SPI-based drought category prediction using loglinear models
By Elsa Moreira, Caio A. S. Coelho, A. Paulo, Luís S. Pereira, João T. Mexia. 2008
176 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/d4e5afc5015cd1f2b6ec2930fbc4a1c2442b105a
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In Ecology, Evolution, Behavior and Systematics
In Global and Planetary Change
Citations in the corpus
- Hydrological Drought Class Transition Using SPI and SRI Time Series by Loglinear Regression (2015, methodology): “Loglinear models were successfully applied to analyze meteorological drought class transitions and to search for impacts of climate change on drought frequency and severity (Moreira et al. 2006; Moreira et al. 2008).”
- Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran) (2013, background): “Morid et al. (2007) examined the effectiveness of ANN approach for medium and long-term forecasting of both the probability of drought events and their severity.”