2019 Keynote Speaker<\/h2> <\/div>\n<\/div>\n \n \n \n\n \n ![\"Dr.](\"\/wordpress\/wsc2019\/files\/2018\/12\/rAtlas.jpg\")
\n <\/div>\n \n \n <\/div>\n <\/div>\n \n \n\n \n Dr. Robert Atlas<\/h4>\nDirector Emeritus<\/em>
Atlantic Oceanographic and Meteorological Laboratory<\/h5>\nModeling and Simulation for Reducing the Risks Associated with Extreme Weather<\/h3>\n
The reduction of losses related to hurricanes and other extreme weather phenomena involves many complex aspects ranging from purely theoretical, observational, computational and numerical, to operational and decisional. A correct warning can lead to proper evacuation and damage mitigation, and produce immense benefits. However, over-warning can lead to substantial unnecessary costs, a reduction of confidence in warnings, and a lack of appropriate response. In this chain of information, the role played by scientific research is crucial. The National Oceanic and Atmospheric Administration (NOAA), in combination with the National Aeronautics and Space Administration (NASA), other agencies, and universities is contributing to these efforts through observational and theoretical research to better understand the processes associated with extreme weather. This includes model and data assimilation development, Observing System Experiments (OSE), and Observing System Simulation Experiments (OSSE) designed to ascertain the value of existing observing systems and the potential of new observing systems to improve weather prediction and theoretical understanding. We describe innovative research for developing advanced next-generation global\u00a0and regional models to improve weather prediction, and the application of OSSEs to optimize the observing system.<\/p> <\/div>\n<\/div>\n\n
\n \n \n - \n \n \n Bio <\/a>\n <\/div>\n \n \n
Dr. Robert Atlas<\/strong> is the former Chief Meteorologist at NASA\\’s Goddard Space Flight Center (GSFC), and is\u00a0the Director Emeritus of the National Oceanic and Atmospheric Administration\\’s (NOAA) Atlantic Oceanographic and Meteorological Laboratory in Miami, Fla. Some of the areas he focused his research on included the prediction, movement and strengthening of hurricanes. He has worked with both satellite data and computer models as a means to study these hurricane behaviors.<\/p>\nDr. Atlas received his Ph.D. in Meteorology and Oceanography in 1976 from New York University. Prior to receiving the doctorate, he was a weather forecaster in the U.S. Air Force where he maintained greater than 95 percent forecast accuracy. From 1976 to 1978, Dr. Atlas was a National Research Council Research Associate at NASA\\’s Goddard Institute for Space Studies, New York, an Assistant Professor of Atmospheric and Oceanic Science for SUNY and Chief Consulting Meteorologist for the ABC television network.<\/p>\n
In 1978, Dr. Atlas joined NASA as a research scientist. He served as head of the NASA Data Assimilation Office from 1998-2003, and as Chief meteorologist at NASA GSFC from 2003-2005. Dr. Atlas has performed research to assess and improve the impact of satellite temperature sounding and surface wind data since 1973. He was a key member of the team that first demonstrated the significant impact of quantitative satellite data on numerical weather prediction and is the world\u2019s leading expert on Observing System Simulation Experiments, a technology that enables scientists to determine the quantitative value of new observing systems before funds are allocated for their development.<\/p>\n
He served as a member of the Satellite Surface Stress Working Group, the NASA Scatterometer (NSCAT) Science Team, the ERS Science Team, the SeaWinds Satellite Team and the Working Group for Space-based Laser Winds, the Scientific Steering Group for GEWEX, Chairman of the U.S. World Ocean Circulation Experiment (WOCE) Advisory Group for model-based air-sea fluxes, and the Council of the American Meteorological Society. He is currently a member of the Science Teams for two NASA space missions.<\/p>\n
From 1974-1976, he developed a global upper-ocean model and studied oceanic response to atmospheric wind forcing as well as large-scale atmospheric response to sea surface temperature (SST) anomalies (unusual events). In more recent years, his research concentrated on the role of how the air and sea interacts in the development of cyclones, the role of soil moisture and unusual SST events in the initiation, maintenance and decay of prolonged heat waves and drought, and most recently on the modeling and prediction of hurricane formation, movement and intensification.<\/p> <\/div>\n <\/div>\n <\/li>\n <\/ul>\n\n<\/div> <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
\n \n \n <\/div>\n <\/div>\n <\/div>\n \n \n \n \n\n \n Titan of Simulation Speakers<\/h2> <\/div>\n<\/div>\n \n \n \n\n \n ![\"Peter](\"\/wordpress\/wsc2019\/files\/2018\/12\/pGlynn.jpg\")
\n <\/div>\n \n \n <\/div>\n <\/div>\n \n \n\n \n Peter Glynn<\/h4>\nThomas Ford Professor<\/em>
Stanford University<\/h5>\nUncertainty and Risk: Simulation, Stochastics, and Statistics<\/h3>\n
Simulation has become the critical tool in understanding uncertainty in a wide range of disciplines. In this talk, we will discuss how simulation is influencing both stochastics and statistics, and also discuss insights for the simulation modeler that derive from these methodological areas. We will also talk about how the interactions between simulation, stochastics, and statistics are changing in light of advances in machine learning, increasing data volumes, and the growing availability of inexpensive parallel computing platforms.<\/p> <\/div>\n<\/div>\n\n
\n \n
\n <\/div>\n \n \n <\/div>\n <\/div>\n Dr. Robert Atlas<\/h4>\nDirector Emeritus<\/em>
Atlantic Oceanographic and Meteorological Laboratory<\/h5>\nModeling and Simulation for Reducing the Risks Associated with Extreme Weather<\/h3>\n
The reduction of losses related to hurricanes and other extreme weather phenomena involves many complex aspects ranging from purely theoretical, observational, computational and numerical, to operational and decisional. A correct warning can lead to proper evacuation and damage mitigation, and produce immense benefits. However, over-warning can lead to substantial unnecessary costs, a reduction of confidence in warnings, and a lack of appropriate response. In this chain of information, the role played by scientific research is crucial. The National Oceanic and Atmospheric Administration (NOAA), in combination with the National Aeronautics and Space Administration (NASA), other agencies, and universities is contributing to these efforts through observational and theoretical research to better understand the processes associated with extreme weather. This includes model and data assimilation development, Observing System Experiments (OSE), and Observing System Simulation Experiments (OSSE) designed to ascertain the value of existing observing systems and the potential of new observing systems to improve weather prediction and theoretical understanding. We describe innovative research for developing advanced next-generation global\u00a0and regional models to improve weather prediction, and the application of OSSEs to optimize the observing system.<\/p> <\/div>\n<\/div>\n\n
\n \n \n - \n \n \n Bio <\/a>\n <\/div>\n \n \n
Dr. Robert Atlas<\/strong> is the former Chief Meteorologist at NASA\\’s Goddard Space Flight Center (GSFC), and is\u00a0the Director Emeritus of the National Oceanic and Atmospheric Administration\\’s (NOAA) Atlantic Oceanographic and Meteorological Laboratory in Miami, Fla. Some of the areas he focused his research on included the prediction, movement and strengthening of hurricanes. He has worked with both satellite data and computer models as a means to study these hurricane behaviors.<\/p>\nDr. Atlas received his Ph.D. in Meteorology and Oceanography in 1976 from New York University. Prior to receiving the doctorate, he was a weather forecaster in the U.S. Air Force where he maintained greater than 95 percent forecast accuracy. From 1976 to 1978, Dr. Atlas was a National Research Council Research Associate at NASA\\’s Goddard Institute for Space Studies, New York, an Assistant Professor of Atmospheric and Oceanic Science for SUNY and Chief Consulting Meteorologist for the ABC television network.<\/p>\n
In 1978, Dr. Atlas joined NASA as a research scientist. He served as head of the NASA Data Assimilation Office from 1998-2003, and as Chief meteorologist at NASA GSFC from 2003-2005. Dr. Atlas has performed research to assess and improve the impact of satellite temperature sounding and surface wind data since 1973. He was a key member of the team that first demonstrated the significant impact of quantitative satellite data on numerical weather prediction and is the world\u2019s leading expert on Observing System Simulation Experiments, a technology that enables scientists to determine the quantitative value of new observing systems before funds are allocated for their development.<\/p>\n
He served as a member of the Satellite Surface Stress Working Group, the NASA Scatterometer (NSCAT) Science Team, the ERS Science Team, the SeaWinds Satellite Team and the Working Group for Space-based Laser Winds, the Scientific Steering Group for GEWEX, Chairman of the U.S. World Ocean Circulation Experiment (WOCE) Advisory Group for model-based air-sea fluxes, and the Council of the American Meteorological Society. He is currently a member of the Science Teams for two NASA space missions.<\/p>\n
From 1974-1976, he developed a global upper-ocean model and studied oceanic response to atmospheric wind forcing as well as large-scale atmospheric response to sea surface temperature (SST) anomalies (unusual events). In more recent years, his research concentrated on the role of how the air and sea interacts in the development of cyclones, the role of soil moisture and unusual SST events in the initiation, maintenance and decay of prolonged heat waves and drought, and most recently on the modeling and prediction of hurricane formation, movement and intensification.<\/p> <\/div>\n <\/div>\n <\/li>\n <\/ul>\n\n<\/div> <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
\n \n \n <\/div>\n <\/div>\n <\/div>\n \n \n \n \n\n \n Titan of Simulation Speakers<\/h2> <\/div>\n<\/div>\n \n \n \n\n \n \n <\/div>\n \n \n <\/div>\n <\/div>\n \n \n\n \n Peter Glynn<\/h4>\nThomas Ford Professor<\/em>
Stanford University<\/h5>\nUncertainty and Risk: Simulation, Stochastics, and Statistics<\/h3>\n
Simulation has become the critical tool in understanding uncertainty in a wide range of disciplines. In this talk, we will discuss how simulation is influencing both stochastics and statistics, and also discuss insights for the simulation modeler that derive from these methodological areas. We will also talk about how the interactions between simulation, stochastics, and statistics are changing in light of advances in machine learning, increasing data volumes, and the growing availability of inexpensive parallel computing platforms.<\/p> <\/div>\n<\/div>\n\n
\n \n
Atlantic Oceanographic and Meteorological Laboratory<\/h5>\n
Modeling and Simulation for Reducing the Risks Associated with Extreme Weather<\/h3>\n
The reduction of losses related to hurricanes and other extreme weather phenomena involves many complex aspects ranging from purely theoretical, observational, computational and numerical, to operational and decisional. A correct warning can lead to proper evacuation and damage mitigation, and produce immense benefits. However, over-warning can lead to substantial unnecessary costs, a reduction of confidence in warnings, and a lack of appropriate response. In this chain of information, the role played by scientific research is crucial. The National Oceanic and Atmospheric Administration (NOAA), in combination with the National Aeronautics and Space Administration (NASA), other agencies, and universities is contributing to these efforts through observational and theoretical research to better understand the processes associated with extreme weather. This includes model and data assimilation development, Observing System Experiments (OSE), and Observing System Simulation Experiments (OSSE) designed to ascertain the value of existing observing systems and the potential of new observing systems to improve weather prediction and theoretical understanding. We describe innovative research for developing advanced next-generation global\u00a0and regional models to improve weather prediction, and the application of OSSEs to optimize the observing system.<\/p> <\/div>\n<\/div>\n\n
- \n
- \n \n \n Bio <\/a>\n <\/div>\n\n\n
Dr. Robert Atlas<\/strong> is the former Chief Meteorologist at NASA\\’s Goddard Space Flight Center (GSFC), and is\u00a0the Director Emeritus of the National Oceanic and Atmospheric Administration\\’s (NOAA) Atlantic Oceanographic and Meteorological Laboratory in Miami, Fla. Some of the areas he focused his research on included the prediction, movement and strengthening of hurricanes. He has worked with both satellite data and computer models as a means to study these hurricane behaviors.<\/p>\n
Dr. Atlas received his Ph.D. in Meteorology and Oceanography in 1976 from New York University. Prior to receiving the doctorate, he was a weather forecaster in the U.S. Air Force where he maintained greater than 95 percent forecast accuracy. From 1976 to 1978, Dr. Atlas was a National Research Council Research Associate at NASA\\’s Goddard Institute for Space Studies, New York, an Assistant Professor of Atmospheric and Oceanic Science for SUNY and Chief Consulting Meteorologist for the ABC television network.<\/p>\n
In 1978, Dr. Atlas joined NASA as a research scientist. He served as head of the NASA Data Assimilation Office from 1998-2003, and as Chief meteorologist at NASA GSFC from 2003-2005. Dr. Atlas has performed research to assess and improve the impact of satellite temperature sounding and surface wind data since 1973. He was a key member of the team that first demonstrated the significant impact of quantitative satellite data on numerical weather prediction and is the world\u2019s leading expert on Observing System Simulation Experiments, a technology that enables scientists to determine the quantitative value of new observing systems before funds are allocated for their development.<\/p>\n
He served as a member of the Satellite Surface Stress Working Group, the NASA Scatterometer (NSCAT) Science Team, the ERS Science Team, the SeaWinds Satellite Team and the Working Group for Space-based Laser Winds, the Scientific Steering Group for GEWEX, Chairman of the U.S. World Ocean Circulation Experiment (WOCE) Advisory Group for model-based air-sea fluxes, and the Council of the American Meteorological Society. He is currently a member of the Science Teams for two NASA space missions.<\/p>\n
From 1974-1976, he developed a global upper-ocean model and studied oceanic response to atmospheric wind forcing as well as large-scale atmospheric response to sea surface temperature (SST) anomalies (unusual events). In more recent years, his research concentrated on the role of how the air and sea interacts in the development of cyclones, the role of soil moisture and unusual SST events in the initiation, maintenance and decay of prolonged heat waves and drought, and most recently on the modeling and prediction of hurricane formation, movement and intensification.<\/p> <\/div>\n <\/div>\n <\/li>\n <\/ul>\n\n<\/div> <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
\n\n\n <\/div>\n <\/div>\n <\/div>\n\n\n\n \n\n\nTitan of Simulation Speakers<\/h2> <\/div>\n<\/div>\n
\n\n \n\n\n \n <\/div>\n \n \n <\/div>\n <\/div>\n \n \n\n\nPeter Glynn<\/h4>\n
Thomas Ford Professor<\/em>
Stanford University<\/h5>\nUncertainty and Risk: Simulation, Stochastics, and Statistics<\/h3>\n
Simulation has become the critical tool in understanding uncertainty in a wide range of disciplines. In this talk, we will discuss how simulation is influencing both stochastics and statistics, and also discuss insights for the simulation modeler that derive from these methodological areas. We will also talk about how the interactions between simulation, stochastics, and statistics are changing in light of advances in machine learning, increasing data volumes, and the growing availability of inexpensive parallel computing platforms.<\/p> <\/div>\n<\/div>\n\n
\n \n
![\"Margaret](\"\/wordpress\/wsc2019\/files\/2018\/12\/mLoper.jpg\")
\n <\/div>\n \n \n <\/div>\n <\/div>\n ![\"Mark](\"\/wordpress\/wsc2019\/files\/2019\/03\/mark-lukens.jpg\")
\n <\/div>\n \n \n <\/div>\n <\/div>\n ![\"Sabine](\"https:\/\/meetings.informs.org\/wordpress\/wsc2019\/files\/2019\/06\/sHerlitschka.jpg\" "\\"sHerlitschka\\"")
\n <\/div>\n \n \n <\/div>\n <\/div>\n