51 citations as recorded by crossref.

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13. A Novel WD-SARIMAX Model for Temperature Forecasting Using Daily Delhi Climate Dataset A. Elshewey et al. https://doi.org/10.3390/su15010757
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22. Using Chaos theory fundamentals for analysing temperature, precipitation variability and trends in Northern Patagonia, Argentina G. García Bu Bucogen et al. https://doi.org/10.1071/ES22009
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26. Evaluation of the performance of the Beijing Climate Centre Climate System Model 1.1(m) to simulate precipitation across China based on long‐range correlation characteristics S. Zhao & W. He https://doi.org/10.1002/2015JD024059
27. On the Autocorrelation Function of 1/f Noises P. Carpena & A. Coronado https://doi.org/10.3390/math10091416
28. Volatility of unevenly sampled fractional Brownian motion: An application to ice core records J. Davidsen & J. Griffin https://doi.org/10.1103/PhysRevE.81.016107
29. Differences in nonlinear heart dynamics during rest and exercise and for different training M. Gómez-Extremera et al. https://doi.org/10.1088/1361-6579/aad929
30. Persistence and long-term memories of daily maximum and minimum temperatures in southern South America G. Naumann et al. https://doi.org/10.1007/s00704-010-0395-3
31. Whether the updates of dynamical processes can improve the performance of BCC‐CSM model to reproduce the long‐range correlation of the daily temperature? W. He et al. https://doi.org/10.1002/joc.8092
32. Nonlinear dynamics and multifractal analysis of minimum–maximum temperature and solar radiation over Lagos State, Nigeria J. Akinsusi et al. https://doi.org/10.1007/s11600-022-00879-4
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37. Modelling long‐term monthly temperatures by several data‐driven methods using geographical inputs O. Kisi & H. Sanikhani https://doi.org/10.1002/joc.4249
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47. Air Temperature Forecasting Using Machine Learning Techniques: A Review J. Cifuentes et al. https://doi.org/10.3390/en13164215
48. Different scaling behaviors in daily temperature records over China N. Yuan et al. https://doi.org/10.1016/j.physa.2010.05.026
49. Transforming Gaussian correlations. Applications to generating long-range power-law correlated time series with arbitrary distribution P. Carpena et al. https://doi.org/10.1063/5.0013986
50. Universal scaling behaviors of meteorological variables’ volatility and relations with original records F. Lu et al. https://doi.org/10.1016/j.physa.2012.05.031
51. Towards Sustainable Urban Mobility: Leveraging Machine Learning Methods for QA of Meteorological Measurements in the Urban Area D. Sládek et al. https://doi.org/10.3390/su16135713