<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Model outputs from the study "Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?""</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/PGVBVG</IDNo></titlStmt><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><distDate>2025-11-24</distDate></distStmt><verStmt source="DVN"><version date="2025-11-24" type="RELEASED">1</version></verStmt><biblCit>Emmerichs, Tamara, 2025, "Model outputs from the study "Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?""", https://doi.org/10.26165/JUELICH-DATA/PGVBVG, Jülich DATA, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Model outputs from the study "Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?""</titl><IDNo agency="DOI">doi:10.26165/JUELICH-DATA/PGVBVG</IDNo><IDNo agency="https://zenodo.org">15812487</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Max Planck Institute for Meteorology">Emmerichs, Tamara</AuthEnty><othId role="Data Curator">Emberson, Lisa Dianne</othId><othId role="Data Curator">Mao, Huiting</othId><othId role="Data Curator">Zhang, Leiming</othId><othId role="Data Curator">Huang, Min</othId><othId role="Data Curator">Gerosa, Giacomo</othId><othId role="Data Curator">Guaita, Pierluigi Renan</othId><othId role="Data Curator">Betancourt, Clara</othId><othId role="Data Collector">Koren, Gerbrand</othId><othId role="Data Collector">Ran, Limei</othId><othId role="Data Collector">Wong, Anthony Y. H.</othId><othId role="Data Manager">Mamun, Abdulla</othId></rspStmt><prodStmt/><distStmt><distrbtr source="archive">Jülich DATA</distrbtr><contact affiliation="Max Planck Institute for Meteorology" email="t.emmerichs@extern.fz-juelich.de">Emmerichs, Tamara</contact></distStmt></citation><stdyInfo><subject><keyword>Earth and Environmental Sciences</keyword></subject><abstract>&lt;p>Over the past few decades, ozone risk assessments for vegetation have evolved two methods based on stomatal O&lt;sub>3&lt;/sub> 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)&amp;nbsp; investigate stomatal O&lt;sub>3&lt;/sub> 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).&lt;/p></abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">10.5281/zenodo.15812487</IDNo></titlStmt><biblCit>Emmerichs, Tamara: Model outputs from the study "Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?", Zenodo Dataset, 2025-07-09, https://doi.org/10.5281/zenodo.15812487</biblCit></citation><ExtLink URI="https://doi.org/10.5281/zenodo.15812487"/></relPubl></othrStdyMat></stdyDscr></codeBook>