The Land-Atmosphere Feedback Initiative
- 1University of Hohenheim, Institute of Physics and Meteorology, Institute of Physics and Meteorology, Stuttgart, Germany (volker.wulfmeyer@uni-hohenheim.de)
- *A full list of authors appears at the end of the abstract
The quality of weather forecasts, seasonal simulations, and climate projections depends critically on the adequate representation of land-atmosphere (L-A) feedbacks. These feedbacks are the result of a highly complex network of processes and variables related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks, which this initiative will address.
The Land-Atmosphere Feedback Initiative (LAFI) is an interdisciplinary consortium of researchers from atmospheric, agricultural, and soil sciences as well as from bio-geophysics, hydrology, and neuroinformatics proposing a novel combination of advanced research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km) scales across diurnal to seasonal time scales.
LAFI consists of a network of closely intertwined projects addressing six research challenges formulated as objectives and hypotheses on 1) alternative similarity theories, 2) the impact of land-surface heterogeneity, 3) partitioning evapotranspiration, 4) understanding entrainment, 5) synergistic characterization of L-A feedback, and 6) droughts or heatwaves potentially investigated by ad-hoc field observations. Collaboration across the twelve projects will be fostered by three Cross Cutting Working Groups on Deep Learning, Sensor Synergy and Upscaling, as well as the LAFI Multi-model Experiment.
In this presentation, an overview of the LAFI research approach is given with particularly emphasis of the synergy of observations and modeling efforts substantiated by first results from the Land-Atmosphere Feedback Observatory (LAFO) at the University of Hohenheim in Stuttgart, Germany.
Frank Beyrich, German Meteorological Service (DWD), MOL-RAO, Lindenberg, Germany Marcus Breil, Independent Research Group on L-A Feedback, Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany Martin V. Butz, Neuro-Cognitive Modeling and Machine Learning, University of Tübingen, Germany Thomas Jagdhuber, Institute of Geography, University of Augsburg; Microwaves and Radar Institute, German Aerospace Center (DLR), Germany Angelika Kübert, Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF), Müncheberg, Germany Harald Kunstmann, Institute of Meteorology and Climate Research (IMK-IFU), KIT Campus Alpin, Garmisch-Partenkirchen, Germany Matthias Mauder, Technical University of Dresden, Germany Natalie Orlowski, Technical University of Dresden, Germany Julia Pongratz, Department of Geography, Ludwig Maximilians University of Munich (LMU), Germany Verena Rajtschan, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany Stan Schymanski, Luxembourg Institute of Science and Technology (LIST), Luxembourg Thilo Streck, Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany Christoph Thomas, Micrometeorology, University of Bayreuth, Germany Kirsten Warrach-Sagi, Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany
How to cite: Wulfmeyer, V. and the The LAFI Team: The Land-Atmosphere Feedback Initiative, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10102, https://doi.org/10.5194/egusphere-egu24-10102, 2024.
