
About
Dr. Jochen Broecker serves as Associate Professor in Environmental Data Analysis at the University of Reading, UK, within the School of Mathematical and Physical Sciences and Department of Mathematics and Statistics. Since September 2015, he has held this position, following a Lecturer role from September 2012 to September 2015. He currently serves as Co-director of the Mathematics of Planet Earth Centre for Doctoral Training (MPECDT) and has organized significant academic events including the June 2024 Ver-AI workshop on Verification of AI-Based Meteorological Forecasts.
Dr. Broecker's research spans the critical intersection of mathematical theory and practical meteorological applications. His work bridges Analysis, Dynamical Systems, Probability Theory, and Statistics with real-world applications in Weather, Climate, and Ocean systems. He develops both rigorous mathematical methods and practical software tools for implementation. His current research focuses include Nonlinear and Infinite Dimensional Stochastic Systems, Data Assimilation, Applied Nonlinear Filtering, Statistical Learning, and the Evaluation of Weather- and Climate Forecasts, with particular emphasis on Calibration, Skill Scores and Reliability metrics.
Analysis of Dr. Broecker's recent publications reveals a consistent trajectory at the forefront of climate mathematics and forecast verification. His work demonstrates increasing focus on the signal-to-noise paradox in climate forecasting, mathematical foundations of data assimilation techniques, and rigorous verification methodologies for both traditional and AI-based forecasting systems. His research shows strong interdisciplinary connections between pure mathematics, statistics, and practical meteorological applications, with particular relevance to improving the reliability and accuracy of weather and climate predictions.
Dr. Broecker actively supervises postdoctoral researchers and graduate students, including Noeleene Mallia-Parfitt (working on validation of data assimilation algorithms), Lea Oljača (researching filtering in dissipative and hyperbolic dynamics), and Giulia Carigi (investigating ergodic properties of stochastic two-layer geophysical fluid dynamics models). His teaching responsibilities include advanced courses such as MA3PAM Probability and Measure and MA3TPA Topics in Pure and Applied Mathematics.
Beyond his academic work, Dr. Broecker maintains diverse personal interests including calligraphy, history, model airplanes, woodworking, and dinghy sailing, with his personal website featuring extensive information about OK dinghy sailing, indicating a dedicated involvement in this sailing discipline.


