Prediction of seasonal rainfall in the north nordeste of Brazil using eigenvectors of sea‐surface temperature

By M. Ward, C. Folland. 2007

171 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/b0da090555878ffaf010bb249382ce468c868032

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Citations in the corpus

An Upper Limit to Seasonal Rainfall Predictability (2010, background): “2006) and have been shown to influence the probabilities of below- and above-average precipitation in many parts of the world (e.g., Nicholls 1989; Ward and Folland 1991; Barnston 1994; Drosdowsky and Chambers 2001; Hoerling and Kumar 2003; Rajeevan et al. 2007).”
Geostatistical interpolation using copulas (2008, background): “LTIF (Linear error in probability space) The quantity L is the difference between the estimated and the observed values in the probability space [Ward and Folland, 1991]: L ¼ 1 n Xn i¼1 Fz z xið Þð Þ Fz z* xið Þ ð37Þ An advantage of this quantity is that it does not depend on the magnitude of…”
Comparison of six methods for the interpolation of daily, European climate data (2008, methodology): “Linear error in probability space (LEPS) is a skill measure used extensively in seasonal forecasting [Ward and Folland, 1991].”
In search of simple structures in climate: simplifying EOFs (2006, methodology): “…for various purposes such as analysing the leading modes/patterns of variability (e.g. Kutzbach, 1967), predicting the weather (Lorenz, 1956; Ward and Folland, 1991), and comparing model simulations to observations and reanalyses as routinely practiced in * Correspondence to: A. Hannachi,…”
Multisite probabilistic forecasting of seasonal flows for streams with zero value occurrences (2011, unknown): “It is built on the broad concept behind the LEPS skill score [ Ward and Folland, 1991; Potts et al., 1996] but presented in such a form that is easy to understand and consistent with the normalization used in many modern skill scores.”
Seasonal and Inter-Annual Climate Forecasting: The New Tool for Increasing Preparedness to Climate Variability and Change In Agricultural Planning And Operations (2005, background): “Have we really advanced that much? Graziers and smallholder farmers in the Nordeste region of Brazil are still suffering from droughts and are hoping for divine intervention while the scientific debate about causes and predictability of droughts continues (Moura and Shukla, 1981; Ward and Folland, 1”
A Bayesian joint probability modeling approach for seasonal forecasting of streamflows at multiple sites (2009, methodology): “[26] A skill score based on the LEPS score is given by [ Ward and Folland, 1991; Potts et al., 1996]”