54 citations as recorded by crossref.

1. dlmmc: Dynamical linear model regression for atmospheric time-series analysis J. Alsing https://doi.org/10.21105/joss.01157
2. Stratospheric ozone trends for 1984–2021 in the SAGE II–OSIRIS–SAGE III/ISS composite dataset K. Bognar et al. https://doi.org/10.5194/acp-22-9553-2022
3. Dynamical linear modeling estimates of long-term ozone trends from homogenized Dobson Umkehr profiles at Arosa/Davos, Switzerland E. Maillard Barras et al. https://doi.org/10.5194/acp-22-14283-2022
4. Estimating decadal variability in sea level from tide gauge records: An application to the North Sea T. Frederikse et al. https://doi.org/10.1002/2015JC011174
5. Is global ozone recovering? W. Steinbrecht et al. https://doi.org/10.1016/j.crte.2018.07.012
6. Quantifying stratospheric ozone trends over 1984–2020: a comparison of ordinary and regularized multivariate regression models Y. Li et al. https://doi.org/10.5194/acp-23-13029-2023
7. Evaluation of the N2O Rate of Change to Understand the Stratospheric Brewer‐Dobson Circulation in a Chemistry‐Climate Model D. Minganti et al. https://doi.org/10.1029/2021JD036390
8. Inconsistencies between chemistry–climate models and observed lower stratospheric ozone trends since 1998 W. Ball et al. https://doi.org/10.5194/acp-20-9737-2020
9. Trends in the average temperature in Finland, 1847–2013 S. Mikkonen et al. https://doi.org/10.1007/s00477-014-0992-2
10. Analysis of recent lower-stratospheric ozone trends in chemistry climate models S. Dietmüller et al. https://doi.org/10.5194/acp-21-6811-2021
11. Structural decomposition of decadal climate prediction errors: A Bayesian approach D. Zanchettin et al. https://doi.org/10.1038/s41598-017-13144-2
12. Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals E. Kivimäki et al. https://doi.org/10.3390/rs11070882
13. Iterative Filtering and Smoothing with Optical Flow Prediction Models J. Hakkarainen et al. https://doi.org/10.1137/24M1689120
14. Long-term changes in the thermodynamic structure of the lowermost stratosphere inferred from reanalysis data F. Weyland et al. https://doi.org/10.5194/acp-25-1227-2025
15. Long‐term variations in global sea level extremes M. Marcos et al. https://doi.org/10.1002/2015JC011173
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18. Understanding Farmers’ Knowledge, Perceptions, and Adaptation Strategies to Climate Change in Eastern Rwanda M. Rwema et al. https://doi.org/10.3390/su17156721
19. Merged SAGE II, Ozone_cci and OMPS ozone profile dataset and evaluation of ozone trends in the stratosphere V. Sofieva et al. https://doi.org/10.5194/acp-17-12533-2017
20. Ozone variability in the troposphere and the stratosphere from the first 6 years of IASI observations (2008–2013) C. Wespes et al. https://doi.org/10.5194/acp-16-5721-2016
21. Measurement report: regional trends of stratospheric ozone evaluated using the MErged GRIdded Dataset of Ozone Profiles (MEGRIDOP) V. Sofieva et al. https://doi.org/10.5194/acp-21-6707-2021
22. Apportionment of long-term trends in different sections of total ozone column over tropical region C. Kumar et al. https://doi.org/10.1007/s10661-022-09980-z
23. Global ground-based tropospheric ozone measurements: reference data and individual site trends (2000–2022) from the TOAR-II/HEGIFTOM project R. Van Malderen et al. https://doi.org/10.5194/acp-25-7187-2025
24. Detectability of the impacts of ozone-depleting substances and greenhouse gases upon stratospheric ozone accounting for nonlinearities in historical forcings J. Bandoro et al. https://doi.org/10.5194/acp-18-143-2018
25. Sensitivity of aerosol optical depth trends using long-term measurements of different sun photometers A. Karanikolas et al. https://doi.org/10.5194/amt-15-5667-2022
26. The role of tropical upwelling in explaining discrepancies between recent modeled and observed lower-stratospheric ozone trends S. Davis et al. https://doi.org/10.5194/acp-23-3347-2023
27. Evidence for a continuous decline in lower stratospheric ozone offsetting ozone layer recovery W. Ball et al. https://doi.org/10.5194/acp-18-1379-2018
28. Stratospheric ozone trends for 1985–2018: sensitivity to recent large variability W. Ball et al. https://doi.org/10.5194/acp-19-12731-2019
29. Comparison of particle number size distribution trends in ground measurements and climate models V. Leinonen et al. https://doi.org/10.5194/acp-22-12873-2022
30. Detection and interpretation of the time-varying seasonal signals in China with multi-geodetic measurements L. Deng et al. https://doi.org/10.1016/j.geog.2024.05.005
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32. Is the Atlantic a Source for Decadal Predictability of Sea‐Level Rise in Venice? D. Zanchettin et al. https://doi.org/10.1029/2022EA002494
33. Zonal variability of methane trends derived from satellite data J. Hachmeister et al. https://doi.org/10.5194/acp-24-577-2024
34. Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model Y. Wang et al. https://doi.org/10.1016/j.ymssp.2020.106654
35. A DLM-LSTM Framework for North-South Land Deformation Trend Analysis from Low-Cost GPS Sensor Time Series F. Pu et al. https://doi.org/10.1155/2018/3054295
36. Detecting undocumented trends in solar irradiance observations T. Dudok de Wit https://doi.org/10.1051/swsc/2021041
37. Centennial solar EUV irradiance from ionospheric currents: Varying sunspot-EUV irradiance relation and modified spot-facula ratio K. Mursula https://doi.org/10.1016/j.jastp.2025.106653
38. Vertical Distribution of Arctic Methane in 2009–2018 Using Ground-Based Remote Sensing T. Karppinen et al. https://doi.org/10.3390/rs12060917
39. Accelerated North Atlantic surface warming reshapes the Atlantic Multidecadal Variability D. Zanchettin & A. Rubino https://doi.org/10.1038/s43247-024-01804-x
40. Uncertainties in recent tropical stratospheric and tropospheric ozone changes limit the use of observational constraints for assessing future ozone change S. Davis et al. https://doi.org/10.5194/acp-26-13817-2026
41. Attribution Analysis of Dry Season Runoff in the Lhasa River Using an Extended Hydrological Sensitivity Method and a Hydrological Model Z. Wu et al. https://doi.org/10.3390/w11061187
42. Bayesian dynamic forecasting of structural strain response using structural health monitoring data Y. Wang & Y. Ni https://doi.org/10.1002/stc.2575
43. Reconciling differences in stratospheric ozone composites W. Ball et al. https://doi.org/10.5194/acp-17-12269-2017
44. A ubiquitous asthma monitoring framework based on ambient air pollutants and individuals’ contexts N. Kaffash-Charandabi et al. https://doi.org/10.1007/s11356-019-04185-3
45. Time-varying trends from Arctic ozonesonde time series in the years 1994–2022 K. Nilsen et al. https://doi.org/10.1038/s41598-024-75364-7
46. Indicators of the ozone recovery for selected sites in the Northern Hemisphere mid-latitudes derived from various total column ozone datasets (1980–2020) J. Krzyścin https://doi.org/10.5194/acp-23-3119-2023
47. Ground-based assessment of the bias and long-term stability of 14 limb and occultation ozone profile data records D. Hubert et al. https://doi.org/10.5194/amt-9-2497-2016
48. Consistency between zonal mean stratospheric and total column ozone trends (2000–2024) B. Auffarth et al. https://doi.org/10.5194/acp-26-13359-2026
49. Decomposition of geodetic time series: A combined simulated annealing algorithm and Kalman filter approach F. Ming et al. https://doi.org/10.1016/j.asr.2019.05.049
50. Nonstationary Roles of Regional Forcings in Driving Low‐Frequency Sea Level Variability Along the U.S. East Coast Since the 1950s Y. Zhu et al. https://doi.org/10.1029/2023GL104191
51. Trend detection of atmospheric time series K. Chang et al. https://doi.org/10.1525/elementa.2021.00035
52. Past changes in the vertical distribution of ozone – Part 3: Analysis and interpretation of trends N. Harris et al. https://doi.org/10.5194/acp-15-9965-2015
53. An enhanced singular spectrum analysis method for constructing nonsecular model of GPS site movement X. Wang et al. https://doi.org/10.1002/2015JB012573
54. Updated global and regional trends of stratospheric ozone profiles V. Sofieva et al. https://doi.org/10.5194/acp-26-7387-2026