123 citations as recorded by crossref.

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4. Simultaneous Monitoring of Different Drought Types Using Linear and Nonlinear Combination Approaches Z. Hosseini et al. 10.1007/s11269-022-03418-4
5. Can multiscalar meteorological drought indices detect soil moisture droughts? A study of Indian regions P. Das et al. 10.1080/02626667.2021.1942475
6. Monitoring water storage decline over the Middle East M. Khaki & I. Hoteit 10.1016/j.jhydrol.2021.127166
7. Drought Monitoring and Evaluation by ESA CCI Soil Moisture Products Over the Yellow River Basin L. Zhang et al. 10.1109/JSTARS.2019.2934732
8. Assessment of global meteorological, hydrological and agricultural drought under future warming based on CMIP6 J. Zeng et al. 10.1016/j.aosl.2021.100143
9. Drought Occurrence Probability Analysis Using Multivariate Standardized Drought Index and Copula Function Under Climate Change K. Naderi et al. 10.1007/s11269-022-03186-1
10. Comparing Agriculture‐Related Characteristics of Flash and Normal Drought Reveals Heterogeneous Crop Response S. Ho et al. 10.1029/2023WR034994
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24. Multi-type assessment of global droughts and teleconnections Z. Nikraftar et al. 10.1016/j.wace.2021.100402
25. High Resolution Forecasting of Summer Drought in the Western United States R. Abolafia‐Rosenzweig et al. 10.1029/2022WR033734
26. 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
27. Can limits of plant available water be inferred from soil moisture distributions? M. Kukal & S. Irmak 10.1002/ael2.20113
28. Remote sensing of drought: Progress, challenges and opportunities A. AghaKouchak et al. 10.1002/2014RG000456
29. Projecting meteorological, hydrological and agricultural droughts for the Yangtze River basin F. Sun et al. 10.1016/j.scitotenv.2019.134076
30. 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
31. 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
32. 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
33. Future hydro-meteorological drought of the Johor River Basin, Malaysia, based on CORDEX-SEA projections M. Tan et al. 10.1080/02626667.2019.1612901
34. 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
35. High resolution monitoring and probabilistic prediction of meteorological drought in a Mediterranean environment M. Torres-Vázquez et al. 10.1016/j.wace.2023.100558
36. Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change S. Vicente‐Serrano et al. 10.1002/wcc.632
37. Drought impacts on hydrology and water quality under climate change J. Qiu et al. 10.1016/j.scitotenv.2022.159854
38. 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
39. 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
40. 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
41. Improved Drought Prediction Using Near Real-Time Climate Forecasts and Simulated Hydrologic Conditions H. Kang & V. Sridhar 10.3390/su10061799
42. 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
43. Improving Drought Modeling Using Hybrid Random Vector Functional Link Methods R. Adnan et al. 10.3390/w13233379
44. A Combined Satellite-Derived Drought Indicator to Support Humanitarian Aid Organizations M. Enenkel et al. 10.3390/rs8040340
45. Long-term daily hydrometeorological drought indices, soil moisture, and evapotranspiration for ICOS sites F. Pohl et al. 10.1038/s41597-023-02192-1
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47. A Vantage from Space Can Detect Earlier Drought Onset: An Approach Using Relative Humidity A. Farahmand et al. 10.1038/srep08553
48. Simulating the effects of climatic fluctuations on rice irrigation water requirement using AquaCrop N. Pirmoradian & N. Davatgar 10.1016/j.agwat.2018.10.003
49. Quantification of agricultural drought over Indian region: a multivariate phenology-based approach P. Das et al. 10.1007/s11069-020-03872-6
50. 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
51. Composite Agrometeorological Drought Index Accounting for Seasonality and Autocorrelation M. Bateni et al. 10.1061/(ASCE)HE.1943-5584.0001654
52. 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
53. Bayesian vine copulas improve agricultural drought prediction for long lead times H. Wu et al. 10.1016/j.agrformet.2023.109326
54. 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
55. Flash Drought: Review of Concept, Prediction and the Potential for Machine Learning, Deep Learning Methods S. Tyagi et al. 10.1029/2022EF002723
56. A combined drought monitoring index based on multi-sensor remote sensing data and machine learning H. Han et al. 10.1080/10106049.2019.1633423
57. 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
58. A near‐term drought assessment using hydrological and climate forecasting in the Mekong River Basin H. Kang & V. Sridhar 10.1002/joc.6860
59. 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
60. Multi-sensor integrated framework and index for agricultural drought monitoring X. Zhang et al. 10.1016/j.rse.2016.10.045
61. Do Derived Drought Indices Better Characterize Future Drought Change? Z. Jiang et al. 10.1029/2022EF003350
62. Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China Y. Wang et al. 10.3390/rs12142298
63. Copula‐Based Convection‐Permitting Projections of Future Changes in Multivariate Drought Characteristics B. Zhang et al. 10.1029/2019JD030686
64. Copula-based stochastic uncertainty analysis of satellite precipitation products E. Sharifi et al. 10.1016/j.jhydrol.2019.01.035
65. 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
66. 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
67. 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
68. 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
69. Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections E. Forootan et al. 10.1016/j.scitotenv.2018.09.231
70. 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
71. Prediction of Severe Drought Area Based on Random Forest: Using Satellite Image and Topography Data H. Park et al. 10.3390/w11040705
72. A comparison of large-scale climate signals and the North American Multi-Model Ensemble (NMME) for drought prediction in China L. Xu et al. 10.1016/j.jhydrol.2017.12.044
73. Drought monitoring and evaluation using ESA CCI and GLDAS-Noah soil moisture datasets across China G. Zhang et al. 10.1007/s00704-021-03609-w
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75. Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China Y. Wang et al. 10.3390/w11040767
76. 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
77. Understanding the interactions between meteorological and soil moisture drought over Indian region P. Das et al. 10.1007/s12040-020-01460-7
78. A parametric multivariate drought index for drought monitoring and assessment under climate change L. Xu et al. 10.1016/j.agrformet.2021.108657
79. 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
80. 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
81. Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning J. Li et al. 10.1029/2020WR029413
82. 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
83. Managing climate risks on the ranch with limited drought information T. Shrum et al. 10.1016/j.crm.2018.01.002
84. Identifying Key Driving Processes of Major Recent Heat Waves K. Wehrli et al. 10.1029/2019JD030635
85. Probabilistic long‐term hydrological drought forecast using Bayesian networks and drought propagation J. Shin et al. 10.1002/met.1827
86. Evaluating the Credibility of Downscaling: Integrating Scale, Trend, Extreme, and Climate Event into a Diagnostic Framework F. Sun et al. 10.1175/JAMC-D-20-0078.1
87. An evaluation of statistical, NMME and hybrid models for drought prediction in China L. Xu et al. 10.1016/j.jhydrol.2018.09.020
88. Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios G. Zhang et al. 10.1016/j.ejrh.2021.100898
89. Validation of drought indices using environmental indicators: streamflow and carbon flux data U. Bhuyan-Erhardt et al. 10.1016/j.agrformet.2018.11.016
90. Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula S. Park et al. 10.1016/j.agrformet.2017.02.022
91. Simple Short-Term Probabilistic Drought Prediction Using Mediterranean Teleconnection Information M. Bateni et al. 10.1007/s11269-018-2056-8
92. A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation S. Balivada et al. 10.3390/s22103913
93. Potential predictability sources of the 2012 U.S. drought in observations and a regional model ensemble D. PaiMazumder & J. Done 10.1002/2016JD025322
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98. Forecasting vegetation condition with a Bayesian auto-regressive distributed lags (BARDL) model E. Salakpi et al. 10.5194/nhess-22-2703-2022
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105. Identification of Drought Occurrences Using Ensemble Predictions up to 20-Days in Advance S. Shrivastava et al. 10.1007/s11269-018-1921-9
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107. Evaluation of SPI and Rainfall Departure Based on Multi-Satellite Precipitation Products for Meteorological Drought Monitoring in Tamil Nadu S. Pazhanivelan et al. 10.3390/w15071435
108. Mapping drought evolution in Ethiopia: trends, clustering, and Bayesian estimation of abrupt changes F. Di Nunno et al. 10.1007/s11069-024-06935-0
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123. 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