50 citations as recorded by crossref.

1. Development of category-based scoring support vector regression (CBS-SVR) for drought prediction M. Bazrkar & X. Chu https://doi.org/10.2166/hydro.2022.104
2. Modeling the Causal Effects of Drought Disasters K. NASERI https://doi.org/10.1142/S2345748124500209
3. A comparative performance analysis of three standardized climatic drought indices in the Chi River basin, Thailand T. Homdee et al. https://doi.org/10.1016/j.anres.2016.02.002
4. Twenty-first century drought analysis across China under climate change G. Zhang et al. https://doi.org/10.1007/s00382-021-06064-5
5. A comprehensive statistical assessment of drought indices to monitor drought status in Bangladesh M. Uddin et al. https://doi.org/10.1007/s12517-020-05302-0
6. Comparison of the SPI and SPEI as drought assessment tools in a semi-arid region: case of the Wadi Mekerra basin (northwest of Algeria) S. Berhail & O. Katipoğlu https://doi.org/10.1007/s00704-023-04601-2
7. Relating coccidioidomycosis (valley fever) incidence to soil moisture conditions E. Coopersmith et al. https://doi.org/10.1002/2016GH000033
8. Faster than expected drying in western Europe: mechanisms, attribution and implications H. Douville https://doi.org/10.1007/s00382-025-08013-y
9. Machine learning for improved drought forecasting in Chhattisgarh India: a statistical evaluation Y. Tamrakar et al. https://doi.org/10.1007/s44288-024-00089-z
10. Hydrological drought explained A. Van Loon https://doi.org/10.1002/wat2.1085
11. Droughts in Amazonia: Spatiotemporal Variability, Teleconnections, and Seasonal Predictions C. Lima & A. AghaKouchak https://doi.org/10.1002/2016WR020086
12. Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change S. Vicente‐Serrano et al. https://doi.org/10.1002/wcc.632
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. Impact of droughts on the carbon cycle in European vegetation: a probabilistic risk analysis using six vegetation models M. Van Oijen et al. https://doi.org/10.5194/bg-11-6357-2014
15. Ensemble Climate Projection for Hydro-Meteorological Drought over a river basin in Central Highland, Vietnam M. Vu et al. https://doi.org/10.1007/s12205-015-0506-x
16. A Novel Multi-Scalar Drought Index for Monitoring Drought: the Standardized Precipitation Temperature Index Z. Ali et al. https://doi.org/10.1007/s11269-017-1788-1
17. Spatiotemporal evolution and meteorological triggering conditions of hydrological drought in the Hun River basin, NE China S. Yue et al. https://doi.org/10.5194/nhess-22-995-2022
18. The Westerly Index as complementary indicator of the North Atlantic oscillation in explaining drought variability across Europe S. Vicente-Serrano et al. https://doi.org/10.1007/s00382-015-2875-8
19. Estimation of drought trends and comparison between SPI and SPEI with prediction using machine learning models in Rangpur, Bangladesh M. Akter et al. https://doi.org/10.1080/24749508.2023.2254003
20. Contribution of precipitation and reference evapotranspiration to drought indices under different climates S. Vicente-Serrano et al. https://doi.org/10.1016/j.jhydrol.2014.11.025
21. Spatiotemporal characteristics of meteorological drought events in 34 major global river basins during 1901–2021 Z. Zhu et al. https://doi.org/10.1016/j.scitotenv.2024.170913
22. Midlatitude Summer Drying: An Underestimated Threat in CMIP5 Models? H. Douville & M. Plazzotta https://doi.org/10.1002/2017GL075353
23. Hydrological change: Towards a consistent approach to assess changes on both floods and droughts B. Quesada-Montano et al. https://doi.org/10.1016/j.advwatres.2017.10.038
24. Lianas research in the Neotropics: overview, interaction with trees, and future perspectives B. da Cunha Vargas et al. https://doi.org/10.1007/s00468-020-02056-w
25. Evaluating climate change impact on drought: a comprehensive review of drought indices and future projections K. Bharghavi et al. https://doi.org/10.1007/s11069-025-07681-7
26. SPI-gamma random forest modelling for meteorological drought characterization and prediction in the Bengal Delta, Indo-Bangladesh region B. Sarkar et al. https://doi.org/10.1007/s00704-024-05293-y
27. Long-term basin trends confirm a record 2022–2024 hydrological drought and water-storage losses in western Amazonia G. De la Cruz et al. https://doi.org/10.1016/j.ejrh.2025.102951
28. Trends and variability of drought in the extended part of Chhota Nagpur plateau (Singbhum Protocontinent), India applying SPI and SPEI indices B. Bera et al. https://doi.org/10.1016/j.envc.2021.100310
29. Recent Patterns in Climate, Vegetation, and Forest Water Use in California Montane Watersheds P. Saksa et al. https://doi.org/10.3390/f8080278
30. Investigation of multi-model spatiotemporal mesoscale drought projections over India under climate change scenario V. Gupta & M. Jain https://doi.org/10.1016/j.jhydrol.2018.10.012
31. Austral summer droughts and their driving mechanisms in observations and present‐day climate simulations over Malawi E. Likoya et al. https://doi.org/10.1002/joc.8137
32. On the potentials of multiple climate variables in assessing the spatio-temporal characteristics of hydrological droughts over the Volta Basin C. Ndehedehe et al. https://doi.org/10.1016/j.scitotenv.2016.03.004
33. Integrated meteorological and hydrological drought model: A management tool for proactive water resources planning of semi-arid regions A. Rad et al. https://doi.org/10.1016/j.advwatres.2017.07.007
34. Analysing the Relationship between Multiple-Timescale SPI and GRACE Terrestrial Water Storage in the Framework of Drought Monitoring C. Cammalleri et al. https://doi.org/10.3390/w11081672
35. A novel causal structure-based framework for comparing a basin-wide water–energy–food–ecology nexus applied to the data-limited Amu Darya and Syr Darya river basins H. Shi et al. https://doi.org/10.5194/hess-25-901-2021
36. Hydrological drought severity explained by climate and catchment characteristics A. Van Loon & G. Laaha https://doi.org/10.1016/j.jhydrol.2014.10.059
37. Evidence of anthropogenic impacts on global drought frequency, duration, and intensity F. Chiang et al. https://doi.org/10.1038/s41467-021-22314-w
38. Climatology and Trend of Severe Drought Events in the State of Sao Paulo, Brazil, during the 20th Century L. Gozzo et al. https://doi.org/10.3390/atmos10040190
39. Proposal and evaluation of nonstationary versions of SPEI and SDDI based on climate covariates for regional drought analysis S. Kumar Masanta & V. Srinivas https://doi.org/10.1016/j.jhydrol.2022.127808
40. Multi-decadal hydrologic change and variability in the Amazon River basin: understanding terrestrial water storage variations and drought characteristics S. Chaudhari et al. https://doi.org/10.5194/hess-23-2841-2019
41. Identification of Potential Drought Areas in West Africa Under Climate Change and Variability G. Quenum et al. https://doi.org/10.1007/s41748-019-00133-w
42. Relieved drought in China under a low emission pathway to 1.5°C global warming X. Yue et al. https://doi.org/10.1002/joc.6682
43. Impact of large‐scale climate extremes on biospheric carbon fluxes: An intercomparison based on MsTMIP data J. Zscheischler et al. https://doi.org/10.1002/2014GB004826
44. Multiscale evaluation of the Standardized Precipitation Index as a groundwater drought indicator R. Kumar et al. https://doi.org/10.5194/hess-20-1117-2016
45. Hydroclimatology of extreme river flows G. Garner et al. https://doi.org/10.1111/fwb.12667
46. Testing the use of standardised indices and GRACE satellite data to estimate the European 2015 groundwater drought in near-real time A. Van Loon et al. https://doi.org/10.5194/hess-21-1947-2017
47. The Farmers’ Water Management Training in Order to Manage Droughts and Water Crisis in Iran B. Azizi https://doi.org/10.13005/bbra/2640
48. Análise multivariada do SPI no Estado de São Paulo L. Punski de Almeida et al. https://doi.org/10.55761/abclima.v32i19.16309
49. Spatial and temporal monitoring of drought conditions using the satellite rainfall estimates and remote sensing optical and thermal measurements F. Mohseni et al. https://doi.org/10.1016/j.asr.2021.02.017
50. Two Centuries of Hydroclimatic Variability Reconstructed From Tree‐Ring Records Over the Amazonian Andes of Peru V. Humanes‐Fuente et al. https://doi.org/10.1029/2020JD032565