Evaluating nighttime lights and population distribution as proxies for mappinganthropogenic CO
CO2 emission
Southeast Asia
emission inventory
greenhouse Gas
gridded population
nighttime lights
uncertainty analysis
Journal
IOP conference series. Materials science and engineering
ISSN: 1757-899X
Titre abrégé: IOP Conf Ser Mater Sci Eng
Pays: England
ID NLM: 101730509
Informations de publication
Date de publication:
2019
2019
Historique:
received:
28
06
2019
revised:
19
08
2019
accepted:
21
08
2019
entrez:
7
3
2020
pubmed:
1
1
2019
medline:
1
1
2019
Statut:
ppublish
Résumé
Tracking spatiotemporal changes in GHG emissions is key to successful implementation of the United Nations Framework Convention on Climate Change (UNFCCC). And while emission inventories often provide a robust tool to track emission trends at the country level, subnational emission estimates are often not reported or reports vary in robustness as the estimates are often dependent on the spatial modeling approach and ancillary data used to disaggregate the emission inventories. Assessing the errors and uncertainties of the subnational emission estimates is fundamentally challenging due to the lack of physical measurements at the subnational level. To begin addressing the current performance of modeled gridded CO
Identifiants
pubmed: 32140180
doi: 10.1088/2515-7620/ab3d91
pii: ERC-2019-2515-7620-AB3D91
pmc: PMC7053387
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1-14Informations de copyright
© 2019 The Author(s).
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