Dr. Meriem-Krouma-Ensemble weather forecast -Best Researcher Award
Uppsala University-Sweden
Author Profile
Early Academic Pursuits
Dr. Meriem Krouma embarked on her academic journey with a strong foundation in Biology and Geology during her undergraduate studies at the Higher Institute of Preparatory Studies in Biology and Geology of Soukra, Tunis, Tunisia, from 2012 to 2014. She then pursued an Engineering cycle in rural engineering, water, and forests at the Tunisian Agronomic Institute, where she honed her skills in environmental sciences and engineering from 2014 to 2017. Meriem furthered her education with a research master's degree in Sustainable Management of Water Resources at the same institute from 2017 to 2019, deepening her understanding of water systems and sustainability principles. Her academic journey culminated in a Ph.D. in Statistical Climatology from the Laboratory for Sciences of Climate and Environment at Paris Saclay University, France, where she focused on improving ensemble weather forecasts using statistical approaches from 2019 to 2023.
Professional Endeavors
Dr. Meriem Krouma's professional career reflects her dedication to environmental research and climate science. She commenced her postdoctoral research journey at the Department of Earth Sciences, Uppsala University, Sweden, in December 2023, where she is currently engaged in investigating the predictability of compound climate extremes within the ERC CENAE project. Prior to this, she served as a Climate Studies Engineer at SUEZ AIR SOLUTIONS FRANCE DE SUEZ - ARIA TECHNOLOGIES, Nanterre, France, from October 2023, contributing to research and development projects related to climate change and weather forecast. Meriem also collaborated with the United Nations Development Programme (UNDP) on a project aimed at developing climate change scenarios for Eswatini, showcasing her commitment to addressing global environmental challenges through practical initiatives.
Contributions and Research Focus
Dr. Meriem Krouma's research focuses on enhancing the predictability of extreme events and weather forecasts, with a particular emphasis on subseasonal lead times. Her doctoral thesis, "Ensemble weather forecast with a stochastic weather generator and analogs of the atmospheric circulation," exemplifies her innovative approach to combining statistical techniques with dynamical models to improve precipitation forecasts. She has contributed to several publications and preprints that explore various aspects of weather prediction and climate dynamics, demonstrating her expertise in the field of statistical climatology.
Accolades and Recognition
Throughout her academic and professional journey, Dr. Meriem Krouma has garnered recognition for her exemplary work in environmental science and engineering. Her research contributions have been published in reputable journals such as the Quarterly Journal of the Royal Meteorological Society, Earth System Dynamics, and Geoscientific Model Development. These publications underscore her significance as a rising researcher in the field of climatology and weather forecasting.
Impact and Influence
Dr. Meriem Krouma's work has the potential to significantly impact the field of climate science and weather prediction by advancing our understanding of extreme events and improving forecast accuracy. By developing innovative methodologies to enhance the predictability of weather phenomena, she contributes to more effective climate adaptation and mitigation strategies. Her research findings hold implications for various stakeholders, including policymakers, environmental agencies, and communities vulnerable to extreme weather events.
The Ensemble Weather Forecast Award recognizes individuals or teams who demonstrate excellence in utilizing ensemble forecasting techniques to enhance the accuracy and reliability of weather predictions.
Legacy and Future Contributions
As Dr. Meriem Krouma continues to pursue her academic and professional endeavors, her legacy lies in her dedication to advancing scientific knowledge and addressing pressing environmental challenges. Her interdisciplinary approach to research, combining expertise in statistics, climatology, and engineering, positions her as a valuable asset in the field of environmental science. Moving forward, she aims to further her contributions to climate research, with a focus on developing practical solutions to mitigate the impacts of climate change and improve weather forecasting capabilities.
Recipients of this award have showcased exceptional skill in harnessing ensemble models to provide more robust and insightful weather forecasts, contributing significantly to the advancement of meteorological science and the improvement of weather prediction capabilities
Notable Publication
- Ensemble forecast of an index of the Madden-Julian Oscillation using a stochastic weather generator based on circulation analogs
- A climate-change attribution retrospective of some impactful weather extremes of 2021
- Assessment of stochastic weather forecast of precipitation near European cities, based on analogs of circulation
- Improving subseasonal forecast of precipitation in Europe by combining a stochastic weather generator with dynamical models
- Assessment of the predictability of cold-wet-windy Pan Atlantic compound extremes