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Stefanie M. Herrmann and Karen I. Mohr

dual-wet-season regime; 4) in East Africa, from dual season to single season or multiple seasons; 5) in southern Africa, from single season to dual or multiple seasons; and 6) in central Africa, from nonseasonal humid to a single- or dual-wet-season regime. Whether more systematic transitions between climatological seasonality regimes are expected under projected climate change remains to be studied. 4. Summary and conclusions This study developed a continental-scale seasonality classification for

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Pham Thi Thanh Nga, Pham Thanh Ha, and Vu Thanh Hang

). This regionalization is different from the latest Köppen–Geiger classification used in the climate world map ( Kottek et al. 2006 ), where Vietnam has only four climatic zones: equatorial monsoon (Am), equatorial savannah with dry winter (Aw), subtropical with constant precipitation (Cfa), and subtropical with dry winter (Cwa). Recently, Polo et al. (2015a) applied cluster analysis to the continental region of Vietnam for climatic regionalization using the spatial distribution of solar irradiance

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Budong Qian, Xuebin Zhang, Kai Chen, Yang Feng, and Ted O’Brien

, H. , 1995 : Misuses of statistical analysis in climate research. Analysis of Climate Variability: Applications of Statistical Techniques, H. von Storch and A. Navarra, Eds., Springer, 11–26 . Wang , X. L. , and V. R. Swail , 2001 : Changes of extreme wave heights in Northern Hemisphere oceans and related atmospheric circulation regimes. J. Climate , 14 , 2204 – 2220 . Wheaton , E. , and Coauthors , 2005 : Lessons learned from the Canadian drought years 2001 and 2002

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Tanlong Dai, Wenjie Dong, Yan Guo, Tao Hong, Dong Ji, Shili Yang, Di Tian, Xiaohang Wen, and Xian Zhu

of years in the period 1948–75 before abrupt change, n 2 is the number of years classified as after abrupt change, and N 2 is the number of years in the period 1976–2005 after the abrupt change. The last classification parameter, ε , characterizes the ability of phase space to represent the abrupt change, that is to say, the fit to the climate factors combined into the phase space with the abrupt change in the phase space. In this study, ε is divided into four classes: when ε < 70%, the

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Hugo Carrão, Andrew Singleton, Gustavo Naumann, Paulo Barbosa, and Jürgen V. Vogt

Monitor product ( Svoboda et al. 2002 ; Goodrich and Ellis 2006 ; Quiring 2009 ). The information from the six indicators is blended with further (local) indicators and expert knowledge from hundreds of climate and water experts across the country to derive the final drought intensity map over the United States ( Svoboda et al. 2002 ). Because droughts are generally slow to emerge and slow to recede, the classification system defined in the Drought Monitor includes two extra SPI categories to the

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Peter A. Bieniek, Uma S. Bhatt, Richard L. Thoman, Heather Angeloff, James Partain, John Papineau, Frederick Fritsch, Eric Holloway, John E. Walsh, Christopher Daly, Martha Shulski, Gary Hufford, David F. Hill, Stavros Calos, and Rudiger Gens

1. Introduction The climate of a geographic location is strongly linked to its latitude, elevation, and proximity to oceans. There has long been a great need to understand how the climate varies by region for climatic research and forecasting applications. Climate-classification techniques have often been employed to account for regional variability; the most well known being the Koeppen scheme ( Koeppen 1923 ), which broadly classifies regions by their mean temperature and precipitation. The

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Muhammad E. E. Hassim and Bertrand Timbal

meteorological states of the atmosphere that make the climate of a region. The idea of classifying the atmosphere into states stems from the observation that local weather patterns are considerably related to specific structures of the regional-scale flow regime. Each weather state is therefore characterized by distinct mean spatial patterns of wind, moisture, rainfall, and temperature. Classifying the broad-scale circulation through weather regimes also has the advantage of providing information on the

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Yolande A. Munzimi, Matthew C. Hansen, Bernard Adusei, and Gabriel B. Senay

://www.erad2010.org/pdf/POSTER/Wednesday/03_Satellite/03_ERAD2010_0023_extended.pdf .] Herrmann , S. , and K. A. Mohr , 2011 : A continental-scale classification of rainfall seasonality regimes in Africa based on gridded precipitation and land surface temperature products . J. Appl. Meteor. Climatol. , 50 , 2504 – 2513 , doi: 10.1175/JAMC-D-11-024.1 . Hijmans , R. J. , S. E. Cameron , J. L. Parra , P. Jones , and A. Jarvis , 2005 : Very high resolution interpolated climate surfaces for

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Cheikh Dione, Fabienne Lohou, Marjolaine Chiriaco, Marie Lothon, Sophie Bastin, Jean-Luc Baray, Pascal Yiou, and Aurélie Colomb

influence of large-scale atmospheric circulations relative to those of local processes to help explain the variability of daily temperature anomalies across France. Our study aims to quantify the relative contributions of large-scale atmospheric circulations and of local processes on the variability of temperature anomalies at three observatories located in France. For this, we shall evaluate specific issues: (i) the effect of weather regimes on daily temperature anomalies by use of the classification

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Angélique Godart, Sandrine Anquetin, Etienne Leblois, and Jean-Dominique Creutin

the physical processes involved in the banded rainfall. The next step will be to identify the weather types associated with BOC events and to study how they may be affected by climate change. Acknowledgments The French national LEFE/IDAO and EC2CO/CYTRIX programs of INSU supported the current study. Météo-France, the University of Wyoming, and the OHMCV provided data. The authors thank Bruno Joly from Météo-France who helped us in the use and interpretation of the weather-type classification

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