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“Wind Gust Climatology for Southern South Carolina and Coastal North Georgia” Ryan Kramer Penn State University Meteorology NOAA Goal: Weather-Ready Nation NWS Charleston, SC Frank Alsheimer 4/11/2013 1
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“Wind Gust Climatology for Southern South Carolina and Coastal North Georgia”

Ryan Kramer

Penn State University

Meteorology

NOAA Goal: Weather-Ready Nation

NWS Charleston, SC

Frank Alsheimer

4/11/2013 1

About Me

• Ryan Kramer

• Penn State University, Meteorology

• Chose Charleston, SC NWS because:

– Experience operational meteorology

– Different style of research

4/11/2013 2

Outline

• Goals

• Background

• Methods

• Results

• Conclusions

• Next Steps

4/11/2013 3

Goals

• Develop guidelines an NWS Charleston, SC forecaster can use to forecast wind gusts.

– No clear blueprint currently in place

• Base these guidelines on trends of various time scales found in an analysis of surface observations

4/11/2013 4

Background

• Wind Gust: Rapid fluctuation in wind speed – 10 knot variation between wind peaks and lulls

Gusts are only reported if ≥ 14 knots

• Land Sites – Sustained Wind: 2 minute average – Gusts: 5 second average

• Marine Sites (buoys) – Sustained Wind: 8 minute average – Gusts: 5 second average

4/11/2013 5

Background

• Gust Factor (G)

G = Umax/Ū Gust over sustained wind speed

• Ex: “1.25 or 125%” – Should always be ≥ 1

• G multiplied by Sustained Wind = Gust 4/11/2013 6

Background

• NWS Charleston wind gust forecasting:

– Forecasters estimate G from experience

– Forecasting Smart Tool’s default value of 1.15 is applied

• Project purpose: Analyze climatological data to determine appropriate gust factor values for forecasting

4/11/2013 7

Sites

4/11/2013 8 google.maps.com

Methodology

• Hourly, or more, time-stamped surface observations at each location – Gust, sustained wind, wind direction, etc. – Data from Jan 1, 2007 to Dec 31, 2011

• Quality Control – Remove erroneous wind reports – Keep only data within 1 standard deviation of mean G

• Ensure dataset representative of “fair-weather” conditions

4/11/2013 9

Methodology

• Geographical Groupings – All-Land vs. Marine

– Land vs. Marine/Shoreline

• Data set with 3,000 observations per location – Noticed a bias towards locations with many points

4/11/2013 10

Wind Statistics

• Gusts found in 17% of all land observations and 50% of all marine observations

• Sustained winds:

4/11/2013 11

Sustained Wind % of Obs.

< 10 knots 82.5%

10 – 20 knots 16.3%

20 – 30 knots 1.2%

30 – 40 knots .02%

40+ knots .001%

Sustained Wind % of Obs.

< 10 knots 35.3%

10 – 20 knots 53%

20 – 30 knots 11.3%

30 – 40 knots .45%

40+ knots .02%

All Land Sites Marine Sites

Wind Statistics

4/11/2013 12

0

20

40

60

80

100

1 6 11 16 21 26 31 36 41 46 51 56% O

f O

bs.

wit

h a

Gu

st R

ep

ort

ed

Sustained Wind Speed (knots)

All Land Sites: Frequency of Gusts for a Given Sustained Wind Speed

All Data

Day

Night

•How often are gusts reported when the sustained wind is X knots?

Wind Statistics

0

10

20

30

40

50

60

70

80

90

100

1 6 11 16 21 26 31 36 41

% O

f O

bs.

wit

h a

Gu

st R

ep

ort

ed

Sustained Wind Speed (knots)

Marine Sites: Frequency of Gusts for a Given Sustained Wind Speed

All Hours

Day

Night

4/11/2013 13

Wind Statistics

4/11/2013 14

0

5

10

15

20

25

30

0 3 6 9 12 15 18 21

% O

f O

bs.

Wit

h a

Gu

st R

ep

ort

ed

Hour (z)

All Land Sites: Frequency of Gusts for a Given Hour

•How often do observations at hour X include a gust report?

Wind Summary

4/11/2013 15

35

39

43

47

51

55

1 4 7 10 13 16 19 22

% O

f O

bs.

wit

h a

Gu

st R

ep

ort

ed

Hour (z)

Marine Sites: Frequency of Gusts for a Given Hour

Seasonal Averages

4/11/2013 16

0

5

10

15

20

25

30

35

0 3 6 9 12 15 18 21% O

f O

bs.

Wit

h a

Gu

st R

ep

ort

ed

Hour (z)

All Land Sites: Frequency of Gusts for a Given Hour

Spring

Summer

Fall

Winter

•Changes in gust frequency magnitude, and daily “peak gust time” shifts with season

Gusts vs. Sustained Wind Speeds

• Gust factors and sustained wind speed trends are inversely related over land

– New grouping: Land vs. Marine/Shoreline

4/11/2013 17

Sustained G

<10 knots 1.65

10-15 knots 1.22

15-20 knots 1.21

20-25 knots 1.22

25+ knots 1.23*

Sustained G

<10 knots 1.94

10-15 knots 1.57

15-20 knots 1.43

20-25 knots 1.38

25+ knots 1.37*

Marine/Shoreline Land

* Statistically insignificant number of points

Hourly Averages

• Slight diurnal variation

4/11/2013 18

1.56

1.58

1.6

1.62

1.64

1.66

1.68

0 3 6 9 12 15 18 21Ave

rage

Gu

st F

acto

r

Hour (z)

Land: Average Gust Factor vs. Hour

1.19

1.2

1.21

1.22

1.23

1.24

0 3 6 9 12 15 18 21A

vera

ge G

ust

Fac

tor

Hour (z)

Marine/Shoreline: Average Gust Forecaster vs. Hour

Gust Factor Average

• Forecasters may want a general gust factor value they can confidently input into long-term forecasts

• Consider that the majority of observed gusts over land occur:

– with sustained winds of 11 to 16 knots

– from 15z to 22z

4/11/2013 19

Marine/Shoreline ≈ 1.21 Land ≈ 1.51

Wind Direction

4/11/2013 20

N

S

E W E W

N

S

Land Marine/Shoreline

1.63

1.64 1.63

1.59 1.21

1.22 1.22

1.25

Wind Direction

Direction G Sustained Wind

0-90° 1.25 15.2

90-180° 1.47 11.4

180-270° 1.45 12.1

270-360° 1.24 15.7

4/11/2013 21

N

google.maps.com

Ft. Pulaski

•More local variation •Gust factor variation explained by sustained wind speed variation

Seasonal Averages

• Slight gust factor variation monthly and seasonally

– Land and Marine/Shoreline appear inversed

4/11/2013 22

1.59

1.6

1.61

1.62

1.63

1.64

1.65

1.66

1 2 3 4 5 6 7 8 9 10 11 12

Ave

rage

Gu

st F

acto

r

Month

Land Sites: Average Gust Factor vs Month

1.17

1.18

1.19

1.2

1.21

1.22

1.23

1.24

1.25

1 2 3 4 5 6 7 8 9 10 11 12

Ave

rage

Gu

st F

acto

r

Month

Marine/Shoreline: Average Gust Factor vs. Month

Gusts vs. Sustained Wind Speeds

4/11/2013 23

0

10

20

30

40

50

60

7 12 17 22 27 32

Ave

rage

Gu

st (

kno

ts)

Sustained Wind Speed (knots)

Land Sites: Average Gust vs. Sustained Wind Speed

Correlation: 0.993

R2 = 0.9882

0

10

20

30

40

50

8 13 18 23 28 33

Ave

rage

Gu

st (

kno

ts)

Sustained Wind Speed (knots)

Marine/Shoreline: Average Gust vs. Sustained

Wind Speed

R2 = 0.9869

Correlation: 0.993

Conclusions • Relationship between surface sustained wind and gusts

is very strong – Accurate sustained wind forecast can lead to a strong gust

forecast

• Over land: Gust factor decreases with increasing sustained wind speed – Multiple factors can cause variability in gust factor

• Most gust trends, and land vs. marine differences,

explained by: – Surface Roughness, atmospheric turbulence – Boundary Layer Mixing

4/11/2013 24

Next Steps

• Analyze model soundings to better compare surface winds to upper air winds – Atmospheric stability may also play a role in gusts

• Closer look at effects of surface roughness – Variation with location

• Update Smart Tool within the NWS Integrated

Forecast Preparation System – Automatically apply trends to forecast grids

4/11/2013 25

Acknowledgements

• Frank Alsheimer

• Jonathan Lamb and Blair Holloway

• The rest of the NWS Charleston office

• Hollings Program Coordinators

4/11/2013 26

References/Resources

• Cook, R., Gruenbacher, B., 2008. Assessment of Methodologies to Forecast Wind Gust Speed. NWS Wichita. http://www.crh.noaa.gov/ict/?n=windgust

• Davis, F.K., Newstein H., 1968. The Variation of Gust Factors with Mean Wind Speed and with Height. J. Appl. Meteor., 7, 372–378.

• Vickery, P., Skerlj, P., 2005. Hurricane Gust Factors Revisited. Journal of Structural Engineering. Vol. 131, No. 5, pp. 825-832

• ASOS Users’ Guide, 1998. • Wieringa, J., 1972. Gust Factors Over Open Water and Built-Up Country.

Boundary-Layer Meteorology. Volume 3, Issue 4, pp.424-441 • Durst, C.S., 1960. Winds Speeds Over Short Periods of Time. The

Meteorological Magazine. Volume 89, No. 1,056. • Krayer, W., Marshall, R., 1992. Gust Factors Applied to Hurricane Winds.

Bulletin American Meteorological Society, Volume 73, No. 5 • National Data Buoy Center., 2012.

4/11/2013 27

Methodology

• Gathered 12z sounding data for Charleston Air Force Base/Intl. Airport (CHS)

– CHS is one of the surface data sites

• Saved CHS data for days with both upper air and surface data

4/11/2013 28

Upper Air Analysis

• Compared winds at 850mb, 925mb, and 1000mb to surface winds

4/11/2013 29

R² = 0.7581

0

5

10

15

20

25

30

35

1 6 11 16 21 26 31 36 41 46 51

Max

imu

m S

ust

ain

ed

Su

rfac

e W

ind

(k

no

ts)

925mb Wind (knots)

Maximum Daily Max. Sustained Wind Speed vs. 12z 925mb Wind

• Strongest relationship at 925mb

– Inversion at 1000mb, 850mb too high

• Are 925mb winds a reliable indicator of surface conditions around the same time of sounding?

• No stand out trends for Gusts or Gust Factors

Upper Air Analysis

R2

1000mb .12

925mb .76

850mb .68

4/11/2013 30

R2

1000mb .05

925mb .76

850mb .62

Max. Sfc Wind Ave. Sfc Wind

R2

1000mb .78

925mb .89

850mb .68

12z Sfc Wind

Addition Method

• Add a number to the sustained wind forecast to get gust forecast value

4/11/2013 31

Sustained Wind Add on

<10 knots 5.4

10-15 knots 3

15-20 knots 3.4

20-25 knots 4.6

25-30 knots 5.9

30+ knots 7.3

Sustained Wind Add On

<10 knots 8.2

10-15 knots 7.3

15-20 knots 8

20-25 knots 9

25-30 knots 10.8

30+ knots 12.8

Marine/Shoreline Land


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