Details:

Journal Title:
Elementa
Personal Author:
Oda, Tomohiro ; Lauvaux, Thomas ; Lu, Dengsheng ; Rao, Preeti ; Miles, Natasha L. ; ... More +
Oda, Tomohiro ; Lauvaux, Thomas ; Lu, Dengsheng ; Rao, Preeti ; Miles, Natasha L. ; Richardson, Scott J. ; Gurney, Kevin R. Less -
NOAA Program & Office:
OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office)
OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) Less -
Description:
Quantifying greenhouse gas (GHG) emissions from cities is a key challenge towards effective emissions management. An inversion analysis from the INdianapolis FLUX experiment (INFLUX) project, as the first of its kind, has achieved a top-down emission estimate for a single city using CO2 data collected by the dense tower network deployed across the city. However, city-level emission data, used as a priori emissions, are also a key component in the atmospheric inversion framework. Currently, fine-grained emission inventories (EIs) able to resolve GHG city emissions at high spatial resolution, are only available for few major cities across the globe. Following the INFLUX inversion case with a global 1×1 km ODIAC fossil fuel CO2 emission dataset, we further improved the ODIAC emission field and examined its utility as a prior for the city scale inversion. We disaggregated the 1×1 km ODIAC non-point source emissions using geospatial datasets such as the global road network data and satellite-data driven surface imperviousness data to a 30×30 m resolution. We assessed the impact of the improved emission field on the inversion result, relative to priors in previous studies (Hestia and ODIAC). The posterior total emission estimate (5.1 MtC/yr) remains statistically similar to the previous estimate with ODIAC (5.3 MtC/yr). However, the distribution of the flux corrections was very close to those of Hestia inversion and the model-observation mismatches were significantly reduced both in forward and inverse runs, even without hourly temporal changes in emissions. EIs reported by cities often do not have estimates of spatial extents. Thus, emission disaggregation is a required step when verifying those reported emissions using atmospheric models. Our approach offers gridded emission estimates for global cities that could serves as a prior for inversion, even without locally reported EIs in a systematic way to support city-level Measuring, Reporting and Verification (MRV) practice implementation.
Keywords:
[+]
Emissions
Source:
Elementa (Wash D C). 2017; 5: 28.
DOI:
https://dx.doi.org/10.1525/elementa.146
Pubmed ID:
32851103
Pubmed Central ID:
PMC7447070
Document Type:
Journal Article
Funding:
Grant no. NA13OAR4310076
Place as Subject:
Indiana
Rights Information:
CC BY
Compliance:
PMC
Main Document Checksum:
[+]
urn:sha256:f05185001e14d77213d522919d0409772906ad3541cfb90db69774960334f1bb
Download URL:
https://repository.library.noaa.gov/view/noaa/27723/noaa_27723_DS1.pdf
File Type:

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