Articles | Volume 9, issue 6
https://doi.org/10.5194/acp-9-2021-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-9-2021-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Modelling trends in OH radical concentrations using generalized additive models
L. S. Jackson
Environment Dept., University of York, York, YO10 5DD, UK
now at: School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
N. Carslaw
Environment Dept., University of York, York, YO10 5DD, UK
D. C. Carslaw
Institute for Transport Studies, University of Leeds, Leeds, LS2 9JT, UK
K. M. Emmerson
Environment Dept., University of York, York, YO10 5DD, UK
now at: School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Viewed
Total article views: 3,060 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 31 Jul 2008)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,428 | 1,477 | 155 | 3,060 | 96 | 79 |
- HTML: 1,428
- PDF: 1,477
- XML: 155
- Total: 3,060
- BibTeX: 96
- EndNote: 79
Total article views: 2,512 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 20 Mar 2009)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,206 | 1,161 | 145 | 2,512 | 93 | 76 |
- HTML: 1,206
- PDF: 1,161
- XML: 145
- Total: 2,512
- BibTeX: 93
- EndNote: 76
Total article views: 548 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013, article published on 31 Jul 2008)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
222 | 316 | 10 | 548 | 3 | 3 |
- HTML: 222
- PDF: 316
- XML: 10
- Total: 548
- BibTeX: 3
- EndNote: 3
Cited
20 citations as recorded by crossref.
- Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network M. Mueller et al. 10.1016/j.atmosenv.2015.11.033
- Analytical Methods of Hydroxyl Radical Produced by TiO2 Photo-catalytic Oxidation S. Kim et al. 10.9727/jmsk.2015.28.3.245
- Methane Fluxes in Cold Season: Assessment by Closed Chamber Method A. Smagin et al. 10.1134/S1064229316020125
- Forecasting Particulate Matter Concentration Using Linear and Non-Linear Approaches for Air Quality Decision Support S. Abdullah et al. 10.3390/atmos10110667
- Influence of meteorology on PM<sub>10</sub> trends and variability in Switzerland from 1991 to 2008 I. Barmpadimos et al. 10.5194/acp-11-1813-2011
- Estimating climate-induced ‘Nowhere to go’ range shifts of the Himalayan Incarvillea Juss. using multi-model median ensemble species distribution models S. Rana et al. 10.1016/j.ecolind.2020.107127
- Source emission and attribution of a large airport in Central China B. Han et al. 10.1016/j.scitotenv.2022.154519
- Global warming pushes the distribution range of the two alpine ‘glasshouse’ Rheum species north- and upwards in the Eastern Himalayas and the Hengduan Mountains S. Rana et al. 10.3389/fpls.2022.925296
- Characterizing the regional concentrations and seasonality of the emerging pollutant decamethylcyclopentasiloxane (D5) using a WRF+CHIMERE modeling approach P. Jiménez-Guerrero & N. Ratola 10.1525/elementa.2020.00137
- Trends of surface maximum ozone concentrations in Switzerland based on meteorological adjustment for the period 1990–2014 E. Boleti et al. 10.1016/j.atmosenv.2019.05.018
- Temperature dependence of tropospheric ozone under NOx reductions over Germany N. Otero et al. 10.1016/j.atmosenv.2021.118334
- Assessing distribution changes of selected native and alien invasive plant species under changing climatic conditions in Nyeri County, Kenya J. Waititu et al. 10.1371/journal.pone.0275360
- Deriving high-resolution urban air pollution maps using mobile sensor nodes D. Hasenfratz et al. 10.1016/j.pmcj.2014.11.008
- Two-week NO2 maps for the City of Zurich, Switzerland, derived by statistical modelling utilizing data from a routine passive diffusion sampler network M. Mueller et al. 10.1016/j.atmosenv.2015.01.049
- Urban airborne matter in central and southern Chile: Effects of meteorological conditions on fine and coarse particulate matter M. Yáñez et al. 10.1016/j.atmosenv.2017.05.007
- Linking Switzerland's PM<sub>10</sub> and PM<sub>2.5</sub> oxidative potential (OP) with emission sources S. Grange et al. 10.5194/acp-22-7029-2022
- Drivers controlling black carbon temporal variability in the lower troposphere of the European Arctic S. Gilardoni et al. 10.5194/acp-23-15589-2023
- Ensemble forecast of climate suitability for the Trans-Himalayan Nyctaginaceae species S. Ranjitkar et al. 10.1016/j.ecolmodel.2014.03.003
- Structures and thermochemistry of methyl ethyl sulfide and its hydroperoxides: HOOCH2SCH2CH3, CH3SCH(OOH)CH3, CH3SCH2CH2OOH, and radicals G. Song & J. Bozzelli 10.1002/poc.3751
- Assessing the value of air stagnation indices to reproduce PM10 variability in Europe J. Garrido-Perez et al. 10.1016/j.atmosres.2020.105258
19 citations as recorded by crossref.
- Statistical modelling of particle number concentration in Zurich at high spatio-temporal resolution utilizing data from a mobile sensor network M. Mueller et al. 10.1016/j.atmosenv.2015.11.033
- Analytical Methods of Hydroxyl Radical Produced by TiO2 Photo-catalytic Oxidation S. Kim et al. 10.9727/jmsk.2015.28.3.245
- Methane Fluxes in Cold Season: Assessment by Closed Chamber Method A. Smagin et al. 10.1134/S1064229316020125
- Forecasting Particulate Matter Concentration Using Linear and Non-Linear Approaches for Air Quality Decision Support S. Abdullah et al. 10.3390/atmos10110667
- Influence of meteorology on PM<sub>10</sub> trends and variability in Switzerland from 1991 to 2008 I. Barmpadimos et al. 10.5194/acp-11-1813-2011
- Estimating climate-induced ‘Nowhere to go’ range shifts of the Himalayan Incarvillea Juss. using multi-model median ensemble species distribution models S. Rana et al. 10.1016/j.ecolind.2020.107127
- Source emission and attribution of a large airport in Central China B. Han et al. 10.1016/j.scitotenv.2022.154519
- Global warming pushes the distribution range of the two alpine ‘glasshouse’ Rheum species north- and upwards in the Eastern Himalayas and the Hengduan Mountains S. Rana et al. 10.3389/fpls.2022.925296
- Characterizing the regional concentrations and seasonality of the emerging pollutant decamethylcyclopentasiloxane (D5) using a WRF+CHIMERE modeling approach P. Jiménez-Guerrero & N. Ratola 10.1525/elementa.2020.00137
- Trends of surface maximum ozone concentrations in Switzerland based on meteorological adjustment for the period 1990–2014 E. Boleti et al. 10.1016/j.atmosenv.2019.05.018
- Temperature dependence of tropospheric ozone under NOx reductions over Germany N. Otero et al. 10.1016/j.atmosenv.2021.118334
- Assessing distribution changes of selected native and alien invasive plant species under changing climatic conditions in Nyeri County, Kenya J. Waititu et al. 10.1371/journal.pone.0275360
- Deriving high-resolution urban air pollution maps using mobile sensor nodes D. Hasenfratz et al. 10.1016/j.pmcj.2014.11.008
- Two-week NO2 maps for the City of Zurich, Switzerland, derived by statistical modelling utilizing data from a routine passive diffusion sampler network M. Mueller et al. 10.1016/j.atmosenv.2015.01.049
- Urban airborne matter in central and southern Chile: Effects of meteorological conditions on fine and coarse particulate matter M. Yáñez et al. 10.1016/j.atmosenv.2017.05.007
- Linking Switzerland's PM<sub>10</sub> and PM<sub>2.5</sub> oxidative potential (OP) with emission sources S. Grange et al. 10.5194/acp-22-7029-2022
- Drivers controlling black carbon temporal variability in the lower troposphere of the European Arctic S. Gilardoni et al. 10.5194/acp-23-15589-2023
- Ensemble forecast of climate suitability for the Trans-Himalayan Nyctaginaceae species S. Ranjitkar et al. 10.1016/j.ecolmodel.2014.03.003
- Structures and thermochemistry of methyl ethyl sulfide and its hydroperoxides: HOOCH2SCH2CH3, CH3SCH(OOH)CH3, CH3SCH2CH2OOH, and radicals G. Song & J. Bozzelli 10.1002/poc.3751
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Nov 2024