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| Home > Publications database > Model outputs from the study 'Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?'' > print |
| 001 | 1046957 | ||
| 005 | 20251107095849.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.15812487 |2 doi |
| 037 | _ | _ | |a FZJ-2025-04025 |
| 100 | 1 | _ | |a Emmerichs, Tamara |0 P:(DE-Juel1)174161 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Model outputs from the study 'Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?'' |
| 260 | _ | _ | |c 2025 |b Zenodo |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1762505876_30967 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Chart or Table |0 26 |2 EndNote |
| 336 | 7 | _ | |a Dataset |2 DataCite |
| 336 | 7 | _ | |a DATA_SET |2 ORCID |
| 336 | 7 | _ | |a ResearchData |2 DINI |
| 520 | _ | _ | |a Over 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). |
| 536 | _ | _ | |a 2111 - Air Quality (POF4-211) |0 G:(DE-HGF)POF4-2111 |c POF4-211 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Emberson, Lisa Dianne |0 0000-0003-3463-0054 |b 1 |
| 700 | 1 | _ | |a Mao, Huiting |0 0000-0003-0067-8746 |b 2 |
| 700 | 1 | _ | |a Koren, Gerbrand |0 0000-0002-2275-0713 |b 3 |e Data Collector |
| 700 | 1 | _ | |a Mamun, Abdulla |0 0000-0002-8142-1178 |b 4 |e Data Manager |
| 700 | 1 | _ | |a Ran, Limei |0 P:(DE-HGF)0 |b 5 |e Data Collector |
| 700 | 1 | _ | |a Zhang, Leiming |0 0000-0001-5437-5412 |b 6 |
| 700 | 1 | _ | |a Huang, Min |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Gerosa, Giacomo |0 0000-0002-5352-3222 |b 8 |
| 700 | 1 | _ | |a Guaita, Pierluigi Renan |0 0000-0002-5970-8113 |b 9 |
| 700 | 1 | _ | |a Betancourt, Clara |0 P:(DE-Juel1)171435 |b 10 |
| 700 | 1 | _ | |a Wong, Anthony Y. H. |0 0000-0001-6386-3063 |b 11 |e Data Collector |
| 773 | _ | _ | |a 10.5281/ZENODO.15812487 |
| 909 | C | O | |p VDB |o oai:juser.fz-juelich.de:1046957 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)174161 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Erde und Umwelt |l Erde im Wandel – Unsere Zukunft nachhaltig gestalten |1 G:(DE-HGF)POF4-210 |0 G:(DE-HGF)POF4-211 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-200 |4 G:(DE-HGF)POF |v Die Atmosphäre im globalen Wandel |9 G:(DE-HGF)POF4-2111 |x 0 |
| 914 | 1 | _ | |y 2025 |
| 920 | 1 | _ | |0 I:(DE-Juel1)ICE-3-20101013 |k ICE-3 |l Troposphäre |x 0 |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)ICE-3-20101013 |
| 980 | _ | _ | |a UNRESTRICTED |
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