Spatiotemporal drought analysis by the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) in Sichuan Province …

C Liu, C Yang, Q Yang, J Wang - Scientific reports, 2021 - nature.com
Drought refers to a meteorological disaster that causes insufficient soil moisture and
damage to crop water balance due to long-term lack of precipitation. With the increasing …

Drought indices: aggregation is necessary or is it only the researcher's choice?

MA Faiz, Y Zhang, N Ma, F Baig, F Naz, Y Niaz - Water Supply, 2021 - iwaponline.com
Drought is a natural phenomenon caused by extreme and persistent precipitation shortage.
This shortfall causes impacts on hydrology, agriculture, and the economy of a country …

[HTML][HTML] Evaluation of ERA5 and ERA5-Land reanalysis precipitation datasets over Spain (1951–2020)

J Gomis-Cebolla, V Rattayova, S Salazar-Galán… - Atmospheric …, 2023 - Elsevier
Reanalysis precipitation estimates are widely used in the fields of meteorology and
hydrology because they can provide physical, spatial, and temporal coherent long time …

Robust meteorological drought prediction using antecedent SST fluctuations and machine learning

J Li, Z Wang, X Wu, CY Xu, S Guo… - Water Resources …, 2021 - Wiley Online Library
While reliable drought prediction is fundamental for drought mitigation and water resources
management, it is still a challenge to develop robust drought prediction models due to …

Long-term variability and trends in meteorological droughts in Western Europe (1851-2018)

S Vicente Serrano… - International …, 2020 - livrepository.liverpool.ac.uk
We analysed long‐term variability and trends in meteorological droughts across Western
Europe using the Standardized Precipitation Index (SPI). Precipitation data from 199 stations …

Zoning map for drought prediction using integrated machine learning models with a nomadic people optimization algorithm

S Mohamadi, SS Sammen, F Panahi, M Ehteram… - Natural Hazards, 2020 - Springer
The modelling of drought is of utmost importance for the efficient management of water
resources. This article used the adaptive neuro-fuzzy interface system (ANFIS), multilayer …

Future droughts in northern Italy: high-resolution projections using EURO-CORDEX and MED-CORDEX ensembles

A Baronetti, V Dubreuil, A Provenzale, S Fratianni - Climatic Change, 2022 - Springer
We analyse the expected characteristics of drought events in northern Italy for baseline
(1971–2000), near (2021–2050), and far (2071–2100) future conditions, estimating the …

Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes

P Aghelpour, H Bahrami-Pichaghchi, O Kisi - Computers and electronics in …, 2020 - Elsevier
Monitoring agricultural drought utilizing the least variables can be useful at the areas with
just rain gauge stations, especially in Iran, which is located in arid belt of the world. In this …

Temporal hydrological drought index forecasting for New South Wales, Australia using machine learning approaches

A Dikshit, B Pradhan, AM Alamri - Atmosphere, 2020 - mdpi.com
Droughts can cause significant damage to agriculture and water resources leading to severe
economic losses. One of the most important aspects of drought management is to develop …

The role of spatial scale in drought monitoring and early warning systems: a review

J Mardian - Environmental Reviews, 2022 - cdnsciencepub.com
Drought is a costly natural disaster characterized by water shortages that impact water
availability, agriculture, ecosystems, and the economy. The driving mechanisms of drought …