153 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. https://doi.org/10.3390/atmos13081234
2. Climatic variables impact on inland lakes water levels and area fluctuations in an arid/semi-arid region of Iran, Iraq, and Turkey based on the remote sensing data I. Rousta et al. https://doi.org/10.1007/s12145-023-00995-9
3. Spatio-temporal patterns of compound dry-hot extremes in China C. Zhou et al. https://doi.org/10.1016/j.atmosres.2024.107795
4. Evaluation of Machine Learning Techniques for Hydrological Drought Modeling: A Case Study of the Wadi Ouahrane Basin in Algeria M. Achite et al. https://doi.org/10.3390/w14030431
5. Responses of compound daytime and nighttime warm-dry and warm-humid events to individual anthropogenic forcings F. Chiang et al. https://doi.org/10.1088/1748-9326/ac80ce
6. Delineating the predominant impact of rising temperature on the enhancement of severity in compound drought-hot events in China: An empirical Copula and path analysis-based approach X. Xiang et al. https://doi.org/10.1016/j.ejrh.2024.101769
7. Passive Microwave Remote Sensing Soil Moisture Data in Agricultural Drought Monitoring: Application in Northeastern China T. Cheng et al. https://doi.org/10.3390/w13192777
8. Standardised Indices to Monitor Energy Droughts S. Allen & N. Otero Felipe https://doi.org/10.2139/ssrn.4312835
9. Spatiotemporal characterization and hydrological impact of drought patterns in northwestern Morocco L. Ait Dhmane et al. https://doi.org/10.3389/frwa.2024.1463748
10. Konya Apa Barajı Havzasında Meteorolojik ve Hidrolojik Kuraklık Trend Analizi T. Tuğrul & M. Hınıs https://doi.org/10.7212/karaelmasfen.1203887
11. Standardized compound drought and heatwave index: A new compound drought and heatwave events monitoring index considering evapotranspiration effects S. Cao et al. https://doi.org/10.1016/j.jag.2025.105023
12. Assessing the bioenergy potential of abandoned cropland in China: Toward an optimal distribution of bioenergy crops J. Wang et al. https://doi.org/10.1016/j.esd.2024.101590
13. Europe’s Double Threat: Evolving patterns of compound heatwaves and droughts S. Mathbout et al. https://doi.org/10.1016/j.jag.2025.104987
14. A daily drought index based on evapotranspiration and its application in regional drought analyses X. Zhang et al. https://doi.org/10.1007/s11430-021-9822-y
15. VMD-GP: A New Evolutionary Explicit Model for Meteorological Drought Prediction at Ungauged Catchments A. Danandeh Mehr et al. https://doi.org/10.3390/w15152686
16. A three-dimensional Copula-based standardized temperature precipitation evapotranspiration water storage index for comprehensive drought monitoring X. Huang et al. https://doi.org/10.1016/j.jhydrol.2025.133898
17. Projecting shifts in drought-induced thresholds for wheat yield loss under climate change in southeastern Australia K. Xiang et al. https://doi.org/10.1016/j.agrformet.2025.111003
18. A Joint Evaluation of Streamflow Drought and Standard Precipitation Indices in Aegean Region, Turkey A. Gulmez et al. https://doi.org/10.1007/s00024-023-03378-9
19. Projected increase in global compound agricultural drought and hot events under climate change W. Shi et al. https://doi.org/10.1016/j.gloplacha.2025.104962
20. The Joint Occurrence Probability of Compound Drought and Heatwaves: A Copula‐Based Multivariate Analysis of Duration and Severity in China X. Li et al. https://doi.org/10.1002/joc.70176
21. Damming effects on hydrological abundance and eco-hydrological alteration in upstream wetlands of Eastern Himalaya S. Mahato et al. https://doi.org/10.1016/j.jclepro.2023.138089
22. Observed and CMIP6 simulated occurrence and intensity of compound agroclimatic extremes over maize harvested areas in China Z. Li et al. https://doi.org/10.1016/j.wace.2022.100503
23. Climate Change Determines Future Population Exposure to Summertime Compound Dry and Hot Events G. Zhang et al. https://doi.org/10.1029/2022EF003015
24. Review article: The growth in compound weather and climate event research in the decade since SREX L. Brett et al. https://doi.org/10.5194/nhess-25-2591-2025
25. Evaluating the impact of drought-vegetation loss coupling on eco-hydrological stability in the Yellow River Basin, China C. Du et al. https://doi.org/10.1016/j.jhydrol.2025.133823
26. Fine-Resolution Multivariate Drought Analysis for Southwestern Türkiye Under SSP3-7.0 Scenario C. Sonuç et al. https://doi.org/10.3390/agriculture15242605
27. A New Data‐Light Winter–Summer Severity Index (WSSI): Methodological Approach and Application in 15 European Cities H. Aksu et al. https://doi.org/10.1002/joc.70427
28. Concurrent Precipitation Extremes Modulate the Response of Rice Transplanting Date to Preseason Temperature Extremes in China Y. Liu et al. https://doi.org/10.1029/2022EF002888
29. Construction and performance evaluation of a compound high-temperature and drought index for summer in Southwest China J. Huang et al. https://doi.org/10.1007/s11069-026-08252-0
30. Dynamic hazard assessment of compound drought and heat events in maize based on a soil-temperature-integrated index in Songliao Plain X. Lu et al. https://doi.org/10.1016/j.eja.2026.127984
31. Comparisons of changes in compound dry and hot events in China based on different drought indicators Y. Zhang et al. https://doi.org/10.1002/joc.7698
32. Observational analysis of long-term streamflow response to flash drought in the Mississippi River Basin S. Bakar et al. https://doi.org/10.1016/j.wace.2025.100762
33. Spatiotemporal climate variability and its impact on local community livelihoods: A focus on crop production in Metekel Zone, Northwest Ethiopia T. Wahelo et al. https://doi.org/10.1016/j.jafr.2025.102159
34. Extreme drought-heatwave exacerbates water quality deterioration in China J. Jiang et al. https://doi.org/10.1016/j.ecolind.2024.113008
35. From Mountains to Basins: Asymmetric Ecosystem Vulnerability and Adaptation to Extreme Climate Events in Southwestern China Q. Lu et al. https://doi.org/10.3390/rs17030392
36. Quantifying long-term drought in China’s exorheic basins using a novel daily GRACE reconstructed TWSA index S. Yang et al. https://doi.org/10.1016/j.jhydrol.2025.132919
37. A Review of Data for Compound Drought and Heatwave Stress Impacts on Crops: Current Progress, Knowledge Gaps, and Future Pathways Y. Li et al. https://doi.org/10.3390/plants14142158
38. High effectiveness of GRACE data in daily-scale flood modeling: case study in the Xijiang River Basin, China J. Xiong et al. https://doi.org/10.1007/s11069-022-05312-z
39. Risk Assessment of Compound Dry–Hot Events for Maize in Liaoning Province R. Wang et al. https://doi.org/10.3390/atmos15070834
40. Standardised indices to monitor energy droughts S. Allen & N. Otero https://doi.org/10.1016/j.renene.2023.119206
41. Extreme Meteorological Drought Events over China (1951–2022): Migration Patterns, Diversity of Temperature Extremes, and Decadal Variations Z. Liu et al. https://doi.org/10.1007/s00376-024-4004-2
42. Warming Overwhelms the Efficacy of Wet Conditions to Moderate Extreme Heat and Atmospheric Aridity Across the Central Plains F. Chiang et al. https://doi.org/10.1029/2023GL102939
43. A substantial reduction of total and group-specific population risk to compound heat and drought events in China through achieving carbon neutrality J. Chen et al. https://doi.org/10.1016/j.jclepro.2025.144694
44. 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 https://doi.org/10.3390/w16162271
45. Prolongation of Compound Dry–Hot Seasons Over Europe Under Climate Change Scenarios O. Lhotka et al. https://doi.org/10.1029/2023EF003557
46. Drought stress and its characteristics in China from 2001 to 2020 considering vegetation response and drought creep effect G. Yin et al. https://doi.org/10.1016/j.ejrh.2024.101763
47. Intensified compound drought and heat events in typical arid-semiarid transition region over the last four decades based on a daily-scale index S. Ji et al. https://doi.org/10.1016/j.scitotenv.2025.180541
48. Glo3DHydroClimEventSet(v1.0): A global‐scale event set of hydroclimatic extremes detected with the 3D DBSCAN‐based workflow (1951–2022) Z. Liu & W. Zhou https://doi.org/10.1002/joc.8289
49. Application of a hybrid ARIMA-LSTM model based on the SPEI for drought forecasting D. Xu et al. https://doi.org/10.1007/s11356-021-15325-z
50. Historical changes in the Causal Effect Networks of compound hot and dry extremes in central Europe Y. Tian et al. https://doi.org/10.1038/s43247-024-01934-2
51. Impact of compound drought--heat stress on Mongolian Scots pine growth: A Copula-based analysis across precipitation gradients B. Du et al. https://doi.org/10.1016/j.dendro.2025.126346
52. Multi‐index characterization of compound dry hot events in India A. Prabhakar et al. https://doi.org/10.1002/joc.8203
53. Changes and driving factors of compound agricultural droughts and hot events in eastern China Y. Zhang et al. https://doi.org/10.1016/j.agwat.2022.107485
54. Climate and landuse change enhance spatio-temporal variability of Dongjiang river flow and ammonia nitrogen J. Jiang et al. https://doi.org/10.1016/j.scitotenv.2023.161483
55. Investigating Compound Drought and Hot Extreme Events in Southeast Asia Through Copula Analysis L. Liu & X. Qin https://doi.org/10.1002/joc.8773
56. Effect difference of climate change and urbanization on extreme precipitation over the Guangdong-Hong Kong-Macao Greater Bay Area Z. Deng et al. https://doi.org/10.1016/j.atmosres.2022.106514
57. Assessment of changes in severity of compound drought and saltwater intrusion events based on a multi‐index approach in Pearl River estuary D. Li et al. https://doi.org/10.1002/hyp.14986
58. Spatiotemporal Evolution of Compound Dry–Hot Events and Their Impacts on Vegetation Net Primary Productivity in the Yangtze River Basin H. Xi et al. https://doi.org/10.3390/w18020276
59. Review article: Towards multi-hazard and multi-risk indicators – a review and recommendations for development and implementation C. White et al. https://doi.org/10.5194/nhess-25-4263-2025
60. Temperature drives the variations in cropland exposure to compound drought and heatwave events under future climate in Northeast China C. Zhang et al. https://doi.org/10.1016/j.geosus.2025.100292
61. Development of co-integrated standardized procedure for the joint monitoring, forecasting and probabilistic characterization of climate extremes under global climate models A. Batool et al. https://doi.org/10.1007/s00704-026-06089-y
62. Mitigating Drought Conditions under Climate and Land Use Changes by Applying Hedging Rules for the Multi-Reservoir System Z. Li et al. https://doi.org/10.3390/w13213095
63. Variability of Summer Drought and Heatwave Events in Northeast China R. Wang et al. https://doi.org/10.3390/su17146569
64. Retrieving Eutrophic Water in Highly Urbanized Area Coupling UAV Multispectral Data and Machine Learning Algorithms D. Wu et al. https://doi.org/10.3390/w15020354
65. Determination of complementary irrigation times for rainfed cultivation based on biomass optimization and soil erosion index in Yellow River Valley X. Li et al. https://doi.org/10.2166/ws.2023.122
66. Cluster Analysis and Atmospheric Circulation Features of Springtime Compound Dry-Hot Events in the Pearl River Basin R. Duan et al. https://doi.org/10.3390/atmos16050516
67. Attributions of Evapotranspiration and Gross Primary Production Changes in Semi-Arid Region: A Case Study in the Water Source Area of the Xiong’an New Area in North China S. Zeng et al. https://doi.org/10.3390/rs14051187
68. Artificial Intelligence Forecasting of Marine Heatwaves in the South China Sea Using a Combined U-Net and ConvLSTM System W. Sun et al. https://doi.org/10.3390/rs15164068
69. Quantification of dynamic risks from compound droughts and hot events incorporating multi-characteristics at finer resolutions in China Y. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134509
70. 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. https://doi.org/10.1016/j.ejrh.2023.101350
71. Spatial Evolution Characteristics and Driving Factors of Compound Droughts in Karst Regions of Southwest China: A Copula-Based Study M. Chu et al. https://doi.org/10.3390/w18111275
72. Effects of different cropping systems on ammonia nitrogen load in a typical agricultural watershed of South China J. Jiang et al. https://doi.org/10.1016/j.jconhyd.2022.103963
73. Strengthened tropical cyclones and higher flood risk under compound effect of climate change and urbanization across China's Greater Bay Area Z. Deng et al. https://doi.org/10.1016/j.uclim.2022.101224
74. Trend analysis of hydrological and meteorological drought in Apa Dam, Türkiye T. Tuğrul & M. Hinis https://doi.org/10.1007/s12665-024-11791-z
75. Spatial-temporal evolution of compound dry-hot events and their effects on vegetation vulnerability in Inner Mongolia Grassland R. Wu & B. Liu https://doi.org/10.1016/j.gecco.2024.e03105
76. The role of climate change and urban development on compound dry-hot extremes across US cities M. Ghanbari et al. https://doi.org/10.1038/s41467-023-39205-x
77. Increasing Risks of Future Compound Climate Extremes With Warming Over Global Land Masses H. Wu et al. https://doi.org/10.1029/2022EF003466
78. Development of a novel daily-scale compound dry and hot index and its application across seven climatic regions of China H. Wang et al. https://doi.org/10.1016/j.atmosres.2023.106700
79. Land suitability and crop water requirements for irrigated sugar cane in the Kuraz irrigation scheme, lower Omo basin, Ethiopia A. Gelalacha et al. https://doi.org/10.1002/ird.2920
80. Forecasting compound drought-heatwaves using Burg entropy spectral analysis with multi-frequency resolutions J. Han et al. https://doi.org/10.1016/j.jhydrol.2025.133166
81. More frequent, long-lasting, extreme and postponed compound drought and hot events in eastern China M. Liu et al. https://doi.org/10.1016/j.jhydrol.2022.128499
82. The characteristic of compound drought and saltwater intrusion events in the several major river estuaries worldwide D. Li et al. https://doi.org/10.1016/j.jenvman.2023.119659
83. The responses of ecological indicators to compound extreme climate indices in Southwestern China Q. Lu et al. https://doi.org/10.1016/j.ecolind.2023.111253
84. Land use land cover change as a casual factor for climate variability and trends in the Bilate Watershed, Ethiopia S. Bikeko & V. E. https://doi.org/10.1007/s10661-024-13435-y
85. Dominant modes of interannual variability in spring compound dry and hot events over Northern Asia and the possible mechanisms J. Wang et al. https://doi.org/10.1016/j.atmosres.2024.107688
86. Hydroclimatic extremes contribute to asymmetric trends in ecosystem productivity loss J. Li et al. https://doi.org/10.1038/s43247-023-00869-4
87. Hazard Assessment and Hazard Mapping for Kuwait A. Al-Hemoud et al. https://doi.org/10.1007/s13753-023-00473-2
88. Sensitivity of Vegetation Productivity to Extreme Droughts across the Yunnan Plateau, China C. Lin et al. https://doi.org/10.3390/atmos14061026
89. Spatial evaluation of surface water irrigation potential areas to improve rural crop productivity in the Gomma district, southwestern Ethiopia A. Mitiku et al. https://doi.org/10.1080/23311932.2024.2328424
90. From compound climate risks to adaptive governance: Sectoral economic exposure to heat-drought compound events in coastal China J. Chen et al. https://doi.org/10.1016/j.ocecoaman.2025.107755
91. Impact of water resources pricing mechanism on global agricultural economy based on CGE model B. Liu & Y. Liang https://doi.org/10.2166/ws.2023.096
92. A Novel Standardized Drought and Flood Potential Index Based on Reconstructed Daily GRACE Data J. Xiong et al. https://doi.org/10.1175/JHM-D-22-0011.1
93. Spatiotemporal Variations in Meteorological Drought Across the Mediterranean Region of Turkey D. Soylu Pekpostalci et al. https://doi.org/10.1007/s00024-023-03312-z
94. +Dynamic identification and risk analysis of compound dry-hot events considering nonstationarity P. Xu et al. https://doi.org/10.1016/j.jhydrol.2022.128852
95. 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. https://doi.org/10.1360/SSTe-2022-0414
96. Compound successive dry-hot and wet extremes in China with global warming and urbanization K. He et al. https://doi.org/10.1016/j.jhydrol.2024.131332
97. Compound droughts and hot extremes: Characteristics, drivers, changes, and impacts Z. Hao et al. https://doi.org/10.1016/j.earscirev.2022.104241
98. DFEAT: A multifaceted yearly Drought FEature Assessment Tool from daily soil water content G. Elias et al. https://doi.org/10.1016/j.jhydrol.2024.131700
99. Escalating hot-dry extremes in Southwest China Karst S. Peng et al. https://doi.org/10.1016/j.ejrh.2024.101838
100. Compound climate extremes over the globe during 1951–2021: Changes in risk and driving factors H. Wu et al. https://doi.org/10.1016/j.jhydrol.2023.130387
101. Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning J. Li et al. https://doi.org/10.1029/2020WR029413
102. Unraveling the nonstationary effect of climate change and urbanization on summer drought-heatwave coupling degree in Beijing-Tianjin-Hebei Area, China X. Xiang et al. https://doi.org/10.1016/j.ejrh.2025.102944
103. Decline in net primary productivity caused by severe droughts: evidence from the Pearl River basin in China Y. Zhou & P. Zhou https://doi.org/10.2166/nh.2021.061
104. Dheed: an ERA5 based global database of compound dry and hot extreme events from 1950 to 2023 M. Weynants et al. https://doi.org/10.5194/essd-17-6621-2025
105. Global Seasonal-Scale Meteorological Droughts. Part II: Temperature Anomaly-Based Classifications Z. Liu & W. Zhou https://doi.org/10.34133/olar.0017
106. An improved adaptive neuro-fuzzy inference system for hydrological drought prediction in Algeria M. Achite et al. https://doi.org/10.1016/j.pce.2023.103451
107. 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. https://doi.org/10.3390/rs16173260
108. Leveraging emergent constraints to reduce uncertainty in future compound drought and heatwave events across mainland China M. Wu et al. https://doi.org/10.1016/j.jhydrol.2025.133551
109. Intensification of Compound Extreme Drought and Hot Events in Tibet: Insights from a Novel Compound Framework Y. Ran et al. https://doi.org/10.1007/s41748-025-00992-6
110. Early summer temperature anomalies and potential impacts on achieving Sustainable Development Goals (SDGs) in National Capital Region (NCR) of India S. Mahato et al. https://doi.org/10.1016/j.uclim.2023.101705
111. Prediction of the standardized compound drought and heat index in regional scale based on multiple deep learning approaches Z. Lu et al. https://doi.org/10.1007/s11356-026-37631-0
112. Multiple asynchronous drought facets drive Mediterranean natural and cultivated ecosystems G. Elias et al. https://doi.org/10.1016/j.scitotenv.2025.178990
113. Developing a novel framework to re-examine half a century of compound drought and heatwave events in mainland China L. Zhao et al. https://doi.org/10.1016/j.scitotenv.2023.162366
114. Amplification of non-stationary drought to heatwave duration and intensity in eastern China: Spatiotemporal pattern and causes Y. Bian et al. https://doi.org/10.1016/j.jhydrol.2022.128154
115. Assessment of land suitability and crop water requirements for irrigated sugarcane in the Kuraz Irrigation Scheme, Lower Omo Basin, Ethiopia M. Haile & A. Gelalcha https://doi.org/10.1080/24749508.2025.2451448
116. Generating High-Resolution and Long-Term SPEI Dataset over Southwest China through Downscaling EEAD Product by Machine Learning R. Fu et al. https://doi.org/10.3390/rs14071662
117. Hydrogeochemical characteristics and fluoride status of groundwater in dry drone region of Virudhunagar district, Tamilnadu, India G. Oorkavalan et al. https://doi.org/10.1007/s10668-023-03688-x
118. Optimized Main Ditch Water Control for Agriculture in Northern Huaihe River Plain, Anhui Province, China, Using MODFLOW Groundwater Table Simulations R. Tang et al. https://doi.org/10.3390/w14010029
119. Homogenization or divide? A grid-cell analysis of China's socioeconomic exposure to extreme climates across the Hu Line for policy implications Y. Wei et al. https://doi.org/10.1016/j.scs.2026.107316
120. Spatial-temporal variations and drivers of the compound dry-hot event in China Y. Hu et al. https://doi.org/10.1016/j.atmosres.2023.107160
121. Evaporation-Assisted Humidification–Dehumidification Cycles for Desalination Application in Tropical and Subtropical Regions M. Mohammed et al. https://doi.org/10.3390/w15061125
122. 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. https://doi.org/10.1007/s00382-023-06937-x
123. Assessing the generalization of forecasting ability of machine learning and probabilistic models for complex climate characteristics A. Batool et al. https://doi.org/10.1007/s00477-024-02721-3
124. Regional Disparity in Impacts of Compound Heat and Drought Extremes on Population and Major Crops Across China X. Cheng et al. https://doi.org/10.1007/s13753-026-00707-z
125. Revisiting spatio-temporal variation in compound dry-hot extreme events in China with newly developed nonstationary index C. Zhao et al. https://doi.org/10.1016/j.atmosres.2025.108111
126. Daily dynamic thresholds of different agricultural drought grades for summer maize based on the Vegetation Water Index Y. Zhang et al. https://doi.org/10.1016/j.jhydrol.2023.130070
127. The Spatiotemporal Variation Characteristics and Impacts of Summer Heatwaves, Droughts, and Compound Drought and Heatwave Events in Jiangsu Province, China W. Wang et al. https://doi.org/10.3390/w16010089
128. Substantially increased risk of elderly to compound heat and drought events in coastal China under 1.5 °C–3.0 °C warming scenarios J. Chen et al. https://doi.org/10.1016/j.ijdrr.2025.105575
129. Leveraging external atmospheric conditions to enhance the drought predictability over the Vietnamese Mekong Delta K. Zhou et al. https://doi.org/10.1016/j.agwat.2025.110035
130. Compound dry and hot extremes: A review and future research pathways for India R. Guntu & A. Agarwal https://doi.org/10.1016/j.jhydrol.2024.131199
131. Compound drought and heat waves variation and association with SST modes across China X. Pan et al. https://doi.org/10.1016/j.scitotenv.2023.167934
132. Regional asymmetry in the response of global vegetation growth to springtime compound climate events J. Li et al. https://doi.org/10.1038/s43247-022-00455-0
133. Spatial-temporal evolution and intrinsic drivers of compound drought and heatwave events in Mainland China P. Shi et al. https://doi.org/10.1016/j.scitotenv.2024.174834
134. Propagation process‐based agricultural drought typology and its copula‐based risk L. Li et al. https://doi.org/10.1002/ird.2966
135. Evaluation energy flow and analysis of energy economy for agricultural yield production in different geographical regions of China K. Li https://doi.org/10.2166/ws.2023.261
136. Sub-seasonal prediction of compound hot and dry extremes in India I. Malik & V. Mishra https://doi.org/10.1007/s00382-025-07668-x
137. Heatwave Duration and Heating Rate in a Non‐Stationary Climate: Spatiotemporal Pattern and Key Drivers F. Chitsaz et al. https://doi.org/10.1029/2023EF003995
138. Early summer warming amplification threats towards sustainable development goals (SDGs) in India S. Mahato et al. https://doi.org/10.1016/j.ecoinf.2025.103156
139. Evaluating the emerging adsorbents for water production potential and thermodynamic limits of adsorption-based atmospheric water harvesting systems M. Aleem et al. https://doi.org/10.1016/j.icheatmasstransfer.2023.106863
140. Projections and uncertainty analysis of socioeconomic exposure to compound dry and hot events under 1.5℃ and 2.0℃ warming levels across China G. Zhang et al. https://doi.org/10.1007/s00704-024-05085-4
141. Spatiotemporal Evolution Characteristics of Summer Dry-Heat Compound Events in Liaoning Province X. Bai et al. https://doi.org/10.3390/atmos17010022
142. Spatiotemporal Estimation of Reference Evapotranspiration for Agricultural Applications in Punjab, Pakistan H. Ashraf et al. https://doi.org/10.3390/agriculture13071388
143. A generalized procedure for joint monitoring and probabilistic quantification of extreme climate events at regional level A. Batool et al. https://doi.org/10.1007/s10661-023-11717-5
144. Detection and Attribution of Changes in Summer Compound Hot and Dry Events over Northeastern China with CMIP6 Models W. Li et al. https://doi.org/10.1007/s13351-022-1112-8
145. Evaluation of NASA POWER and ERA5-Land for estimating tropical precipitation and temperature extremes M. Tan et al. https://doi.org/10.1016/j.jhydrol.2023.129940
146. A novel multivariate multiscale index for drought-flood abrupt alternations: Considering precipitation, evapotranspiration, and soil moisture X. Bai et al. https://doi.org/10.1016/j.jhydrol.2024.132039
147. A multivariate copula framework quantifies the augmenting joint risks of compound high temperature and dry/wet events under climate change in China M. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.134321
148. Widespread declining sensitivity of terrestrial gross primary productivity to compound dry-hot extremes in China W. Shi et al. https://doi.org/10.1016/j.jhydrol.2025.133387
149. Monitoring drought in ungauged areas using satellite altimetry: The Standardized River Stage Index R. Zhong et al. https://doi.org/10.1016/j.jhydrol.2022.128308
150. Comprehensive Drought Vulnerability Assessment in Northwestern Odisha: A Fuzzy Logic and Analytical Hierarchy Process Integration Approach S. Mahato et al. https://doi.org/10.3390/w15183210
151. Multisource Data and Explainable Machine Learning for Monitoring Compound Drought and Heat Events at Fine Scale in a Typical Arid and Semiarid Region G. Liu et al. https://doi.org/10.1109/TGRS.2025.3620867
152. Long‐range precipitation forecast based on multipole and preceding fluctuations of sea surface temperature X. Wu et al. https://doi.org/10.1002/joc.7690
153. Spatiotemporal Evaluation of Land Use Land Cover Change in Jemma Sub-Basin, Upper Blue Nile Basin, Ethiopia A. Cherinet et al. https://doi.org/10.2478/jlecol-2026-0030