This two-day workshop focuses on the integration of stochastic and deterministic methods for understanding and modelling the Earth system. The workshop will provide hands-on training in R programming language on cross-scale analyses of Earth system data, including, but not limited to hydrometeorological (e.g., temperature and precipitation) and ecosystem processes (tree growth and terrestrial carbon dynamics). By analyzing how the variability in Earth system observations changes across scales the underlying processes can be revealed, shedding light into dominant mechanisms and critical spatiotemporal scales. The first day of the workshop focuses onstarts with the theoretical foundations of cross-scale data analyses, including selected examples from published literature. Then, Traditional traditional techniques for the exploration of multi-scale fluctuations (e.g., wavelet analysis) as well as new model-data integration approaches (scalegram) will be presented, confronting across a continuum of spatiotemporal scales observed patterns with model simulation results. Hands on training with publicly available Earth system observations will be provided. The second day is optional and is designed to guide the participants to apply the methods presented during the previous day on their data sets and to address science questions relevant to their research. Here we aim to an open-ended and conversational session, tailored to the specific needs of each researcher.

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