130 citations as recorded by crossref.

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20. The Process-Cognizant Vegetation Drought Model (PCVDM): Analyzing vegetation drought dynamics in Hunan Province, China Z. Zhang et al. 10.1016/j.jenvman.2025.124533
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27. Multi-type assessment of global droughts and teleconnections Z. Nikraftar et al. 10.1016/j.wace.2021.100402
28. High Resolution Forecasting of Summer Drought in the Western United States R. Abolafia‐Rosenzweig et al. 10.1029/2022WR033734
29. Impacts of water regulation through a reservoir on drought dynamics and propagation in the Pilica River watershed T. Senbeta et al. 10.1016/j.ejrh.2024.101812
30. Can limits of plant available water be inferred from soil moisture distributions? M. Kukal & S. Irmak 10.1002/ael2.20113
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33. Evaluation of Spatial Rainfall Products in Sparsely Gauged Region Using Copula Uncertainty Modeling with Triple Collocation A. Tanim et al. 10.1061/(ASCE)HE.1943-5584.0002071
34. A Spatial Downscaling Method for Solar-Induced Chlorophyll Fluorescence Product Using Random Forest Regression and Drought Monitoring in Henan Province Z. Zhang et al. 10.3390/rs16060963
35. Mapping future droughts under global warming across China: A combined multi-timescale meteorological drought index and SOM-Kmeans approach P. Zeng et al. 10.1016/j.wace.2021.100304
36. Future hydro-meteorological drought of the Johor River Basin, Malaysia, based on CORDEX-SEA projections M. Tan et al. 10.1080/02626667.2019.1612901
37. Probabilistic modeling of crop-yield loss risk under drought: a spatial showcase for sub-Saharan Africa B. Kamali et al. 10.1088/1748-9326/ac4ec1
38. High resolution monitoring and probabilistic prediction of meteorological drought in a Mediterranean environment M. Torres-Vázquez et al. 10.1016/j.wace.2023.100558
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41. Copula-Based Joint Drought Index Using Precipitation, NDVI, and Runoff and Its Application in the Yangtze River Basin, China H. Wei et al. 10.3390/rs15184484
42. Projection of meteorological drought in Türkiye’s Mediterranean region based on multi-model ensemble from CMIP6 V. Gumus & M. Seker 10.1080/02626667.2024.2364712
43. Accuracy of agricultural drought indices and analysis of agricultural drought characteristics in China between 2000 and 2019 Y. Pan et al. 10.1016/j.agwat.2023.108305
44. Improved Drought Prediction Using Near Real-Time Climate Forecasts and Simulated Hydrologic Conditions H. Kang & V. Sridhar 10.3390/su10061799
45. Seasonal precipitation variability controls shallow soil water drought events across the southwestern United States T. McKellar & M. Crimmins 10.1016/j.agrformet.2025.110403
46. Identifying drought propagation by simultaneously considering linear and nonlinear dependence in the Wei River basin of the Loess Plateau, China W. Fang et al. 10.1016/j.jhydrol.2020.125287
47. Improving Drought Modeling Using Hybrid Random Vector Functional Link Methods R. Adnan et al. 10.3390/w13233379
48. A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations M. Enenkel et al. 10.3390/rs8040340
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51. A Vantage from Space Can Detect Earlier Drought Onset: An Approach Using Relative Humidity A. Farahmand et al. 10.1038/srep08553
52. Simulating the effects of climatic fluctuations on rice irrigation water requirement using AquaCrop N. Pirmoradian & N. Davatgar 10.1016/j.agwat.2018.10.003
53. Quantification of agricultural drought over Indian region: a multivariate phenology-based approach P. Das et al. 10.1007/s11069-020-03872-6
54. Evaluation of two satellite-based products against ground-based observation for drought analysis in the southern part of Iran S. Jafari et al. 10.1007/s11069-020-03965-2
55. Composite Agrometeorological Drought Index Accounting for Seasonality and Autocorrelation M. Bateni et al. 10.1061/(ASCE)HE.1943-5584.0001654
56. Global characterization of hydrological and meteorological droughts under future climate change: The importance of timescales, vegetation‐CO2feedbacks and changes to distribution functions S. Vicente‐Serrano et al. 10.1002/joc.6350
57. Bayesian vine copulas improve agricultural drought prediction for long lead times H. Wu et al. 10.1016/j.agrformet.2023.109326
58. Global evaluation of the “dry gets drier, and wet gets wetter” paradigm from a terrestrial water storage change perspective J. Xiong et al. 10.5194/hess-26-6457-2022
59. Flash Drought: Review of Concept, Prediction and the Potential for Machine Learning, Deep Learning Methods S. Tyagi et al. 10.1029/2022EF002723
60. A combined drought monitoring index based on multi-sensor remote sensing data and machine learning H. Han et al. 10.1080/10106049.2019.1633423
61. Multivariate drought indices to analyse spatiotemporal drought propagation in a semi-arid river basin S. Gorugantula et al. 10.1007/s00704-024-05236-7
62. Quantifying the reliability of four global datasets for drought monitoring over a semiarid region P. Katiraie-Boroujerdy et al. 10.1007/s00704-014-1360-3
63. A near‐term drought assessment using hydrological and climate forecasting in the Mekong River Basin H. Kang & V. Sridhar 10.1002/joc.6860
64. Drought cascades across multiple systems in Central Asia identified based on the dynamic space–time motion approach L. Tian et al. 10.5194/hess-27-4115-2023
65. Multi-sensor integrated framework and index for agricultural drought monitoring X. Zhang et al. 10.1016/j.rse.2016.10.045
66. Do Derived Drought Indices Better Characterize Future Drought Change? Z. Jiang et al. 10.1029/2022EF003350
67. Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China Y. Wang et al. 10.3390/rs12142298
68. Copula‐Based Convection‐Permitting Projections of Future Changes in Multivariate Drought Characteristics B. Zhang et al. 10.1029/2019JD030686
69. Copula-based stochastic uncertainty analysis of satellite precipitation products E. Sharifi et al. 10.1016/j.jhydrol.2019.01.035
70. The asymmetric impact of global warming on US drought types and distributions in a large ensemble of 97 hydro-climatic simulations S. Huang et al. 10.1038/s41598-017-06302-z
71. A multivariate approach for persistence-based drought prediction: Application to the 2010–2011 East Africa drought A. AghaKouchak 10.1016/j.jhydrol.2014.09.063
72. Generating High-Resolution and Long-Term SPEI Dataset over Southwest China through Downscaling EEAD Product by Machine Learning R. Fu et al. 10.3390/rs14071662
73. Spatial and temporal variations of ecosystem water use efficiency and its response to soil moisture drought in a water-limited watershed of northern China T. Zhang et al. 10.1016/j.jenvman.2024.120251
74. Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections E. Forootan et al. 10.1016/j.scitotenv.2018.09.231
75. AI-driven U.S. drought prediction using machine learning and deep learning I. Tanriverdi & İ. Batmaz 10.1007/s00382-025-07720-w
76. Evaluation analysis of NASA SMAP L3 and L4 and SPoRT-LIS soil moisture data in the United States A. Tavakol et al. 10.1016/j.rse.2019.05.006
77. Prediction of Severe Drought Area Based on Random Forest: Using Satellite Image and Topography Data H. Park et al. 10.3390/w11040705
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81. Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China Y. Wang et al. 10.3390/w11040767
82. Probabilistic Forecasting of Drought Events Using Markov Chain- and Bayesian Network-Based Models: A Case Study of an Andean Regulated River Basin A. Avilés et al. 10.3390/w8020037
83. Understanding the interactions between meteorological and soil moisture drought over Indian region P. Das et al. 10.1007/s12040-020-01460-7
84. A parametric multivariate drought index for drought monitoring and assessment under climate change L. Xu et al. 10.1016/j.agrformet.2021.108657
85. Transitional properties of droughts and related impacts of climate indices in the Pearl River basin, China M. Xiao et al. 10.1016/j.jhydrol.2016.01.012
86. Sub-seasonal soil moisture anomaly forecasting using combinations of deep learning, based on the reanalysis soil moisture records X. Wang et al. 10.1016/j.agwat.2024.108772
87. Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning J. Li et al. 10.1029/2020WR029413
88. Entropy-weight-based spatiotemporal drought assessment using MODIS products and Sentinel-1A images in Urumqi, China X. Tang et al. 10.1007/s11069-023-06131-6
89. Managing climate risks on the ranch with limited drought information T. Shrum et al. 10.1016/j.crm.2018.01.002
90. Identifying Key Driving Processes of Major Recent Heat Waves K. Wehrli et al. 10.1029/2019JD030635
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124. Spatiotemporal drought monitoring using bottom-up precipitation dataset (SM2RAIN-ASCAT) over different regions of Iran S. Koohi et al. 10.1016/j.scitotenv.2021.146535
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129. Monitoring the drought in Southern Africa from space-borne GNSS-R and SMAP data K. Edokossi et al. 10.1007/s11069-024-06546-9
130. Multi-datasets to monitor and assess meteorological and hydrological droughts in a typical basin of the Brazilian semiarid region G. da Silva et al. 10.1007/s10661-024-12461-0