background research applications philip hayes the florida state university

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Background Research Applications Philip Hayes The Florida State University

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Page 1: Background Research Applications Philip Hayes The Florida State University

Background Research Applications

Philip Hayes

The Florida State University

Page 2: Background Research Applications Philip Hayes The Florida State University

Area Topics of Research

• High-resolution modeling of jet dynamics using the WRF model.

• High-resolution modeling of hurricanes using the HWRF model.

• Theoretical and observational validation of remotely sensed data.

Page 3: Background Research Applications Philip Hayes The Florida State University

WRF Model Experience

• Balanced and Unbalanced Flow in Primitive Equation Simulations of Baroclinic Wave Life Cycles

• Examined the destabilization of a baroclinic jet by augmenting the shape of the dynamic tropopause using the WRF model.

• Observed the horizontal divergence field and the residual of the Non-linear Balance Equation.

Page 4: Background Research Applications Philip Hayes The Florida State University

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Non-linear Balance Equation

Page 5: Background Research Applications Philip Hayes The Florida State University

WRF Model Knowledge

• Experienced operation of the WRF model.

• Calculated and created numerical profiles of new parameter variables.

• Comfortable with developing new modules in the WRF model.

• Used Vis5D software & NCAR graphics.

Page 6: Background Research Applications Philip Hayes The Florida State University

HWRF Model

• Produced numerous sensitivity studies on:– horizontal resolution– vertical resolution– boundary conditions– one-way/two-way interactive nesting

• Incorporated a module that compensates for sea spray effects.

• Created shell scripts to operate and run the HWRF model.

Page 7: Background Research Applications Philip Hayes The Florida State University

Remotely Sensed Research

• Determining Surface Winds from Doppler Radar Data during Hurricane Passages over Florida

• Primary objective of research: produce high resolution spatial fields of surface (10 m) winds using Level II archived Doppler radar data.

• Research required:– Creative and unique techniques to obtain the results.– Knowledge of error statistics and validation

techniques.– Ability to use multiple programming languages and

software packages.

Page 8: Background Research Applications Philip Hayes The Florida State University

Radial Velocity Dilemma

Radial velocity = 0 mph.

Radial velocity = 150 mph

• Measures component of wind along radar beam.

• Wind component tangential to beam seen as zero, parallel to beam measures full 2-D wind.

• Produces data gaps throughout the velocity field.

• Algorithm must be created to convert radial velocity field into a total wind field.

Hurricane Jeanne

Page 9: Background Research Applications Philip Hayes The Florida State University

Total Wind Calculation

• Used C++ programming incorporated into the Warning Decision Support System – II (WDSS-II) to quality control, unfold, and output the correct velocity data.

• Created Fortran algorithm that received this data and calculated a total wind field from only radial velocities.

Page 10: Background Research Applications Philip Hayes The Florida State University

Reduction Factor Process

• Must compensate for the variability of the boundary layer over land.

• Reduce all gridpoints using Monin-Obukhov Similarity Theory

,

log

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10

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oZ

zZ

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UU

Page 11: Background Research Applications Philip Hayes The Florida State University

Roughness Length• As surface layer becomes rougher, wind speed decreases more rapidly with height due to frictional effects. • Hazards United States (HAZUS) project contain roughness length plots within Florida at a resolution of 111.11 m.• Later research will use effective roughness length.

Page 12: Background Research Applications Philip Hayes The Florida State University

GIS Land Use Data• Land use/Land coverage data collected by 4 Water Management Districts

•South Florida•Southwest Florida•St. John’s •Suwannee River

• Dataset derived by photo- interpreting 1:12,000 UGSG color infrared digital orthophoto quarter quadrangles.

Page 13: Background Research Applications Philip Hayes The Florida State University

TOTAL WIND(before reduction)

SURFACE WIND(after reduction)

• Animation of Hurricane Jeanne (2004).• Maximum wind speed before reduction ~ 121 kts.• Maximum wind speed after reduction ~ 88 kts.• Strongest winds offshore.

Page 14: Background Research Applications Philip Hayes The Florida State University

TOTAL WIND(before reduction)

SURFACE WIND(after reduction)

• Animation of Hurricane Jeanne (2004).• Maximum wind speed before reduction ~ 121 kts.• Maximum wind speed after reduction ~ 88 kts.• Strongest winds offshore.

Page 15: Background Research Applications Philip Hayes The Florida State University

Surface Wind Swath between 0926_00Z and 0926_06Z

• Hurricane strength winds pictured in green and warmer.• Strongest winds north of the hurricane track.• Validation of wind speeds vs. ASOS data is sparse.

Page 16: Background Research Applications Philip Hayes The Florida State University

GIS Display

Page 17: Background Research Applications Philip Hayes The Florida State University

Validation Issues• Sparse ASOS data limits the validation of the Doppler-derived wind field.• ASOS failures common due to high winds, flying debris, and design faults.• Data collected by ASOS may contain errors of up to 10.5% for land-based observations (Powell et al. 1996).• Other methods for validation must be explored. KMLB

Page 18: Background Research Applications Philip Hayes The Florida State University

Observational Data

• Florida Coastal Monitoring Program

• Data provided by U.F. Professor Dr. Gurley• Measures ground level winds with four portable

towers.

Page 19: Background Research Applications Philip Hayes The Florida State University
Page 20: Background Research Applications Philip Hayes The Florida State University

Research Experience

• Early research with WRF/HWRF required strong ability to work in team environment.

• Ph.D. research heavily involved generating products and results independently.

• Quickly learned new applications needed to complete research (i.e. GIS, Matlab, Grads scripting).