Assessing Lagrangian inverse modelling of urban anthropogenic CO
Journal
Carbon balance and management
ISSN: 1750-0680
Titre abrégé: Carbon Balance Manag
Pays: England
ID NLM: 101271519
Informations de publication
Date de publication:
17 May 2019
17 May 2019
Historique:
received:
25
10
2018
accepted:
15
04
2019
entrez:
19
5
2019
pubmed:
19
5
2019
medline:
19
5
2019
Statut:
epublish
Résumé
In order to use in situ measurements to constrain urban anthropogenic emissions of carbon dioxide (CO We produce gridded estimates of the CO Optimized fluxes were consistent with other estimates for the unperturbed simulations. Inclusion of CONTRAIL measurements resulted in significant differences in the magnitude of the retrieved fluxes, 13% on average for the whole domain and of up to 21% for the spatiotemporal cells with the highest fluxes. Changes in the background yielded differences in the retrieved fluxes of up to 50% and more. Simulated biases in the modelled transport cause differences in the retrieved fluxes of up to 30% similar to those obtained using different meteorological winds to advect the Lagrangian trajectories. Perturbations to the prior inventory can impact the fluxes by ~ 10% or more depending on the assumptions on the error covariances. All of these factors can cause significant differences in the estimated flux, and highlight the challenges in estimating regional CO
Sections du résumé
BACKGROUND
BACKGROUND
In order to use in situ measurements to constrain urban anthropogenic emissions of carbon dioxide (CO
RESULTS
RESULTS
We produce gridded estimates of the CO
CONCLUSIONS
CONCLUSIONS
Optimized fluxes were consistent with other estimates for the unperturbed simulations. Inclusion of CONTRAIL measurements resulted in significant differences in the magnitude of the retrieved fluxes, 13% on average for the whole domain and of up to 21% for the spatiotemporal cells with the highest fluxes. Changes in the background yielded differences in the retrieved fluxes of up to 50% and more. Simulated biases in the modelled transport cause differences in the retrieved fluxes of up to 30% similar to those obtained using different meteorological winds to advect the Lagrangian trajectories. Perturbations to the prior inventory can impact the fluxes by ~ 10% or more depending on the assumptions on the error covariances. All of these factors can cause significant differences in the estimated flux, and highlight the challenges in estimating regional CO
Identifiants
pubmed: 31101995
doi: 10.1186/s13021-019-0118-8
pii: 10.1186/s13021-019-0118-8
pmc: PMC7227294
doi:
Types de publication
Journal Article
Langues
eng
Pagination
6Subventions
Organisme : Japan Agency for Marine-Earth Science and Technology
ID : Postdoctoral researcher
Organisme : Nordforsk
ID : 57001
Organisme : NFR
ID : URGE-SIS
Références
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pubmed: 22611187
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pubmed: 29967154
Earth Syst Sci Data. 2018;10(1):87-107
pubmed: 31662803