103 citations as recorded by crossref.

1. Identification and Risk Characteristics of Agricultural Drought Disaster Events Based on the Copula Function in Northeast China S. Zhang et al. 10.3390/atmos13081234
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5. Responses of compound daytime and nighttime warm-dry and warm-humid events to individual anthropogenic forcings F. Chiang et al. 10.1088/1748-9326/ac80ce
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7. Passive Microwave Remote Sensing Soil Moisture Data in Agricultural Drought Monitoring: Application in Northeastern China T. Cheng et al. 10.3390/w13192777
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17. Concurrent Precipitation Extremes Modulate the Response of Rice Transplanting Date to Preseason Temperature Extremes in China Y. Liu et al. 10.1029/2022EF002888
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21. Risk Assessment of Compound Dry–Hot Events for Maize in Liaoning Province R. Wang et al. 10.3390/atmos15070834
22. Standardised indices to monitor energy droughts S. Allen & N. Otero 10.1016/j.renene.2023.119206
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24. Warming Overwhelms the Efficacy of Wet Conditions to Moderate Extreme Heat and Atmospheric Aridity Across the Central Plains F. Chiang et al. 10.1029/2023GL102939
25. Assessment of Long-Term Streamflow Response to Flash Drought in the São Francisco River Basin over the Last Three Decades (1991–2020) H. Barbosa & C. Buriti 10.3390/w16162271
26. Prolongation of Compound Dry–Hot Seasons Over Europe Under Climate Change Scenarios O. Lhotka et al. 10.1029/2023EF003557
27. Drought stress and its characteristics in China from 2001 to 2020 considering vegetation response and drought creep effect G. Yin et al. 10.1016/j.ejrh.2024.101763
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30. Historical changes in the Causal Effect Networks of compound hot and dry extremes in central Europe Y. Tian et al. 10.1038/s43247-024-01934-2
31. Multi‐index characterization of compound dry hot events in India A. Prabhakar et al. 10.1002/joc.8203
32. Changes and driving factors of compound agricultural droughts and hot events in eastern China Y. Zhang et al. 10.1016/j.agwat.2022.107485
33. Climate and landuse change enhance spatio-temporal variability of Dongjiang river flow and ammonia nitrogen J. Jiang et al. 10.1016/j.scitotenv.2023.161483
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41. The optimal time-scale of Standardized Precipitation Index for early identifying summer maize drought in the Huang-Huai-Hai region, China Y. Zhang et al. 10.1016/j.ejrh.2023.101350
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44. Trend analysis of hydrological and meteorological drought in Apa Dam, Türkiye T. Tuğrul & M. Hinis 10.1007/s12665-024-11791-z
45. Spatial-temporal evolution of compound dry-hot events and their effects on vegetation vulnerability in Inner Mongolia Grassland R. Wu & B. Liu 10.1016/j.gecco.2024.e03105
46. The role of climate change and urban development on compound dry-hot extremes across US cities M. Ghanbari et al. 10.1038/s41467-023-39205-x
47. Increasing Risks of Future Compound Climate Extremes With Warming Over Global Land Masses H. Wu et al. 10.1029/2022EF003466
48. Development of a novel daily-scale compound dry and hot index and its application across seven climatic regions of China H. Wang et al. 10.1016/j.atmosres.2023.106700
49. Land suitability and crop water requirements for irrigated sugar cane in the Kuraz irrigation scheme, lower Omo basin, Ethiopia A. Gelalacha et al. 10.1002/ird.2920
50. More frequent, long-lasting, extreme and postponed compound drought and hot events in eastern China M. Liu et al. 10.1016/j.jhydrol.2022.128499
51. The characteristic of compound drought and saltwater intrusion events in the several major river estuaries worldwide D. Li et al. 10.1016/j.jenvman.2023.119659
52. The responses of ecological indicators to compound extreme climate indices in Southwestern China Q. Lu et al. 10.1016/j.ecolind.2023.111253
53. Land use land cover change as a casual factor for climate variability and trends in the Bilate Watershed, Ethiopia S. Bikeko & V. E. 10.1007/s10661-024-13435-y
54. Dominant modes of interannual variability in spring compound dry and hot events over Northern Asia and the possible mechanisms J. Wang et al. 10.1016/j.atmosres.2024.107688
55. Hydroclimatic extremes contribute to asymmetric trends in ecosystem productivity loss J. Li et al. 10.1038/s43247-023-00869-4
56. Hazard Assessment and Hazard Mapping for Kuwait A. Al-Hemoud et al. 10.1007/s13753-023-00473-2
57. Sensitivity of Vegetation Productivity to Extreme Droughts across the Yunnan Plateau, China C. Lin et al. 10.3390/atmos14061026
58. Spatial evaluation of surface water irrigation potential areas to improve rural crop productivity in the Gomma district, southwestern Ethiopia A. Mitiku et al. 10.1080/23311932.2024.2328424
59. Impact of water resources pricing mechanism on global agricultural economy based on CGE model B. Liu & Y. Liang 10.2166/ws.2023.096
60. A Novel Standardized Drought and Flood Potential Index Based on Reconstructed Daily GRACE Data J. Xiong et al. 10.1175/JHM-D-22-0011.1
61. Spatiotemporal Variations in Meteorological Drought Across the Mediterranean Region of Turkey D. Soylu Pekpostalci et al. 10.1007/s00024-023-03312-z
62. +Dynamic identification and risk analysis of compound dry-hot events considering nonstationarity P. Xu et al. 10.1016/j.jhydrol.2022.128852
63. 我国各大流域复合高温干旱事件变化趋势与归因分析 少. 熊 et al. 10.1360/SSTe-2022-0414
64. Compound successive dry-hot and wet extremes in China with global warming and urbanization K. He et al. 10.1016/j.jhydrol.2024.131332
65. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. 10.1016/j.earscirev.2022.104241
66. DFEAT: A multifaceted yearly Drought FEature Assessment Tool from daily soil water content G. Elias et al. 10.1016/j.jhydrol.2024.131700
67. Escalating hot-dry extremes in Southwest China Karst S. Peng et al. 10.1016/j.ejrh.2024.101838
68. Compound climate extremes over the globe during 1951–2021: Changes in risk and driving factors H. Wu et al. 10.1016/j.jhydrol.2023.130387
69. Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning J. Li et al. 10.1029/2020WR029413
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71. Global Seasonal-Scale Meteorological Droughts. Part II: Temperature Anomaly-Based Classifications Z. Liu & W. Zhou 10.34133/olar.0017
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73. Construction and Application of Dynamic Threshold Model for Agricultural Drought Grades Based on Near-Infrared and Short-Wave Infrared Bands for Spring Maize X. Wu et al. 10.3390/rs16173260
74. Early summer temperature anomalies and potential impacts on achieving Sustainable Development Goals (SDGs) in National Capital Region (NCR) of India S. Mahato et al. 10.1016/j.uclim.2023.101705
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77. 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
78. Hydrogeochemical characteristics and fluoride status of groundwater in dry drone region of Virudhunagar district, Tamilnadu, India G. Oorkavalan et al. 10.1007/s10668-023-03688-x
79. Optimized Main Ditch Water Control for Agriculture in Northern Huaihe River Plain, Anhui Province, China, Using MODFLOW Groundwater Table Simulations R. Tang et al. 10.3390/w14010029
80. Spatial-temporal variations and drivers of the compound dry-hot event in China Y. Hu et al. 10.1016/j.atmosres.2023.107160
81. Evaporation-Assisted Humidification–Dehumidification Cycles for Desalination Application in Tropical and Subtropical Regions M. Mohammed et al. 10.3390/w15061125
82. Changes in compound drought-heat events over Brazil’s Pantanal wetland: an assessment using remote sensing data and multiple drought indicators A. Cunha et al. 10.1007/s00382-023-06937-x
83. Assessing the generalization of forecasting ability of machine learning and probabilistic models for complex climate characteristics A. Batool et al. 10.1007/s00477-024-02721-3
84. Daily dynamic thresholds of different agricultural drought grades for summer maize based on the Vegetation Water Index Y. Zhang et al. 10.1016/j.jhydrol.2023.130070
85. The Spatiotemporal Variation Characteristics and Impacts of Summer Heatwaves, Droughts, and Compound Drought and Heatwave Events in Jiangsu Province, China W. Wang et al. 10.3390/w16010089
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92. Heatwave Duration and Heating Rate in a Non‐Stationary Climate: Spatiotemporal Pattern and Key Drivers F. Chitsaz et al. 10.1029/2023EF003995
93. Evaluating the emerging adsorbents for water production potential and thermodynamic limits of adsorption-based atmospheric water harvesting systems M. Aleem et al. 10.1016/j.icheatmasstransfer.2023.106863
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101. Comprehensive Drought Vulnerability Assessment in Northwestern Odisha: A Fuzzy Logic and Analytical Hierarchy Process Integration Approach S. Mahato et al. 10.3390/w15183210
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