47 citations as recorded by crossref.

1. Using ERA-Interim reanalysis for creating datasets of energy-relevant climate variables P. Jones et al. https://doi.org/10.5194/essd-9-471-2017
2. Tempo-spatial characteristics of sub-daily temperature trends in mainland China Y. Ren et al. https://doi.org/10.1007/s00382-015-2726-7
3. High-resolution grids of daily air temperature for Peru - the new PISCOt v1.2 dataset A. Huerta et al. https://doi.org/10.1038/s41597-023-02777-w
4. Accuracy of daily extreme air temperatures under natural variations in thermometer screen ventilation R. Harrison & S. Burt https://doi.org/10.1002/asl.1256
5. A new method to study inhomogeneities in climate records: Brownian motion or random deviations? R. Lindau & V. Venema https://doi.org/10.1002/joc.6105
6. Relative Homogenization of Climatic Time Series P. Domonkos https://doi.org/10.3390/atmos15080957
7. Observational and model evidence together support wide-spread exposure to noncompensable heat under continued global warming C. Powis et al. https://doi.org/10.1126/sciadv.adg9297
8. Evaluation of the Homogenization Adjustments Applied to European Temperature Records in the Global Historical Climatology Network Dataset P. O’Neill et al. https://doi.org/10.3390/atmos13020285
9. The evolving distribution of humidity conditional on temperature and implications for compound heat extremes across China in a warming world C. Liang & J. Yuan https://doi.org/10.1016/j.aosl.2025.100596
10. Evaluation and Projection of Surface Wind Speed Over China Based on CMIP6 GCMs J. Wu et al. https://doi.org/10.1029/2020JD033611
11. Global wind stilling and the role of sub-monthly variability in explaining deficiencies in atmospheric reanalyses P. Monerie et al. https://doi.org/10.1007/s00382-026-08163-7
12. Increases in China’s wind energy production from the recovery of wind speed since 2012 Y. Liu et al. https://doi.org/10.1088/1748-9326/ac9cf4
13. Forecast-based attribution of a winter heatwave within the limit of predictability N. Leach et al. https://doi.org/10.1073/pnas.2112087118
14. Climatology of near-surface wind speed from observational, reanalysis and high-resolution regional climate model data over the Tibetan Plateau L. Minola et al. https://doi.org/10.1007/s00382-023-06931-3
15. The EUSTACE global land station daily air temperature dataset Y. Brugnara et al. https://doi.org/10.1002/gdj3.81
16. GSDM-WBT: global station-based daily maximum wet-bulb temperature data for 1981–2020 J. Dong et al. https://doi.org/10.5194/essd-14-5651-2022
17. Investigating the potential for students to contribute to climate data rescue: Introducing the Climate Data Rescue Africa project (CliDaR‐Africa) S. Noone et al. https://doi.org/10.1002/gdj3.248
18. Detecting and adjusting artificial biases of long‐term temperature records in Israel Y. Yosef et al. https://doi.org/10.1002/joc.5500
19. Wind stilling shapes grassland water use efficiency by enhancing soil moisture retention H. Wu et al. https://doi.org/10.1126/sciadv.aee4995
20. Generalized early warning signals in multivariate and gridded data with an application to tropical cyclones J. Prettyman et al. https://doi.org/10.1063/1.5093495
21. Has the stilling of the surface wind speed ended in China? Q. Yang et al. https://doi.org/10.1007/s11430-020-9738-4
22. Development of a Submonthly Temperature Product to Monitor Near-Real-Time Climate Conditions and Assess Long-Term Heat Events in the United States J. Rennie et al. https://doi.org/10.1175/JAMC-D-19-0076.1
23. A reversal in global terrestrial stilling and its implications for wind energy production Z. Zeng et al. https://doi.org/10.1038/s41558-019-0622-6
24. An approach to homogenize daily peak wind gusts: An application to the Australian series C. Azorin‐Molina et al. https://doi.org/10.1002/joc.5949
25. Diurnal and seasonal patterns of global urban dry islands N. Meili et al. https://doi.org/10.1088/1748-9326/ac68f8
26. Changes in statistical distributions of sub-daily surface temperatures and wind speed R. Dunn et al. https://doi.org/10.5194/esd-10-765-2019
27. The asymmetric impact of abundant preceding rainfall on heat stress in low latitudes X. Liu et al. https://doi.org/10.1088/1748-9326/ab018a
28. Random trend errors in climate station data due to inhomogeneities R. Lindau & V. Venema https://doi.org/10.1002/joc.6340
29. Relationship between erythema effective UV radiant exposure, total ozone, cloud cover and aerosols in southern England, UK N. Hunter et al. https://doi.org/10.5194/acp-19-683-2019
30. From Archives to Insights: Extreme Weather Events and Socio‐Economic Impacts in Madagascar From Newly Digitised Historical Climate Records (1949–1966) S. Noone et al. https://doi.org/10.1002/joc.70203
31. On the Availability of High‐Resolution Data for Near‐Surface Climate Analysis in the Continental U.S. E. Oswald & L. Dupigny‐Giroux https://doi.org/10.1111/gec3.12249
32. The Destination Earth digital twin for climate change adaptation F. Doblas-Reyes et al. https://doi.org/10.5194/gmd-19-2821-2026
33. Global evaluation of terrestrial near-surface air temperature and specific humidity retrievals from the Atmospheric Infrared Sounder (AIRS) J. Sun et al. https://doi.org/10.1016/j.rse.2020.112146
34. Calculating the Temperature Trend Bias Induced by Inhomogeneities Into Climate Data Without Running a Homogenization Algorithm R. Lindau https://doi.org/10.1002/joc.8867
35. Reassessing changes in diurnal temperature range: A new data set and characterization of data biases P. Thorne et al. https://doi.org/10.1002/2015JD024583
36. Huayu: Advanced real-time satellite-based precipitation estimation Z. Song et al. https://doi.org/10.1016/j.jag.2026.105307
37. Geo-locate project: a novel approach to resolving meteorological station location issues with the assistance of undergraduate students S. Noone et al. https://doi.org/10.5194/gc-2-157-2019
38. Expanding HadISD: quality-controlled, sub-daily station data from 1931 R. Dunn et al. https://doi.org/10.5194/gi-5-473-2016
39. Combination of Using Pairwise Comparisons and Composite Reference Series: A New Approach in the Homogenization of Climatic Time Series with ACMANT P. Domonkos https://doi.org/10.3390/atmos12091134
40. Underestimated increase and intensification of humid-heat extremes across southeast China due to humidity data inhomogeneity X. Li et al. https://doi.org/10.3389/fenvs.2022.1104039
41. Beryllium-7 and Lead-210 are Associated with an Increase in the Arctic Oscillation: Evidence from Atmospheric Aerosols in a Remote Tropical Region in East Asia X. Chen et al. https://doi.org/10.1007/s13143-021-00237-2
42. Global assessment of spatiotemporal changes of frequency of terrestrial wind speed Y. Zhao et al. https://doi.org/10.1088/1748-9326/acc9d5
43. Impact of diurnal temperature and relative humidity hysteresis on atmospheric dryness in changing climates C. Shih et al. https://doi.org/10.1126/sciadv.adu5713
44. Future wind energy potential for wind farm development in Africa based on bias-corrected NEX-GDDP-CMIP6 wind projections A. Ogunrinde et al. https://doi.org/10.1016/j.clet.2026.101145
45. Application of homogenization methods for Ireland's monthly precipitation records: Comparison of break detection results J. Coll et al. https://doi.org/10.1002/joc.6575
46. Multi-scale assessment of ERA5 hourly pressure-level data on a global scale with in- situ observations Q. Zhang & J. Li https://doi.org/10.1007/s00704-025-05794-4
47. Global ensemble of temperatures over 1850–2018: quantification of uncertainties in observations, coverage, and spatial modeling (GETQUOCS) M. Ilyas et al. https://doi.org/10.5194/amt-14-7103-2021