48 citations as recorded by crossref.

1. Variations of oxygen-18 in West Siberian precipitation during the last 50 years M. Butzin et al. https://doi.org/10.5194/acp-14-5853-2014
2. Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network E. Dupuy et al. https://doi.org/10.3390/rs8050414
3. Multispectral information from TANSO-FTS instrument – Part 1: Application to greenhouse gases (CO2 and CH4) in clear sky conditions H. Herbin et al. https://doi.org/10.5194/amt-6-3301-2013
4. Vertical and horizontal variability and representativeness of the water vapor isotope composition in the lower troposphere: insight from ultralight aircraft flights in southern France during summer 2021 D. Zannoni et al. https://doi.org/10.5194/acp-25-9471-2025
5. Range-resolved detection of boundary layer stable water vapor isotopologues using a ground-based 1.98 µm differential absorption LIDAR J. Hamperl et al. https://doi.org/10.1364/OE.472451
6. Atmospheric CO2 column concentration over Iran: Emissions, GOSAT satellite observations, and WRF-GHG model simulations S. Karbasi et al. https://doi.org/10.1016/j.atmosres.2024.107818
7. Recent progress on the sources of continental precipitation as revealed by moisture transport analysis L. Gimeno et al. https://doi.org/10.1016/j.earscirev.2019.103070
8. Empirical validation and proof of added value of MUSICA's tropospheric δD remote sensing products M. Schneider et al. https://doi.org/10.5194/amt-8-483-2015
9. Global-scale remote sensing of water isotopologues in the troposphere: representation of first-order isotope effects S. Sutanto et al. https://doi.org/10.5194/amt-8-999-2015
10. Observation system simulation experiments using water vapor isotope information K. Yoshimura et al. https://doi.org/10.1002/2014JD021662
11. Stable isotopes in atmospheric water vapor and applications to the hydrologic cycle J. Galewsky et al. https://doi.org/10.1002/2015RG000512
12. Remote sensing of atmospheric HDO/H2O in southern California from CLARS-FTS Z. Zeng et al. https://doi.org/10.1016/j.jqsrt.2022.108254
13. Long-Term Observations of Atmospheric Constituents at the First Ground-Based High-Resolution Fourier-Transform Spectrometry Observation Station in China C. Liu et al. https://doi.org/10.1016/j.eng.2021.11.022
14. A new algorithm to generate a priori trace gas profiles for the GGG2020 retrieval algorithm J. Laughner et al. https://doi.org/10.5194/amt-16-1121-2023
15. Emerging Technologies and Synergies for Airborne and Space-Based Measurements of Water Vapor Profiles A. Nehrir et al. https://doi.org/10.1007/s10712-017-9448-9
16. A posteriori calculation of δ18O and δD in atmospheric water vapour from ground-based near-infrared FTIR retrievals of H216O, H218O, and HD16O N. Rokotyan et al. https://doi.org/10.5194/amt-7-2567-2014
17. Retrieval of daytime total columnar water vapour from MODIS measurements over land surfaces H. Diedrich et al. https://doi.org/10.5194/amt-8-823-2015
18. Intercomparison of XH2O Data from the GOSAT TANSO-FTS (TIR and SWIR) and Ground-Based FTS Measurements: Impact of the Spatial Variability of XH2O on the Intercomparison H. Ohyama et al. https://doi.org/10.3390/rs9010064
19. HDO and H2O total column retrievals from TROPOMI shortwave infrared measurements R. Scheepmaker et al. https://doi.org/10.5194/amt-9-3921-2016
20. Toward a process-oriented understanding of water in the climate system: recent insights from stable isotopes A. Bailey et al. https://doi.org/10.1088/2752-5295/ada17b
21. Retrieval of HDO Relative Content in the Atmosphere from Simultaneous GOSAT-2 Measurements in the Thermal and Near-IR I. Zadvornykh et al. https://doi.org/10.1134/S1024856023030120
22. Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm S. Noël et al. https://doi.org/10.5194/amt-15-3401-2022
23. A Review of Water Isotopes in Atmospheric General Circulation Models: Recent Advances and Future Prospects X. Xi https://doi.org/10.1155/2014/250920
24. Cross-validation of IASI/MetOp derived tropospheric δD with TES and ground-based FTIR observations J. Lacour et al. https://doi.org/10.5194/amt-8-1447-2015
25. To what extent could water isotopic measurements help us understand model biases in the water cycle over Western Siberia V. Gryazin et al. https://doi.org/10.5194/acp-14-9807-2014
26. Improved water vapour spectroscopy in the 4174–4300 cm−1 region and its impact on SCIAMACHY HDO/H2O measurements R. Scheepmaker et al. https://doi.org/10.5194/amt-6-879-2013
27. Characterization and evaluation of AIRS-based estimates of the deuterium content of water vapor J. Worden et al. https://doi.org/10.5194/amt-12-2331-2019
28. Developing a western Siberia reference site for tropospheric water vapour isotopologue observations obtained by different techniques (in situ and remote sensing) K. Gribanov et al. https://doi.org/10.5194/acp-14-5943-2014
29. Accomplishments of the MUSICA project to provide accurate, long-term, global and high-resolution observations of tropospheric {H2O,δD} pairs – a review M. Schneider et al. https://doi.org/10.5194/amt-9-2845-2016
30. Atmospheric HDO Abundance Measurements in the Tibetan Plateau Based on Laser Heterodyne Radiometer X. Lu et al. https://doi.org/10.3390/rs16030459
31. Moisture transport and seasonal variations in the stable isotopic composition of rainfall in Central American and Andean Páramo during El Niño conditions (2015–2016) G. Esquivel‐Hernández et al. https://doi.org/10.1002/hyp.13438
32. Validation of SCIAMACHY HDO/H2O measurements using the TCCON and NDACC-MUSICA networks R. Scheepmaker et al. https://doi.org/10.5194/amt-8-1799-2015
33. Evaluating hydrological processes in the Community Atmosphere Model Version 5 (CAM5) using stable isotope ratios of water J. Nusbaumer et al. https://doi.org/10.1002/2016MS000839
34. The global and multi-annual MUSICA IASI {H2O, δD} pair dataset C. Diekmann et al. https://doi.org/10.5194/essd-13-5273-2021
35. Observation of tropospheric δD by IASI over western Siberia: comparison with a general circulation model M. Pommier et al. https://doi.org/10.5194/amt-7-1581-2014
36. Stable Water Isotopes in Climatology, Meteorology, and Hydrology: A Review K. YOSHIMURA https://doi.org/10.2151/jmsj.2015-036
37. Cold air incursions, δ18O variability, and monsoon dynamics associated with snow days at Quelccaya Ice Cap, Peru J. Hurley et al. https://doi.org/10.1002/2015JD023323
38. First data set of H2O/HDO columns from the Tropospheric Monitoring Instrument (TROPOMI) A. Schneider et al. https://doi.org/10.5194/amt-13-85-2020
39. Method for Retrieval of the HDO/H2O Ratio Vertical Profile in the Atmosphere from Satellite Spectra Simultaneously Measured in Thermal and Near-IR Ranges I. Zadvornykh et al. https://doi.org/10.1134/S1024856021020123
40. Tropical precipitation anomalies and d -excess evolution during El Niño 2014-16 R. Sánchez-Murillo et al. https://doi.org/10.1002/hyp.11088
41. Global estimates of gap-free and fine-scale CO2 concentrations during 2014–2020 from satellite and reanalysis data L. Zhang et al. https://doi.org/10.1016/j.envint.2023.108057
42. Study of satellite retrieved CO2 and CH4 concentration over India P. Prasad et al. https://doi.org/10.1016/j.asr.2014.07.021
43. Impact of atmospheric convection on south Tibet summer precipitation isotopologue composition using a combination of in situ measurements, satellite data, and atmospheric general circulation modeling Y. He et al. https://doi.org/10.1002/2014JD022180
44. A decadal time series of water vapor and D / H isotope ratios above Zugspitze: transport patterns to central Europe P. Hausmann et al. https://doi.org/10.5194/acp-17-7635-2017
45. Real-time standoff detection of nitrogen isotopes in ammonia plumes using a swept external cavity quantum cascade laser M. Phillips et al. https://doi.org/10.1364/OL.43.004065
46. Distributed Feedback Interband Cascade Laser Based Laser Heterodyne Radiometer for Column Density of HDO and CH4 Measurements at Dunhuang, Northwest of China X. Lu et al. https://doi.org/10.3390/rs14061489
47. The Earth's atmosphere – A stable isotope perspective and review J. Hoefs & R. Harmon https://doi.org/10.1016/j.apgeochem.2022.105355
48. Estimation and analysis of CO2 column concentrations (XCO2) in the Yangtze River Delta of China based on multi-source data and machine learning C. Chen et al. https://doi.org/10.1016/j.apr.2025.102528