

Sto

rms

Atl.BasinTrop.Atl.

(Tropical Atlantic: 0-20 N, 0-60 W)

Page 30: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Tropical Atlantic Genesis Parameter

• Developed from cases since 1991• Genesis variables

– zonal shear (NCEP analyses)

– vertical stability (NCEP analyses)

– Mid-level moisture (Cloud-cleared GOES-8 water vapor brightness temperature, 1996-99)

– 5-day running means 8-18 N, 30-50 W

• Variables scaled from -1 to 1• Genesis parameter = shear x stability x moisture

Page 31: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Tropical Atlantic Genesis Locations 1991-99

45 Total Cases: 7 Un-named TDs 13 TS 9 Non-major Hurricanes 16 Major Hurricanes

Page 32: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Climatological Shear, Stability, WVBT (Scaled)

Marginal

Unfavorable

Favorable

Page 33: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Genesis Parameter in 1999

Shear Stability

WVBT GP

(www.cira.colostate.edu/ramm/gparm/genesis.asp)

Page 34: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

5-Day Running Mean Cloud Cleared Water Vapor Imagery for August 1999

LOOP

Page 35: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Tropical Cyclone Classification

• NHC has responsibility for Atlantic and east Pacific basins– Atlantic: 10 storms, 6 hurricanes

– East Pacific: 16 storms, 10 hurricanes

• Aircraft recon available only for Atlantic west of 55 W

• Majority of center and intensity estimates from GOES satellite data

• TAFB, SAB, AFWA provide classifications

Page 36: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Overview of the Dvorak Technique

• Visible and Infrared Technique• Simplified Visible Technique given here (See

Technical Report for full details)• Uses patterns and measurements as seen on

satellite imagery to assign a number (T number) representative of the cyclone’s strength.

• The T number scale runs from 0 to 8 in increments of 0.5.

Page 37: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Overview of the Dvorak Technique Cont’d

• In the following examples, only the Data T Number (DT) will be calculated, the final (official) T number assigned to a tropical cyclone includes further considerations.

• DT computations familiarize one to various tropical cyclone patterns.

Page 38: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Four Basic Patterns

• Curved Band Pattern

• Shear Pattern

• Central Dense Overcast (CDO) Pattern

• Eye Pattern– Pattern is not always obvious– Pattern typically varies with time

Page 39: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Patterns and Associated T Numbers

Page 40: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Empirical relationship between T number and wind speed

Page 41: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Finding the Cloud System Center (CSC)

• First step in the Dvorak technique• From Dvorak (1985):

“The cloud system center is defined as the focal point of all the curved lines or bands of the cloud system. It can also be thought of as the point toward which the curved lines merge or spiral.”

• Center not always obvious, especially at night• TPC technique combines channel 2 and 4

Page 42: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

T.S. Lisa Channel 4

Page 43: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

T.S. Lisa

Page 44: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Curved Band PatternTS Ivan 9/23/98 11:15 UTC

Page 45: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Curved Band Pattern Cont’d

1.0 2.0 2.5 3.0 3.5 4.0 4.5

DT Number

Page 46: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Shear PatternHurricane Bertha 7/11/96 2015 UTC

Page 47: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Shear Pattern DT Numbers

1° latitude = 60 nautical miles (nmi) = 111 km

Page 48: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Central Dense Overcast (CDO)Hurricane Georges 9/21/98 1545 UTC

Page 49: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

CDO

• No eye

• DT number determined by CF+BF=DT– CF=CENTRAL FEATURE– BF=BANDING FEATURE– DT=DATA T NUMBER

Page 50: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

CDO Central Feature (CF)• Measure Diameter of CDO in degrees latitude• For a well defined CDO

– 3/4 ° CF=2– 1 1/4 ° CF=3– 1 3/4 ° CF=4– >2 1/4 ° CF=5

• For an irregular CDO– 1° to 1 1/2 ° CF=2– >1 1/2 ° CF=3

Page 51: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

CDO - Banding Feature (BF)

Page 52: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Eye PatternHurricane Georges 9/19/98 1345 UTC

Page 53: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Eye Pattern

• DT number determined by CF+BF=DT– CF=CENTRAL FEATURE– BF=BANDING FEATURE– DT=DATA T NUMBER

Page 54: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Banding Eye Hurricane Bonnie 8/25/98 2131 UTC

Page 55: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Infrared (IR) Technique

• Can be used during night as well as during day

• At times, more objective than visible technique

• Fully objective version developed at CIRA

• Updated objective technique from CIMSS

Page 56: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Example Digital IR: Hurricane Erika 1515 UTC 8 September 1997

• Warmest eye pixel 16 °C

• Warmest pixel 30 nmi (55

km) from center -71 °C• Nomogram gives Eye no.

=7

Page 57: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.
Page 58: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.
Page 59: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Operational Dvorak Technique Verificationfor 1997-98 Atlantic Seasons

Position (nm)

x-bias (nm)

y-bias (nm)

Max wind (kt)

Wind bias (kt)

TAFB 97 18.8 -3.8 -0.4 4.6 -1.2

SAB 97 19.7 -3.9 -3.0 5.9 -2.2

TAFB 98 21.1 -1.6 0.3 6.5 0.7

SAB 98 21.3 0.0 -2.1 6.5 -1.7

Page 60: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.
Page 61: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

NHC Official Forecast Skill (1997-99)

-40

-30

-20

-10

0

12 24 36 48 60 72

Forecast Interval (hr)

No

rmal

ized

Err

or

(%)

Track

Intensity

Page 62: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Input for NHC Track and Intensity Forecasts

• Track– 70 % Numerical model guidance– 15 % Synoptic reasoning– 15 % Recent trends

• Intensity– 50 % Recent trends– 40 % Synoptic reasoning– 10 % Numerical model guidance

Page 63: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Applications of Satellite Data to TC Forecasting

• Track– Inclusion of remotely sensed data in NWP models– Diagnosis of model initial state– Evaluation of synoptic situation

• Intensity– Evaluation of factors affecting intensity

• SST changes

• vertical shear (especially cloud track winds)

• trough interaction

– Inclusion in NWP models

Page 64: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

300 mb AVN Winds and WV Image 19 Sept 1998

Page 65: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

NEW GOES WINDS PRODUCTS ARE BEING PRODUCED BY CIMSS/NESDIS:

- HIGH - DENSITY WINDS DERIVED FROM IR AND HIGH-RESOLUTION VISIBLE CLOUD MOTIONS AS WELL AS WATER VAPOR MOTIONS, USING AUTOMATED ALGORITHMS

- DISPLAYS OF THESE WINDS FOR UPPER- & LOWER-LEVEL LAYERS OVER THE TROPICS ARE ROUTINELY AVAILABLE VIA THE INTERNET

-UWISC/CIMSS TC WEB SITE: http://cimss.ssec.wisc.edu/tropic/tropic.html

NEW GOES WINDS PRODUCTS ARE BEING PRODUCED BY CIMSS/NESDIS:

- HIGH - DENSITY WINDS DERIVED FROM IR AND HIGH-RESOLUTION VISIBLE CLOUD MOTIONS AS WELL AS WATER VAPOR MOTIONS, USING AUTOMATED ALGORITHMS

- DISPLAYS OF THESE WINDS FOR UPPER- & LOWER-LEVEL LAYERS OVER THE TROPICS ARE ROUTINELY AVAILABLE VIA THE INTERNET

-UWISC/CIMSS TC WEB SITE: http://cimss.ssec.wisc.edu/tropic/tropic.html

Page 66: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.
Page 67: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Vertical Wind Shear Analysis from GOES High Density Winds

Page 68: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.
Page 69: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Hurricane-Trough PV Interaction During Hurricane Elena 1985 (Molinari et al 1995)

Page 70: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

8-Frame Water Vapor Imagery Loop 9/20/98 23:45 to 9/21/98 23:45

Hurricane/Trough Interaction

Presentation

Page 71: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Storm-Scale Structure

• Convective transients, asymmetries– Velden and Olander (1998) technique

• IR BT usually warmer than WV

• Deep convection transport into stratosphere

• WV BT warmer than IR

• Concentric eye walls, eye wall cycles

• Mesovortices within the eye– High spatial and time resolution imagery (RSO, SRSO)– Extra-high density satellite winds

Page 72: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Channel 3, 4 Convective Parameter (CP) for Hurricane Opal 1995 (From Bosart, et al 1999)

Min P P (mb)CP

Page 73: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

GOES-East Scanning Strategies

• Routine Scanning– Conus hr+01,31– Extended NH hr+15,45– (2 or 4 per hr)

• Rapid Scan– Conus, NH 5-10 min– (8 per hr)

• Super Rapid Scan– Selected Sector 1-5 min– (22 per hr)

Page 74: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

10-frame Rapid-Scan Visible Imagery Loop

9/21/98 19:02 to 20:10Hurricane Georges Approaching Puerto Rico

Presentation

Page 75: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Comparison of Operational and SRSOWinds for Hurricane Floyd

Page 76: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.
Page 77: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Hurricane Luis 9/6/95 1345 UTC

Page 78: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

TC Measurements from Microwave Frequencies

• Special Sensor Microwave Imager (SSM/I)– DMSP polar orbiting satellites

– 19, 22, 37, 85 GHz, 25 km resolution

• Advanced Microwave Sounding Unit (AMSU)– NOAA polar orbiting satellites (NOAA 15 +)

– 15 channels 23-89 GHz, 50 km resolution

• Can see “through” clouds• Depicts rainband, eye structure• Rainfall and surface wind algorithms• AMSU temperature retrievals

Page 79: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Hurricane Jeanne

9/23/981021 UTC

From NRL web site

Page 80: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

SSM/I Imagery for Hurricane Floyd13-14 September 1999

Page 81: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

IR ImageryMarch 1, 1999

AMSU TemperatureRetrieval (570 mb)

Page 82: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Hurricane Floyd Analysis 14 Sept 1999 12 UTC

AMSU Swath IR Image Liquid Water

(www.cira.colostate.edu/ramm/tropic/amsustrm.asp)

Page 83: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

WithoutCorrection

WithCorrection

Ta

V

Ta

V

Page 84: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Applications of Balanced Winds:Asymmetric Vortex Structure

850 mb Isotachs (m/s) from Floyd 14 Sept 99 12 UTC

-0-10-20-30-40

Page 85: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Gale Force (34 kt) Wind Radii Prediction

5 predictors selected, AE=18 nm, r2=83%

AMSU Variable Normalized Coefficient0-100 km Liquid water 29.1Max Temp anomaly 26.5 Storm latitude 25.3600-0 km pressure drop -17.2Radius of 15 kt wind at 3 km 8.1

R2 = 0.8331

0

50

100

150

200

250

300

0 50 100 150 200 250 300

Predicted Gale Radius (nm)

Ob

se

rve

d G

ale

Ra

diu

s (

nm

)

Page 86: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

AMSU-A Rainfall Rate for Hurricane Georges (.01 inches/hr)

TRaP for Key West = 6.7 inches

Page 87: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

GOES IR and SSM/I 85 GHzHuricane Floyd 10 UTC 11 Sep 1999

(from NRL web site)IR 85 GHz

Page 88: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Auto-Estimator>

<Multi-Spectral

Rainfall EstimationFrom GOES

Page 89: Satellite Applications in Tropical Weather Forecasting Mark DeMaria Regional and Mesoscale Meteorology Team NESDIS/CIRA Colorado State University, Ft.

Summary

• Multispectral GOES imagery provides synoptic overview– ITCZ, Subtropical Ridges, TUTT and cold lows, waves, TCs

• WV Imagery is especially useful for tracking cold lows

• Continuity in imagery is primary tool for tropical waves

• Dvorak method provides quantitative intensity estimates– Also provides framework for operational forecasting

– Shortwave IR aids center location, especially at night

• Sat. winds: environmental interactions, model intialization

• WV- IR difference isolates tropical deep convection

• Rapid-scan imagery: storm-scale fluctuations

• Microwave imagery is useful for low-level storm structure

• New AMSU data shows promise for hurricane analysis