The Pennsylvania State University M.S. in Meteorology 2008 Thesis: Source characterization including atmospheric boundary layer depth

Transcription

1 Andrew J. Annunzio, Ph.D. National Center for Atmospheric Research 3450 Mitchell Lane Boulder, CO Science and Technology for Atmospheric Research Voice: Fax: Professional Overview Atmospheric scientist and applied mathematician with theoretical and applied research experience Track record of providing timely technical solutions to research problems Extensive background in artificial intelligence based optimization techniques, numerical weather prediction, atmospheric turbulence and meteorological analysis Published author and regular presenter at scientific conferences Proficient in mathematical computer programming languages Education The Pennsylvania State University Ph.D. in Meteorology 2011 Dissertation: Assessing the Lagrangian framework and state estimation for forward and inverse atmospheric transport and dispersion modeling The Pennsylvania State University M.S. in Meteorology 2008 Thesis: Source characterization including atmospheric boundary layer depth The Ohio State University B.S. in Geography (Atmospheric Science track) and Mathematics (minor) with honors and distinction 2006 Professional Positions The National Center for Atmospheric Research Associate Scientist III Associate Scientist II Develop synthetic environments that utilize high resolution numerical modeling of tracer releases into the atmosphere for defense applications Verification and validation of high resolution tracer transport and dispersion models Investigate the impact of ensemble average (low resolution) vs. spatial average (high resolution) modeling for defense applications Present research results to sponsors and at professional conferences 10/ present 10/ /2011

2 Provide timely solutions to research problems to satisfy program requirements Write research proposals and grants Science and Technology for Atmospheric Research Associate Scientist III Associate Scientist II Make modifications to existing community developed, numerical models for the needs of the sponsor Develop an ensemble numerical weather prediction system Provide suggestions and advice to the sponsor Present research findings and progress to the sponsor 10/2011 present 04/ /2011 The Pennsylvania State University and The Applied Research Laboratory Graduate Research Assistant Investigated Eulerian and Lagrangian inverse methods to locate the source location for contaminants released into the atmosphere Developed an expert system to track the location and size of contaminants released into the atmosphere in forward and inverse time Applied Genetic Algorithm optimization techniques to invert equations, and solve partial differential equations Studied methods for assimilating data into partial differential equations and ordinary differential equations Presented research to sponsors, and at professional conferences 06/ /2010 The Pennsylvania State University Graduate Teacher Assistant Led recitation lectures Provided help for students Graded assignments and exams 08/ /2007 Chesapeake Energy Summer Intern Provided forecasts and relayed information to clients in the energy and agricultural financial sector Provided statistical products to clients 06/ /2005 Technical Skills Operating Systems: LINUX High Performance Computing Clusters (HPCC), LINUX, Windows Programming Languages: MATLAB, Bash-shell scripts FORTRAN, Mathematica, IDL, EXCEL

3 Research Interests Artificial Intelligence, Atmospheric Turbulence, Atmospheric Boundary Layer Flows, Atmospheric Transport and Dispersion, Dynamical Systems, Fluid Dynamics, Genetic Algorithms, Machine Learning, Numerical Solutions to Partial Differential Equations, Optimization, Signal Processing, Stochastic Processes Academic Honors and Professional Memberships Phi Kappa Phi (Academic Honor Society) Phi Beta Kappa (Academic Honor Society) Chi Epsilon Pi (Meteorology Honor Society) American Meteorological Society Professional Service Department of Meteorology Graduate Advisory Council, Student Member Meteorological Society s Committee on Meteorological Aspects of Air Pollution, Student Committee Member Meteorological Society s Committee on Meteorological Aspects of Air Pollution, Committee Member Significant Opportunities in Atmospheric Research and Science, Research Mentor Journal Publications Annunzio A.J., G.S. Young, S.E. Haupt, A multi-entity field approximation to determine the source locations of multiple atmospheric contaminant releases. Accepted by Atmospheric Environment. Annunzio A.J., G.S. Young, S.E. Haupt, Utilizing state estimation to determine the source location for a contaminant. Atmospheric Environment, 46, Peltier L.J., S.E. Haupt, J.C. Wyngaard, D.R. Stauffer, A. Deng, J.A. Lee, K.J. Long, A.J. Annunzio, Parameterization of NWP uncertainty for dispersion modeling. Journal of Applied Meteorology and Climatology, 49,

4 Journal Papers in Process Haupt S.E., A.J. Annunzio, K.J. Schmehl, Evolving dispersion realizations of atmospheric flow. Submitted to Boundary Layer Meteorology (invited submission). Bieringer P.E, P.S. Ray, A.J. Annunzio, The effect of topographic variability on initial condition sensitivity of low-level wind forecasts. Part I: Experiments using idealized terrain. Accepted with minor revisions by Monthly Weather Review. Bieringer P.E., P.S. Ray, A.J. Annunzio, The effect of topographic variability on initial condition sensitivity of low-level wind forecasts. Part II: Experiments using real terrain and observations. Accepted with minor revisions by Monthly Weather Review. Annunzio A.J., S.E. Haupt, G.S. Young, Comparing Eulerian and Lagrangian frameworks in atmospheric transport and dispersion and data incorporation methods for each framework. In process. Conference Proceedings, Abstracts and Presentations Annunzio A.J., P.E. Bieringer, G. Bieberbach, R. Cabell, An ensemble based method for estimating the effectiveness of standoff chemical and biological sensing technologies. 16 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Platt, N., C. Czech, M. Ambroso, J. Urban, D. DeRiggi, P.E. Bieringer, G. Bieberbach, A.J. Annunzio, Comparison of toxic load consequence assessments based on HPAC and VTHREAT predictions. 16 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Annunzio A.J., P.E. Bieringer, G. Bieberbach, R. Cabell, Use of synthetic single realization transport and dispersion scenarios for chemical and biological defense analyses. 17 th Conference on Air Pollution Meteorology and the A&WMA, 92 nd AMS Annual Meeting, New Orleans, LA, January Annunzio A.J., P.E. Bieringer, G. Bieberbach, R. Cabell, An ensemble based method for estimating the effectiveness of standoff chemical and biological sensing technologies. Chemical and Biological Defense Science and Technology Conference, Las Vegas, NV, November (poster presentation) Bieringer P.E., A.J. Annunzio, G. Bieberbach, J. Hannan, N. Platt, Contrasting the use of single realization vs. ensemble averaged CB threats for CB defense analyses. Chemical and Biological Defense Science and Technology Conference, Las Vegas, NV, November Annunzio A.J., G.S. Young, S.E. Haupt, L.M. Rodriguez, P.E. Bieringer, A multi-entity field approximation for hazard origin estimation. 15 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Annunzio A.J., P.E. Bieringer, G. Bieberbach, R. Cabell, Testing sensing technologies in virtual environments. Defense Threat Reduction Agency Algorithms Conference, Boston, MA, June 7-9. (poster presentation) Annunzio A.J., G.S. Young, S.E. Haupt, L.M. Rodriguez, A multi-entity field approximation for hazard origin estimation. 9 th Conference on Artificial Intelligence and its

5 Applications to the Environmental Sciences, 91 st AMS Annual Meeting, Seattle, WA, January Haupt S.E., A.J. Annunzio, and K.J. Schmehl, Using a Genetic Algorithm to assimilate transport and dispersion variables, 9 th Conference on Artificial Intelligence and its Applications to the Environmental Sciences, 91 st AMS Annual Meeting, Seattle, WA, January Rodriguez, L.M., S.E. Haupt, G.S. Young, A.J. Annunzio, Source term uncertainty analysis using a genetic algorithm couple with dispersion models, 9 th Conference on Artificial Intelligence and its Applications to the Environmental Sciences, 91 st AMS Annual Meeting, Seattle, WA, January Annunzio, A.J., G.S. Young, S.E. Haupt, and L.M. Rodriguez, A multi-entity field approximation for hazard origin estimation. Chemical and Biological Defense Science and Technology Conference, Orlando, FL, November (poster presentation) Haupt, S.E., K.J. Schmehl, F.J. Zajaczkowski, and A.J. Annunzio, Observing and modeling dispersion realization in a time varying wind field, 14 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Annunzio, A.J., S.E. Haupt, G.S. Young, and L.M. Rodriguez, Multi-entity field approximation (MEFA) for hazard origin estimation, 14 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Rodriguez, L.M., S.E. Haupt, G.S. Young, A.J. Annunzio, and K.J. Schmehl, Reanalysis of FFT 07 phase I using a Genetic Algorithm coupled with dispersion models, 14 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Schmehl, K.J., S.E. Haupt, B. Reen, and A.J. Annunzio, Planetary boundary layer depth and its impact on dispersion, 14 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Haupt, S.E., F.J. Zajaczkowski, K.J. Long, and A.J. Annunzio, Assimilating NWP data into CFD models for wind prediction, Fifth International Symposium on Computational Wind Engineering, Charlotte, NC, May (fully reviewed paper) Haupt, S.E., K.J. Long, A.J. Annunzio, and L.M. Rodriguez, Predicting realizations versus averages: applying assimilation to improve dispersion modeling for security analysis, Fifth International Symposium on Computational Wind Engineering, Charlotte, NC, May (fully reviewed paper) Haupt, S.E., G.S. Young, and A.J. Annunzio, Inverting surface observations: convective and stable boundary layer depth estimation methods, Fifth International Symposium on Computational Wind Engineering, Charlotte, NC, May (fully reviewed paper) Rodriguez, L.M. S.E. Haupt, G.S. Young, A.J. Annunzio, and K.J. Long, Source term characterization of FFT 07 data using a Genetic Algorithm. 16 th Conference on Air Pollution Meteorology joint session with 8 th Conference on Artificial Intelligence Applications to Environmental Science, 90 th AMS Annual Meeting, Atlanta, GA, January Young, G.S., A.J. Annunzio, and S.E. Haupt, Inverting surface observations to find boundary layer depth, 16 th Conference on Air Pollution Meteorology, 90 th AMS Annual Meeting, Atlanta, GA, January

6 Annunzio, A.J., S.E. Haupt, and G.S. Young, Determining turbulence scaling variables and source characteristics from contaminant concentration data, 16 th Conference on Air Pollution Meteorology, 90 th AMS Annual Meeting, Atlanta, GA, January (poster presentation) Annunzio, A.J., S.E. Haupt, G.S. Young, and L.M. Rodriguez, Combined methods from entity and field frameworks to determine the source characteristics of a contaminant, 16 th Conference on Air Pollution Meteorology joint session with 8 th Conference on Artificial Intelligence Applications to Environmental Science, 90 th AMS Annual Meeting, Atlanta GA, January Annunzio, A.J., S.E. Haupt, G.S. Young, and L.M. Rodriguez, Mixed Lagrangian/Eulerian methods to determine the source characteristics of a contaminant, Chemical and Biological Defense Science and Technology Conference, Dallas, TX, November (poster presentation). Rodriguez, L.M., S.E. Haupt, G.S. Young, A.J. Annunzio, and K.J. Long, Source term estimation of FFT 07 data using a Genetic Algorithm, Chemical and Biological Defense Science and Technology Conference, Dallas, TX, November (poster presentation) Presented source term estimation research to Major General Randy Manner, State College, PA, October 23, Haupt, S.E., S.E. Young, J.C. Wyngaard, K.J. Long, A.J. Annunzio, and L.M. Rodriguez, Dispersion realizations versus averages: implications for measurements, theory, and modeling, Chemical and Biological Defense Science and Technology Conference, Dallas, TX, Nov (poster presentation) Annunzio, A.J., S.E. Haupt, G.S. Young, and L.M. Rodriguez, Entity methods applied to the FFT 07 Data Set, 13 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Rodriguez, L.M., S.E. Haupt, G.S. Young, A.J. Annunzio, and K.J. Long, Source term estimation of FFT 07 trial data using a Genetic Algorithm coupled with a dispersion model: Gaussian and SCIPUFF Models, 13 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July Young, G.S., A.J. Annunzio, and S.E. Haupt, Inverting surface observations to find boundary layer depth, 13 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, VA, July (poster presentation) Young, G.S., J. Limbacher, S.E. Haupt, and A.J. Annunzio, Back trajectories for hazard origin estimation: BackHOE, Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences, 89 th AMS Annual Meeting, Phoenix, AZ, January Rodriguez, L.M., A.J. Annunzio, S.E. Haupt, and G.S. Young, 2009 Sheared Gaussian coupled with hybrid Genetic Algorithm for source characterization using CFD and FFT 07 Data, Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences, 89th AMS Annual Meeting, Phoenix, AZ, January Annunzio, A.J., S.E. Haupt, and G.S. Young, Methods of mitigating uncertainty in contaminant dispersion in a turbulent flow: Data Assimilation vs. Multisensor data fusion, 13th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, 89th AMS Annual Meeting, Phoenix, AZ, January Annunzio, A.J., S.E. Haupt, and G.S. Young, Comparison of Data Assimilation and Multisensor Data Fusion Techniques in Atmospheric Transport and Dispersion, Chemical and

7 Biological Defense Physical Science and Technology Conference, New Orleans, LA, Nov (poster presentation) Annunzio, A.J., S.E. Haupt, and G.S. Young, Source characterization considering atmospheric boundary layer depth as a variable, 12 th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, July 8-10, Haupt, S.E., G.S. Young, K.J. Long, A. Beyer-Lout, and A.J. Annunzio, 2008: Data fusion and prediction for CBRN transport and dispersion for security, 2008 IEEE Aerospace Conference with AIAA, Big Sky, MT, March Annunzio, A.J., S.E. Haupt, and G.S. Young, 2008: Similarities and differences between Multisensor Data Fusion and Data Assimilation: implications for over-determined vs. underdetermined systems, 15 th Joint Conference on the Applications of Air Pollution Meteorology with the A&WMA, 88 th AMS Annual Meeting, New Orleans, LA, Jan (poster presentation) Annunzio, A.J., S.E. Haupt, and G.S. Young, 2008: Source characterization and meteorology retrieval including atmospheric boundary layer depth using a Genetic Algorithm, 15 th Joint Conference on the Applications of Air Pollution Meteorology with the A&WMA, 88 th AMS Annual Conference, New Orleans, LA, Jan Annunzio, A.J., S.E. Haupt, G.S. Young, 2007: Comparing assimilation and sensor data fusion techniques for dispersion modeling, 11 th George Mason Conference on Atmospheric Transport and Dispersion, Fairfax, VA, July 10-12, (poster presentation). Technical Reports Haupt, S.E., G.S. Young, K.J. Long, A. Beyer-Lout, L.M. Rodriguez, A.J. Annunzio, and C.T. Allen, 2008: Assimilating Concentration and Wind Data for Dispersion Modeling, ARL Technical Report: ARL TR Anunzio A.J., P.E. Bieringer, G. Bieberbach, R. Cabell, Analysis of alternatives for standoff chemical and biological detection technologies, DTRA Final Report, in progress. Invited Talks Back-trajectory based methods for source parameter estimation, presented at the National Center for Atmospheric Research, February 23 rd, Use of synthetic single realization transport and dispersion scenarios for chemical and biological defense analyses, presented at the National Center for Atmospheric Research, February 8 th, Mixed Eulerian/Lagrangian Methods to Determine the Source Information for a contaminant, presented at The Applied Research Lab, July 9, 2010.