جست‌وجوی استاد و پژوهشگر

Steven Greybushمشاهده پروفایل

دانشیار

• Atmospheric Science
• Meteorology
• Climate Modeling
• +۹ مورد دیگر

Steven Greybush is an Associate Professor in the Department of Meteorology and Atmospheric Science at Pennsylvania State University, College of Earth and Mineral Sciences. He is based in University Park, PA, and his research bridges atmospheric science, climate modeling, and interdisciplinary applications. He leads and contributes to major research initiatives involving AI-enhanced weather forecasting, planetary meteorology, and climate impacts on water and health systems. His research interests include Atmospheric Science , Climate Modeling , Data Assimilation , Planetary Meteorology (especially Mars) , Lake-Effect Snowbands , Tropical Cyclones , and Climate-Health Interactions . His work applies advanced techniques such as the Ensemble Kalman Filter (EnKF), Local Ensemble Transform Kalman Filter (LETKF), and AI-driven models to improve predictions of weather and climate phenomena. His recent publications (2021–2025) reveal a strong trend in integrating satellite and radar data into numerical models, enhancing forecasts of convection, hurricanes, and snowstorms. He also explores Martian atmospheric dynamics and the impact of climate variability on public health in Africa. His work is supported by major grants from NASA and NSF, including a $1.23 million NASA grant to improve AI satellite weather forecasting and an NSF grant for AI-powered weather pattern understanding. $1.23 million NASA grant for AI satellite weather forecasting NSF grant for AI-powered weather pattern understanding Penn State part of $6.6M consortium to improve weather forecasting Reducing Uncertainty in River System Forecasts to Maximize Nuclear and Hydro Generation Greybush collaborates with interdisciplinary teams and participates in field campaigns such as IMPACTS (Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms). He advises or co-advises graduate students and researchers, though specific advisees are not listed. His work is published in top journals including Journal of Geophysical Research , Monthly Weather Review , JAMA Network Open , and PNAS .

• Transportation Engineering
• Location Optimization
• Geospatial Information Science
• +۴ مورد دیگر

Tae J. Kwon is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta . His research spans Winter Transportation Engineering , Intelligent Transportation Systems (ITS) , Traffic Optimization , and Geospatial Information Science . Developed LoRWIS , a web-based decision support system for road weather sensor optimization Recipient of multiple awards including ITS Canada Excellence in Research and Development Award (2024) , KOFST Scientist of the Year (2024) , and Early Career Research Award (University of Alberta, 3 times) Active in professional committees like the TRB Surface Transportation Weather Research Group (2016–present) Research Highlights : Winter Road Maintenance : Advanced geostatistical and deep learning techniques for road condition monitoring Location Optimization : Pioneered models for RWIS sensor placement using hybrid geostatistical methods Intelligent Transportation Systems : Focused on big data applications for traffic safety and connected vehicles Climate Resilience : Integrated ecological vulnerability into fire hazard modeling Scientific Awards : ITS Canada Excellence in Research (2024) KOFST Scientist of the Year (2024) Donald Stanley Best Paper Award (2023) AKCSE Early Achievement Award (2021) University of Alberta Early Career Research Award (2020) Great Supervisor Award (2019) Teaching & Leadership : Teaches courses like CIV E 419 (Transportation Engineering: Highway Planning and Design) and CIV E 612 (Transportation Planning: Methodology and Techniques) Leads the Geospatial Transportation System & Sensing Solutions Lab (GeoTrans) , mentoring PhD students Juan Cuellar and Jiehao Bi Collaborates with agencies including Alberta Transportation , NSERC , and Iowa DOT

Brian Colleمشاهده پروفایل

استاد

• Extreme weather
• Coastal meteorology
• Weather forecasting
• +۱ مورد دیگر

Brian Colle is a Professor and Division Head of Atmospheric Sciences at Stony Brook University's School of Marine and Atmospheric Sciences (SoMAS). His research focuses on extreme weather, coastal meteorology, weather forecasting, and regional climate change. He leads the COMAP (COastal Meteorological And Prediction) group, which aims to improve understanding and forecasting of extreme weather events in coastal regions. Colle holds a Ph.D. from the University of Washington (1997). Education: Ph.D., University of Washington, 1997 Research Interests: Colle’s work spans severe convective storms, extratropical cyclones, precipitation dynamics, and climate impacts. His group employs numerical models like Weather Research and Forecasting (WRF) and collaborates on initiatives like the IMPACTS snowstorm study and OLYMPEX field project. Recent projects include analyzing storm surge flooding, microscale updrafts, and ensemble forecasting techniques. Publications Highlight Trends: Recent work emphasizes coastal flooding compounding effects, cyclone forecasting innovations, and immersive visualization tools for risk communication. His studies bridge atmospheric processes with societal impacts, addressing climate adaptation challenges in urban environments. Advising & Collaboration: Colle’s research involves interdisciplinary efforts with institutions like Brookhaven National Laboratory and the New York City Panel on Climate Change. His lab’s focus on high-resolution modeling and stakeholder engagement aims to enhance preparedness for extreme weather events. Labs/Teams: COMAP Lab focuses on coastal meteorology and numerical modeling, contributing to climate resilience strategies and disaster risk reduction.

Sarah Kaufmanمشاهده پروفایل

استادیار بالینی

• Transportation
• Urban Planning
• Urban Policy
• +۷ مورد دیگر

Sarah Kaufman serves as Director of the NYU Rudin Center for Transportation and Assistant Clinical Professor of Public Service at New York University's Wagner Graduate School of Public Service. Her work bridges academic research and practical policy solutions for urban transportation systems, with emphasis on equity, technology, and resilience. Her research spans transportation policy, urban planning, emergency management, and climate change adaptation. Key focus areas include mobility equity (notably the "pink tax" on transportation), micromobility systems, autonomous vehicle governance, and disaster response protocols. She investigates how technology and policy can create more inclusive and resilient urban mobility networks, with particular attention to gender disparities and climate vulnerabilities. Analysis of her 15 most recent publications reveals consistent themes in transportation equity, emerging technologies, and crisis management. Her work demonstrates methodological diversity—from agent-based modeling (MATSim-NYC) to policy analysis of scooter sharing—and maintains strong practical relevance through partnerships with transportation agencies. Notable trends include the evolution of micro-mobility regulation, gender-based mobility disparities, and transportation's critical role in pandemic and extreme weather response. As Director of the Rudin Center, she leads a multidisciplinary research team that produces policy-influential reports on congestion pricing, transit innovation, and sustainable mobility. The center serves as a hub for collaboration between government agencies, industry stakeholders, and community organizations, translating academic research into actionable transportation solutions for New York City and beyond.

• Climate Science
• Environmental Science
• Atmospheric Science
• +۷ مورد دیگر

Summary Dr. Gonzalo Miguez Macho is a Professor at the Department of Particle Physics, Faculty of Physics, Universidade de Santiago de Compostela. His research focuses on climate science, environmental dynamics, and numerical modeling, with emphasis on land-use impacts, hydroclimatic sustainability, and wildfire behavior. He leads the GFNL Nonlinear Physics Group and is affiliated with the Center for Interdisciplinary Research in Environmental Technologies (CRETUS). Education: Ph.D. in Atmospheric Sciences (not explicitly stated, inferred from research focus). Research Interests: Dr. Miguez Macho studies climate change effects on ecosystems, particularly in the Amazon and Mediterranean regions. His work explores soil moisture dynamics, groundwater interactions, and the role of vegetation in precipitation recycling. He also investigates extreme weather events, such as heatwaves and wildfires, and their links to anthropogenic climate change. Publications: His recent work includes studies on groundwater influences on soil moisture, climate impacts of urbanization in Phoenix, and modeling deep root water uptake in tropical forests. Key themes include land-atmosphere feedbacks and the hydrological cycle. Awards: None explicitly mentioned in the text. Grants/Teams: Collaborates with institutions like NCAR and USGS on projects such as CONUS404 datasets and wildfire modeling. His research group uses advanced models like WRF and RAMS for simulations. Labs/Teams: GFNL Nonlinear Physics Group and CRETUS, focusing on interdisciplinary environmental research.

Stanley Benjaminمشاهده پروفایل

پژوهشگر

• Atmospheric Science
• Weather Modeling
• Data Assimilation
• +۴ مورد دیگر

Stanley Benjamin serves as a Senior Research Scientist at the Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado Boulder, where he works as a senior scientist advisor for advanced modeling systems. His research is closely affiliated with NOAA's Earth System Research Laboratories, particularly within the Global Systems Laboratory. Benjamin earned his Ph.D. from Pennsylvania State University in 1983 and has established himself as a leading expert in weather prediction modeling. Ph.D., Pennsylvania State University, 1983 Benjamin's primary research focuses on developing next-generation weather and earth-system models, with particular emphasis on data assimilation techniques and improving seamless prediction of extreme weather from short-range to seasonal time scales. His work centers on the development and implementation of the Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) models, which are now operational systems used by weather forecasters nationwide to predict rapidly changing conditions including tornadoes, flash flooding, and severe snowstorms. His research spans atmospheric science, climate prediction, energy applications, and water resources, with significant contributions to coupled atmospheric-ocean modeling, storm-scale ensemble data assimilation, and improved representation of clouds and boundary layer processes. Analysis of Benjamin's publication record reveals a consistent focus on advancing numerical weather prediction systems, with particular emphasis on improving model initialization techniques, data assimilation methods, and representation of physical processes. His recent work shows increasing attention to coupled modeling systems, particularly for lake-atmosphere interactions and renewable energy applications. The publications demonstrate a strong interdisciplinary approach, bridging meteorology, hydrology, and climate science to address practical forecasting challenges. Scientific Recognition U.S. Department of Commerce Bronze Medal (1998) American Meteorological Society Fellow (2004) Multiple NOAA Office of Atmospheric Research Outstanding Paper awards (2006, 2008, 2010) NOAA Research Employee of the Year (2013) Colorado Governor's Award for High-Impact Research (2015) NOAA Technology Transfer Award (2017) Gold Medal for revolutionary thunderstorm prediction tool Benjamin has been instrumental in translating research into operational forecasting systems, particularly through his leadership in developing the RAP and HRRR models. His work has significantly impacted severe weather prediction, aviation forecasting, and renewable energy management. He has collaborated extensively with government agencies including NOAA, DOE, and the National Weather Service, securing research funding for projects focused on improving weather prediction capabilities for practical applications. Benjamin maintains active involvement in the Global Systems Laboratory where his team applies advanced physical parameterizations for global models within the NOAA Unified Forecast System. His laboratory work centers on the Global Systems Laboratory at NOAA, where his research group develops and implements next-generation weather prediction models. Current projects include advancing the NOAA Unified Forecast System, improving coupled atmospheric-ocean modeling, and developing enhanced representations of clouds and boundary layer processes for severe weather prediction. The team's work has direct applications for the aviation/transportation community and renewable energy management, particularly for wind and solar energy projects conducted in collaboration with the Department of Energy.

David James Deleneمشاهده پروفایل

استاد پژوهشی

• Cloud Physics
• Atmospheric Aerosols
• Airborne Measurements
• +۷ مورد دیگر

David James Delene is a Research Professor in the Department of Atmospheric Sciences at the University of North Dakota , with a secondary appointment as Aerospace Research Fellow at the John D. Odegard School of Aerospace Sciences. His expertise spans Cloud Physics , Atmospheric Aerosols , and Airborne Measurements , with a focus on Scientific Programming and Open Source Software development. He has taught advanced courses in Atmospheric Chemistry and Measurement Systems since 2006 and led significant research initiatives including the IMPACTS and FATIMA field campaigns. Education : Ph.D. in Atmospheric Science (University of Wyoming), MS in Geophysics (Michigan Tech), BS in Applied Physics (Michigan Tech) Research Interests center on airborne measurement systems, cloud microphysics, aerosol dynamics, and machine learning applications in meteorology. He develops open-source tools like ADTAE and adpaa_readplot_ccncdata for atmospheric data analysis. His work bridges Remote Sensing with Statistical Analysis to improve weather modification techniques. Scientific Awards include: UND's Spirit Faculty Achievement Award (2014) Golden Remer Awards (2007, 2013) Biggest Techie Award (2009) Delene advises both undergraduate capstone projects and graduate students in Atmospheric Sciences, with recent master's advisees including Kendra Sand (2024) and Joseph O'Brien (2023). He manages the Ballooning Laboratory and maintains the department's Atmospheric Sciences Wiki , contributing to UNIDATA and NASA EPSCoR programs.

Mariko Oueمشاهده پروفایل

عضو هیئت علمی

• Radar Polarimetry
• Mixed-Phase Cloud Microphysics
• Radar Simulators
• +۳ مورد دیگر

Mariko Oue is a Research Assistant Professor at Stony Brook University's School of Marine and Atmospheric Sciences (SoMAS). She holds a Ph.D. in Science from Nagoya University (2010), followed by postdoctoral research at the Hydrospheric Atmospheric Research Center (2010–2012) and Pennsylvania State University (2012–2015). Her research focuses on radar polarimetry, mixed-phase cloud microphysics, and radar simulators. She uses forward radar simulators and field observations (e.g., millimeter-wavelength radars and lidars) to study cloud dynamics and microphysics, particularly in Arctic and midlatitude systems. Key contributions include the development of the Cloud Resolving Model Radar Simulator (CR-SIM), now in version 4.0, and leadership in radar science training programs. Her work integrates radar data with Doppler spectral analysis and lidar measurements to understand ice crystal habits, precipitation formation, and cloud properties. She has organized workshops like the 2019 CR-SIM Short Course and contributed to initiatives like the ARM Radar Network. Oue’s research emphasizes bridging observational and modeling approaches to advance understanding of cloud processes and their climatic impacts. She collaborates on projects such as the Tracking Aerosol Convection interactions ExpeRiment (TRACER) and the Investigation of Microphysics and Precipitation for Atlantic coast-threatening snowstorms (IMPACTS). Publications highlight her expertise in Arctic mixed-phase clouds, secondary ice production, and radar-based vertical velocity retrievals. She has led training programs for early-career scientists, including the 2023 Summer School on Cloud and Precipitation Observations at Stony Brook. Her lab, the Stony Brook Radar Observatory, operates cutting-edge radar facilities for atmospheric research.

Michael Cottman Morganمشاهده پروفایل

استاد

• Synoptic Meteorology
• Large Scale Dynamics
• Mid-Latitude Weather Systems
• +۴ مورد دیگر

Michael Cottman Morgan is a Professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin-Madison, affiliated with the College of Letters and Science. He holds a PhD from the Massachusetts Institute of Technology and has served as Chair of the department’s undergraduate program for multiple terms (2005–2007, 2008–2010, 2014–2022). His research focuses on synoptic meteorology, large-scale atmospheric dynamics, and the predictability of mid-latitude and tropical weather systems. Education: PhD, Massachusetts Institute of Technology Dr. Morgan’s research applies adjoint-derived forecast sensitivity fields to analyze weather systems, with a particular emphasis on snowstorms, frontogenesis, and optimal perturbation evolution. His work bridges theoretical frameworks (e.g., Eady model, potential vorticity inversion) and practical weather prediction tools. Recent publications highlight synoptic-dynamic interpretations of sensitivity gradients and predictability challenges in weather modeling. He has contributed extensively to academic service, including leadership roles in the American Meteorological Society (AMS) and the World Meteorological Organization. In 2015, he was honored as an AMS Fellow. His sabbatical experiences include serving as an AMS/UCAR Congressional Science Fellow (2007–2008) and National Science Foundation Division Director for Atmospheric and Geospace Sciences (2010–2014). Scientific Awards: Fellow, American Meteorological Society (2015) Dr. Morgan has supervised multiple PhD students, including Dr. Eric Rappin, Dr. Hyun Mee Kim, and Dr. Chih-Chieh "Jack" Chen. His research group investigates topics such as rotating tank experiments, isentropic trajectories, and non-linear balance PV inversion, with applications to the National Collegiate Weather Forecasting Contest.

Sandra Yuterمشاهده پروفایل

استاد

• Geospatial Analytics
• Weather and Climate Dynamics
• Shallow Marine Clouds
• +۵ مورد دیگر

Sandra Yuter is a Professor in the Department of Marine, Earth and Atmospheric Sciences at North Carolina State University. Her research focuses on geospatial analytics and remote sensing to study weather and climate dynamics, particularly in shallow marine clouds and winter storm systems. She leads the Environment Analytics Research Group, which develops large-scale meteorological datasets for AI training and climate modeling applications. Her work includes projects like NASA's IMPACTS campaign analyzing winter storm structures, Office of Naval Research studies on marine boundary layers, and collaborations with the University of Nevada-Reno on climate adaptation for Indigenous communities. Key datasets include Northeast US winter storm radar mosaics (1996-2023) and pressure sensor networks for gravity wave research. Publications (2023-2025) emphasize radar-based analysis of snowfall patterns, pressure wave identification, and microscale updraft dynamics. Her group's tools include weather visualization platforms and educational modules for storm structure analysis. Grants span federal agencies (NASA, NSF) and industry (Delta Air Lines) totaling over $20M in active funding. Current Projects: IMPACTS (2020-2025), Marine Boundary Layer Studies (2021-2026), Tribal Climate Adaptation (2025) Labs/Teams: Environment Analytics Group, Northeast Radar Mosaic Archive, Pressure Wave Sensor Networks

David A Kristovichمشاهده پروفایل

استاد مدعو

• Boundary Layer Meteorology
• Mesoscale Meteorology
• Cloud/Precipitation Microphysics
• +۵ مورد دیگر

David A. Kristovich is an Adjunct Professor at the University of Illinois's Department of Climate, Meteorology & Atmospheric Sciences within the School of Earth, Society & Environment. He also serves as Head of the Climate and Atmospheric Sciences Section at the Illinois State Water Survey and an Affiliate of the Center for Atmospheric Sciences. His research focuses on boundary layer meteorology, mesoscale processes, and cloud/precipitation microphysics with a particular emphasis on Great Lakes weather systems. Key areas include lake-effect snowstorms, stable boundary layer dynamics, urban meteorology, and remote sensing applications. He has led major field campaigns like SAVANT and OWLeS to study atmospheric interactions with complex terrain and water bodies. Recent work emphasizes turbulence generation in stable boundary layers, topographical influences on weather patterns, and collaborative numerical modeling efforts. Over 30 years of academic contributions include over 60 peer-reviewed publications and active editorial roles in Journal of Applied Meteorology and Climatology (2012-2022). Students in his research group engage in field data collection using aircraft, radars, and lidar systems, participating in both domestic and international field experiments. Research outcomes are disseminated through high-impact journals and presentations at major scientific conferences. Current initiatives include studying meteotsunamis in the Great Lakes, urban heat island effects on lake breezes, and improving climate model simulations of lake-atmosphere interactions. His work bridges observational studies with advanced modeling to enhance understanding of mesoscale weather systems and their societal impacts.

Cary J. Mockمشاهده پروفایل

استاد

• Historical Climatology
• Synoptic Climatology
• Paleoclimatology
• +۶ مورد دیگر

Cary J. Mock is a Professor in the Department of Geography at the University of South Carolina, affiliated with the Environment and Sustainability Program and the Institute for Southern Studies. He joined the university in 1999 after postdoctoral and visiting roles at institutions like the University of Washington and the University of Massachusetts. Education: Dr. Mock holds a Ph.D. in Geography from the University of Oregon (1994), an M.S. from the University of Utah (1989), and a B.S. from the University of California, Davis (1986). Research focuses on historical climatology, synoptic climatology, and paleoclimatology. He examines extreme weather events (hurricanes, snowstorms), climatic hazards, and long-term environmental changes. His work covers North America, with emphasis on the Southeast USA, and extends to international studies of typhoons in East Asia and Arctic environments. Publications emphasize historical reconstructions of extreme weather events, climate analog approaches, and tropical cyclone histories. His recent work includes analyses of atmospheric rivers, historical hurricanes, and climate impacts on ecosystems. Teaching includes courses on climatology, hurricanes, and environmental change. He has held visiting roles at multiple institutions and contributed to edited volumes like The Encyclopedia of Quaternary Science .

Colin Zarzyckiمشاهده پروفایل

دانشیار

• Meteorology
• Climate Dynamics
• Numerical Modeling
• +۷ مورد دیگر

Colin Zarzycki is an Associate Professor of Meteorology and Climate Dynamics at Penn State University, specializing in simulating extreme atmospheric phenomena and bridging weather-climate scale gaps. His work focuses on high-resolution climate modeling for tropical cyclones, snowstorms, atmospheric rivers, and other extremes, with applications in climate change impact assessment and hazard mitigation. Penn State Faculty since 2021 Former Project Scientist at NCAR (2014-2021) Ph.D. in Atmospheric Science (University of Michigan, 2014) Research interests include: Variable-resolution climate models for regional refinement Tropical cyclone dynamics in global climate frameworks Snowstorm tracking algorithms (ESTA software) Cyclone metrics (CyMeP package) Aerosol radiative forcing with spatial heterogeneity Recent publications span 2011-2024 , emphasizing tropical cyclone modeling (12+ papers), extreme weather detection algorithms (3 software tools), and climate change impacts on snowstorms. Key collaborations include NCAR and Columbia IRI partnerships. Software development highlights: Betacast - Hindcasting framework for CESM TempestExtremes - Extreme detection in climate data CyMeP - Tropical cyclone metrics package ExTraTrack - Extratropical transition analysis ESTA - Snowstorm tracking algorithm

William Pringleمشاهده پروفایل

پژوهشگر

• Coastal Engineering
• Physical Oceanography
• Numerical Modeling
• +۵ مورد دیگر

William Pringle is a Researcher at Argonne National Laboratory, specializing in coastal ocean modeling and its interactions with the atmosphere, land, and hydrological processes. His work addresses coastal hazards such as tsunamis, storm surges, and waves generated by tropical cyclones and winter storms, with a focus on tides and probabilistic hurricane surge prediction. He collaborates extensively with Argonne’s Decision and Infrastructure Science division, the EVS Sociocultural Systems Department, the Department of Energy (DOE), and NOAA. Education: Civil Engineering from the University of Canterbury, New Zealand Post-graduate work in tsunami research at Kyoto University’s Disaster Prevention Research Institute, Japan Three-year postdoctoral research at the University of Notre Dame, advancing global tidal and storm surge modeling capabilities Research Focus: Dr. Pringle’s career centers on coastal ocean modeling and risk assessment, with applications in infrastructure resilience and climate projections. He co-developed the internationally adopted OceanMesh2D software for coastal ocean mesh generation, which supports accurate numerical modeling. His leadership in global storm surge and tide modeling using the ADCIRC model enabled NOAA’s operational Global Surge and Tide Forecast System. He also designed high-resolution coastal flood risk frameworks for U.S. utilities like AT&T and the New York Power Authority, contributing to national resilience planning. His innovative use of machine learning to quantify uncertainties in storm tide forecasts and regional climate simulations has influenced NOAA and DOE-sponsored projects. Publication Trends: Recent studies emphasize coastal and climate science in the Great Lakes Region, integrating numerical modeling, climate projections, and machine learning. Topics include cyclone impacts on offshore wind energy, infrastructure resilience (e.g., coastal power transmission systems), and climate change effects on precipitation patterns and snowstorms. His work frequently involves interdisciplinary collaboration with institutions like NOAA, DOE, and academic partners such as the University of Notre Dame. Labs and Teams: Dr. Pringle is affiliated with Argonne National Laboratory’s Decision and Infrastructure Science division, where he contributes to coastal climate science and infrastructure risk assessments. He also partners with DOE on climate resilience projects and works alongside computational science teams at Argonne to advance hurricane risk modeling for coastal and offshore systems.

Martin Baxterمشاهده پروفایل

استاد

• Synoptic Meteorology
• Precipitation Systems
• Climatology
• +۷ مورد دیگر

Martin Baxter is a Professor in the Department of Earth and Atmospheric Sciences at Central Michigan University, within the College of Science and Technology. He has been a faculty member since 2006, contributing significantly to meteorology education and research. He is currently on sabbatical at NC State University and the National Weather Service in Raleigh, NC. Education: Ph.D. in Meteorology, St. Louis University, 2006 M.S. in Meteorology, St. Louis University, 2003 B.S. in Meteorology, University of Missouri-Columbia, 2001 Dr. Baxter's research focuses on synoptic meteorology, precipitation systems, numerical weather prediction, and forecast verification. He specializes in snow-to-liquid ratio climatology and mesoscale processes in cyclones. His work bridges academic research and operational forecasting, aiming to improve real-world weather prediction. His recent publications highlight trends in snowfall distribution, precipitation reforecasting, and the impacts of convection on downstream weather. These works fall within the broader disciplines of atmospheric science, climatology, and operational meteorology, with specific emphasis on mesoscale dynamics and forecast accuracy. Scientific Awards: 2025 Edward N. Lorenz Teaching Excellence Award, American Meteorological Society 2013-2014 CMU College of Science and Technology Sabbatical Fellowship Award 2012 Editor’s Award, Bulletin of the American Meteorological Society 2009-2010 CMU Excellence in Teaching Award Dr. Baxter has successfully mentored numerous undergraduate and graduate students in research, many of whom have presented at national conferences and pursued careers in forecasting and academia. He has secured multiple research grants from NOAA and CMU, supporting projects on snowfall distribution and numerical model predictability. He is actively involved in professional service, including editorial roles for meteorological journals and training workshops for forecasters. He leads the Mid-Mitten Weather View student forecasting group and advises the student chapter of the American Meteorological Society at CMU.