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 7
Geosci. Model Dev., 13, 3439–3463, 2020
https://doi.org/10.5194/gmd-13-3439-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 13, 3439–3463, 2020
https://doi.org/10.5194/gmd-13-3439-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 31 Jul 2020

Model description paper | 31 Jul 2020

Efficient multi-scale Gaussian process regression for massive remote sensing data with satGP v0.1.2

Jouni Susiluoto 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 Jouni Susiluoto on behalf of the Authors (02 May 2020)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (03 Jun 2020) by Klaus Gierens
AR by Jouni Susiluoto on behalf of the Authors (13 Jun 2020)  Author's response    Manuscript
ED: Publish as is (18 Jun 2020) by Klaus Gierens
Publications Copernicus
Download
Short summary
We describe a new computer program that is able produce maps of carbon dioxide or other quantities based on data collected by satellites that orbit the Earth. When working with such data there is often too much data in one area and none in another. The program is able to describe the fields even when data is not available. To be able to do so, new computational methods were developed. The program is also able to describe how uncertain the estimated carbon dioxide or other fields are.
We describe a new computer program that is able produce maps of carbon dioxide or other...
Citation