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Guidelines for Studying Diverse Types of Compound Weather and Climate Events, , , , , , , , , and 10 other author(s). Earth's Future, 9 (11): e2021EF002340 (2021)e2021EF002340 2021EF002340.Testing whether linear equations are causal: A free probability theory approach, , and . CoRR, (2012)Rainfall-manipulation experiments as simulated by terrestrial biosphere models: where do we stand?, , , , , , , , , and 30 other author(s). Global Change Biology, (February 2020)The record-breaking compound hot and dry 2018 growing season in Germany, and . Weather and Climate Extremes, (2020)Quantifying soil moisture impacts on light use efficiency across biomes, , , , , and . New Phytologist, 218 (4): 1430--1449 (June 2018)Distinguishing Cause from Effect Using Observational Data: Methods and Benchmarks., , , , and . J. Mach. Learn. Res., (2016)Detection and attribution of large spatiotemporal extreme events in Earth observation data., , , and . Ecol. Informatics, (2013)Future climate risk from compound events, , , , , , , , , and 1 other author(s). Nature Climate Change, 8 (6): 469--477 (2018)Testing whether linear equations are causal: A free probability theory approach., , and . UAI, page 839-846. AUAI Press, (2011)Climate Classifications: the Value of Unsupervised Clustering., , and . ICCS, volume 9 of Procedia Computer Science, page 897-906. Elsevier, (2012)