15 citations as recorded by crossref.

1. The use of the 1.27 µm O<sub>2</sub> absorption band for greenhouse gas monitoring from space and application to MicroCarb J. Bertaux et al. 10.5194/amt-13-3329-2020
2. Overview: Estimating and reporting uncertainties in remotely sensed atmospheric composition and temperature T. von Clarmann et al. 10.5194/amt-13-4393-2020
3. Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
4. The MUSICA IASI CH<sub>4</sub> and N<sub>2</sub>O products and their comparison to HIPPO, GAW and NDACC FTIR references O. García et al. 10.5194/amt-11-4171-2018
5. FTIR Measurements of Greenhouse Gases over Thessaloniki, Greece in the Framework of COCCON and Comparison with S5P/TROPOMI Observations M. Mermigkas et al. 10.3390/rs13173395
6. Evaluation of single-footprint AIRS CH<sub>4</sub> profile retrieval uncertainties using aircraft profile measurements S. Kulawik et al. 10.5194/amt-14-335-2021
7. Methane Retrieval from Hyperspectral Infrared Atmospheric Sounder on FY3D X. Zhang et al. 10.3390/rs16081414
8. Instrumental characteristics and potential greenhouse gas measurement capabilities of the Compact High-Spectral-Resolution Infrared Spectrometer: CHRIS M. El Kattar et al. 10.5194/amt-13-3769-2020
9. Quantification of CH<sub>4</sub> emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI Q. Tu et al. 10.5194/acp-22-295-2022
10. Spatiotemporal variation in near-surface CH4 concentrations in China over the last two decades J. Xu et al. 10.1007/s11356-021-14007-0
11. Design and description of the MUSICA IASI full retrieval product M. Schneider et al. 10.5194/essd-14-709-2022
12. The First Global Map of Atmospheric Ammonia (NH3) as Observed by the HIRAS/FY-3D Satellite M. Zhou et al. 10.1007/s00376-023-3059-9
13. Estimation of molecular column density of methane (XCH4) using AVIRIS-NG data M. Pathakoti 10.1117/1.JRS.12.046005
14. Trends and variability in methane concentrations over the Southeastern Arabian Peninsula D. Francis et al. 10.3389/fenvs.2023.1177877
15. Spectral Fingerprinting of Methane from Hyper-Spectral Sounder Measurements Using Machine Learning and Radiative Kernel-Based Inversion W. Wu et al. 10.3390/rs16030578