Mathematics of the Weather / Springer Atmospheric Sciences (PDF)

¿Jurgen Steppeler obtained a PhD in theoretical particle physics and mathematical Physics at the University of Goettingen, Germany. Then he joined the Research Departement of DWD in Offenbach as a specialist for mathematical methods for atmospheric models. During the 50 years since joining DWD he witnessed weather forecasts changing from a form of art involving some guesswork to reliable forecasts entirely produced by computers. He spent long times at other institutes, for example several visits to China. Other vistits were 8 years at ECMWF (European Center for Medium range Forecasts) 1 year at NCEP (National Center or Environmental Prediction, Washington D.C.) and a Series of more than 20 visits of one month each at FSU and NCAR, Boulder. He is a faculty member of University Bonn (Germany), where he supervised a number of PhD theses on mathematical methods in atmospheric models and gave lectures both on numerical methods and about the cooperation between Universities and operational institutes. He was Editor and served as reviewer for many scientific Journals. He was project manager of DWD's model LM, which since then was renamed COSMO and ICON and still is part of the numerical forecasting system of DWD. He founded a company to produce software for the cooperation of individuals and institutes on spherical grids and cut cells.
Jinxi Li is an Associate Professor at International Center for Climate and Environment Sciences, Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences. He has 6 years' experience in developing numerical methods and dynamical framework of atmospheric models. Jinxi earned his Bachelor of Science degree in Mathematics and Applied Mathematics at Hunan Normal University in 2011. He was awarded his doctoral degree in 2016 from the University of Chinese Academy of Sciences. After graduation, he conducted a five-year postdoctoral research in IAP for the development of adaptive mesh atmospheric models collaborated with AMCG, Imperial