70 citations as recorded by crossref.

1. Characterization of Bias during Meteorological Drought Calculation in Time Series Out-of-Sample Validation K. Mammas & D. Lekkas https://doi.org/10.3390/w13182531
2. A Nonstationary Standardized Precipitation Index (NSPI) Using Bayesian Splines J. Stagge & K. Sung https://doi.org/10.1175/JAMC-D-21-0244.1
3. Comparison between Parametric and Nonparametric Approaches for the Calculation of Two Drought Indices: SPI and SSI T. Soľáková et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000942
4. Monitoring flood and drought risks in arid and semi‐arid regions using remote sensing data and standardized precipitation index: A case study of Syria H. Abd‐Elhamid et al. https://doi.org/10.1111/jfr3.12961
5. Future changes in drought characteristics in the Central Black Sea region of Türkiye using HadGEM2-ES climate models and the SPI S. Kurtoglu et al. https://doi.org/10.1007/s12665-025-12391-1
6. Accuracy Evaluation of Standardized Precipitation Index (SPI) Estimation under Conventional Assumption in Yeşilırmak, Kızılırmak, and Konya Closed Basins, Turkey M. Hinis et al. https://doi.org/10.1155/2023/5142965
7. Trends in projections of standardized precipitation indices in a future climate in Poland M. Osuch et al. https://doi.org/10.5194/hess-20-1947-2016
8. The application of a drought reconstruction in water resource management A. Lennard et al. https://doi.org/10.2166/nh.2015.090
9. GRACE-based hydrological droughts are less frequent but more severe than meteorological droughts in global major basins C. Ren et al. https://doi.org/10.1016/j.jhydrol.2025.134582
10. Ensemble projections of future streamflow droughts in Europe G. Forzieri et al. https://doi.org/10.5194/hess-18-85-2014
11. Spatio-temporal assessment of streamflow droughts over Southern South America: 1961–2006 J. Rivera & O. Penalba https://doi.org/10.1007/s00704-017-2243-1
12. A novel statistical framework for constructing multivariate standardized drought indices T. Terzi & O. Üçüncü https://doi.org/10.1007/s00704-025-05779-3
13. Impact of potential and actual evapotranspiration on drought phenomena over water and energy-limited regions S. Rehana & N. Monish https://doi.org/10.1007/s00704-021-03521-3
14. An analysis of droughts in Iran during 1988–2017 M. Ghamghami & P. Irannejad https://doi.org/10.1007/s42452-019-1258-x
15. Influence of Precipitation Changes on the SPI and Related Drought Severity. An Analysis Using Long-Term Data Series A. Paulo et al. https://doi.org/10.1007/s11269-016-1388-5
16. Inconsistencies between observed, reconstructed, and simulated precipitation indices for England since the year 1650 CE O. Bothe et al. https://doi.org/10.5194/cp-15-307-2019
17. Assessment of the Drought Hazard in the Tiber River Basin in Central Italy and a Comparison of New and Commonly Used Meteorological Indicators P. Maccioni et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001094
18. Evaluation of TRMM 3B43 Precipitation Data for Drought Monitoring in Jiangsu Province, China H. Tao et al. https://doi.org/10.3390/w8060221
19. Development and Evaluation of Soil Moisture‐Based Indices for Agricultural Drought Monitoring E. Krueger et al. https://doi.org/10.2134/agronj2018.09.0558
20. Response of vegetation to drought in the Tibetan Plateau: Elevation differentiation and the dominant factors Y. Wang et al. https://doi.org/10.1016/j.agrformet.2021.108468
21. An improved daily standardized precipitation index dataset for mainland China from 1961 to 2018 Q. Wang et al. https://doi.org/10.1038/s41597-022-01201-z
22. Extreme meteorological drought threat assessment: ranking analysis and its application to central Mexico E. Roca-Flores et al. https://doi.org/10.1007/s11069-025-07837-5
23. Inadequacy of the gamma distribution to calculate the Standardized Precipitation Index G. Blain & M. Meschiatti https://doi.org/10.1590/1807-1929/agriambi.v19n12p1129-1135
24. Utilizing Different Drought Indices to Monitor Temporal Drought Risks in Lisbon, Portugal in the Context of Climate Change Effects M. Zeleňáková et al. https://doi.org/10.3390/cli14070143
25. Standardized Precipitation and Evapotranspiration Index Approach for Drought Assessment in Slovakia—Statistical Evaluation of Different Calculations J. Slavková et al. https://doi.org/10.3390/atmos14091464
26. An empirical standardized soil moisture index for agricultural drought assessment from remotely sensed data H. Carrão et al. https://doi.org/10.1016/j.jag.2015.06.011
27. Monitoring Hydrometeorological Droughts Using a Simplified Precipitation Index A. Alsumaiei https://doi.org/10.3390/cli8020019
28. A universal Standardized Precipitation Index candidate distribution function for observations and simulations P. Pieper et al. https://doi.org/10.5194/hess-24-4541-2020
29. A new precipitation and drought climatology based on weather patterns D. Richardson et al. https://doi.org/10.1002/joc.5199
30. Risk Assessment of Extreme Drought and Extreme Wetness During Growth Stages of Major Crops in China M. Sun et al. https://doi.org/10.3390/su17052221
31. Evaluation of a combined drought indicator and its potential for agricultural drought prediction in southern Spain M. Jiménez-Donaire et al. https://doi.org/10.5194/nhess-20-21-2020
32. Assessing the threat of future megadrought in Iberia S. Guerreiro et al. https://doi.org/10.1002/joc.5140
33. Optimal Probability Distribution and Applicable Minimum Time-Scale for Daily Standardized Precipitation Index Time Series in South Korea C. Lee et al. https://doi.org/10.3390/atmos14081292
34. Copula-based standardized precipitation evapotranspiration index and its evaluation in China H. Bai https://doi.org/10.1016/j.jhydrol.2022.128587
35. Relative contribution of uncertainties to standardized drought index calculation using a linear mixture model J. Shin et al. https://doi.org/10.1016/j.jher.2026.100697
36. Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP) S. Fiedler et al. https://doi.org/10.1175/MWR-D-19-0404.1
37. Uncertainty Analysis of Hydrological Drought Due to Record Length, Time Scale, and Probability Distribution Functions Using Monte Carlo Simulation Method F. Ghasemnezhad et al. https://doi.org/10.3390/atmos13091390
38. Using the normality assumption to calculate probability‐based standardized drought indices: selection criteria with emphases on typical events G. Blain et al. https://doi.org/10.1002/joc.5381
39. Suitability of distributions for standard precipitation and evapotranspiration index over meteorologically homogeneous zones of India N. Monish & S. Rehana https://doi.org/10.1007/s12040-019-1271-x
40. Determining optimal probability distributions for gridded precipitation data based on L-moments M. Li et al. https://doi.org/10.1016/j.scitotenv.2023.163528
41. Assessment of Hydrological Extremes for Arid Catchments: A Case Study in Wadi Al Jizzi, North-West Oman E. Abushandi & M. Al Ajmi https://doi.org/10.3390/su142114028
42. Exploring cumulative probability functions for streamflow drought magnitude: Global scale analysis and parametric vs. non-parametric comparisons E. Popat & A. Hartmann https://doi.org/10.1016/j.jhydrol.2024.131426
43. Comparative analysis of probability distributions for the Standardized Precipitation Index and drought evolution in China during 1961–2015 R. Zhao et al. https://doi.org/10.1007/s00704-019-03050-0
44. Standartlaştırılmış yağış indeksi hesabında kullanılan dağılım fonksiyonu etkisinin ve kuraklık karakteristiklerinin araştırılması O. KATİPOĞLU & R. ACAR https://doi.org/10.17714/gumusfenbil.900408
45. Drought risk assessment in East Slovakia using SPI and RDI at different time scales M. Zeleňáková et al. https://doi.org/10.1007/s11069-025-07274-4
46. Unveiling Asymptotic Behavior in Precipitation Time Series: A GARCH-Based Second Order Semi-Parametric Autocorrelation Framework for Drought Monitoring in the Semi-Arid Region of India N. Choudhari et al. https://doi.org/10.3390/hydrology12100254
47. The best-fitting distribution of water balance and the spatiotemporal characteristics of drought in Guizhou Province, China Y. Wang et al. https://doi.org/10.1007/s00704-020-03469-w
48. Statistical distributions for monthly aggregations of precipitation and streamflow in drought indicator applications C. Svensson et al. https://doi.org/10.1002/2016WR019276
49. Hydrological Response to Drought Occurrences in a Brazilian Savanna Basin R. Junqueira et al. https://doi.org/10.3390/resources9100123
50. Exploring Bayesian model averaging with multiple ANNs for meteorological drought forecasts M. Achite et al. https://doi.org/10.1007/s00477-021-02150-6
51. Performance evaluation of different probability distribution functions for computing Standardized Precipitation Index over diverse climates of Iran T. Raziei https://doi.org/10.1002/joc.7023
52. Hydrological drought explained A. Van Loon https://doi.org/10.1002/wat2.1085
53. Standardized precipitation evapotranspiration index (SPEI) for Canada: assessment of probability distributions B. Tam et al. https://doi.org/10.1080/07011784.2023.2183143
54. Assimilation of remote sensing based surface soil moisture to develop a spatially varying vertical soil moisture profile database for entire Indian mainland M. Pal & R. Maity https://doi.org/10.1016/j.jhydrol.2021.126807
55. Assessment of Drought Risks in Arid Regions Utilizing Remote Sensing Data and the Standardized Precipitation Index in the Context of Climate Change H. Abd-Elhamid et al. https://doi.org/10.1007/s41748-025-00678-z
56. Improving the normalization procedure of the simplified standardized precipitation index (SSPI) using Box–Cox transformation T. Raziei https://doi.org/10.1007/s00477-022-02317-9
57. Analysis of drought in upper Moulouya Basin (Morocco): a combination of drought indices, classic and innovative trend tests Z. Qadem et al. https://doi.org/10.1007/s00704-025-05699-2
58. Estimating uncertainty associated with the standardized precipitation index G. Carbone et al. https://doi.org/10.1002/joc.5393
59. Effects of compound hydro-meteorological extremes on rice yield in different cultivation practices in India A. Mishra et al. https://doi.org/10.1007/s00704-024-04894-x
60. 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
61. RETRACTED ARTICLE: Recommendations for modifying the Standardized Precipitation Index (SPI) for Drought Monitoring in Arid and Semi-arid Regions P. Mahmoudi et al. https://doi.org/10.1007/s11269-021-02891-7
62. Truncated distributions for the Standardized Precipitation Index (SPI) and Standardized Streamflow Index (SSI) in a tropical basin L. Lopes Martins et al. https://doi.org/10.1080/02626667.2025.2576493
63. Global Evaluation of Optimal Probability Distribution Functions for RDI Assessments M. Asadi Zarch & F. Motraghi https://doi.org/10.1002/hyp.70037
64. New Insights into Meteorological and Hydrological Drought Modeling: A Comparative Analysis of Parametric and Non-Parametric Distributions A. Abu Arra & E. Şişman https://doi.org/10.3390/atmos16070846
65. How standard are standardized drought indices? Uncertainty components for the SPI & SPEI case J. Laimighofer & G. Laaha https://doi.org/10.1016/j.jhydrol.2022.128385
66. Uncertainty Analysis of Standardized Precipitation Index Due to the Effects of Probability Distributions and Parameter Errors Y. Zhang & Z. Li https://doi.org/10.3389/feart.2020.00076
67. Interannual drought index variations in Central Europe related to the large-scale atmospheric circulation—application and evaluation of statistical downscaling approaches based on circulation type classifications C. Beck et al. https://doi.org/10.1007/s00704-014-1267-z
68. Sensitivity of SPI to Distribution Functions and Correlation Between its Values at Different Time Scales in Central Africa G. Guenang et al. https://doi.org/10.1007/s41748-019-00102-3
69. Candidate Distributions for Climatological Drought Indices (SPIandSPEI) J. Stagge et al. https://doi.org/10.1002/joc.4267
70. Hydro-meteorological drought assessment under climate change impact over the Vu Gia–Thu Bon river basin, Vietnam M. Vu et al. https://doi.org/10.1080/02626667.2017.1346374