| dc.contributor.author | Bei, Naifang | |
| dc.contributor.author | Lei, Wenfang | |
| dc.contributor.author | Zavala, M. | |
| dc.contributor.author | Molina, Luisa Tan | |
| dc.date.accessioned | 2011-08-12T20:09:56Z | |
| dc.date.available | 2011-08-12T20:09:56Z | |
| dc.date.issued | 2010-07 | |
| dc.date.submitted | 2010-06 | |
| dc.identifier.issn | 1680-7324 | |
| dc.identifier.issn | 1680-7316 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/65129 | |
| dc.description.abstract | The purpose of the present study is to investigate the sensitivity of ozone (O3)[(O subscript 3)] predictions in the Mexico City Metropolitan Area (MCMA) to meteorological initial uncertainties and planetary boundary layer (PBL) parameterization schemes using state-of-the-art meteorological and photochemical prediction models through ensemble forecasts. The simulated periods (3, 9, 15 and 29 March 2006) represent four typical meteorological episodes ("South-Venting", "O3-North" ["O subscript 3 - North"], "O3-South" ["O subscript 3 - South"]and "Convection-North", respectively) in the Mexico City basin during the MCMA-2006/MILAGRO campaign. Our results demonstrate that the uncertainties in meteorological initial conditions have significant impacts on O3 [O subscript 3] predictions, including peak time O3 [O subscript 3] concentrations ([O3] [O subscript 3]), horizontal and vertical O3 [O subscript 3] distributions, and temporal variations. The ensemble spread of the simulated peak [O3 [O subscript 3]] averaged over the city's ambient monitoring sites can reach up to 10 ppb. The increasing uncertainties in meteorological fields during peak O3 [O subscript 3] period contribute to the largest unpredictability in O3 [O subscript 3] simulations, while the impacts of wind speeds and PBL height on [O3 [O subscript 3]] are more straightforward and important. The magnitude of the ensemble spreads varies with different PBL schemes and meteorological episodes. The uncertainties in O3 [O subscript 3] predictions caused by PBL schemes mainly come from their ability to represent the mixing layer height; but overall, these uncertainties are smaller than those from the uncertainties in meteorological initial conditions. | en_US |
| dc.description.sponsorship | National Science Foundation (U.S.) (ATM-0810931) | en_US |
| dc.description.sponsorship | Molina Center for Energy and the Environment | en_US |
| dc.description.sponsorship | National Center for Atmospheric Research (U.S.) | en_US |
| dc.language.iso | en_US | |
| dc.publisher | European Geosciences Union / Copernicus | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.5194/acp-10-6295-2010 | en_US |
| dc.rights | Creative Commons Attribution 3.0 | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0 | en_US |
| dc.source | Copernicus | en_US |
| dc.title | Ozone predictabilities due to meteorological uncertainties in the Mexico City basin using ensemble forecasts | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Bei, N. et al. “Ozone Predictabilities Due to Meteorological Uncertainties in the Mexico City Basin Using Ensemble Forecasts.” Atmospheric Chemistry and Physics 10.13 (2010) : 6295-6309. © Author(s) 2010 | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences | en_US |
| dc.contributor.approver | Molina, Luisa Tan | |
| dc.contributor.mitauthor | Molina, Luisa Tan | |
| dc.contributor.mitauthor | Bei, Naifang | |
| dc.contributor.mitauthor | Lei, Wenfang | |
| dc.relation.journal | Atmospheric Chemistry and Physics | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.orderedauthors | Bei, N.; Lei, W.; Zavala, M.; Molina, L. T. | en |
| dc.identifier.orcid | https://orcid.org/0000-0002-3596-5334 | |
| mit.license | PUBLISHER_CC | en_US |
| mit.metadata.status | Complete | |