<i>HyperGas</i> 1.0: a python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification

Zhang, Xin; Maasakkers, Joannes D.; de Jong, Tobias A.; Tol, Paul; Reuland, Frances; Brandt, Adam R.; Kort, Eric A.; Adams, Taylor J.; Aben, Ilse

doi:10.5194/gmd-19-5979-2026

Articles | Volume 19, issue 13

https://doi.org/10.5194/gmd-19-5979-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-5979-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 13

Development and technical paper

|

13 Jul 2026

Development and technical paper |

| 13 Jul 2026

HyperGas 1.0: a python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification

Xin Zhang, Joannes D. Maasakkers, Tobias A. de Jong, Paul Tol, Frances Reuland, Adam R. Brandt, Eric A. Kort, Taylor J. Adams, and Ilse Aben

Data sets

Dataset for "HyperGas1.0: A Python Package for Analyzing Hyperspectral Data for Greenhouse Gases from Retrieval to Emission Rate Quantification'' Xin Zhang https://doi.org/10.5281/zenodo.18162026

Wind Dataset for "HyperGas1.0: A Python Package for Analyzing Hyperspectral Data for Greenhouse Gases from Retrieval to Emission Rate Quantification'' Xin Zhang https://doi.org/10.5281/zenodo.18166595

ERA5 Hourly Data on Single Levels from 1940 to Present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

Model code and software

HyperGas HyperGas Team https://github.com/SRON-ESG/HyperGas/

SRON-ESG/HyperGas Xin Zhang https://doi.org/10.5281/zenodo.18154956

Interactive computing environment

Zxdawn/HyperGas-GMD Xin Zhang https://doi.org/10.5281/zenodo.17854157

Short summary

Reducing emissions of greenhouse gases such as methane and carbon dioxide is essential for addressing climate change. We developed HyperGas, an open tool that uses hyperspectral satellite images to retrieve and detect greenhouse gas plumes. It helps scientists locate emission sources, estimate their strength, and examine uncertainties through an easy workflow and visual app. Our goal is to make tracking human-made emissions more accurate and accessible, supporting better climate monitoring.