Eric C. Meyers

 

graduate student supported by

 

 

Department of Atmospheric Sciences                                              Earth and Space Science Fellowship

 

to study feedbacks among distributions of updrafts, downdrafts,

microphysical processes, and latent heat associated with

rapid intensifications of Hurricane Dennis (2005)

 

My research group is composed primarily of Greg M. McFarquhar (advisor), Brian F. Jewett, and Steve W. Nesbitt. Although no statistical results and interpretations are provided here, I hope this webpage gathers your curiosity and directs your eyes toward our future publications. Enjoy!

 

 

 

 

Observations:

 

Hurricane Dennis (2005) track and intensity

Hurricane Dennis (2005) Track and Intensity at 6-hour intervals as reported by the National Hurricane Center (NHC); most rapid estimated central pressure drop of -20 hPa during the 6 hours preceding 0000Z 10 July 07 July; 3 landfalls: Punta del Ingles, CU 0245Z 8 July; Punta Mangles Altos, CU 1845Z 8 July; Santa Rosa Island, FL 1930Z 10 July 2005; dashed lines (altitude not to scale) aid interpretation of viewing angle for the following photograph:

 

Hurricane Dennis viewed from oblique, 190-nautical mile altitude at 2114Z 07 July 2005

28-mm photograph from 190 km altitude at 2114Z 07 July 2005; nadir point latitude, longitude: 21.9N, 71.2W (see map above); center point latitude, longitude: 19.0N, 76.6W (see map above); South (West) toward upper left (right) [courtesy of Image Science and Analysis Laboratory, NASA-Johnson Space Center. The Gateway to Astronaut Photography of Earth (accessed 01/15/2009 14:33:01)]

 

 

 

Simulation:

 

o  Advanced Research Weather Research and Forecasting (WRF) Model (WRF ARW v3.0.1)

o  3 nested domains

o  55 vertical levels with average spacing of ~135 m below 2 km (i.e., inflow layer), ~300 m between 3 and 6 km (i.e., melting/freezing layer), and ~500 m between 8 and 15 km (i.e., outflow layer)

o  GFDL/GFS initial & boundary conditions

o  d01-d03 u,v analysis nudging

o  d04 vortex center detection and tracking at 3-km (i.e., parent grid spacing) increments

o  Thompson 2007 microphysics

o  Kain-Fritsch convective parameterization on d01 only

o  Yonsei PBL scheme

o  Dudhia SW, RRTM LW

  

 

 

Simulation/Observation Comparisons:

 

Downwelling SW radiation at surface from WRF simulation overlaid with graupel mixing ratio Visible satellite imagery of Hurricane Dennis (2005) at 1615Z 07 July

{left} Downwelling shortwave flux (W m-2) at the surface 0 (grayscale) and graupel mixing ratio (g kg-1, only > 0.16 colored) on sigma level 0.530 at 16:20Z 07 July 2005 from 1-km simulation; regions of the TC span from the eye (dark (clear) circular center), to the eyewall (surrounding eye collocated with asymmetric inner half ring of graupel at this level), to rainbands (spiraling effect with enhanced graupel concentrations), to stratiform (sandwiched between rainbands). {right} 0.65-μm visible satellite imagery [NRL data archive]of Hurricane Dennis at 1615Z 07 July 2005; central dense overcast displaced from outer, primary eastern rainband convection. WRF simulation reproduces generally the observed structure, but inner-core convection is perceived weaker and less symmetric; furthermore, eye diameter and cloudiness are not simulated accurately

 

Reflectivity (dBZ) at 4.25 km from WRF simulation and from NOAA P-3 LF radar

{left} Reflectivity (dBZ) at 4.25 km derived from 1-km WRF simulation. {right} Reflectivity (dBZ) observed by NOAA P-3 aircraft lower fuselage (LF) radar at similar altitude. Concentration of highest model-derived reflectivity (Z) consistent with observed, south of TC center, but it is generally more widespread and more intense; rainband and developing eyewall Z appear > 10 dBZ higher than observations; need statistical analysis to assess generality of this statement

 

Maximum reflectivity derived from WRF simulation at 1800Z 06 July 2005 Rain rate from TRMM TMI/PR at 2131Z 06 July 2005

{left} Maximum reflectivity (dBZ) derived from 1-km WRF simulation at 1800Z 06 July 2005. {right} Rain rate (inches hr-1) derived from the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI, wide swath)/Precipitation Radar (PR, narrow swath) at 2131Z 06 July 2005, when Dennis was intensifying rapidly from a tropical storm to a CAT1 hurricane (22Z 6 July). Note the general ability of the 1-km control simulation to resolve precipitation structure (that is, highest model-derived reflectivity corresponding to fastest TRMM-interpreted rain rate)

 

 

 

Further Fascination:

 

SAME SCALE; SAME LOCATION; SAME STRENGTH

BUT VERY DIFFERENT SIZE

IR imagery showing vast size difference between Hurricanes Floyd (1999) and Andrew (1992)

 

 

 

About Me:

 

name: Eric Charles Meyers

email: emeyers3@atmos.illinois.edu

phone: 217-333-9056

address: Room 217 Atmospheric Sciences Building (where is that?)

         105 S. Gregory St.

         Urbana, IL 61801-3070

CV (in progress): click here

personal statement:

 

When I chose meteorology as the focus of my undergraduate pursuit, I assumed that I was clearing a confined path toward operational forecasting; I was wrong. I quickly discovered that my career was largely unrestricted. Forecasting was my career choice because I acknowledged its impact on people's daily decisions; however, my undergraduate experiences unveiled vast research aimed at improving, v. merely providing, forecasts. In particular, my research evolved to a focus on improving tropical cyclone (TC) intensity and rainfall forecasts. How I arrived at the microphysical aspect of this research stems from numerous educational and research accomplishments, each framed by competency and leadership.

My success so far has stemmed primarily from stellar academic achievement. Throughout rigorous pursuit of an undergraduate degree in meteorology and a supplemental minor in mathematics, numerous awards unveiled a host of opportunities. On 12 May 2007, I graduated from Millersville University with summa cum laude honors. In order to attain this academic recognition, I undoubtedly had to display both competency and leadership throughout my undergraduate studies.

Several research opportunities and recognitions demonstrated these traits. Undoubtedly, my receipt of a 2006-2007 National Oceanic and Atmospheric Administration (NOAA) Ernest F. Hollings Scholarship lies at the forefront. This                                competitive opportunity was granted to only 110 undergraduates nationwide, and I was fortunate to be recognized as one of these fledgling students in pursuit of a career in the atmospheric and oceanic sciences. The scholarship, which awarded generous monetary assistance, also granted each recipient the opportunity to intern within any approved NOAA facility. With my lifelong journey to improve TC intensity and rainfall prediction, I chose the Hurricane Research Division (HRD) within the Atlantic Oceanographic and Meteorological Laboratory (AOML). This internship was crucial to refining my graduate inspiration. It offered various opportunities to analyze advanced numerical model output in sync with state-of-the-art field campaign data and to thus acquire valuable curiosity about the role of microphysics in driving latent heat, TC intensity, and rainfall. Although somewhat deficient in the fields of numerical modeling, FORTRAN, statistical meteorology, and radar while a junior undergraduate, I remained focused on a rigorous undertaking while at HRD - one combining the learning of these fundamentals while simultaneously deriving conclusive evidence from numerical models in about 2 months. My results are summarized in a presentation and on a poster.

In addition to my internship within HRD, I acquired leadership through my central involvement in Linked Environments for Atmospheric Discovery (LEAD) as an undergraduate. Between my freshman and senior undergraduate years, I centralized my role in this project. The primary tool for my research was Unidata's Integrated Data Viewer                                (IDV), software for visualizing various model output and data in up to four dimensions. I served at the core of creating LEAD-to-LEARN modules, which provide background information on focused atmospheric phenomena, outline instructions for using IDV to view archived particular aspects of these phenomena, and thread basic, intermediate, and advanced questions through detailed description. In brief, I laid the framework to engage students in interactive learning while disseminating this information worldwide via the LEAD Portal. Eventually, I became a key tester of the Portal, who provided comprehensive feedback to the developers in order to ensure that it serves as a friendly, intuitive, and inviting common interface for the education community. Robert Junod, Hareesh Gadde, Thomas Daley, and I presented our collaborative work at TeraGrid '07 (photograph at left).

With this foundation of research established, I entered my graduate education during the late summer 2007. During my first year, I received funding from an AMS graduate fellowship. In addition to providing opportunities for unique recognition and collaboration, this fellowship encouraged me to formulate research objectives beyond the contractual bounds of Dr. McFaquhar's funding. Alongside rigorous academics, I submitted proposals to the National Science Foundation (NSF) and the National Aeronautics and Space Administration (NASA). The proposal to the latter was granted during the late spring 2008. As a continuation of prior award offerings, it has since provided various opportunities for unique collaboration. At the forefront, its monetary support allowed me to attend the 3rd International Workshop on High-Resolution and Cloud Modeling - Tropical Cyclones and Climate, where I intertwined preliminary results amidst expert theoreticians, modelers, and data analysts of various TC spatial and temporal scales. Aside from my mere inspiration, this workshop confirmed the importance of my research - ultimately to improve understanding of feedbacks between distributions of microphysical processes (i.e., latent heating) and vertical motion related to rapid TC intensity change and rainfall.

Above all, these experiences continue to shape my career as a teacher who will combine inspiration for the numerics of cloud-scale TC research with a passion for educating. This career goal branches primarily from my continual realization of educators' critical roles in shaping students' lives and unleashing their capabilities. Thank you!

 

 

 

This webpage was developed 15 January 2009.

 

The latest update occurred 19 January 2009.