Limits to the quantification of local climate change

被引:7
作者
Chapman, Sandra C. [1 ,4 ]
Stainforth, David A. [1 ,2 ,3 ,5 ]
Watkins, Nicholas W. [1 ,3 ]
机构
[1] Univ Warwick, Dept Phys, Coventry CV4 7AL, W Midlands, England
[2] Grantham Res Inst Climate Change & Environm, London, England
[3] London Sch Econ, Ctr Anal Timeseries, London WC2A 2AE, England
[4] Univ Tromso, Dept Math & Stat, N-9037 Tromso, Norway
[5] Univ Oxford, Environm Change Inst, Oxford OX1 3QY, England
来源
ENVIRONMENTAL RESEARCH LETTERS | 2015年 / 10卷 / 09期
基金
英国工程与自然科学研究理事会; 英国经济与社会研究理事会;
关键词
climate change; precipitation; climate change uncertainties; PRECIPITATION; VARIABILITY; TEMPERATURE; MODEL;
D O I
10.1088/1748-9326/10/9/094018
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We demonstrate how the fundamental timescales of anthropogenic climate change limit the identification of societally relevant aspects of changes in precipitation. We show that it is nevertheless possible to extract, solely from observations, some confident quantified assessments of change at certain thresholds and locations. Maps of such changes, for a variety of hydrologically-relevant, threshold-dependent metrics, are presented. In places in Scotland, for instance, the total precipitation on heavy rainfall days in winter has increased by more than 50%, but only in some locations has this been accompanied by a substantial increase in total seasonal precipitation; an important distinction for water and land management. These results are important for the presentation of scientific data by climate services, as a benchmark requirement for models which are used to provide projections on local scales, and for process-based climate and impacts research to understand local modulation of synoptic and global scale climate. They are a critical foundation for adaptation planning and for the scientific provision of locally relevant information about future climate.
引用
收藏
页数:7
相关论文
共 33 条
[1]   Global observed changes in daily climate extremes of temperature and precipitation [J].
Alexander, LV ;
Zhang, X ;
Peterson, TC ;
Caesar, J ;
Gleason, B ;
Tank, AMGK ;
Haylock, M ;
Collins, D ;
Trewin, B ;
Rahimzadeh, F ;
Tagipour, A ;
Kumar, KR ;
Revadekar, J ;
Griffiths, G ;
Vincent, L ;
Stephenson, DB ;
Burn, J ;
Aguilar, E ;
Brunet, M ;
Taylor, M ;
New, M ;
Zhai, P ;
Rusticucci, M ;
Vazquez-Aguirre, JL .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2006, 111 (D5)
[2]  
[Anonymous], 2003, 21 SESS IPCC VIENN A, DOI DOI 10.4324/9781315270326-109
[3]  
[Anonymous], J GEOPHYS RES
[4]  
[Anonymous], 2005, TM36 CLIM CHANG IND
[5]  
[Anonymous], 2011, CLIM KNOWL ACT GLOB
[6]   On estimating local long-term climate trends [J].
Chapman, S. C. ;
Stainforth, D. A. ;
Watkins, N. W. .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2013, 371 (1991)
[7]  
Christidis N, 2015, NAT CLIM CHANGE, V5, P46, DOI [10.1038/NCLIMATE2468, 10.1038/nclimate2468]
[8]  
Climdex, 2015, DAT IND CLIM EXTR
[9]  
Collier JC, 2004, J CLIMATE, V17, P3319, DOI 10.1175/1520-0442(2004)017<3319:ACOTPS>2.0.CO
[10]  
2