63 citations as recorded by crossref.

1. Forecasting contrail climate forcing for flight planning and air traffic management applications: the CocipGrid model in pycontrails 0.51.0 Z. Engberg et al. https://doi.org/10.5194/gmd-18-253-2025
2. How well can brightness temperature differences of spaceborne imagers help to detect cloud phase? A sensitivity analysis regarding cloud phase and related cloud properties J. Mayer et al. https://doi.org/10.5194/amt-17-5161-2024
3. A scalable system to measure contrail formation on a per-flight basis S. Geraedts et al. https://doi.org/10.1088/2515-7620/ad11ab
4. Targeted use of paraffinic kerosene: Potentials and implications G. Quante et al. https://doi.org/10.1016/j.aeaoa.2024.100279
5. Contrail altitude estimation using GOES-16 ABI data and deep learning V. Meijer et al. https://doi.org/10.5194/amt-17-6145-2024
6. Mitigating the Climate Forcing of Aircraft Contrails by Small-Scale Diversions and Technology Adoption R. Teoh et al. https://doi.org/10.1021/acs.est.9b05608
7. Powering aircraft with 100 % sustainable aviation fuel reduces ice crystals in contrails R. Märkl et al. https://doi.org/10.5194/acp-24-3813-2024
8. ML-CIRRUS: The Airborne Experiment on Natural Cirrus and Contrail Cirrus with the High-Altitude Long-Range Research Aircraft HALO C. Voigt et al. https://doi.org/10.1175/BAMS-D-15-00213.1
9. Formation and radiative forcing of contrail cirrus B. Kärcher https://doi.org/10.1038/s41467-018-04068-0
10. Ground-based contrail observations: comparisons with reanalysis weather data and contrail model simulations J. Low et al. https://doi.org/10.5194/amt-18-37-2025
11. Statistical analysis of contrail to cirrus evolution during the Contrail and Cirrus Experiment (CONCERT) A. Chauvigné et al. https://doi.org/10.5194/acp-18-9803-2018
12. Operational differences lead to longer lifetimes of satellite detectable contrails from more fuel efficient aircraft E. Gryspeerdt et al. https://doi.org/10.1088/1748-9326/ad5b78
13. Tracing contrails within cirrus clouds and their climate effect Z. Wang & C. Voigt https://doi.org/10.1038/s41467-025-66724-6
14. On the fidelity of high-resolution numerical weather forecasts of contrail-favorable conditions G. Thompson et al. https://doi.org/10.1016/j.atmosres.2024.107663
15. Benchmarking and improving algorithms for attributing satellite-observed contrails to flights A. Sarna et al. https://doi.org/10.5194/amt-18-3495-2025
16. Reassessing properties and radiative forcing of contrail cirrus using a climate model L. Bock & U. Burkhardt https://doi.org/10.1002/2016JD025112
17. Most long-lived contrails form within cirrus clouds with uncertain climate impact A. Petzold et al. https://doi.org/10.1038/s41467-025-65532-2
18. Dehydration effects from contrails in a coupled contrail–climate model U. Schumann et al. https://doi.org/10.5194/acp-15-11179-2015
19. Reduced ice number concentrations in contrails from low-aromatic biofuel blends T. Bräuer et al. https://doi.org/10.5194/acp-21-16817-2021
20. Estimating spatio-temporal contrail coverage: Fusing satellite observations, meteorology, and air traffic flow R. Tang et al. https://doi.org/10.1016/j.aeaoa.2026.100504
21. Beyond Contrail Avoidance: Efficacy of Flight Altitude Changes to Minimise Contrail Climate Forcing R. Teoh et al. https://doi.org/10.3390/aerospace7090121
22. On the Life Cycle of Individual Contrails and Contrail Cirrus U. Schumann & A. Heymsfield https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0005.1
23. Global aviation contrail climate effects from 2019 to 2021 R. Teoh et al. https://doi.org/10.5194/acp-24-6071-2024
24. Contrails and their impact on shortwave radiation and photovoltaic power production – a regional model study S. Gruber et al. https://doi.org/10.5194/acp-18-6393-2018
25. Sensitivity of surface temperature to radiative forcing by contrail cirrus in a radiative-mixing model U. Schumann & B. Mayer https://doi.org/10.5194/acp-17-13833-2017
26. On the Weather Impact of Contrails: New Insights from Coupled ICON–CoCiP Simulations U. Schumann & A. Seifert https://doi.org/10.5194/acp-25-18571-2025
27. Airborne Measurements of Contrail Ice Properties—Dependence on Temperature and Humidity T. Bräuer et al. https://doi.org/10.1029/2020GL092166
28. Measurements of particle emissions of an A350-941 burning 100 % sustainable aviation fuels in cruise R. Dischl et al. https://doi.org/10.5194/acp-24-11255-2024
29. Feasibility test of per-flight contrail avoidance in commercial aviation A. Sonabend-W et al. https://doi.org/10.1038/s44172-024-00329-7
30. Synoptic Control of Contrail Cirrus Life Cycles and Their Modification Due to Reduced Soot Number Emissions A. Bier et al. https://doi.org/10.1002/2017JD027011
31. Air traffic and contrail changes over Europe during COVID-19: a model study U. Schumann et al. https://doi.org/10.5194/acp-21-7429-2021
32. Cleaner burning aviation fuels can reduce contrail cloudiness C. Voigt et al. https://doi.org/10.1038/s43247-021-00174-y
33. Properties of individual contrails: a compilation of observations and some comparisons U. Schumann et al. https://doi.org/10.5194/acp-17-403-2017
34. Observing long-lived longwave contrail forcing A. Sonabend-W et al. https://doi.org/10.5194/amt-19-1951-2026
35. Solving aviation’s climate-action conundrum C. Voigt https://doi.org/10.1038/d41586-025-02129-1
36. Understanding the role of contrails and contrail cirrus in climate change: a global perspective D. Singh et al. https://doi.org/10.5194/acp-24-9219-2024
37. An adaptive segmentation approach for contrail detection in meteosat second generation satellite imagery V. Santos Gabriel et al. https://doi.org/10.5194/amt-19-3271-2026
38. A Machine Learning Approach for Rainfall Estimation Integrating Heterogeneous Data Sources M. Guarascio et al. https://doi.org/10.1109/TGRS.2020.3037776
39. Factors limiting contrail detection in satellite imagery O. Driver et al. https://doi.org/10.5194/amt-18-1115-2025
40. Design Principles for a Contrail-Minimizing Trial in the North Atlantic J. Molloy et al. https://doi.org/10.3390/aerospace9070375
41. Influence of temperature and humidity on contrail formation regions in the general circulation model EMAC: a spring case study P. Peter et al. https://doi.org/10.5194/acp-25-5911-2025
42. Estimating the Effective Radiative Forcing of Contrail Cirrus M. Bickel et al. https://doi.org/10.1175/JCLI-D-19-0467.1
43. Contrail coverage over the United States before and during the COVID-19 pandemic V. Meijer et al. https://doi.org/10.1088/1748-9326/ac26f0
44. Description and evaluation of a new contrail cirrus parameterization in the ARPEGE-Climat atmospheric model M. Perini et al. https://doi.org/10.5802/crgeos.312
45. Climatological and radiative properties of midlatitude cirrus clouds derived by automatic evaluation of lidar measurements E. Kienast-Sjögren et al. https://doi.org/10.5194/acp-16-7605-2016
46. How Well Can Persistent Contrails Be Predicted? K. Gierens et al. https://doi.org/10.3390/aerospace7120169
47. Aviation Contrail Cirrus and Radiative Forcing Over Europe During 6 Months of COVID‐19 U. Schumann et al. https://doi.org/10.1029/2021GL092771
48. Observations of microphysical properties and radiative effects of a contrail cirrus outbreak over the North Atlantic Z. Wang et al. https://doi.org/10.5194/acp-23-1941-2023
49. Northern Hemisphere contrail properties derived from Terra and Aqua MODIS data for 2006 and 2012 D. Duda et al. https://doi.org/10.5194/acp-19-5313-2019
50. Mitigating the Climate Impact from Aviation: Achievements and Results of the DLR WeCare Project V. Grewe et al. https://doi.org/10.3390/aerospace4030034
51. Mitigating the contrail cirrus climate impact by reducing aircraft soot number emissions U. Burkhardt et al. https://doi.org/10.1038/s41612-018-0046-4
52. Contrail Detection on GOES-16 ABI With the OpenContrails Dataset J. Ng et al. https://doi.org/10.1109/TGRS.2023.3345226
53. Innovative Box-Wing Aircraft: Emissions and Climate Change A. Tasca et al. https://doi.org/10.3390/su13063282
54. Contrail detection on SEVIRI images and 1-year study of their physical properties and the atmospheric conditions favoring their formation over Europe G. Dekoutsidis et al. https://doi.org/10.1007/s00704-023-04357-9
55. Facilitating Climate-Friendly Aviation: Spatial-Frequency Synergy for Contrail Detection in Remote Sensing Imagery R. Tang et al. https://doi.org/10.1109/JSTARS.2025.3638952
56. Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks J. Strandgren et al. https://doi.org/10.5194/amt-10-3547-2017
57. Monte Carlo Simulations in Aviation Contrail Study: A Review D. Bianco et al. https://doi.org/10.3390/app12125885
58. A manually labeled contrail dataset from MSG/SEVIRI V. Santos Gabriel et al. https://doi.org/10.5194/essd-18-2397-2026
59. Impact of forecast stability on navigational contrail avoidance T. Dean et al. https://doi.org/10.1088/2634-4505/ae1da5
60. Hydroprocessing of fossil fuel-based aviation kerosene – Technology options and climate impact mitigation potentials G. Quante et al. https://doi.org/10.1016/j.aeaoa.2024.100259
61. Regional and Seasonal Dependence of the Potential Contrail Cover and the Potential Contrail Cirrus Cover over Europe R. Dischl et al. https://doi.org/10.3390/aerospace9090485
62. GVCCS: a dataset for contrail identification and tracking on visible whole sky camera sequences G. Jarry et al. https://doi.org/10.5194/essd-18-1037-2026
63. The effect of uncertainty in humidity and model parameters on the prediction of contrail energy forcing J. Platt et al. https://doi.org/10.1088/2515-7620/ad6ee5