Monthly prediction of drought classes using log-linear models under the influence of NAO for early-warning of drought and water management

SFRH/BPD/99757/2014 This work was partially supported by the projects IMDROFLOOD-Improving Drought and Flood Early Warning, Forecasting and Mitigation using real-time hydroclimatic indicators (WaterJPI/0004/2014) and project UID/MAT/00297/2013 (Centro de Matematica e Aplicacoes), both funded by fund...

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Bibliographic Details
Main Author: Moreira, Elsa (author)
Other Authors: Russo, Ana (author), Trigo, Ricardo M. (author)
Format: article
Language:eng
Published: 2019
Subjects:
Drought classes
Log-linear modeling
North Atlantic Oscillation (NAO)
Persistence
Standardized Precipitation and Evapotranspiration Index (SPEI)
Standardized Precipitation Index (SPI)
Biochemistry
Geography, Planning and Development
Aquatic Science
Water Science and Technology
SDG 13 - Climate Action
Online Access:https://doi.org/10.3390/w10010065
Country:Portugal
Oai:oai:run.unl.pt:10362/65376
Description
Summary:SFRH/BPD/99757/2014 This work was partially supported by the projects IMDROFLOOD-Improving Drought and Flood Early Warning, Forecasting and Mitigation using real-time hydroclimatic indicators (WaterJPI/0004/2014) and project UID/MAT/00297/2013 (Centro de Matematica e Aplicacoes), both funded by funded by Fundacao para a Ciencia e a Tecnologia, Portugal (FCT). Ana Russo thanks also FCT by the Post-Doc research grant SFRH/BPD/99757/2014.

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