Changing Frequency of Heavy Rainfall over the Central United States

被引:146
作者
Villarini, Gabriele [1 ,2 ]
Smith, James A. [1 ]
Vecchi, Gabriel A. [3 ]
机构
[1] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
[2] Willis Res Network, London, England
[3] NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA
关键词
CLIMATE-CHANGE; PRECIPITATION; TRENDS; REGRESSION; EVENTS;
D O I
10.1175/JCLI-D-12-00043.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Records of daily rainfall accumulations from 447 rain gauge stations over the central United States (Minnesota, Wisconsin, Michigan, Iowa, Illinois, Indiana, Missouri, Kentucky, Tennessee, Arkansas, Louisiana, Alabama, and Mississippi) are used to assess past changes in the frequency of heavy rainfall. Each station has a record of at least 50 yr, and the data cover most of the twentieth century and the first decade of the twenty-first century. Analyses are performed using a peaks-over-threshold approach, and, for each station, the 95th percentile is used as the threshold. Because of the count nature of the data and to account for both abrupt and slowly varying changes in the heavy rainfall distribution, a segmented regression is used to detect changepoints at unknown points in time. The presence of trends is assessed by means of a Poisson regression model to examine whether the rate of occurrence parameter is a linear function of time (by means of a logarithmic link function). The results point to increasing trends in heavy rainfall over the northern part of the study domain. Examination of the surface temperature record suggests that these increasing trends occur over the area with the largest increasing trends in temperature and, consequently, with an increase in atmospheric water vapor.
引用
收藏
页码:351 / 357
页数:7
相关论文
共 51 条
[1]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[2]   Atmospheric warming and the amplification of precipitation extremes [J].
Allan, Richard P. ;
Soden, Brian J. .
SCIENCE, 2008, 321 (5895) :1481-1484
[3]   Constraints on future changes in climate and the hydrologic cycle [J].
Allen, MR ;
Ingram, WJ .
NATURE, 2002, 419 (6903) :224-+
[4]   Abrupt climate change [J].
Alley, RB ;
Marotzke, J ;
Nordhaus, WD ;
Overpeck, JT ;
Peteet, DM ;
Pielke, RA ;
Pierrehumbert, RT ;
Rhines, PB ;
Stocker, TF ;
Talley, LD ;
Wallace, JM .
SCIENCE, 2003, 299 (5615) :2005-2010
[5]  
[Anonymous], 2013, Regression Analysis of Count Data
[6]  
[Anonymous], 1983, Generalized Linear Models
[7]   Change-point analysis as a tool to detect abrupt climate variations [J].
Beaulieu, Claudie ;
Chen, Jie ;
Sarmiento, Jorge L. .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2012, 370 (1962) :1228-1249
[8]   Changes in instruments and sites affecting historical weather records: A case study [J].
Changnon, SA ;
Kunkel, KE .
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2006, 23 (06) :825-828
[9]   ROBUST LOCALLY WEIGHTED REGRESSION AND SMOOTHING SCATTERPLOTS [J].
CLEVELAND, WS .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (368) :829-836
[10]   A New Approach to Homogenize Daily Radiosonde Humidity Data [J].
Dai, Aiguo ;
Wang, Junhong ;
Thorne, Peter W. ;
Parker, David E. ;
Haimberger, Leopold ;
Wang, Xiaolan L. .
JOURNAL OF CLIMATE, 2011, 24 (04) :965-991