Yyyyyy x. yyyyyy

0000 xxxxxx xxxx , xxxx , xxxxx 00000

xxx-xxx-xxxx

abc@xyz.com

Country of Citizenship: United States

SSN: xxx-xx-xxxx

___________________________________________________________________________

 

 

Core Competencies

In-Depth Research, International Collaboration, Concept Development, Open Source Software Development, Research Tool Development, Real-Time Ensemble Forecasts, Atmospheric Phenomena Involvement, Team Leadership, Prediction Development, Division/Unit Direction, Project Planning, Advisement Provision, Proposal Development and Support, Funding Acquisition, Professional Outreach

 

 

Professional Experience

 

MONTH 2013 - Present

Center for Analysis and Prediction of Storms (CAPS)

The University of Oklahoma

Norman, OK

Hours per Week: N/A

Salary: $102,000 Annually

Supervisor: Ming Xue, Director Phone: 405.325.6037 Contact Applicant before

contacting supervisor

Senior Research Scientist

 

Developed cycled ensemble Kalman filter (EnKF) data assimilation (DA) for 3-km CONUS-domain, real-time storm-scale ensemble forecasts for NOAA Hazardous Weather Testbed (HWT) Spring Experiment (SE) in 2014. Steered team in combining GSI-EnKF for conventional DA and EnKF for high-resolution radar DA for 2016 SE, resulting in important performance improvement. Strong proponent of collaboration with National Severe Storm Laboratory (NSSL), the Cooperative Institute for Research in Atmosphere (CIRA), the School of Computer Science (CS) and the Advanced Radar Research Center (ARRC); activities gained improved numerical wealth prediction (NWP) of convective storms by assimilating high-temporal frequency Multi-function Phased Array Radar (MPAR) data.

 

Additionally applied data mining/machine learning to identify Multi-Radar/Multi-Sensor (MRMS) products relevant to tornado potentiality, developed radar software to gain data for X-band polarimetric radar and improved hail forecasting capabilities utilizing machine-learning techniques.

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Successfully served as Primary Investigator (PI) or Co-PI on multiple projects; was PI on international Korea Meteorological Administration (KMA) projects and as Co-PI successfully completed South Korea-based Weather Link projects. Also tasked as PI/Co-PI in working with physical/computer scientists and engineers on both active and pending multi-institutional/multi-disciplinary proposals.

 

Developed python-based polarimetric radar data (PRD) simulator for WRF, ARPS and United Unified Model (UM) of Met Office in the United Kingdom; also evaluated microphysics schemes utilizing simulator (1, 3, 7, 8), and provided advisement/assistance to CAPS scientists and students as lead developer/system manager of CAPS EnKF DA system. Expertly advised graduate students concerning M.S./Ph.D. studies (1, 3, 4, 6, 11, 13), was point-of-contact for NOAA Warn-on-Forecast (WoF) project and, as PI and Co-PI was participant in array of research proposals. Of note was receiving the Dean s Award for Excellence in Research and Scholarship in 2016.

 

 

MONTH 2008 MONTH 2013

Center for Analysis and Prediction of Storms (CAPS)

The University of Oklahoma

Norman, OK

Hours per Week: N/A

Salary: $102,000 Annually

Supervisor: Ming Xue, Director Phone: 405.325.6037 Contact Applicant before

contacting supervisor

Research Scientist

 

During tenure in assignment, designed capability within EnKF DA system to assimilate high-temporal/high-spatial satellite radiance that would be available from GOES-R satellite as well as demonstrating positive impact of GOES-R data in observation system simulation experiments (OSSEs). Responsibilities included developing/maintaining CAPS EnKF DA system as well as adding new system capabilities; evaluated domain decomposition-based MPI/Open-MP parallel algorithm for EnKF system (9), and tested/optimized 4km grid spacing central US-domain cycled-EnKF system for future applications.

 

As PI/Co-PI was active contributing participant in multiple research proposals; investigated impact of PRD on storm-scale ensemble forecast and optimal configurations, assessed benefit of multi-moment microphysics schemes v. single-moment schemes on ensemble forecasts of supercell storms (12, 14), and analyzed benefit of low-level observations available from gap-filling X-band radar network (11, 13) as well as impact of PRD data using an EnKF system (15).

 

 

MONTH 2004 MONTH 2008

Center for Analysis and Prediction of Storms (CAPS)

The University of Oklahoma

Norman, OK

Hours per Week: N/A

Salary: $102,000 Annually

Supervisor: Ming Xue, Director Phone: 405.325.6037 Contact Applicant before

contacting supervisor

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Graduate Research Assistant

 

In this initial assignment with Center, was successful in developing PRD forward operator for EnKF DA system and applied in OSSEs; identified positive impact of PRD at convective scale ensemble forecasts (17, 18). Also reorganized CAPS EnKF system to allow for ease of maintenance/extendibility/increased performance using object-oriented programming. Also developed PRD simulator based on rigorous scattering calculation that offered additional functionality including microphysics verification, and developed new tools/functions for CAPS EnKF DA system.

 

 

MONTH 2000 MONTH 2004

Korea Meteorological Administration (KMA)/Information Management Division

Boulder, CO / Seoul, South Korea

Hours per Week: N/A

Salary: N/A

Supervisor: N/A Phone: N/A May Contact: N/A

 

Research Scientist

 

Interfaced with ESRL/Global Systems Division, formerly Forecasters Systems Laboratory (FSL); was involved with surface/radar/satellite meteorological observations and numerical model output into forecaster workstation/Forecasters Analysis System (FAS) based on Advanced Weather Interactive Processing System (AWIPS) in 2000 and 2002. Skillfully developed annual R&D budget for Division and ESRL/Global Systems Division (GSD), and was point-of-contact for international collaboration with GSD. Planned/directed forecaster training on FAS system and coordinated/led annual FAS workshop and user contests.

 

Acknowledgment of performance excellence resulted in the awarding of a Certificate of Appreciation for outstanding achievement and contribution to the Korea Meteorological Administration (KMA) Forecast Systems Laboratory (FSL) in 2003, as well as Commendation from the Minister of Science and Technology, also in 2003.

 

 

MONTH 1998 MONTH 2000

Korea Meteorological Administration (KMA)/National Institute of Meteorological Research (NIMR)

Seoul, South Korea

Hours per Week: N/A

Salary: N/A

Supervisor: N/A Phone: N/A May Contact: N/A

 

Research Scientist

 

Skillfully operated X-band polarimetric research radar at hydrometeorology division during major rain/snow activity; researched internal storm processes with Doppler radar data (20, 21, 22, 23, 24, 25) to improve heavy rain/flash flooding predictions. Also facilitated/hosted annual Radar Workshop for undergraduate/graduate students in South Korea, planned annual radar research

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projects R&D budget(s), and sponsored University research including overseeing contract projects. Also planned collaborative field experiment during summer rainy season with University and set-up/implemented Aviation Expo exhibition booth to demonstrate array of meteorological equipment.

 

 

MONTH 1996 MONTH 1998

Korea Meteorological Administration (KMA)/Suwon Weather Forecast Service (WFS)

Suwon, South Korea

Hours per Week: N/A

Salary: N/A

Supervisor: N/A Phone: N/A May Contact: N/A

 

Research Scientist

 

Directed collaborative interaction of National Institute of Agricultural Sciences (NIAS) and KMA to identify/provide agrometeorological data to serve NIAS goal of improving crop productivity; also provided technical support to WFS meteorologists/forecasters including training on new IT systems.

 

 

MONTH 1995 MONTH 1996

Korea Meteorological Administration (KMA)/NIMR

Seoul, South Korea

Hours per Week: N/A

Salary: N/A

Supervisor: N/A Phone: N/A May Contact: N/A

 

Researcher

 

In this initial assignment was tasked with evaluating transportation forecasting model of Yellow Sand from China to South Korea; utilized backward trajectory analysis of Yellow Sand and analyzed characteristics of local air quality (26, 27).

 

 

 

 

Education

 

University of Oklahoma, Norman, OK

Ph.D., Meteorology, 2008

GPA: 4.0

Semester/Credit Hours: 67

Awarded Alumni Fellowship, 2004-2008

 

Seoul National University, Seoul, South Korea

Master of Science, Atmospheric Science, 1995

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GPA: 3.55

Semester/Credit Hours: 27

 

Ewha Woman s University, Seoul, South Korea

Bachelor of Science, Science Education, 1993

GPA: 3.91

Semester/Credit Hours: 140

Magna cum Laude Graduate

Dean s List Member - Two Years

Honor Scholarship 5 Semesters

 

 

 

Professional Affiliations

 

American Meteorological Society

Korean Meteorological Society

Korean Atmospheric Scientists in America (KASA), Chairperson, 2016-Present

 

 

 

Awards and Special Recognition

 

Review for National Science Foundation (NSF) proposal

Serve on Graduate Student Committees

 

 

 

Professional Services / Reviews for Scientific Journals

 

Geophysical Research Atmosphere

Monthly Weather Review

Atmospheric and Oceanic Technology

Advances in Atmospheric Sciences

Natural Hazards and Earth System Sciences

Advances in Meteorology

Asian-Pacific Journal of Atmospheric Sciences

Tellus

Quarterly Journal of the Royal Meteorological Society

 

 

 

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Referred Publications

 

[1]       Putnam, B., M. Xue, Y. Jung, G. Zhang, and F. Kong, 2016: Simulation of polarimetric radar variables from 2013 CAPS spring experiment storm scale ensemble forecasts and evaluation of microphysics schems. Mon. Wea. Rev., Mon. Wea. Rev., 145, 49-73. DOI:http://dx.doi.org/10.1175/MWR-D-15-0415.1

[2]       Snook, N., Y. Jung, J. Brotzge, B. Putnam, and M. Xue, 2016: Prediction and ensemble forecast verification of hail in the supercell storms of 20 May 2013, Wea. Forecasting, 31, 811-825. DOI: http://dx.doi.org/10.1175/WAF-D-15-0152.1

[3]       Johnson, M., Y. Jung, D. Dawson, and M. Xue, 2016: Comparison of simulated polarimetric signatures in idealized supercell storms using two-moment bulk microphysics schemes in WRF. Mon. Wea. Rev.,144, 971-996. DOI: http://dx.doi.org/10.1175/MWR-D-15-0233.1

[4]       Supinie, T., Y. Jung, M. Xue, D. Stensrud, M. French, and H. Bluestein, 2016: Impact of VORTEX2 observations on analyses and forecasts of the 5 June 2009 Goshen County, Wyoming, supercell, Mon. Wea. Rev., 144, 429-449. DOI: http://dx.doi.org/10.1175/MWR-D-15-0171.1

[5]       Snook, N., M. Xue, and Y. Jung, 2015: Multi-scale EnKF data assimilation and ensemble forecasting for a tornadic mesoscale convective system. Mon. Wea. Rev., 143, 1035-1057. DOI: http://dx.doi.org/10.1175/MWR-D-13-00262.1

[6]       Putnam, B. J., M. Xue, Y. Jung, N. A. Snook, and G. Zhang, 2014: The Analysis and Prediction of Microphysical States and Polarimetric Variables of a Mesoscale Convective System Using Double-Moment Microphysics, Multi-Network Radar Data, and the Ensemble Kalman Filter. Mon. Wea. Rev.,142, 141-162.DOI: http://dx.doi.org/10.1175/MWR-D-13-00042.1

[7]       Dawson, D.T., L. J. Wicker, E. R. Mansell, Y. Jung, and M. Xue, 2014: Low-level polarimetric radar signatures in EnKF analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell: Impact of multi-moment microphysics and comparisons with observations, Adv. Meteor.,DOI: http://dx.doi.org/10.1155/2013/818394.

[8]       Dawson, D.T., E. R. Mansell, Y. Jung, L. J. Wicker, M. M. Kumjian, and M. Xue, 2014: Low-level Z_DR signatures in supercell forward flanks: the role of size sorting and melting of hail. J. Atmos. Sci.,71, 276-299.DOI: http://dx.doi.org/10.1175/JAS-D-13-0118.1

[9]       Wang, Y., Y. Jung, T. A. Supinie, and M. Xue, 2013: A hybrid MPI-OpenMP parallel algorithm and performance analysis for an ensemble square root filter designed for multiscale observations. J. Atmos. Ocean Tech., 30, 1382-1397. DOI: http://dx.doi.org/10.1175/JTECH-D-12-00165.1

[10]    Stensrud, D. J., L. J. Wicker, M. Xue, D. T. Dawson II, N. Yussouf, D. M. Wheatley, T. E. Thompson, N. A. Snook, T. M. Smith, A. D. Schenkman, C. K. Potvin, E. R. Mansell, T. Lei, K. M. Kuhlman, Y. Jung, T. A. Jones, J. Gao, M. C. Coniglio, H. E. Brooks, and K. A. Brewster, 2013: Progress and challenges with Warn-on-Forecast. Atmospheric Research, 123, 2-16.

 

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[11]    Snook, N., M. Xue, and Y. Jung, 2012: Ensemble probabilistic forecasts of a tornadic mesoscale convective system from ensemble Kalman filter analyses using WSR-88D and CASA radar data. Mon. Wea. Rev., 140, 2126-2146. DOI: http://dx.doi.org/10.1175/MWR-D-11-00117.1

[12]    Jung, Y., M. Xue, and M. Tong, 2012: Ensemble Kalman Filter Analyses of the 29-30 May 2004 Oklahoma Tornadic Thunderstorm using One- and Two-Moment Bulk Microphysics Schemes, with verification against polarimetric radar data. Mon. Wea. Rev., 140, 1457-1475. DOI: http://dx.doi.org/10.1175/MWR-D-11-00032.1

[13]    Snook, N., M. Xue, and Y. Jung, 2011: Analysis of a tornadic mesoscale convective vortex based on ensemble Kalman filter assimilation of CASA X-band and WSR-88D radar data.Mon. Wea. Rev., Mon. Wea. Rev., 139, 3446-3468. DOI: http://dx.doi.org/10.1175/MWR-D-10-05053.1

[14]    Xue, M., Y. Jung, and G. Zhang, 2010a: State estimation of convective storms with a two-moment microphysics scheme and an ensemble Kalman filter: Experiments with simulated radar data. Q. J. Roy. Meteor. Soc., 136, 685-700.DOI: 10.1002/qj.593

[15]    Jung, Y., M. Xue, and G. Zhang, 2010b: Simultaneous estimation of microphysical parameters and the atmospheric state using simulated polarimetric radar data and an ensemble Kalman filter in the presence of observation operator error.Mon. Wea. Rev., 138, 539-562.DOI: http://dx.doi.org/10.1175/2009MWR2748.1

[16]    Jung, Y., M. Xue, and G. Zhang, 2010c: Simulations of polarimetric radar signatures of a supercell storm using a two-moment bulk microphysics scheme. Appl. Meteor. Climatol. 49, 146-163. DOI: http://dx.doi.org/10.1175/2009JAMC2178.1

[17]    Jung, Y., M. Xue, G. Zhang, and J. Straka, 2008b: Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part II: Impact of polarimetric data on storm analysis. Mon. Wea. Rev., 136, 2246-2260.DOI: http://dx.doi.org/10.1175/2007MWR2288.1

[18]    Jung, Y., G. Zhang, and M. Xue, 2008a: Assimilation of simulated polarimetric radar data for a convective storm using the ensemble Kalman filter. Part I: Observation operators for reflectivity and polarimetric variables. Mon. Wea. Rev., 136, 2228-2245. DOI: http://dx.doi.org/10.1175/2007MWR2083.1

[19]    Xue, M., Y. Jung, and G. Zhang, 2007: Error modeling of simulated reflectivity observations for ensemble Kalman filter assimilation of convective storms. Geophys. Res. Letters, 34, L10802, DOI:10.1029/2007GL029945.

[20]    Jung, Y. S., E. Lim, J. C. Nam, 2000: Mesoscale characteristics of frontal system on radar data, Magazine of Korea Water Resources Assoc., 33, 219-227 (In Korean).

[21]    Lim, E., W. T. Kwon, Y. S. Jung, 2000:Retrieval of three dimensional wind fields from single Doppler radar data and comparis on with dual Doppler analysis, J. Korean Meteor. Soc. 36, 429-440 (In Korean).

[22]    Lim, E., Y. S. Jung, J. C. Nam, 2000: Characteristics of hail occurred in the Korea peninsular, Magazine of Korea Water Resources Assoc., 33, 229-235 (In Korean).

[23]    Chung, K. Y., Y. S. Jung, B. J. Hwang, 1999: Classification of Snowfall Regions using Principal Component Analysis,J. Korean Meteor. Soc. 35, 466-473 (In Korean).

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[24]    Chung, K. Y., W. K. Eom, M. J. Kim, Y. S. Jung, 1998: A study on feasibility of cloud seeding in Korea, Magazine of Korea Water Resources Assoc., 31, 621-635 (In Korean).

[25]    Chung, K. Y., H. K. Kim, S. K. Lee, Y. S. Jung, 1998: The Distributions of Liquid Water Content(LWC) and potential Enhancement of Precipitation over Andong Area observed from Microwave Radiometer, Journal of the Korean Society of Remote Sensing, 14, 165-174 (In Korean).

[26]    Jung, Y. S., S. U. Park, I. H. Yoon, 1996: Characteristic features of local air quality associated with meteorological conditions, J. Korean Meteor. Soc. 32, 271-290 (In Korean).

[27]    Cho, H.-M., M.-K. Park, J.-C. Nam, D.-H. Min, K.-R. Kim, B.-H. Song, B.-S. Kim, S.-K. Kim, and Y.-S. Chong, 1995: Trends of background concentration of atmospheric carbon dioxide in Korea, J. Korean Meteor. Soc. 31, 301-312 (In Korean).

 

 

 

Externally-Sponsored Research Grants

 

Co-PI Advanced Data Assimilation and Prediction Research for Convective-Scale Warn-on-Forecast DOC-NOAA. DOC-NOAA NA080AR4320904.$750K, 7/1/2011 -6/30/2014.

Co- PI "Support for X-band solid state weather radar development", WeatherLink, Inc, $335K, 4/23/2012-10/31/2013.

PI Development of a Polarimetric Radar Data Simulator for KLAPS , Korea Meteorological Administration, $177K, 3/5/2013-12/31/2013.

Co-PI Ensemble Simulation of GOES-R Proxy Radiance Data from CONUS Storm-Scale Ensemble Forecasts, Product Demonstration and Assessment at the Hazardous Weather Testbed GOES-R Proving Ground, $119K, 6/1/2013-5/31/2014.

Co-PI A Partnership to Develop, Conduct, and Evaluate Realtime Advanced Data Assimilation and High-Resolution Ensemble and Deterministic Forecasts for Convective-scale Hazardous Weather Towards the Goals of Weather Ready Nation NOAA-NWS-NWSPO-2013-2003473. $375K, 7/1/2013 -6/30/2016.

Co-PI "The Severe Hail Analysis, Representation, and Prediction (SHARP) Project" NSF.$819K, 9/15/2013-8/31/2017.

PI Development of a Polarimetric Radar Data Simulator for Local Forecasting Model (UM) , Korea Meteorological Administration, $182K, 5/2/2014-12/31/2014.

Co-PI Advanced Data Assimilation and Prediction Research for Convective-Scale Warn-on-Forecast , DOC-NOAA NA080AR4320904. $230K, 7/1/2014 -6/30/2015.

PI Development of a Polarimetric Radar Data Simulator for Local Forecasting Model (UM) (II), Korea Meteorological Administration, $188K, 4/2/2015-12/31/2015.

Co-PI Advanced Data Assimilation and Prediction Research for Convective-Scale "Warn-on-Forecast" , DOC-NOAA-FAA, $225,000, 8/1/2015-7/31/2016.

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Co-PI Improving Initial Conditions and their Perturbations through Ensemble-Based Data Assimilation for Optimized Storm-Scale Ensemble Prediction in Support of HWT Severe Weather Forecasting , DOC-NOA, $249,705 , 9/1/15 8/31/17.

Co-PI A Partnership to Develop, Conduct, and Evaluation Realtime Advanced Data Assimilation and High-Resolution Ensemble and Deterministic Forecasts for Convective-scale Hazardous Weather:  Toward the Goals of Weather Ready Nation , NOAA, $450,000 8/1/16 4/30/19.

Co-PI Advanced Data Assimilation and Prediction Research for Convective-Scale "Warn-on-Forecast" , DOC-NOAA-FAA, $200,000, 10/1/2016-9/30/2017.(with Ming Xue as PI and Keith Brewster as co-PI)

Co-PI Development and Implementation of Ensemble Hail Forecast Products using Multi-moment Microphysics and Machine Learning Algorithms , DOC-NOA, $335,084, 10/01/2016 09/30/2018.

Co-PI Extended Support to the Storm-Scale Numerical Weather Prediction Capability for Shenzhen Meteorological Bureau , 1/1/2017-12/31/2017, $175,380, China, Pending

PI Impact of Assimilating Phased Array Radar Observations on Convective-scale Numerical Weather Prediction Model for Severe Weather Forecasts , $528,000, 1/1/2017-12/31/2019, NOAA, Pending

PI Development of an Advanced Model to Estimate Maritime Environment , $500,000, 3/1/2017-2/28/2020, Korea, Pending

Co-PI Development and Optimization of Radar-Assimilating Ensemble-Based Data Assimilation for Storm-Scale Ensemble Prediction in Support of HWT Spring Experiments , NOAA, $290,837, 07/01/2017-05/31/2019, Pending

 

 

 

Invited Talks and Lectures (Selected)

 

Weather radar in US, Korea Meteorological Administration (KMA), 19 April 2016, Seoul, Korea

Weather radar theory and applications, Korea Meteorological Administration (KMA), 12-15 April 2016, Seoul, Korea

Radar data assimilation for convective-scale ensemble forecasts using the CAPS EnKF system, Radar Data Assimilation Tutorial, 16^th Annual WRF User s Workshop, 15-19 June 2015, Boulder, CO

Radar in meteorology: Theory and applications, National Institute of Meteorological Institute (NIMR)/Korea Meteorological Administration (KMA), 14-17 April 2014, Jeju, Korea

Recent application of polarimetric radar data in NWP, KMA, 5 October 2012

Ensemble data assimilation and prediction, Korea Institute of Construction Technology (KICT), 4 October 2012, Seoul, Korea

Applications of polarimetric radar data in NWP. Storm-scale Radar Data Assimilation Workshop, 17-18 October 2011, Norman, OK

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Model error issues: Microphysics errors. Storm-scale Radar Data Assimilation Workshop, 17-18 October 2011, Norman, OK

CASA: Small X-band polarimetric radar network, System Design Review meeting for the development of X-band polarimetric radar in Korea, 21 November 2011, Seoul, Korea

Realtime ensemble forecasts of CAPS, KMA, April 2011, Seoul, Korea

Lecture on polarimetric radar data, KMA, April 2011, Seoul, Korea

Toward improved weather prediction: Ensemble forecasting, KonKuk University, April 2010, Seoul, Korea

Polarimetric radar emulators and their applications, KMA, April 2009, Seoul, Korea

Atmospheric research at OU, KMA, April 2009, Seoul, Korea

Simultaneous estimation of microphysical parameters and atmospheric state using simulated polarimetric radar data and ensemble Kalman filter in the presence of observation operator error, KMA, April 2009, Seoul, Korea

 

Yyyyyy x. yyyyyy

0000 xxxxxx xxxx , xxxx , xxxxx 00000

xxx-xxx-xxxx

abc@xyz.com

Country of Citizenship: United States

SSN: xxx-xx-xxxx

___________________________________________________________________________

 

 

MANDATORY TECHNICAL QUALIFICATIONS

 

#1: Demonstrated competence in planning and conducting independent research and leading multi-disciplinary, multi-organizational research in the dynamics, predictability, and numerical modeling of mesoscale meteorological phenomena including, but not limited to, mountain waves, lee-side rotors, tropical cyclones, and coupled atmospheric-ocean processes, and the dissemination, application, and transition of results to Naval, DoD, and civilian agency operations

In my various assignments/roles as Primary Investigator as well as Co-Primary Investigator on multiple projects as described in my resume, including numerical modeling of convective to multi-scale ensemble forecasts, I have developed a great deal of competence in planning and conducting independent research as well as directing and participating in multi-disciplinary, multi-organizational research on the dynamics, predictability and numerical modeling of mesoscale meteorological phenomena including, among others, mountain waves, lee-side rotors, tropical cyclones, and coupled atmospheric-ocean processes. I am experienced in the dissemination, application, and transition of results to Naval, DoD, and civilian agency operations.

 

Additionally, I have developed a wide range of experience from my tenure in multiple assignments for the Korea Meteorological Administration (KMA); in one assignment I was a strong contributing participant in the development of a forecaster s workstation that was designed to assist in analyzing exceptionally large amounts of observations, output models efficiently and disseminate forecasts effectively. Additionally, I have been involved in the NOAA Hazardous Weather Testbed (HWT) Spring Experiments (SEs). The CAPS real-time ensemble forecasts is a part of Community Leveraged Unified Ensemble (CLUE) led by National Severe Storm Laboratory (NSSL). Our partners include NWS, NSSL, SPC, EMC, and GSD. I provide advisement, assistance and mentoring of a number of students and postdoctoral scientists and I am currently leading a NSF proposal on hurricane studies.

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0000 xxxxxx xxxx , xxxx , xxxxx 00000

xxx-xxx-xxxx

abc@xyz.com

Country of Citizenship: United States

SSN: xxx-xx-xxxx

___________________________________________________________________________

 

 

MANDATORY TECHNICAL QUALIFICATIONS

 

#2. Ability to conceive, plan, coordinate, and lead complex research projects in areas of competence and to obtain research support from funding agencies through research proposals

 

I have directed and participated in a number of proposal as the PI or Co-PI; currently I am working on four proposals including collaborative efforts with other institutions. International projects are often more complex because of various conflicts of interest between nations as well as differing laws and technologies.

 

I have successfully arbitrated various conflicts between the University of Oklahoma and the sponsor for several international projects.

 

Regarding the ability to obtain research support from funding proposals, I respectfully direct your attention to the section in my Resume entitled Externally-Sponsored Research Grants wherein I have listed my involvement as PI or Co-PI in obtaining 18 Research Grants totaling over $6,000,000 toward funding research proposals.

 

 

 

 

 

 

Yyyyyy x. yyyyyy

0000 xxxxxx xxxx , xxxx , xxxxx 00000

xxx-xxx-xxxx

abc@xyz.com

Country of Citizenship: United States

SSN: xxx-xx-xxxx

___________________________________________________________________________

 

 

MANDATORY TECHNICAL QUALIFICATIONS

 

#3. Ability to communicate orally

 

Over the past several years, I have been engaged in successfully providing in-depth advisement as well as mentoring of students including those engaged in post-doctoral studies and research; such activities require continual oral communication in order to fully understand and support the individuals in their training as well as to convey multiple, often complex and involved, concepts .and ideas.

 

Additionally, since 1999 I have been involved in continual collaboration with other scientists on a broad array of projects and am regularly required to present our work findings at multiple workshops, meetings and conferences. I have served as the key point-of-contact for international projects between a NOAA laboratory and the KMA during my employment tenure with KMA.

 

In my attached resume, I have included a listing of 15 examples of Invited Talks and Lectures on relevant and varied meteorological topics that I presented at multiple seminars and meetings.

 

All of these examples, and other assignments and roles, have required continual usage and application of excellent oral communication skills.

 

 

 

 

 

 

 

Yyyyyy x. yyyyyy

0000 xxxxxx xxxx , xxxx , xxxxx 00000

xxx-xxx-xxxx

abc@xyz.com

Country of Citizenship: United States

SSN: xxx-xx-xxxx

___________________________________________________________________________

 

 

MANDATORY TECHNICAL QUALIFICATIONS

 

# 4. Ability to communicate in writing

 

Over the past many years in my various roles within the meteorological research community, I have been continually tasked with working closely with students, post-doctoral researchers, fellow scientists and multiple collaborators as well as my supervisors in utilizing various forms of written communication including large numbers of emails. These email messages are often, of necessity, lengthy and complex as they are utilized to explain processes and techniques requiring less-than-simple descriptions.

 

Additionally, I have served as lead author on contributed articles to a large number of professionally-recognized journals and publications, and have had research findings published in well over 30 publications. I have utilized my extensive subject matter expertise and communicative abilities to edit various submitted manuscripts and have worked with students to hone and edit drafts of written responses prepared by students and post-doctoral individuals.