Mesoscale inversion: first results from the CERES campaign with synthetic data
We investigate the ability of a mesoscale model to reconstruct CO<sub>2</sub> fluxes at regional scale. Formally, we estimate the reduction of error for a CO<sub>2</sub> flux inversion at 8 km resolution in the South West of France, during four...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2008-07-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | http://www.atmos-chem-phys.net/8/3459/2008/acp-8-3459-2008.pdf |
| _version_ | 1818678138308132864 |
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| author | T. Lauvaux M. Uliasz C. Sarrat F. Chevallier P. Bousquet C. Lac K. J. Davis P. Ciais A. S. Denning P. J. Rayner |
| author_facet | T. Lauvaux M. Uliasz C. Sarrat F. Chevallier P. Bousquet C. Lac K. J. Davis P. Ciais A. S. Denning P. J. Rayner |
| author_sort | T. Lauvaux |
| collection | DOAJ |
| description | We investigate the ability of a mesoscale model to reconstruct CO<sub>2</sub> fluxes at regional scale. Formally, we estimate the reduction of error for a CO<sub>2</sub> flux inversion at 8 km resolution in the South West of France, during four days of the CarboEurope Regional Experiment Strategy (CERES) in spring 2005. Measurements from two towers and two airplanes are available for this campaign. The lagrangian particle dispersion model LPDM was coupled to the non-hydrostatic model Meso-NH and integrated in a matrix inversion framework. Impacts of aircraft and tower measurements are quantified separately and together. We find that the configuration with both towers and aircraft is able to significantly reduce uncertainties on the 4-day averaged CO<sub>2</sub> fluxes over about half of the 300&times;300 km<sup>2</sup> domain. Most of this reduction comes from the tower measurements, even though the impact of aircraft measurements remains noticeable. Imperfect knowledge of boundary conditions does not significantly impact the error reduction for surface fluxes. We test alternative strategies to improve the impact of aircraft measurements and find that most information comes from measurements inside the boundary layer. We find that there would be a large improvement in error reduction if we could improve our ability to model nocturnal concentrations at tower sites. |
| first_indexed | 2024-12-17T09:10:30Z |
| format | Article |
| id | doaj.art-f858e6b01bf44d64b79137bbdd1fee2a |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-17T09:10:30Z |
| publishDate | 2008-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-f858e6b01bf44d64b79137bbdd1fee2a2022-12-21T21:55:14ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242008-07-0181334593471Mesoscale inversion: first results from the CERES campaign with synthetic dataT. LauvauxM. UliaszC. SarratF. ChevallierP. BousquetC. LacK. J. DavisP. CiaisA. S. DenningP. J. RaynerWe investigate the ability of a mesoscale model to reconstruct CO<sub>2</sub> fluxes at regional scale. Formally, we estimate the reduction of error for a CO<sub>2</sub> flux inversion at 8 km resolution in the South West of France, during four days of the CarboEurope Regional Experiment Strategy (CERES) in spring 2005. Measurements from two towers and two airplanes are available for this campaign. The lagrangian particle dispersion model LPDM was coupled to the non-hydrostatic model Meso-NH and integrated in a matrix inversion framework. Impacts of aircraft and tower measurements are quantified separately and together. We find that the configuration with both towers and aircraft is able to significantly reduce uncertainties on the 4-day averaged CO<sub>2</sub> fluxes over about half of the 300&times;300 km<sup>2</sup> domain. Most of this reduction comes from the tower measurements, even though the impact of aircraft measurements remains noticeable. Imperfect knowledge of boundary conditions does not significantly impact the error reduction for surface fluxes. We test alternative strategies to improve the impact of aircraft measurements and find that most information comes from measurements inside the boundary layer. We find that there would be a large improvement in error reduction if we could improve our ability to model nocturnal concentrations at tower sites.http://www.atmos-chem-phys.net/8/3459/2008/acp-8-3459-2008.pdf |
| spellingShingle | T. Lauvaux M. Uliasz C. Sarrat F. Chevallier P. Bousquet C. Lac K. J. Davis P. Ciais A. S. Denning P. J. Rayner Mesoscale inversion: first results from the CERES campaign with synthetic data Atmospheric Chemistry and Physics |
| title | Mesoscale inversion: first results from the CERES campaign with synthetic data |
| title_full | Mesoscale inversion: first results from the CERES campaign with synthetic data |
| title_fullStr | Mesoscale inversion: first results from the CERES campaign with synthetic data |
| title_full_unstemmed | Mesoscale inversion: first results from the CERES campaign with synthetic data |
| title_short | Mesoscale inversion: first results from the CERES campaign with synthetic data |
| title_sort | mesoscale inversion first results from the ceres campaign with synthetic data |
| url | http://www.atmos-chem-phys.net/8/3459/2008/acp-8-3459-2008.pdf |
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