Articles | Volume 33, issue 2
https://doi.org/10.5194/npg-33-303-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Nonlinear quantitative relationship between the duration and occurrence frequency of droughts
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Feng, A. Q., Liu, L. L., Wang, G. F., Tang, J., Zhang, X. J., Chen, Y. X., He, X. J., and Liu, P.: Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI), Remote Sens., 15, https://doi.org/10.3390/rs15225410, 2023.
Hou, W., Zhang, C. J., and Gao, G.: Research on Multi-scale Superposed Drought Index and Its Classification Based on Standardized Precipitation Index, Arid Zone Res., 30, 74–88, https://doi.org/10.13866/j.azr.2013.01.025, 2013.
Huang, M. T. and Zhai, P. M.: Impact of extreme seasonal drought on ecosystem carbon-water coupling across China, Adv. Clim. Change Res., https://doi.org/10.1016/j.accre.2024.08.001, 2024.
Li, X., Ding, R. Q., and Li, J. P.: Quantitative Comparison of Predictabilities of Warm and Cold Events Using the Backward Nonlinear Local Lyapunov Exponent Method, Adv. Atmos. Sci., 37, https://doi.org/10.1007/s00376-020-2100-5, 2020.
Li, X., Ding, R. Q., and Li, J. P.: Estimating the local predictability of heatwaves in south China using the backward nonlinear local Lyapunov exponent method, Clim. Dynam., 61, 3605–3618, https://doi.org/10.1007/s00382-023-06757-z, 2023.