The Carl-Gustaf Rossby Research Medal is the highest award for atmospheric science of the American Meteorological Society. It is presented to individual scientists, who receive a medal. Named in honor of meteorology and oceanography pioneer Carl-Gustaf Rossby, who was also its second (1953) recipient.
Professor Sir Brian John Hoskins, CBE FRS, is a British dynamical meteorologist and climatologist based at the Imperial College London and the University of Reading. He is a recipient of the 2024 Japan Prize along with Professor John Michael Wallace in the field of "Resources, Energy, the Environment, and Social Infrastructure" for "Establishment of a scientific foundation for understanding and predicting extreme weather events". He is a mathematician by training, his research has focused on understanding atmospheric motion from the scale of fronts to that of the Earth, using a range of theoretical and numerical models. He is perhaps best known for his work on the mathematical theory of extratropical cyclones and frontogenesis, particularly through the use of potential vorticity. He has also produced research across many areas of meteorology, including the Indian monsoon and global warming, recently contributing to the Stern review and the IPCC Fourth Assessment Report.
Sir John Theodore Houghton was a Welsh atmospheric physicist who was the co-chair of the Intergovernmental Panel on Climate Change's (IPCC) scientific assessment working group which shared the Nobel Peace Prize in 2007 with Al Gore. He was the lead editor of first three IPCC reports. He was professor in atmospheric physics at the University of Oxford, former Director General at the Met Office and founder of the Hadley Centre.
Numerical weather prediction (NWP) uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions. Though first attempted in the 1920s, it was not until the advent of computer simulation in the 1950s that numerical weather predictions produced realistic results. A number of global and regional forecast models are run in different countries worldwide, using current weather observations relayed from radiosondes, weather satellites and other observing systems as inputs.
Edward Norton Lorenz was an American mathematician and meteorologist who established the theoretical basis of weather and climate predictability, as well as the basis for computer-aided atmospheric physics and meteorology. He is best known as the founder of modern chaos theory, a branch of mathematics focusing on the behavior of dynamical systems that are highly sensitive to initial conditions.
Myles Robert Allen is an English climate scientist. He is Professor of Geosystem Science in the University of Oxford's School of Geography and the Environment, and head of the Atmospheric, Oceanic and Planetary Physics Department.
Ensemble forecasting is a method used in or within numerical weather prediction. Instead of making a single forecast of the most likely weather, a set of forecasts is produced. This set of forecasts aims to give an indication of the range of possible future states of the atmosphere. Ensemble forecasting is a form of Monte Carlo analysis. The multiple simulations are conducted to account for the two usual sources of uncertainty in forecast models: (1) the errors introduced by the use of imperfect initial conditions, amplified by the chaotic nature of the evolution equations of the atmosphere, which is often referred to as sensitive dependence on initial conditions; and (2) errors introduced because of imperfections in the model formulation, such as the approximate mathematical methods to solve the equations. Ideally, the verified future atmospheric state should fall within the predicted ensemble spread, and the amount of spread should be related to the uncertainty (error) of the forecast. In general, this approach can be used to make probabilistic forecasts of any dynamical system, and not just for weather prediction.
Joseph Smagorinsky was an American meteorologist and the first director of the National Oceanic and Atmospheric Administration (NOAA)'s Geophysical Fluid Dynamics Laboratory (GFDL).
In atmospheric science, an atmospheric model is a mathematical model constructed around the full set of primitive, dynamical equations which govern atmospheric motions. It can supplement these equations with parameterizations for turbulent diffusion, radiation, moist processes, heat exchange, soil, vegetation, surface water, the kinematic effects of terrain, and convection. Most atmospheric models are numerical, i.e. they discretize equations of motion. They can predict microscale phenomena such as tornadoes and boundary layer eddies, sub-microscale turbulent flow over buildings, as well as synoptic and global flows. The horizontal domain of a model is either global, covering the entire Earth, or regional (limited-area), covering only part of the Earth. The different types of models run are thermotropic, barotropic, hydrostatic, and nonhydrostatic. Some of the model types make assumptions about the atmosphere which lengthens the time steps used and increases computational speed.
Gordon Miller Bourne Dobson was a British physicist and meteorologist who did important work on ozone.
Raymond Hide was a British physicist, who was a professor of physics at the University of Oxford and, since 2000, senior research investigator at Imperial College, London.
The invariant set postulate concerns the possible relationship between fractal geometry and quantum mechanics and in particular the hypothesis that the former can assist in resolving some of the challenges posed by the latter. It is underpinned by nonlinear dynamical systems theory and black hole thermodynamics.
Eugenia Enriqueta Kalnay is an Argentine meteorologist and a Distinguished University Professor of Atmospheric and Oceanic Science, which is part of the University of Maryland College of Computer, Mathematical, and Natural Sciences at the University of Maryland, College Park in the United States.
Joanna Dorothy Haigh is a British physicist and academic. Before her retirement in 2019 she was Professor of Atmospheric Physics at Imperial College London, and co-director of the Grantham Institute – Climate Change and Environment. She served as head of the department of physics at Imperial College London. She is a Fellow of the Royal Society (FRS), and a served as president of the Royal Meteorological Society.
The history of numerical weather prediction considers how current weather conditions as input into mathematical models of the atmosphere and oceans to predict the weather and future sea state has changed over the years. Though first attempted manually in the 1920s, it was not until the advent of the computer and computer simulation that computation time was reduced to less than the forecast period itself. ENIAC was used to create the first forecasts via computer in 1950, and over the years more powerful computers have been used to increase the size of initial datasets and use more complicated versions of the equations of motion. The development of global forecasting models led to the first climate models. The development of limited area (regional) models facilitated advances in forecasting the tracks of tropical cyclone as well as air quality in the 1970s and 1980s.
Julia Mary Slingo is a British meteorologist and climate scientist. She was Chief Scientist at the Met Office from 2009 until 2016. She is also a visiting professor in the Department of Meteorology at the University of Reading, where she held, prior to appointment to the Met Office, the positions of Director of Climate Research in the Natural Environment Research Council (NERC) National Centre for Atmospheric Science and founding director of the Walker Institute for Climate System Research.
The North American Ensemble Forecast System (NAEFS) is a joint project involving the Meteorological Service of Canada (MSC) in Canada, the National Weather Service (NWS) in the United States, and the National Meteorological Service of Mexico (NMSM) in Mexico providing numerical weather prediction ensemble guidance for the 1- to 16-day forecast period. The NAEFS combines the Canadian MSC and the US NWS global ensemble prediction systems, improving probabilistic operational guidance over what can be built from any individual country's ensemble. Model guidance from the NAEFS is incorporated into the forecasts of the respective national agencies.
Adam A. Scaife is a British physicist and head of long range prediction at the Met Office. He is also a professor at Exeter University. Scaife carries out research into long range weather forecasting and computer modelling of the climate and has published over 250 peer reviewed studies on atmospheric dynamics, computer modelling and climate as well as popular science and academic books on meteorology.
Keith John Beven is a British hydrologist and distinguished emeritus professor in hydrology at Lancaster University. According to Lancaster University he is the most highly cited hydrologist.
Peter John Webster is a meteorologist and climate dynamicist relating to the dynamics of large-scale coupled ocean-atmosphere systems of the tropics, notably the Asian monsoon. Webster holds degrees in applied physics, mathematics and meteorology. Webster studies the basic dynamics of the coupled ocean-atmosphere system in the tropics and has applied this basic knowledge to developing warning systems for extreme weather events in Asia. He has served on a number of prestigious national and international committees including the World Climate Research Program's Joint Scientific Committee (1983-1987), chaired the international Tropical Ocean Global Atmospheric (TOGA) organizing committee (1988–94) and was co-organizer of the multinational TOGA Couple Ocean-Atmosphere (1993). He is Emeritus Professor in Earth and Atmospheric Sciences at Georgia Institute of Technology and co-founder and Chief Scientist of Climate Forecast Applications Network LLC, a weather and climate services company.
