Volume 19 Issue 3
Sep.  2026
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Tian-yu Liang, Wen Wang. 2026: Rethinking drought characterization: From fragmented metrics toward a multidimensional impact-aware framework. Water Science and Engineering, 19(3): 315-320. doi: 10.1016/j.wse.2026.07.004
Citation: Tian-yu Liang, Wen Wang. 2026: Rethinking drought characterization: From fragmented metrics toward a multidimensional impact-aware framework. Water Science and Engineering, 19(3): 315-320. doi: 10.1016/j.wse.2026.07.004

Rethinking drought characterization: From fragmented metrics toward a multidimensional impact-aware framework

doi: 10.1016/j.wse.2026.07.004
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This work was supported by the National Natural Science Foundation of China (Grant No. 42471027), the Zhejiang Provincial Department of Water Resources Science and Technology Project (Grant No. RB2402), and the Hangzhou Agriculture and Social Development Project (Grant No. 20241029Y013).

  • Received Date: 2026-05-29
  • Accepted Date: 2026-06-30
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  • [1]
    Bachmair, S., Kohn, I., Stahl, K., 2015. Exploring the link between drought indicators and impacts. Natural Hazards and Earth System Sciences 15, 1381-1397. https://doi.org/10.5194/nhess-15-1381-2015.
    [2]
    Cavalcante, L., Walker, D.W., Kchouk, S., Ribeiro Neto, G., Carvalho, T.M.N., De Brito, M.M., Pot, W., Dewulf, A., Van Oel, P.R., 2025. From insufficient rainfall to livelihoods: Understanding the cascade of drought impacts and policy implications. Natural Hazards and Earth System Sciences 25, 1993-2005. https://doi.org/10.5194/nhess-25-1993-2025.
    [3]
    Cavus, Y., Stahl, K., Aksoy, H., 2023. Drought intensity-duration-frequency curves based on deficit in precipitation and streamflow for water resources management. Hydrology and Earth System Sciences 27, 3427-3445. https://doi.org/10.5194/hess-27-3427-2023.
    [4]
    Geng, G., Zhang, B., Gu, Q., He, Z., Zheng, R., 2024. Drought propagation characteristics across China: Time, probability, and threshold. Journal of Hydrology 631, 130805. https://doi.org/10.1016/j.jhydrol.2024.130805.
    [5]
    Hoylman, Z.H., Bocinsky, R.K., Jencso, K.G., 2022. Drought assessment has been outpaced by climate change: Empirical arguments for a paradigm shift. Nature Communications 13, 2715. https://doi.org/10.1038/s41467-022-30316-5.
    [6]
    Li, D., Ding, Y., Zhou, Z., Wang, T., Wei, R., 2025. The spatiotemporal evolution and propagation characteristics of multiple drought types from a three-dimensional perspective. Journal of Hydrology 652, 132702. https://doi.org/10.1016/j.jhydrol.2025.132702.
    [7]
    Li, W., Pacheco-Labrador, J., Migliavacca, M., Miralles, D., van Dijke, A.H., Reichstein, M., Forkel, M., Zhang, W., Frankenberg, C., Panwar, A., et al., 2023. Widespread and complex drought effects on vegetation physiology inferred from space. Nature Communications 14, 4640. https://doi.org/10.1038/s41467-023-40226-9.
    [8]
    Li, Z., Huang, S., Wang, Y., Zhou, S., Huang, Q., Liu, D., Leng, G., 2026. A process-oriented framework to decipher drought propagation dynamics from meteorological to ecological, agricultural, hydrological, and socioeconomic drought in the Yellow River Basin. Ecological Indicators 182, 114574. https://doi.org/10.1016/j.ecolind.2025.114574.
    [9]
    Lisonbee, J., Nielsen-Gammon, J., Trewin, B., Follingstad, G., Parker, B., 2024. Drought assessment in a changing climate: A review of climate normals for drought indices. Journal of Applied and Service Climatology 2024(1). https://doi.org/10.46275/JOASC.2024.05.001.
    [10]
    Lloyd-Hughes, B., 2014. The impracticality of a universal drought definition. Theoretical and Applied Climatology 117, 607-611. https://doi.org/10.1007/s00704-013-1025-7.
    [11]
    Satoh, Y., Shiogama, H., Hanasaki, N., Pokhrel, Y., Boulange, J.E.S., Burek, P., Gosling, S.M., Grillakis, M., Koutroulis, A., Schmied, H.M., 2021. A quantitative evaluation of the issue of drought definition: A source of disagreement in future drought assessments. Environmental Research Letters 16(10), 104001. https://doi.org/10.1088/1748-9326/ac2348.
    [12]
    Schilstra, M., Wang, W., van Oel, P.R., Wang, J.S., Cheng, H., 2024. The effects of reservoir storage and water use on the upstream-downstream drought propagation. Journal of Hydrology 631, 130668. https://doi.org/10.1016/j.jhydrol.2024.130668.
    [13]
    Sodoge, J., Kuhlicke, C., De Brito, M.M., 2023. Automatized spatio-temporal detection of drought impacts from newspaper articles using natural language processing and machine learning. Weather and Climate Extremes 41, 100574. https://doi.org/10.1016/j.wace.2023.100574.
    [14]
    Van Huijgevoort, M.H.J., Van Lanen, H.A.J., Teuling, A.J., Uijlenhoet, R., 2014. Identification of changes in hydrological drought characteristics from a multi-GCM driven ensemble constrained by observed discharge. Journal of Hydrology 512, 421-434. https://doi.org/10.1016/j.jhydrol.2014.02.060.
    [15]
    Van Loon, A.F., 2015. Hydrological drought explained. WIREs Water 2(4), 359-392. https://doi.org/10.1002/wat2.1085.
    [16]
    Wang, M., Jiang, S., Ren, L., Xu, J., Yuan, S., Xu, C.-Y., 2025. An integrated framework for non-stationary hydrological drought assessment using time-varying parameter standardized streamflow index and time-varying threshold level method. Journal of Hydrology: Regional Studies 59, 102329. https://doi.org/10.1016/j.ejrh.2025.102329.
    [17]
    Wang, W., Ertsen, M.W., Svoboda, M.D., Hafeez, M., 2016. Propagation of drought: From meteorological drought to agricultural and hydrological drought. Advances in Meteorology 2016, 6547209. https://doi.org/10.1155/2016/6547209.
    [18]
    Wang, W., Wang, J., Romanowicz, R., 2021. Uncertainty in SPI calculation and its impact on drought assessment in different climate regions over China. Journal of Hydrometeorology 22, 1369-1383. https://doi.org/10.1175/JHM-D-20-0256.1.
    [19]
    Wang, W., Wang, H., 2025. Rethinking drought definition and classification. Water Science and Engineering 18(2), 125-128. https://doi.org/10.1016/j.wse.2025.04.002.
    [20]
    Wu, J., Wang, G., Chen, X., Yuan, X., Yao, H, Chen, X., Lan, T., Zheng, Y., AghaKouchak, A., 2024. Hydrological drought characterization considering onset, maximum streamflow deficit, and termination. Advances in Water Resources 184, 104613. https://doi.org/10.1016/j.advwatres.2023.104613.
    [21]
    Yuan, M., Gan, G., Bu, J., Su, Y., Ma, H., Liu, X., Zhang, Y., Guo, Y., 2025. A new multivariate composite drought index considering the lag time and the cumulative effects of drought. Journal of Hydrology 653, 132757. https://doi.org/10.1016/j.jhydrol.2025.132757.
    [22]
    Zhu, Y., Wang, W., Singh, V.P., Liu, Y., 2016. Combined use of meteorological drought indices at multi-timescales for improving hydrological drought detection. Science of The Total Environment 571, 1058-1068. https://doi.org/10.1016/j.scitotenv.2016.07.096.
    [23]
    Zhu, Y., Liu, Y., Wang, W., Singh, V.P., Ma, X., Yu, Z., 2019. Three-dimensional characterization of meteorological and hydrological droughts and their probabilistic links. Journal of Hydrology 578, 124016. https://doi.org/10.1016/j.jhydrol.2019.124016.
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