Use of models in detection and attribution of climate change

被引:233
作者
Hegerl, Gabriele [1 ]
Zwiers, Francis [2 ]
机构
[1] Univ Edinburgh, Grant Inst, Sch Geosci, Edinburgh, Midlothian, Scotland
[2] Univ Victoria, Pacific Climate Impacts Consortium, Victoria, BC, Canada
基金
美国国家科学基金会; 美国海洋和大气管理局;
关键词
MEAN SURFACE-TEMPERATURE; GREENHOUSE-GAS; DATA SET; PART I; PRECIPITATION; 20TH-CENTURY; SOLAR; UNCERTAINTY; CONSTRAINTS; VARIABILITY;
D O I
10.1002/wcc.121
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Most detection and attribution studies use climate models to determine both the expected 'fingerprint' of climate change and the uncertainty in the estimated magnitude of this fingerprint in observations, given the climate variability. This review discusses the role of models in detection and attribution, the associated uncertainties, and the robustness of results. Studies that use observations only make substantial assumptions to separate the components of observed changes due to radiative forcing from those due to internal climate variability. Results from observation-only studies are broadly consistent with those from fingerprint studies. Fingerprint studies evaluate the extent to which patterns of response to external forcing (fingerprints) from climate model simulations explain observed climate change in observations. Fingerprints are based on climate models of various complexities, from energy balance models to full earth system models. Statistical approaches range from simple comparisons of observations with model simulations to multi-regression methods that estimate the contribution of several forcings to observed change using a noise-reducing metric. Multi-model methods can address model uncertainties to some extent and we discuss how remaining uncertainties can be overcome. The increasing focus on detecting and attributing regional climate change and impacts presents both opportunities and challenges. Challenges arise because internal variability is larger on smaller scales, and regionally important forcings, such as from aerosols or land-use change, are often uncertain. Nevertheless, if regional climate change can be linked to external forcing, the results can be used to provide constraints on regional climate projections. (C) 2011 John Wiley & Sons, Ltd. WIREs Clim Change 2011 2 570-591 DOI: 10.1002/wcc.121
引用
收藏
页码:570 / 591
页数:22
相关论文
共 123 条
[1]   Liability for climate change [J].
Allen, M .
NATURE, 2003, 421 (6926) :891-892
[2]   Quantifying the uncertainty in forecasts of anthropogenic climate change [J].
Allen, MR ;
Stott, PA ;
Mitchell, JFB ;
Schnur, R ;
Delworth, TL .
NATURE, 2000, 407 (6804) :617-620
[3]   Constraints on future changes in climate and the hydrologic cycle [J].
Allen, MR ;
Ingram, WJ .
NATURE, 2002, 419 (6903) :224-+
[4]   Estimating signal amplitudes in optimal fingerprinting, part I: theory [J].
Allen, MR ;
Stott, PA .
CLIMATE DYNAMICS, 2003, 21 (5-6) :477-491
[5]   Checking for model consistency in optimal fingerprinting [J].
Allen, MR ;
Tett, SFB .
CLIMATE DYNAMICS, 1999, 15 (06) :419-434
[6]   Human-induced changes in the hydrology of the western United States [J].
Barnett, Tim P. ;
Pierce, David W. ;
Hidalgo, Hugo G. ;
Bonfils, Celine ;
Santer, Benjamin D. ;
Das, Tapash ;
Bala, Govindasamy ;
Wood, Andrew W. ;
Nozawa, Toru ;
Mirin, Arthur A. ;
Cayan, Daniel R. ;
Dettinger, Michael D. .
SCIENCE, 2008, 319 (5866) :1080-1083
[7]   Defining dry/wet spells for point observations, observed area averages, and regional climate model gridboxes in Europe [J].
Barring, Lars ;
Holt, Tom ;
Linderson, Maj-Lena ;
Radziejewski, Madej ;
Moriondo, Marco ;
Palutikof, Jean P. .
CLIMATE RESEARCH, 2006, 31 (01) :35-49
[8]  
Berliner LM, 2000, J CLIMATE, V13, P3805, DOI 10.1175/1520-0442(2000)013<3805:BCCA>2.0.CO
[9]  
2
[10]   Consistency of observed winter precipitation trends in northern Europe with regional climate change projections [J].
Bhend, Jonas ;
von Storch, Hans .
CLIMATE DYNAMICS, 2008, 31 (01) :17-28