001046957 001__ 1046957
001046957 005__ 20251107095849.0
001046957 0247_ $$2doi$$a10.5281/ZENODO.15812487
001046957 037__ $$aFZJ-2025-04025
001046957 1001_ $$0P:(DE-Juel1)174161$$aEmmerichs, Tamara$$b0$$eCorresponding author
001046957 245__ $$aModel outputs from the study 'Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?''
001046957 260__ $$bZenodo$$c2025
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001046957 520__ $$aOver the past few decades, ozone risk assessments for vegetation have evolved two methods based on stomatal O3 flux. However, substantial uncertainties remain in accurately simulating these fluxes. In the study by Emmerichs et al. ('Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?', Biogeosciences 2025)  investigate stomatal O3 fluxes across various land cover types worldwide simulated by six established deposition models. This dataset contains the main model output from WebDO3SE (csv data per station) and simulated sunlit and total stomatal conductance from the TEMIR, ZHANG, CMAQ and MESSy models (xlsx data file).
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001046957 7001_ $$00000-0003-3463-0054$$aEmberson, Lisa Dianne$$b1
001046957 7001_ $$00000-0003-0067-8746$$aMao, Huiting$$b2
001046957 7001_ $$00000-0002-2275-0713$$aKoren, Gerbrand$$b3$$eData Collector
001046957 7001_ $$00000-0002-8142-1178$$aMamun, Abdulla$$b4$$eData Manager
001046957 7001_ $$0P:(DE-HGF)0$$aRan, Limei$$b5$$eData Collector
001046957 7001_ $$00000-0001-5437-5412$$aZhang, Leiming$$b6
001046957 7001_ $$0P:(DE-HGF)0$$aHuang, Min$$b7
001046957 7001_ $$00000-0002-5352-3222$$aGerosa, Giacomo$$b8
001046957 7001_ $$00000-0002-5970-8113$$aGuaita, Pierluigi Renan$$b9
001046957 7001_ $$0P:(DE-Juel1)171435$$aBetancourt, Clara$$b10
001046957 7001_ $$00000-0001-6386-3063$$aWong, Anthony Y. H.$$b11$$eData Collector
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001046957 9141_ $$y2025
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