David Schultz is Professor of Synoptic Meteorology, Department of Earth and Environmental Sciences, University of Manchester. He was born in Pittsburgh, Pennsylvania, received his BSc from MIT, his MSc from the University of Washington, and his PhD from the University at Albany, State University of New York. Previously, he worked for the NOAA/National Severe Storms Laboratory and University of Oklahoma and the University of Helsinki and Finnish Meteorological Institute. He co-founded the Centre for Crisis Studies and Mitigation at Manchester to build a network of researchers across campus who work on all aspects of natural hazards and their impact on society. He has studied atmospheric phenomenon from as small as tornadoes to as large as the global circulation during the Snowball Earth 2.5 billion years ago. His principal research interests are extratropical cyclones, fronts, convective storms, severe weather, and the organization of precipitation, where he has clarified conceptual models, revised the nearly 100 year old model of extratropical cyclone evolution and the formation of occluded fronts, and revealed the airstreams such as the cold conveyor belt and sting jet. He has been critical of poor science and communication, specifically the language around instabilities and the scientific literature published on the effect of weather on the spread of COVID-19. He also has interests in the history of meteorology, educational approaches, and weather and health. He won the 2020 Outstanding Achievement in Biometeorology Award for his article on the effect of weather on pain in people living with chronic pain, as part of the Cloudy With a Chance of Pain project. He is winner of multiple teaching and supervision awards. He has published over 220 journal articles and is author of Eloquent Science: A Practical Guide to Becoming a Better Writer, Speaker, and Atmospheric Scientist, which has been translated into Chinese.
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Activity (1)
Build Your Own Earth part of Teach the Earth:Teaching Activities
Build Your Own Earth is a freely available web site to explore the factors that affect Earth's climate. Climate model simulations reveal the annual distributions of 50 different quantities. An accompanying ...