@Article{CoelhoFerrStepStei:2008:MeExSp,
author = "Coelho, Caio Augusto dos Santos and Ferro, C. A. T. and
Stephenson, D. B and Steinskog, D. J.",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE/CPTEC)} and
School of Engineering, Computing and Mathematics, University of
Exeter, UK and School of Engineering, Compunting, and Mathematics,
University of Exeter, UK and Nansen Environmental and Remote
Center, bjerknes Centre of Climate Research, Bergen, Norway",
title = "Methods for exploring spatial and temporal variability of extreme
events in climate data",
journal = "Journal of Climate",
year = "2008",
volume = "21",
number = "10",
pages = "2072--2092",
month = "may",
keywords = "heat-wave, surface temperature, regional climate, air-temperature,
simulations, model, precipitation, ensemble, rainfall.",
abstract = "This study presents various statistical methods for exploring and
summarizing spatial extremal properties in large gridpoint
datasts. Extremal properties are inferred from the subset of
gridpoint values that erxceed sufficiently high, time-varying
thresholds. A simple approach is presented for how to choose the
thresholds so as to avoid sampling biases from nonstationary
differential trends within the annual cycle. The excesses are
summarized by estimating parameters of a flexible generalized
Pareto model that can account for spatial and temporal variation
in the excess distributions. The effect of potentially explanatory
factors (e.g., ENSO) on the distribution of extremes can be easily
investigated using this model. Smooth spatially pooled estimates
are obtained by fitting the model over neighboring grid points
while accounting for possible spatial variation across these
points. Extreme value theory methods are also presented for how to
investigate the temporal clustering and spatial dependency
(teleconnections) of extremes. The methods are illustrared using
Northern Hemisphere monthly mean gridde temperatures for
June-August (JJA) summers from 1870 to 2005.",
doi = "10.1175/2007JCLI1781.1",
url = "http://dx.doi.org/10.1175/2007JCLI1781.1",
issn = "0894-8755",
language = "en",
targetfile = "coelhoetal2008-jclim.pdf",
urlaccessdate = "05 maio 2024"
}