"
Development and Forecasting Drought Indices Using SPI (Standardized Precipitation Index) for Local Level Agricultural Water Management"
written by Motaleb Hossain Sarker, Shamsuddin Ahmed, Md. Shadekul Alam, Dilruba Begum, Tariful Newaz Kabir, Rifat Jahan, Md. Monwar-Ul Haq, Syeda Tasbiha Dewan Kabir,
published by
Atmospheric and Climate Sciences,
Vol.11 No.1, 2021
has been cited by the following article(s):
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[1]
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Comparative study of two drought description models in Central-Africa: the revisited effective drought index and the standardized precipitation index
Modeling Earth Systems and Environment,
2023
DOI:10.1007/s40808-022-01584-3
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[2]
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Predicting agricultural drought using meteorological and ENSO parameters in different regions of Iran based on the LSTM model
Stochastic Environmental Research and Risk Assessment,
2023
DOI:10.1007/s00477-023-02465-6
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[3]
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Temporal variability of precipitation isotopes in Damascus, Syria — implications for regional climate change
Asian Journal of Atmospheric Environment,
2023
DOI:10.1007/s44273-023-00004-x
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[4]
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Site suitability analysis for the construction of water reservoirs in drought‐prone areas of Bangladesh using geospatial techniques
World Water Policy,
2022
DOI:10.1002/wwp2.12076
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[5]
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Application of a hybrid ARIMA-LSTM model based on the SPEI for drought forecasting
Environmental Science and Pollution Research,
2022
DOI:10.1007/s11356-021-15325-z
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[6]
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Site suitability analysis for the construction of water reservoirs in drought‐prone areas of Bangladesh using geospatial techniques
World Water Policy,
2022
DOI:10.1002/wwp2.12076
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[7]
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Comparative study of two drought description models in Central-Africa: the revisited effective drought index and the standardized precipitation index
Modeling Earth Systems and Environment,
2022
DOI:10.1007/s40808-022-01584-3
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[8]
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Spatiotemporal Assessment and Meteorological Determinants of Atmospheric Drought in Agricultural Areas of East-Central Poland
Agronomy,
2021
DOI:10.3390/agronomy11122405
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