Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE<span style="position:relative; bottom:0.5em; " class="text">™</span> laser imaging experiment
<p>In 2015, the Greenhouse gas Laser Imaging Tomography Experiment (GreenLITE<sup>™</sup>) measurement system was deployed for a long-duration experiment in the center of Paris, France. The system measures near-surface atmospheric <span class="inline-formula">CO<...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-11-01
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| Series: | Atmospheric Chemistry and Physics |
| Online Access: | https://www.atmos-chem-phys.net/19/13809/2019/acp-19-13809-2019.pdf |
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| author | J. Lian F.-M. Bréon G. Broquet T. S. Zaccheo J. Dobler J. Dobler M. Ramonet J. Staufer J. Staufer D. Santaren I. Xueref-Remy I. Xueref-Remy P. Ciais |
| author_facet | J. Lian F.-M. Bréon G. Broquet T. S. Zaccheo J. Dobler J. Dobler M. Ramonet J. Staufer J. Staufer D. Santaren I. Xueref-Remy I. Xueref-Remy P. Ciais |
| author_sort | J. Lian |
| collection | DOAJ |
| description | <p>In 2015, the Greenhouse gas Laser Imaging Tomography Experiment (GreenLITE<sup>™</sup>) measurement system was deployed for a long-duration experiment in the center of Paris, France. The system measures near-surface atmospheric <span class="inline-formula">CO<sub>2</sub></span> concentrations integrated along 30 horizontal chords ranging in length from 2.3 to 5.2 km and covering an area of 25 km<span class="inline-formula"><sup>2</sup></span> over the complex urban environment. In this study, we use this observing system together with six conventional in situ point measurements and the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and two urban canopy schemes (Urban Canopy Model – UCM; Building Effect Parameterization – BEP) at a horizontal resolution of 1 km to analyze the temporal and spatial variations in <span class="inline-formula">CO<sub>2</sub></span> concentrations within the city of Paris and its vicinity for the 1-year period spanning December 2015 to November 2016. Such an analysis aims at supporting the development of <span class="inline-formula">CO<sub>2</sub></span> atmospheric inversion systems at the city scale. Results show that both urban canopy schemes in the WRF-Chem model are capable of reproducing the seasonal cycle and most of the synoptic variations in the atmospheric <span class="inline-formula">CO<sub>2</sub></span> point measurements over the suburban areas as well as the general corresponding spatial differences in <span class="inline-formula">CO<sub>2</sub></span> concentration that span the urban area. However, within the city, there are larger discrepancies between the observations and the model results with very distinct features during winter and summer. During winter, the GreenLITE<sup>™</sup> measurements clearly
demonstrate that one urban canopy scheme (BEP) provides a much better
description of temporal variations and horizontal differences in <span class="inline-formula">CO<sub>2</sub></span> concentrations than the other (UCM) does. During summer, much larger <span class="inline-formula">CO<sub>2</sub></span> horizontal differences are indicated by the
GreenLITE<sup>™</sup> system than both the in situ measurements and the model results, with systematic east–west variations.</p> |
| first_indexed | 2024-12-12T15:28:03Z |
| format | Article |
| id | doaj.art-96a876513f9742e2ac1ac5c9ad7529a5 |
| institution | Directory Open Access Journal |
| issn | 1680-7316 1680-7324 |
| language | English |
| last_indexed | 2024-12-12T15:28:03Z |
| publishDate | 2019-11-01 |
| publisher | Copernicus Publications |
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| series | Atmospheric Chemistry and Physics |
| spelling | doaj.art-96a876513f9742e2ac1ac5c9ad7529a52022-12-22T00:20:12ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242019-11-0119138091382510.5194/acp-19-13809-2019Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE<span style="position:relative; bottom:0.5em; " class="text">™</span> laser imaging experimentJ. Lian0F.-M. Bréon1G. Broquet2T. S. Zaccheo3J. Dobler4J. Dobler5M. Ramonet6J. Staufer7J. Staufer8D. Santaren9I. Xueref-Remy10I. Xueref-Remy11P. Ciais12Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, FranceAtmospheric and Environmental Research, Inc., Lexington, Massachusetts, USASpectral Sensor Solutions LLC, Fort Wayne, Indiana, USAformerly at: Harris Corporation, Fort Wayne, Indiana, USALaboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, FranceThales, Labège, Franceformerly at: Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, FranceInstitut Méditerranéen de Biodiversité et d'Ecologie marine et continentale (IMBE), Aix Marseille Université, CNRS, IRD, Avignon Université, Aix-en-Provence, Franceformerly at: Laboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, FranceLaboratoire des Sciences du Climat et de l'Environnement (LSCE), IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France<p>In 2015, the Greenhouse gas Laser Imaging Tomography Experiment (GreenLITE<sup>™</sup>) measurement system was deployed for a long-duration experiment in the center of Paris, France. The system measures near-surface atmospheric <span class="inline-formula">CO<sub>2</sub></span> concentrations integrated along 30 horizontal chords ranging in length from 2.3 to 5.2 km and covering an area of 25 km<span class="inline-formula"><sup>2</sup></span> over the complex urban environment. In this study, we use this observing system together with six conventional in situ point measurements and the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and two urban canopy schemes (Urban Canopy Model – UCM; Building Effect Parameterization – BEP) at a horizontal resolution of 1 km to analyze the temporal and spatial variations in <span class="inline-formula">CO<sub>2</sub></span> concentrations within the city of Paris and its vicinity for the 1-year period spanning December 2015 to November 2016. Such an analysis aims at supporting the development of <span class="inline-formula">CO<sub>2</sub></span> atmospheric inversion systems at the city scale. Results show that both urban canopy schemes in the WRF-Chem model are capable of reproducing the seasonal cycle and most of the synoptic variations in the atmospheric <span class="inline-formula">CO<sub>2</sub></span> point measurements over the suburban areas as well as the general corresponding spatial differences in <span class="inline-formula">CO<sub>2</sub></span> concentration that span the urban area. However, within the city, there are larger discrepancies between the observations and the model results with very distinct features during winter and summer. During winter, the GreenLITE<sup>™</sup> measurements clearly demonstrate that one urban canopy scheme (BEP) provides a much better description of temporal variations and horizontal differences in <span class="inline-formula">CO<sub>2</sub></span> concentrations than the other (UCM) does. During summer, much larger <span class="inline-formula">CO<sub>2</sub></span> horizontal differences are indicated by the GreenLITE<sup>™</sup> system than both the in situ measurements and the model results, with systematic east–west variations.</p>https://www.atmos-chem-phys.net/19/13809/2019/acp-19-13809-2019.pdf |
| spellingShingle | J. Lian F.-M. Bréon G. Broquet T. S. Zaccheo J. Dobler J. Dobler M. Ramonet J. Staufer J. Staufer D. Santaren I. Xueref-Remy I. Xueref-Remy P. Ciais Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE<span style="position:relative; bottom:0.5em; " class="text">™</span> laser imaging experiment Atmospheric Chemistry and Physics |
| title | Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE<span style="position:relative; bottom:0.5em; " class="text">™</span> laser imaging experiment |
| title_full | Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE<span style="position:relative; bottom:0.5em; " class="text">™</span> laser imaging experiment |
| title_fullStr | Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE<span style="position:relative; bottom:0.5em; " class="text">™</span> laser imaging experiment |
| title_full_unstemmed | Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE<span style="position:relative; bottom:0.5em; " class="text">™</span> laser imaging experiment |
| title_short | Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE<span style="position:relative; bottom:0.5em; " class="text">™</span> laser imaging experiment |
| title_sort | analysis of temporal and spatial variability of atmospheric co sub 2 sub concentration within paris from the greenlite span style position relative bottom 0 5em class text ™ span laser imaging experiment |
| url | https://www.atmos-chem-phys.net/19/13809/2019/acp-19-13809-2019.pdf |
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