John
W. Zack, PhD, President and Senior
Research Scientist, has been with MESO, Inc. since it's incorporation
in 1985. As a principal developer of MESO's Mesoscale Atmospheric
Simulation System (MASS) model, Dr. Zack has made major contributions
to the formulation and implementation of the model's planetary boundary
layer parameterization, cumulus parameterization schemes and cloud
physics schemes. This modeling expertise has been instrumental in
helping MESO to utilize a wide range of atmospheric models, including
OMEGA, MM5 and WRF, for both research and forecasting applications.
Dr. Zack has become a specialist in the application of atmospheric
model products to solve industrial requirements. He is now recognized
as a leading authority in the application of atmospheric modeling
techniques for the purpose of producing wind maps and forecasts
for the wind energy industry. He has invaluable expertise in system
design for operational applications of atmospheric models.
John
received his Ph.D. in Atmospheric Sciences from Cornell University
in 1981.
Glenn
E. Van Knowe, PhD, Vice-President
and Senior Research Scientist, has over 30 years of broad based
experience that includes applying meteorological applications to
government and private industry operations. As a U.S. Air Force
Chief Meteorologist at the Air Force Research Lab in Rome, NY, Dr.
Van Knowe managed all environmental research and support to the
laboratory for over 4 billion dollars in R&D efforts for advanced
surveillance systems. As the Chief Meteorologist for the modeling/simulation
group at the Air Force Combat Climatology Center, he led the team
that produced the first physically based high-resolution climate
modeling system for the U.S. Department of Defense (DoD). He led
the research effort to maximize benefits of blending physical and
statistical modeling techniques to produce optimum climate information,
which led to the development of a high-resolution climate model
to support DoD operations. This in turn led to the adaptation of
the climate data model for wind power applications. Dr. Van Knowe
has become a leader in the field of the unique application of atmospheric
models to operational problems to include physical, statistically,
neural network and expert based models.
Glenn
received his Ph.D. in Meteorology from Saint Louis University in
1996.
John Manobianco, PhD, Vice-President of Operations, has nearly 25 years of experience as a leader in technology and business management. He currently oversees all operational product production including forecast services provided through AWS Truepower. Before joining MESO, Dr. Manobianco was the Director of Research at AWS Truepower managing and sustaining
research in support of company objectives and client-sponsored initiatives. He joined AWS
Truepower in 2008 to lead analysis of wind, solar, and other meteorological data, assessment
of energy resources on both regional and local scales, resource mapping, and estimation of
energy production. Dr. Manobianco spent nearly 15 years with ENSCO, Inc. a Falls Church,
VA-based engineering, science, and software services company. After joining ENSCO in
1993, he managed technology transfer for the U.S. Space Program as part of NASA.s Applied
Meteorology Unit. During his 10 years with this unit, Dr. Manobianco received two NASA
Space Act Awards in recognition of his efforts to configure, evaluate, and transition numerical
weather prediction systems to improve operational weather forecasting in east central Florida.
From 2003-2008, he served as ENSCO.s Director of Advanced Technology and established
a new business area to pursue wireless sensors for environmental and defense applications.
John received his Ph.D. in Meteorology from Florida State University in 1988.
Kenneth
T. Waight, PhD,
Senior Research Scientist, has over sixteen years experience in
managing the development of MESO's Mesoscale Atmospheric Simulation
System (MASS) model. He has a managing role in the improvements
in parameterization of the surface energy budget, planetary boundary
layer, surface hydrology, and cumulus convection. Dr. Waight manages
all phases of development of MASS and designed the original software
framework that allows for the execution of both real-time and research
atmospheric model simulations. He developed the physics package
used in MASS to parameterize the earth's surface energy budget,
long- and shortwave radiation, planetary boundary layer and surface
hydrology. He also designed and implemented a Perl-based modular
framework for execution of series of mesoscale model simulations
used for wind energy and climatological applications, as well as
real-time forecasting applications.
Ken received
his Ph.D. in Atmospheric Science from the University of Wyoming
in 1987
Mary
D. Bousquet,
Treasurer and Senior Scientific Programmer, is an original founder
of MESO, Inc. In her administrative role, she has over 16 years
experience in managing company functions ranging from accounts receivable
and payable, payroll, office management, human resources and benefits,
and contractual and administrative duties. In addition, she has
over 18 years experience in atmospheric model diagnostic and applications
programming and extensive experience in handling two- and three-dimensional
numerical model data sets. Programming experience includes the development
of software to visualize the output of three-dimensional atmospheric
models using the NCAR graphics package, as well as pre- and post-processing
of model input/output data sets. Duties include the procurement
and preparation of numerous, varied databases for initialization
of the MASS atmospheric model, and organization and set- up of procedures
for archiving terabytes of model output data.
Pamela
Price Barlow, Research Scientist,
has eighteen years experience in the development and application
of MESO's atmospheric numerical models and is a leader in the area
of managing atmospheric modeling systems designed to produce wind
maps. She has significant expertise in improving cloud model microphysics
and creating applications for such cloud modeling capabilities.
She is an expert programmer in several computer languages and manager
of many meteorological data processing applications involving model
data decoding. She is expert in the area of creating applications
that translates "raw" atmospheric model output into products
required by a wide range of customers and has vast experience in
real-time operational procedures including model data ingestion,
Unix shell scripting and overall computer system management of assuring
problem-free operational applications.
Joseph
J. Nocera,
has experience in developing applications from atmospheric model
output to meet various operational requirements. Since joining the
MESO staff in January 2000, Joe has become an expert in translating
model generated high-resolution data into products that support
a large diversity of customers. Joe leads the development team of
the system to support hourly updates of wind power forecasts programs
in real time, and is the lead programmer for developing many source
codes that translate model output into wind maps. Joe has developed
statistical methods that fine tune physical model output from knowledge
of observed data in order to provide customers with a more accurate
wind forecast. He is also the manager of MESO's Agricultural product
operations - in charge of customer product delivery and development,
and responsible for all the direct interactions with customers concerning
technical inquires and requests for the agricultural products. He
is also the key developer of applications of high-resolution climate
data to support DoD operations.
Daniel
A. Meade,
is the manager of MESO's day-to-day forecast production operations,
in charge of customer product delivery and responsible for all the
direct interactions with customers. He is the lead programmer for
developing source code that translates model output into wind power
forecasts. Dan assisted with the research of neural network and
statistical methods that adjusts the physical model output of wind
power in real time based upon the observed performance of wind plant
power production rates, and contributed to the development of a
post-processing system that creates statistical verification information
on the performance of various types of model forecasts. Dan also
made significant contributions to developing a real time automated
monitoring and alerting system that notifies key personal of any
problems with the product creation and/or delivery of all wind power
forecasting products.
Steven H. Young, research scientist, has been with MESO since 1991. Over that time, he has been actively involved in developing many unique applications for mesoscale and dispersion models. He has taken the primary or supporting role in the implementation of numerous improvements to the MASS modeling system from data assimilation to turbulence parameterization. Steve has six years’ experience in continued development and fine-tuning of MASS for the purpose of optimizing wind mapping and forecasting. During that time, he has developed methods based on weather regimes to improve the accuracy of short and long term wind forecasts, helped develop techniques to distribute a small network of offsite sensors, and added four-dimensional data assimilation capabilities to MASS. He has extensive programming expertise in Fortran and Unix/Linux shell scripting.
Matt Cote, Assistant Forecast Operations Manager, has been with MESO since 2007. He interacts with customers on the performance of their renewable energy forecasts, working to ensure that all forecast products meet or exceed expectations. Matt continually monitors forecast performance to ensure exceptional quality and identify areas for research endeavors aimed at reducing forecast error. He also manages a suite of interactive customer web sites used for the display of renewable energy forecasts. Matt's work on the development and implementation of a first-generation product to alert system operators to the potential for large wind ramp events proves that he remains on the forefront of the latest developments in renewable energy forecasting technology and innovation.
Eddie Natenberg, Research Scientist, has experience in the development and testing of various data assimilation and modeling capabilities for both the Weather Research and Forecasting (WRF) model and Advanced Regional Prediction System (ARPS). His expertise focuses on high resolution short term forecasting and data assimilation techniques including Variational Data Assimilation (VAR) systems and the Ensemble Kalman Filter (EnKF). He has experience with both convective forecasting and assimilating data from remotely sensed observations. His current work focuses on both Ensemble Based Sensitivity Analysis (ESA) and hybrid data assimilation techniques for wind power forecasting. Eddie received his M.S. in meteorology from the University of Oklahoma in 2008.
Melanie Dean, is the WeatherARC Operations Manager and manages many of the day-to-day tasks of MESO's Agricultural product operations. She has helped with several operational and research tasks including the creation and maintenance of a database to track computer hardware and improve computer resource management. Melanie also maintains MESO's online archives of weather data including hourly, summary of the day, snowfall, snow depth, and upper air data. She has broad experience with PHP, MySQL, shell scripting, and website design.
Tim Melino, Meteorologist and scientific programmer, has expertise in running the Weather Research and Forecasting Model (WRF), along with knowledge of model configurations, installation, and output analysis. He also has experience in mesoscale modeling of convective events through in depth research done to improve forecasting of convective events during the North American Monsoon in the Southwest U.S. He has knowledge and experience with software packages including the General Meteorological Package, NCAR Command Language, and UNIDATA Integrated Viewer with a background in programming languages such as Fortran, perl, and Unix/Linux shell scripting.
John
W. Zack, PhD, President and Senior
Research Scientist, has been with MESO, Inc. since it's incorporation
in 1985. As a principal developer of MESO's Mesoscale Atmospheric
Simulation System (MASS) model, Dr. Zack has made major contributions
to the formulation and implementation of the model's planetary boundary
layer parameterization, cumulus parameterization schemes and cloud
physics schemes. This modeling expertise has been instrumental in
helping MESO to utilize a wide range of atmospheric models, including
OMEGA, MM5 and WRF, for both research and forecasting applications.
Dr. Zack has become a specialist in the application of atmospheric
model products to solve industrial requirements. He is now recognized
as a leading authority in the application of atmospheric modeling
techniques for the purpose of producing wind maps and forecasts
for the wind energy industry. He has invaluable expertise in system
design for operational applications of atmospheric models.
Glenn
E. Van Knowe, PhD, Vice-President
and Senior Research Scientist, has over 30 years of broad based
experience that includes applying meteorological applications to
government and private industry operations. As a U.S. Air Force
Chief Meteorologist at the Air Force Research Lab in Rome, NY, Dr.
Van Knowe managed all environmental research and support to the
laboratory for over 4 billion dollars in R&D efforts for advanced
surveillance systems. As the Chief Meteorologist for the modeling/simulation
group at the Air Force Combat Climatology Center, he led the team
that produced the first physically based high-resolution climate
modeling system for the U.S. Department of Defense (DoD). He led
the research effort to maximize benefits of blending physical and
statistical modeling techniques to produce optimum climate information,
which led to the development of a high-resolution climate model
to support DoD operations. This in turn led to the adaptation of
the climate data model for wind power applications. Dr. Van Knowe
has become a leader in the field of the unique application of atmospheric
models to operational problems to include physical, statistically,
neural network and expert based models.
John Manobianco, PhD, Vice-President of Operations, has nearly 25 years of experience as a leader in technology and business management. He currently oversees all operational product production including forecast services provided through AWS Truepower. Before joining MESO, Dr. Manobianco was the Director of Research at AWS Truepower managing and sustaining
research in support of company objectives and client-sponsored initiatives. He joined AWS
Truepower in 2008 to lead analysis of wind, solar, and other meteorological data, assessment
of energy resources on both regional and local scales, resource mapping, and estimation of
energy production. Dr. Manobianco spent nearly 15 years with ENSCO, Inc. a Falls Church,
VA-based engineering, science, and software services company. After joining ENSCO in
1993, he managed technology transfer for the U.S. Space Program as part of NASA.s Applied
Meteorology Unit. During his 10 years with this unit, Dr. Manobianco received two NASA
Space Act Awards in recognition of his efforts to configure, evaluate, and transition numerical
weather prediction systems to improve operational weather forecasting in east central Florida.
From 2003-2008, he served as ENSCO.s Director of Advanced Technology and established
a new business area to pursue wireless sensors for environmental and defense applications.
John received his Ph.D. in Meteorology from Florida State University in 1988.
Kenneth
T. Waight, PhD,
Senior Research Scientist, has over sixteen years experience in
managing the development of MESO's Mesoscale Atmospheric Simulation
System (MASS) model. He has a managing role in the improvements
in parameterization of the surface energy budget, planetary boundary
layer, surface hydrology, and cumulus convection. Dr. Waight manages
all phases of development of MASS and designed the original software
framework that allows for the execution of both real-time and research
atmospheric model simulations. He developed the physics package
used in MASS to parameterize the earth's surface energy budget,
long- and shortwave radiation, planetary boundary layer and surface
hydrology. He also designed and implemented a Perl-based modular
framework for execution of series of mesoscale model simulations
used for wind energy and climatological applications, as well as
real-time forecasting applications.
Mary
D. Bousquet,
Treasurer and Senior Scientific Programmer, is an original founder
of MESO, Inc. In her administrative role, she has over 16 years
experience in managing company functions ranging from accounts receivable
and payable, payroll, office management, human resources and benefits,
and contractual and administrative duties. In addition, she has
over 18 years experience in atmospheric model diagnostic and applications
programming and extensive experience in handling two- and three-dimensional
numerical model data sets. Programming experience includes the development
of software to visualize the output of three-dimensional atmospheric
models using the NCAR graphics package, as well as pre- and post-processing
of model input/output data sets. Duties include the procurement
and preparation of numerous, varied databases for initialization
of the MASS atmospheric model, and organization and set- up of procedures
for archiving terabytes of model output data.
Pamela
Price Barlow, Research Scientist,
has eighteen years experience in the development and application
of MESO's atmospheric numerical models and is a leader in the area
of managing atmospheric modeling systems designed to produce wind
maps. She has significant expertise in improving cloud model microphysics
and creating applications for such cloud modeling capabilities.
She is an expert programmer in several computer languages and manager
of many meteorological data processing applications involving model
data decoding. She is expert in the area of creating applications
that translates "raw" atmospheric model output into products
required by a wide range of customers and has vast experience in
real-time operational procedures including model data ingestion,
Unix shell scripting and overall computer system management of assuring
problem-free operational applications.
Joseph
J. Nocera,
has experience in developing applications from atmospheric model
output to meet various operational requirements. Since joining the
MESO staff in January 2000, Joe has become an expert in translating
model generated high-resolution data into products that support
a large diversity of customers. Joe leads the development team of
the system to support hourly updates of wind power forecasts programs
in real time, and is the lead programmer for developing many source
codes that translate model output into wind maps. Joe has developed
statistical methods that fine tune physical model output from knowledge
of observed data in order to provide customers with a more accurate
wind forecast. He is also the manager of MESO's Agricultural product
operations - in charge of customer product delivery and development,
and responsible for all the direct interactions with customers concerning
technical inquires and requests for the agricultural products. He
is also the key developer of applications of high-resolution climate
data to support DoD operations.
Daniel
A. Meade,
is the manager of MESO's day-to-day forecast production operations,
in charge of customer product delivery and responsible for all the
direct interactions with customers. He is the lead programmer for
developing source code that translates model output into wind power
forecasts. Dan assisted with the research of neural network and
statistical methods that adjusts the physical model output of wind
power in real time based upon the observed performance of wind plant
power production rates, and contributed to the development of a
post-processing system that creates statistical verification information
on the performance of various types of model forecasts. Dan also
made significant contributions to developing a real time automated
monitoring and alerting system that notifies key personal of any
problems with the product creation and/or delivery of all wind power
forecasting products.
Steven H. Young, research scientist, has been with MESO since 1991. Over that time, he has been actively involved in developing many unique applications for mesoscale and dispersion models. He has taken the primary or supporting role in the implementation of numerous improvements to the MASS modeling system from data assimilation to turbulence parameterization. Steve has six years’ experience in continued development and fine-tuning of MASS for the purpose of optimizing wind mapping and forecasting. During that time, he has developed methods based on weather regimes to improve the accuracy of short and long term wind forecasts, helped develop techniques to distribute a small network of offsite sensors, and added four-dimensional data assimilation capabilities to MASS. He has extensive programming expertise in Fortran and Unix/Linux shell scripting.
Matt Cote, Assistant Forecast Operations Manager, has been with MESO since 2007. He interacts with customers on the performance of their renewable energy forecasts, working to ensure that all forecast products meet or exceed expectations. Matt continually monitors forecast performance to ensure exceptional quality and identify areas for research endeavors aimed at reducing forecast error. He also manages a suite of interactive customer web sites used for the display of renewable energy forecasts. Matt's work on the development and implementation of a first-generation product to alert system operators to the potential for large wind ramp events proves that he remains on the forefront of the latest developments in renewable energy forecasting technology and innovation.
Eddie Natenberg, Research Scientist, has experience in the development and testing of various data assimilation and modeling capabilities for both the Weather Research and Forecasting (WRF) model and Advanced Regional Prediction System (ARPS). His expertise focuses on high resolution short term forecasting and data assimilation techniques including Variational Data Assimilation (VAR) systems and the Ensemble Kalman Filter (EnKF). He has experience with both convective forecasting and assimilating data from remotely sensed observations. His current work focuses on both Ensemble Based Sensitivity Analysis (ESA) and hybrid data assimilation techniques for wind power forecasting. Eddie received his M.S. in meteorology from the University of Oklahoma in 2008.
Melanie Dean, is the WeatherARC Operations Manager and manages many of the day-to-day tasks of MESO's Agricultural product operations. She has helped with several operational and research tasks including the creation and maintenance of a database to track computer hardware and improve computer resource management. Melanie also maintains MESO's online archives of weather data including hourly, summary of the day, snowfall, snow depth, and upper air data. She has broad experience with PHP, MySQL, shell scripting, and website design.
Tim Melino, Meteorologist and scientific programmer, has expertise in running the Weather Research and Forecasting Model (WRF), along with knowledge of model configurations, installation, and output analysis. He also has experience in mesoscale modeling of convective events through in depth research done to improve forecasting of convective events during the North American Monsoon in the Southwest U.S. He has knowledge and experience with software packages including the General Meteorological Package, NCAR Command Language, and UNIDATA Integrated Viewer with a background in programming languages such as Fortran, perl, and Unix/Linux shell scripting.