Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.240
IF5.240
IF 5-year value: 5.768
IF 5-year
5.768
CiteScore value: 8.9
CiteScore
8.9
SNIP value: 1.713
SNIP1.713
IPP value: 5.53
IPP5.53
SJR value: 3.18
SJR3.18
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 51
h5-index51
GMD | Articles | Volume 13, issue 4
Geosci. Model Dev., 13, 2095–2107, 2020
https://doi.org/10.5194/gmd-13-2095-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 13, 2095–2107, 2020
https://doi.org/10.5194/gmd-13-2095-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 28 Apr 2020

Development and technical paper | 28 Apr 2020

Bayesian spatio-temporal inference of trace gas emissions using an integrated nested Laplacian approximation and Gaussian Markov random fields

Luke M. Western et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Luke Western on behalf of the Authors (16 Oct 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Nov 2019) by Ignacio Pisso
RR by Anonymous Referee #2 (02 Dec 2019)
RR by Alfredo Farjat (15 Jan 2020)
ED: Publish subject to minor revisions (review by editor) (04 Feb 2020) by Ignacio Pisso
AR by Luke Western on behalf of the Authors (13 Feb 2020)  Author's response    Manuscript
ED: Publish as is (27 Mar 2020) by Ignacio Pisso
Publications Copernicus
Download
Short summary
Assessments of greenhouse gas emissions using atmospheric measurements and meteorological models, or top-down methods, are important to verify national inventories or produce a stand-alone estimate where no inventory exists. We present a novel top-down method to estimate emissions. This approach uses a fast method called an integrated nested Laplacian approximation to estimate how these emissions are correlated with other emissions in different locations and at different times.
Assessments of greenhouse gas emissions using atmospheric measurements and meteorological...
Citation