caa a22 4500 445799757 CHVBK 20180317145137.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s00704-010-0350-3 doi (NATIONALLICENCE)springer-10.1007/s00704-010-0350-3 Generalized extreme wind speed distributions in South America over the Atlantic Ocean region [Elektronische Daten] [Marilia de Oliveira, Nelson Ebecken, Jorge de Oliveira, Eric Gilleland] Statistical analysis of extreme values is applied to wind data from National Centers for Environmental Prediction and National Center for Atmospheric Research reanalysis grid points over the ocean region bounded at 23°S and 40°W and 42°W towards the south and southeastern Brazilian coast. The period of analysis goes from 1975 to 2006. The generalized extreme value and generalized Pareto distributions are employed for annual and daily maxima, respectively. The Pareto-Poisson point process characterization is also used to analyze peaks over threshold. Return levels for 10, 25, 50, and 100years are calculated at each grid point. However, most of the reanalysis data fall within 1-10-year return periods, suggesting that hazardous wind speed with low probability (return periods of 50-100) have rarely measured in this period. Wide confidence intervals on these levels show that there is not enough information to make predictions with any degree of certainty to return periods over 100years. Low extremal index (θ) values are found for excess wind speeds over a high threshold, indicating the occurrence of consecutively high peaks. In order to obtain realistic uncertainty information concerning inferences associated with threshold excesses, a declustering method is performed, which separates the excesses into clusters, thereby rendering the extreme values more independent. Springer-Verlag, 2010 de Oliveira Marilia Civil Engineering Postgraduate Program (COPPE/UFRJ), Center of Technology, Federal University of Rio de Janeiro, 21945-970, Rio de Janeiro, Brazil aut Ebecken Nelson Civil Engineering Postgraduate Program (COPPE/UFRJ), Center of Technology, Federal University of Rio de Janeiro, 21945-970, Rio de Janeiro, Brazil aut de Oliveira Jorge Program of Postgraduate, Department of Geography, Geoscience Institute (IGEO/UFF), 24210-340, Niterói, Brazil aut Gilleland Eric Research Applications Laboratory, National Center for Atmospheric Research (NCAR), 3450 Mitchell Lane, 80301, Boulder, CO, USA aut Theoretical and Applied Climatology Springer Vienna 104/3-4(2011-06-01), 377-385 0177-798X 104:3-4<377 2011 104 704 https://doi.org/10.1007/s00704-010-0350-3 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00704-010-0350-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- de Oliveira Marilia Civil Engineering Postgraduate Program (COPPE/UFRJ), Center of Technology, Federal University of Rio de Janeiro, 21945-970, Rio de Janeiro, Brazil aut NATIONALLICENCE 700 1- Ebecken Nelson Civil Engineering Postgraduate Program (COPPE/UFRJ), Center of Technology, Federal University of Rio de Janeiro, 21945-970, Rio de Janeiro, Brazil aut NATIONALLICENCE 700 1- de Oliveira Jorge Program of Postgraduate, Department of Geography, Geoscience Institute (IGEO/UFF), 24210-340, Niterói, Brazil aut NATIONALLICENCE 700 1- Gilleland Eric Research Applications Laboratory, National Center for Atmospheric Research (NCAR), 3450 Mitchell Lane, 80301, Boulder, CO, USA aut NATIONALLICENCE 773 0- Theoretical and Applied Climatology Springer Vienna 104/3-4(2011-06-01), 377-385 0177-798X 104:3-4<377 2011 104 704 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer