New plume comparison metrics for the inversion of passive gases emissions Article Swipe
Pierre Vanderbecken
,
Joffrey Dumont Le Brazidec
,
Alban Farchi
,
Marc Bocquet
,
Yelva Roustan
,
Élise Potier
,
Grégoire Broquet
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/amt-2022-226
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/amt-2022-226
In the next few years, numerous satellites with high-resolution instruments dedicated to the imaging of atmospheric gaseous compounds will be launched, to finely monitor emissions of greenhouse gases and pollutants. Processing the resulting images of plumes from cities and industrial plants to infer the emissions of these sources can be challenging. In particular traditional atmospheric inversion techniques, relying on objective comparisons to simulations with atmospheric chemistry transport models may poorly fit the observed plume due to modelling errors rather than due to uncertainties in the emissions. The present article discusses how these images can be properly compared to simulated concentrations to limit the weight of modelling errors due to the meteorology used to analyse the images. For such comparisons, the usual pixel-wise norm may not be a good option, because it is subject to the double penalty issue inherent to its local definition. This issue is characterised by a mutation of any position shift into significant amplitude discrepancies. To circumvent this issue, we propose to either provide an upstream correction of the position misfit between the observed and simulated plumes in the usual norm or to use a non-local metric based on the optimal transport theory, such as the Wasserstein distance. All the metrics are evaluated using first a catalogue of analytical plumes and then more realistic plumes simulated with a mesoscale Eulerian atmospheric transport model, with an emphasis on the sensitivity of the metrics to position mismatch and the concentration values within the plumes. As expected, the metrics with the upstream correction are found to be less sensitive to position errors in both analytical and realistic conditions. Furthermore, in realistic cases, we evaluate the weight of changes in the norm and the direction of the four-dimensional wind fields in our metric values. This comparison highlights the link between differences in the synoptic-scale winds direction and position error. It is found that discrepancies between two plume images due to wind direction errors in the meteorological conditions are less penalised by our new metrics with the upstream correction than without, thus avoiding the double penalty issue.
Related Topics
Concepts
Inversion (geology)
Plume
Environmental science
Greenhouse gas
Upstream (networking)
Eulerian path
Mesoscale meteorology
Meteorology
Position (finance)
Computer science
Remote sensing
Mathematics
Geology
Applied mathematics
Physics
Oceanography
Paleontology
Lagrangian
Computer network
Structural basin
Finance
Economics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/amt-2022-226
- OA Status
- gold
- Cited By
- 1
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4309434532
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4309434532Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/amt-2022-226Digital Object Identifier
- Title
-
New plume comparison metrics for the inversion of passive gases emissionsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-04Full publication date if available
- Authors
-
Pierre Vanderbecken, Joffrey Dumont Le Brazidec, Alban Farchi, Marc Bocquet, Yelva Roustan, Élise Potier, Grégoire BroquetList of authors in order
- Landing page
-
https://doi.org/10.5194/amt-2022-226Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5194/amt-2022-226Direct OA link when available
- Concepts
-
Inversion (geology), Plume, Environmental science, Greenhouse gas, Upstream (networking), Eulerian path, Mesoscale meteorology, Meteorology, Position (finance), Computer science, Remote sensing, Mathematics, Geology, Applied mathematics, Physics, Oceanography, Paleontology, Lagrangian, Computer network, Structural basin, Finance, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4309434532 |
|---|---|
| doi | https://doi.org/10.5194/amt-2022-226 |
| ids.doi | https://doi.org/10.5194/amt-2022-226 |
| ids.openalex | https://openalex.org/W4309434532 |
| fwci | 0.09828437 |
| type | preprint |
| title | New plume comparison metrics for the inversion of passive gases emissions |
| awards[0].id | https://openalex.org/G2734755451 |
| awards[0].funder_id | https://openalex.org/F4320320883 |
| awards[0].funder_award_id | ANR-19-CE01-000 |
| awards[0].funder_display_name | Agence Nationale de la Recherche |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| grants[0].funder | https://openalex.org/F4320320883 |
| grants[0].award_id | ANR-19-CE01-000 |
| grants[0].funder_display_name | Agence Nationale de la Recherche |
| topics[0].id | https://openalex.org/T11371 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9936000108718872 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2305 |
| topics[0].subfield.display_name | Environmental Engineering |
| topics[0].display_name | Wind and Air Flow Studies |
| topics[1].id | https://openalex.org/T11588 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9922999739646912 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2306 |
| topics[1].subfield.display_name | Global and Planetary Change |
| topics[1].display_name | Atmospheric and Environmental Gas Dynamics |
| topics[2].id | https://openalex.org/T10466 |
| topics[2].field.id | https://openalex.org/fields/19 |
| topics[2].field.display_name | Earth and Planetary Sciences |
| topics[2].score | 0.9811999797821045 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1902 |
| topics[2].subfield.display_name | Atmospheric Science |
| topics[2].display_name | Meteorological Phenomena and Simulations |
| funders[0].id | https://openalex.org/F4320320883 |
| funders[0].ror | https://ror.org/00rbzpz17 |
| funders[0].display_name | Agence Nationale de la Recherche |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C1893757 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6788232326507568 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q3653001 |
| concepts[0].display_name | Inversion (geology) |
| concepts[1].id | https://openalex.org/C2775840915 |
| concepts[1].level | 2 |
| concepts[1].score | 0.655318558216095 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q3817528 |
| concepts[1].display_name | Plume |
| concepts[2].id | https://openalex.org/C39432304 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5632176995277405 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[2].display_name | Environmental science |
| concepts[3].id | https://openalex.org/C47737302 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5528855919837952 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q167336 |
| concepts[3].display_name | Greenhouse gas |
| concepts[4].id | https://openalex.org/C191172861 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5090072154998779 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7899321 |
| concepts[4].display_name | Upstream (networking) |
| concepts[5].id | https://openalex.org/C43058520 |
| concepts[5].level | 3 |
| concepts[5].score | 0.5026512145996094 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q624580 |
| concepts[5].display_name | Eulerian path |
| concepts[6].id | https://openalex.org/C40382383 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4920923113822937 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q2399824 |
| concepts[6].display_name | Mesoscale meteorology |
| concepts[7].id | https://openalex.org/C153294291 |
| concepts[7].level | 1 |
| concepts[7].score | 0.47973743081092834 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q25261 |
| concepts[7].display_name | Meteorology |
| concepts[8].id | https://openalex.org/C198082294 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4336947500705719 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q3399648 |
| concepts[8].display_name | Position (finance) |
| concepts[9].id | https://openalex.org/C41008148 |
| concepts[9].level | 0 |
| concepts[9].score | 0.3678591251373291 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[9].display_name | Computer science |
| concepts[10].id | https://openalex.org/C62649853 |
| concepts[10].level | 1 |
| concepts[10].score | 0.34417498111724854 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q199687 |
| concepts[10].display_name | Remote sensing |
| concepts[11].id | https://openalex.org/C33923547 |
| concepts[11].level | 0 |
| concepts[11].score | 0.19831666350364685 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[11].display_name | Mathematics |
| concepts[12].id | https://openalex.org/C127313418 |
| concepts[12].level | 0 |
| concepts[12].score | 0.19510194659233093 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[12].display_name | Geology |
| concepts[13].id | https://openalex.org/C28826006 |
| concepts[13].level | 1 |
| concepts[13].score | 0.16365012526512146 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q33521 |
| concepts[13].display_name | Applied mathematics |
| concepts[14].id | https://openalex.org/C121332964 |
| concepts[14].level | 0 |
| concepts[14].score | 0.15999525785446167 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[14].display_name | Physics |
| concepts[15].id | https://openalex.org/C111368507 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q43518 |
| concepts[15].display_name | Oceanography |
| concepts[16].id | https://openalex.org/C151730666 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7205 |
| concepts[16].display_name | Paleontology |
| concepts[17].id | https://openalex.org/C53469067 |
| concepts[17].level | 2 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q505735 |
| concepts[17].display_name | Lagrangian |
| concepts[18].id | https://openalex.org/C31258907 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q1301371 |
| concepts[18].display_name | Computer network |
| concepts[19].id | https://openalex.org/C109007969 |
| concepts[19].level | 2 |
| concepts[19].score | 0.0 |
| concepts[19].wikidata | https://www.wikidata.org/wiki/Q749565 |
| concepts[19].display_name | Structural basin |
| concepts[20].id | https://openalex.org/C10138342 |
| concepts[20].level | 1 |
| concepts[20].score | 0.0 |
| concepts[20].wikidata | https://www.wikidata.org/wiki/Q43015 |
| concepts[20].display_name | Finance |
| concepts[21].id | https://openalex.org/C162324750 |
| concepts[21].level | 0 |
| concepts[21].score | 0.0 |
| concepts[21].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[21].display_name | Economics |
| keywords[0].id | https://openalex.org/keywords/inversion |
| keywords[0].score | 0.6788232326507568 |
| keywords[0].display_name | Inversion (geology) |
| keywords[1].id | https://openalex.org/keywords/plume |
| keywords[1].score | 0.655318558216095 |
| keywords[1].display_name | Plume |
| keywords[2].id | https://openalex.org/keywords/environmental-science |
| keywords[2].score | 0.5632176995277405 |
| keywords[2].display_name | Environmental science |
| keywords[3].id | https://openalex.org/keywords/greenhouse-gas |
| keywords[3].score | 0.5528855919837952 |
| keywords[3].display_name | Greenhouse gas |
| keywords[4].id | https://openalex.org/keywords/upstream |
| keywords[4].score | 0.5090072154998779 |
| keywords[4].display_name | Upstream (networking) |
| keywords[5].id | https://openalex.org/keywords/eulerian-path |
| keywords[5].score | 0.5026512145996094 |
| keywords[5].display_name | Eulerian path |
| keywords[6].id | https://openalex.org/keywords/mesoscale-meteorology |
| keywords[6].score | 0.4920923113822937 |
| keywords[6].display_name | Mesoscale meteorology |
| keywords[7].id | https://openalex.org/keywords/meteorology |
| keywords[7].score | 0.47973743081092834 |
| keywords[7].display_name | Meteorology |
| keywords[8].id | https://openalex.org/keywords/position |
| keywords[8].score | 0.4336947500705719 |
| keywords[8].display_name | Position (finance) |
| keywords[9].id | https://openalex.org/keywords/computer-science |
| keywords[9].score | 0.3678591251373291 |
| keywords[9].display_name | Computer science |
| keywords[10].id | https://openalex.org/keywords/remote-sensing |
| keywords[10].score | 0.34417498111724854 |
| keywords[10].display_name | Remote sensing |
| keywords[11].id | https://openalex.org/keywords/mathematics |
| keywords[11].score | 0.19831666350364685 |
| keywords[11].display_name | Mathematics |
| keywords[12].id | https://openalex.org/keywords/geology |
| keywords[12].score | 0.19510194659233093 |
| keywords[12].display_name | Geology |
| keywords[13].id | https://openalex.org/keywords/applied-mathematics |
| keywords[13].score | 0.16365012526512146 |
| keywords[13].display_name | Applied mathematics |
| keywords[14].id | https://openalex.org/keywords/physics |
| keywords[14].score | 0.15999525785446167 |
| keywords[14].display_name | Physics |
| language | en |
| locations[0].id | doi:10.5194/amt-2022-226 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.5194/amt-2022-226 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5039649133 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-9722-5182 |
| authorships[0].author.display_name | Pierre Vanderbecken |
| authorships[0].countries | FR |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210130371 |
| authorships[0].affiliations[0].raw_affiliation_string | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[0].institutions[0].id | https://openalex.org/I4210130371 |
| authorships[0].institutions[0].ror | https://ror.org/03a84yw54 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I142631665, https://openalex.org/I4210130371, https://openalex.org/I4210143116, https://openalex.org/I4210145102 |
| authorships[0].institutions[0].country_code | FR |
| authorships[0].institutions[0].display_name | Centre d'Enseignement et de Recherche en Environnement Atmosphérique |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Pierre J. Vanderbecken |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[1].author.id | https://openalex.org/A5031638920 |
| authorships[1].author.orcid | https://orcid.org/0009-0001-0896-8177 |
| authorships[1].author.display_name | Joffrey Dumont Le Brazidec |
| authorships[1].countries | FR |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210130371 |
| authorships[1].affiliations[0].raw_affiliation_string | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[1].institutions[0].id | https://openalex.org/I4210130371 |
| authorships[1].institutions[0].ror | https://ror.org/03a84yw54 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I142631665, https://openalex.org/I4210130371, https://openalex.org/I4210143116, https://openalex.org/I4210145102 |
| authorships[1].institutions[0].country_code | FR |
| authorships[1].institutions[0].display_name | Centre d'Enseignement et de Recherche en Environnement Atmosphérique |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Joffrey Dumont Le Brazidec |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[2].author.id | https://openalex.org/A5018870567 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-4162-8289 |
| authorships[2].author.display_name | Alban Farchi |
| authorships[2].countries | FR |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210130371 |
| authorships[2].affiliations[0].raw_affiliation_string | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[2].institutions[0].id | https://openalex.org/I4210130371 |
| authorships[2].institutions[0].ror | https://ror.org/03a84yw54 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I142631665, https://openalex.org/I4210130371, https://openalex.org/I4210143116, https://openalex.org/I4210145102 |
| authorships[2].institutions[0].country_code | FR |
| authorships[2].institutions[0].display_name | Centre d'Enseignement et de Recherche en Environnement Atmosphérique |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Alban Farchi |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[3].author.id | https://openalex.org/A5087494328 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-2675-0347 |
| authorships[3].author.display_name | Marc Bocquet |
| authorships[3].countries | FR |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210130371 |
| authorships[3].affiliations[0].raw_affiliation_string | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[3].institutions[0].id | https://openalex.org/I4210130371 |
| authorships[3].institutions[0].ror | https://ror.org/03a84yw54 |
| authorships[3].institutions[0].type | facility |
| authorships[3].institutions[0].lineage | https://openalex.org/I142631665, https://openalex.org/I4210130371, https://openalex.org/I4210143116, https://openalex.org/I4210145102 |
| authorships[3].institutions[0].country_code | FR |
| authorships[3].institutions[0].display_name | Centre d'Enseignement et de Recherche en Environnement Atmosphérique |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Marc Bocquet |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[4].author.id | https://openalex.org/A5033196923 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-4816-5600 |
| authorships[4].author.display_name | Yelva Roustan |
| authorships[4].countries | FR |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210130371 |
| authorships[4].affiliations[0].raw_affiliation_string | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[4].institutions[0].id | https://openalex.org/I4210130371 |
| authorships[4].institutions[0].ror | https://ror.org/03a84yw54 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I142631665, https://openalex.org/I4210130371, https://openalex.org/I4210143116, https://openalex.org/I4210145102 |
| authorships[4].institutions[0].country_code | FR |
| authorships[4].institutions[0].display_name | Centre d'Enseignement et de Recherche en Environnement Atmosphérique |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Yelva Roustan |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | CEREA, Ãcole des Ponts and EDF R&D, Ãle-de-France, France |
| authorships[5].author.id | https://openalex.org/A5088101556 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-1823-2101 |
| authorships[5].author.display_name | Élise Potier |
| authorships[5].countries | FR |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I1294671590, https://openalex.org/I195731000, https://openalex.org/I2738703131, https://openalex.org/I4210124937, https://openalex.org/I4210128565 |
| authorships[5].affiliations[0].raw_affiliation_string | Laboratoire des Sciences du Climat et de lâEnvironnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France |
| authorships[5].institutions[0].id | https://openalex.org/I4210128565 |
| authorships[5].institutions[0].ror | https://ror.org/03n15ch10 |
| authorships[5].institutions[0].type | government |
| authorships[5].institutions[0].lineage | https://openalex.org/I2738703131, https://openalex.org/I277688954, https://openalex.org/I4210128565 |
| authorships[5].institutions[0].country_code | FR |
| authorships[5].institutions[0].display_name | CEA Paris-Saclay |
| authorships[5].institutions[1].id | https://openalex.org/I1294671590 |
| authorships[5].institutions[1].ror | https://ror.org/02feahw73 |
| authorships[5].institutions[1].type | government |
| authorships[5].institutions[1].lineage | https://openalex.org/I1294671590 |
| authorships[5].institutions[1].country_code | FR |
| authorships[5].institutions[1].display_name | Centre National de la Recherche Scientifique |
| authorships[5].institutions[2].id | https://openalex.org/I2738703131 |
| authorships[5].institutions[2].ror | https://ror.org/00jjx8s55 |
| authorships[5].institutions[2].type | government |
| authorships[5].institutions[2].lineage | https://openalex.org/I2738703131 |
| authorships[5].institutions[2].country_code | FR |
| authorships[5].institutions[2].display_name | Commissariat à l'Énergie Atomique et aux Énergies Alternatives |
| authorships[5].institutions[3].id | https://openalex.org/I4210124937 |
| authorships[5].institutions[3].ror | https://ror.org/03dsd0g48 |
| authorships[5].institutions[3].type | facility |
| authorships[5].institutions[3].lineage | https://openalex.org/I1294671590, https://openalex.org/I1294671590, https://openalex.org/I195731000, https://openalex.org/I2738703131, https://openalex.org/I277688954, https://openalex.org/I4210124937, https://openalex.org/I4210148025 |
| authorships[5].institutions[3].country_code | FR |
| authorships[5].institutions[3].display_name | Laboratoire des Sciences du Climat et de l'Environnement |
| authorships[5].institutions[4].id | https://openalex.org/I195731000 |
| authorships[5].institutions[4].ror | https://ror.org/03mkjjy25 |
| authorships[5].institutions[4].type | education |
| authorships[5].institutions[4].lineage | https://openalex.org/I195731000, https://openalex.org/I277688954 |
| authorships[5].institutions[4].country_code | FR |
| authorships[5].institutions[4].display_name | Université de Versailles Saint-Quentin-en-Yvelines |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Élise Potier |
| authorships[5].is_corresponding | True |
| authorships[5].raw_affiliation_strings | Laboratoire des Sciences du Climat et de lâEnvironnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France |
| authorships[6].author.id | https://openalex.org/A5025758778 |
| authorships[6].author.orcid | https://orcid.org/0000-0001-7447-6907 |
| authorships[6].author.display_name | Grégoire Broquet |
| authorships[6].countries | FR |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I1294671590, https://openalex.org/I195731000, https://openalex.org/I2738703131, https://openalex.org/I4210124937, https://openalex.org/I4210128565 |
| authorships[6].affiliations[0].raw_affiliation_string | Laboratoire des Sciences du Climat et de lâEnvironnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France |
| authorships[6].institutions[0].id | https://openalex.org/I4210128565 |
| authorships[6].institutions[0].ror | https://ror.org/03n15ch10 |
| authorships[6].institutions[0].type | government |
| authorships[6].institutions[0].lineage | https://openalex.org/I2738703131, https://openalex.org/I277688954, https://openalex.org/I4210128565 |
| authorships[6].institutions[0].country_code | FR |
| authorships[6].institutions[0].display_name | CEA Paris-Saclay |
| authorships[6].institutions[1].id | https://openalex.org/I1294671590 |
| authorships[6].institutions[1].ror | https://ror.org/02feahw73 |
| authorships[6].institutions[1].type | government |
| authorships[6].institutions[1].lineage | https://openalex.org/I1294671590 |
| authorships[6].institutions[1].country_code | FR |
| authorships[6].institutions[1].display_name | Centre National de la Recherche Scientifique |
| authorships[6].institutions[2].id | https://openalex.org/I2738703131 |
| authorships[6].institutions[2].ror | https://ror.org/00jjx8s55 |
| authorships[6].institutions[2].type | government |
| authorships[6].institutions[2].lineage | https://openalex.org/I2738703131 |
| authorships[6].institutions[2].country_code | FR |
| authorships[6].institutions[2].display_name | Commissariat à l'Énergie Atomique et aux Énergies Alternatives |
| authorships[6].institutions[3].id | https://openalex.org/I4210124937 |
| authorships[6].institutions[3].ror | https://ror.org/03dsd0g48 |
| authorships[6].institutions[3].type | facility |
| authorships[6].institutions[3].lineage | https://openalex.org/I1294671590, https://openalex.org/I1294671590, https://openalex.org/I195731000, https://openalex.org/I2738703131, https://openalex.org/I277688954, https://openalex.org/I4210124937, https://openalex.org/I4210148025 |
| authorships[6].institutions[3].country_code | FR |
| authorships[6].institutions[3].display_name | Laboratoire des Sciences du Climat et de l'Environnement |
| authorships[6].institutions[4].id | https://openalex.org/I195731000 |
| authorships[6].institutions[4].ror | https://ror.org/03mkjjy25 |
| authorships[6].institutions[4].type | education |
| authorships[6].institutions[4].lineage | https://openalex.org/I195731000, https://openalex.org/I277688954 |
| authorships[6].institutions[4].country_code | FR |
| authorships[6].institutions[4].display_name | Université de Versailles Saint-Quentin-en-Yvelines |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Grégoire Broquet |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Laboratoire des Sciences du Climat et de lâEnvironnement, LSCE-IPSL (CEA-CNRS-UVSQ), Université Paris-Saclay, 91191 Gif-sur-Yvette, France |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5194/amt-2022-226 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | New plume comparison metrics for the inversion of passive gases emissions |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-25T14:43:58.451035 |
| primary_topic.id | https://openalex.org/T11371 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9936000108718872 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2305 |
| primary_topic.subfield.display_name | Environmental Engineering |
| primary_topic.display_name | Wind and Air Flow Studies |
| related_works | https://openalex.org/W2393698214, https://openalex.org/W2910519245, https://openalex.org/W1965225023, https://openalex.org/W3036889053, https://openalex.org/W2079713286, https://openalex.org/W2798049181, https://openalex.org/W2030032271, https://openalex.org/W4234312106, https://openalex.org/W2325081723, https://openalex.org/W4309434532 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5194/amt-2022-226 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.5194/amt-2022-226 |
| primary_location.id | doi:10.5194/amt-2022-226 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.5194/amt-2022-226 |
| publication_date | 2022-11-04 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2497234472, https://openalex.org/W2896115042, https://openalex.org/W2133847989, https://openalex.org/W1977377129, https://openalex.org/W2058881099, https://openalex.org/W2951950328, https://openalex.org/W3156120817, https://openalex.org/W2065313762, https://openalex.org/W2522105448, https://openalex.org/W2173792567, https://openalex.org/W1521624782, https://openalex.org/W2029241756, https://openalex.org/W2100754449, https://openalex.org/W4393767052, https://openalex.org/W4287245321, https://openalex.org/W2963181447, https://openalex.org/W2165906350, https://openalex.org/W2078690500, https://openalex.org/W2137639805, https://openalex.org/W2027404493, https://openalex.org/W2964510017 |
| referenced_works_count | 21 |
| abstract_inverted_index.a | 127, 149, 188, 209, 221 |
| abstract_inverted_index.As | 246 |
| abstract_inverted_index.In | 1, 52 |
| abstract_inverted_index.It | 309 |
| abstract_inverted_index.To | 159 |
| abstract_inverted_index.an | 168, 228 |
| abstract_inverted_index.as | 198 |
| abstract_inverted_index.be | 20, 50, 95, 126, 257 |
| abstract_inverted_index.by | 148, 330 |
| abstract_inverted_index.in | 84, 181, 263, 270, 279, 290, 301, 323 |
| abstract_inverted_index.is | 132, 146, 310 |
| abstract_inverted_index.it | 131 |
| abstract_inverted_index.of | 15, 26, 35, 46, 105, 151, 171, 211, 233, 277, 285 |
| abstract_inverted_index.on | 59, 192, 230 |
| abstract_inverted_index.or | 185 |
| abstract_inverted_index.to | 12, 22, 42, 62, 76, 82, 98, 101, 109, 113, 134, 140, 165, 186, 236, 256, 260, 319 |
| abstract_inverted_index.we | 163, 273 |
| abstract_inverted_index.All | 202 |
| abstract_inverted_index.For | 117 |
| abstract_inverted_index.The | 87 |
| abstract_inverted_index.and | 29, 39, 178, 214, 239, 266, 282, 306 |
| abstract_inverted_index.any | 152 |
| abstract_inverted_index.are | 205, 254, 327 |
| abstract_inverted_index.can | 49, 94 |
| abstract_inverted_index.due | 75, 81, 108, 318 |
| abstract_inverted_index.few | 4 |
| abstract_inverted_index.fit | 71 |
| abstract_inverted_index.how | 91 |
| abstract_inverted_index.its | 141 |
| abstract_inverted_index.may | 69, 124 |
| abstract_inverted_index.new | 332 |
| abstract_inverted_index.not | 125 |
| abstract_inverted_index.our | 291, 331 |
| abstract_inverted_index.the | 2, 13, 32, 44, 72, 85, 103, 110, 115, 120, 135, 172, 176, 182, 193, 199, 203, 231, 234, 240, 244, 248, 251, 275, 280, 283, 286, 297, 302, 324, 335, 342 |
| abstract_inverted_index.two | 315 |
| abstract_inverted_index.use | 187 |
| abstract_inverted_index.This | 144, 294 |
| abstract_inverted_index.both | 264 |
| abstract_inverted_index.from | 37 |
| abstract_inverted_index.good | 128 |
| abstract_inverted_index.into | 155 |
| abstract_inverted_index.less | 258, 328 |
| abstract_inverted_index.link | 298 |
| abstract_inverted_index.more | 216 |
| abstract_inverted_index.next | 3 |
| abstract_inverted_index.norm | 123, 184, 281 |
| abstract_inverted_index.such | 118, 197 |
| abstract_inverted_index.than | 80, 338 |
| abstract_inverted_index.that | 312 |
| abstract_inverted_index.then | 215 |
| abstract_inverted_index.this | 161 |
| abstract_inverted_index.thus | 340 |
| abstract_inverted_index.used | 112 |
| abstract_inverted_index.will | 19 |
| abstract_inverted_index.wind | 288, 320 |
| abstract_inverted_index.with | 8, 64, 220, 227, 250, 334 |
| abstract_inverted_index.based | 191 |
| abstract_inverted_index.first | 208 |
| abstract_inverted_index.found | 255, 311 |
| abstract_inverted_index.gases | 28 |
| abstract_inverted_index.infer | 43 |
| abstract_inverted_index.issue | 138, 145 |
| abstract_inverted_index.limit | 102 |
| abstract_inverted_index.local | 142 |
| abstract_inverted_index.plume | 74, 316 |
| abstract_inverted_index.shift | 154 |
| abstract_inverted_index.these | 47, 92 |
| abstract_inverted_index.using | 207 |
| abstract_inverted_index.usual | 121, 183 |
| abstract_inverted_index.winds | 304 |
| abstract_inverted_index.cases, | 272 |
| abstract_inverted_index.cities | 38 |
| abstract_inverted_index.double | 136, 343 |
| abstract_inverted_index.either | 166 |
| abstract_inverted_index.error. | 308 |
| abstract_inverted_index.errors | 78, 107, 262, 322 |
| abstract_inverted_index.fields | 289 |
| abstract_inverted_index.finely | 23 |
| abstract_inverted_index.images | 34, 93, 317 |
| abstract_inverted_index.issue, | 162 |
| abstract_inverted_index.issue. | 345 |
| abstract_inverted_index.metric | 190, 292 |
| abstract_inverted_index.misfit | 174 |
| abstract_inverted_index.model, | 226 |
| abstract_inverted_index.models | 68 |
| abstract_inverted_index.plants | 41 |
| abstract_inverted_index.plumes | 36, 180, 213, 218 |
| abstract_inverted_index.poorly | 70 |
| abstract_inverted_index.rather | 79 |
| abstract_inverted_index.values | 242 |
| abstract_inverted_index.weight | 104, 276 |
| abstract_inverted_index.within | 243 |
| abstract_inverted_index.years, | 5 |
| abstract_inverted_index.analyse | 114 |
| abstract_inverted_index.article | 89 |
| abstract_inverted_index.because | 130 |
| abstract_inverted_index.between | 175, 299, 314 |
| abstract_inverted_index.changes | 278 |
| abstract_inverted_index.gaseous | 17 |
| abstract_inverted_index.images. | 116 |
| abstract_inverted_index.imaging | 14 |
| abstract_inverted_index.metrics | 204, 235, 249, 333 |
| abstract_inverted_index.monitor | 24 |
| abstract_inverted_index.optimal | 194 |
| abstract_inverted_index.option, | 129 |
| abstract_inverted_index.penalty | 137, 344 |
| abstract_inverted_index.plumes. | 245 |
| abstract_inverted_index.present | 88 |
| abstract_inverted_index.propose | 164 |
| abstract_inverted_index.provide | 167 |
| abstract_inverted_index.relying | 58 |
| abstract_inverted_index.sources | 48 |
| abstract_inverted_index.subject | 133 |
| abstract_inverted_index.theory, | 196 |
| abstract_inverted_index.values. | 293 |
| abstract_inverted_index.Eulerian | 223 |
| abstract_inverted_index.avoiding | 341 |
| abstract_inverted_index.compared | 97 |
| abstract_inverted_index.emphasis | 229 |
| abstract_inverted_index.evaluate | 274 |
| abstract_inverted_index.inherent | 139 |
| abstract_inverted_index.mismatch | 238 |
| abstract_inverted_index.mutation | 150 |
| abstract_inverted_index.numerous | 6 |
| abstract_inverted_index.observed | 73, 177 |
| abstract_inverted_index.position | 153, 173, 237, 261, 307 |
| abstract_inverted_index.properly | 96 |
| abstract_inverted_index.upstream | 169, 252, 336 |
| abstract_inverted_index.without, | 339 |
| abstract_inverted_index.Abstract. | 0 |
| abstract_inverted_index.amplitude | 157 |
| abstract_inverted_index.catalogue | 210 |
| abstract_inverted_index.chemistry | 66 |
| abstract_inverted_index.compounds | 18 |
| abstract_inverted_index.dedicated | 11 |
| abstract_inverted_index.direction | 284, 305, 321 |
| abstract_inverted_index.discusses | 90 |
| abstract_inverted_index.distance. | 201 |
| abstract_inverted_index.emissions | 25, 45 |
| abstract_inverted_index.evaluated | 206 |
| abstract_inverted_index.expected, | 247 |
| abstract_inverted_index.inversion | 56 |
| abstract_inverted_index.launched, | 21 |
| abstract_inverted_index.mesoscale | 222 |
| abstract_inverted_index.modelling | 77, 106 |
| abstract_inverted_index.non-local | 189 |
| abstract_inverted_index.objective | 60 |
| abstract_inverted_index.penalised | 329 |
| abstract_inverted_index.realistic | 217, 267, 271 |
| abstract_inverted_index.resulting | 33 |
| abstract_inverted_index.sensitive | 259 |
| abstract_inverted_index.simulated | 99, 179, 219 |
| abstract_inverted_index.transport | 67, 195, 225 |
| abstract_inverted_index.Processing | 31 |
| abstract_inverted_index.analytical | 212, 265 |
| abstract_inverted_index.circumvent | 160 |
| abstract_inverted_index.comparison | 295 |
| abstract_inverted_index.conditions | 326 |
| abstract_inverted_index.correction | 170, 253, 337 |
| abstract_inverted_index.emissions. | 86 |
| abstract_inverted_index.greenhouse | 27 |
| abstract_inverted_index.highlights | 296 |
| abstract_inverted_index.industrial | 40 |
| abstract_inverted_index.particular | 53 |
| abstract_inverted_index.pixel-wise | 122 |
| abstract_inverted_index.satellites | 7 |
| abstract_inverted_index.Wasserstein | 200 |
| abstract_inverted_index.atmospheric | 16, 55, 65, 224 |
| abstract_inverted_index.comparisons | 61 |
| abstract_inverted_index.conditions. | 268 |
| abstract_inverted_index.definition. | 143 |
| abstract_inverted_index.differences | 300 |
| abstract_inverted_index.instruments | 10 |
| abstract_inverted_index.meteorology | 111 |
| abstract_inverted_index.pollutants. | 30 |
| abstract_inverted_index.sensitivity | 232 |
| abstract_inverted_index.significant | 156 |
| abstract_inverted_index.simulations | 63 |
| abstract_inverted_index.techniques, | 57 |
| abstract_inverted_index.traditional | 54 |
| abstract_inverted_index.Furthermore, | 269 |
| abstract_inverted_index.challenging. | 51 |
| abstract_inverted_index.comparisons, | 119 |
| abstract_inverted_index.characterised | 147 |
| abstract_inverted_index.concentration | 241 |
| abstract_inverted_index.discrepancies | 313 |
| abstract_inverted_index.uncertainties | 83 |
| abstract_inverted_index.concentrations | 100 |
| abstract_inverted_index.discrepancies. | 158 |
| abstract_inverted_index.meteorological | 325 |
| abstract_inverted_index.synoptic-scale | 303 |
| abstract_inverted_index.high-resolution | 9 |
| abstract_inverted_index.four-dimensional | 287 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5088101556, https://openalex.org/A5018870567, https://openalex.org/A5087494328 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I1294671590, https://openalex.org/I195731000, https://openalex.org/I2738703131, https://openalex.org/I4210124937, https://openalex.org/I4210128565, https://openalex.org/I4210130371 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/11 |
| sustainable_development_goals[0].score | 0.7300000190734863 |
| sustainable_development_goals[0].display_name | Sustainable cities and communities |
| citation_normalized_percentile.value | 0.39099626 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |