Uncertainty in emissions projections for climate models

被引:80
|
作者
Webster, MD
Babiker, M
Mayer, M
Reilly, JM
Harnisch, J
Hyman, R
Sarofim, MC
Wang, C
机构
[1] Univ N Carolina, Dept Publ Policy, Chapel Hill, NC 27599 USA
[2] MIT, Joint Program Sci & Policy Global Change, Cambridge, MA 02139 USA
[3] AVL List GmbH, A-8020 Graz, Austria
[4] ECOFYS Energy & Environ,, Energy Technol Ctr, D-90459 Nurnberg, Germany
关键词
atmospheric chemistry; Monte Carlo simulation; air pollution; economic models; greenhouse gases; earth systems modeling;
D O I
10.1016/S1352-2310(02)00245-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Future global climate projections are subject to large uncertainties, Major sources of this uncertainty are projections of anthropogenic emissions. We evaluate the uncertainty in future anthropogenic emissions using a computable general equilibrium model of the world economy. Results are simulated through 2100 for carbon dioxide (CO2) methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and sulfur hexafluoride (SF6), sulfur dioxide (SO2), black carbon (BC) and organic carbon (OC), nitrogen oxides (NOx), carbon monoxide (CO), ammonia (NH3) and non-methane volatile organic compounds (NMVOCs). We construct mean and upper and lower 95% emissions scenarios (available from the authors at 1degrees x 1degrees latitude-longitude grid). Using the MIT Integrated Global System Model (IGSM), we find a temperature change range in 2100 of 0.9 to 4.0degreesC, compared with the Intergovernmental Panel on Climate Change emissions scenarios that result in a range of 1.3 to 3.6degreesC when simulated through MIT IGSM. (C) 2002 Elsevier Science Ltd, All rights reserved.
引用
收藏
页码:3659 / 3670
页数:12
相关论文
共 50 条
  • [41] Future projections and uncertainty assessment of extreme rainfall intensity in the United States from an ensemble of climate models
    Zhu, Jianting
    Forsee, William
    Schumer, Rina
    Gautam, Mahesh
    [J]. CLIMATIC CHANGE, 2013, 118 (02) : 469 - 485
  • [42] Future projections and uncertainty assessment of extreme rainfall intensity in the United States from an ensemble of climate models
    Jianting Zhu
    William Forsee
    Rina Schumer
    Mahesh Gautam
    [J]. Climatic Change, 2013, 118 : 469 - 485
  • [43] Uncertainty in climate projections and time of emergence of climate signals in the western Canadian Prairies
    Barrow, Elaine M.
    Sauchyn, David J.
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (11) : 4358 - 4371
  • [44] Implication of climate variable selections on the uncertainty of reference crop evapotranspiration projections propagated from climate variables projections under climate change
    Lai, Chengguang
    Chen, Xiaohong
    Zhong, Ruida
    Wang, Zhaoli
    [J]. AGRICULTURAL WATER MANAGEMENT, 2022, 259
  • [45] Quantifying the irreducible uncertainty in near-term climate projections
    Marotzke, Jochem
    [J]. WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE, 2019, 10 (01)
  • [46] Uncertainty assessments of climate change projections over South America
    Roger Rodrigues Torres
    Jose Antonio Marengo
    [J]. Theoretical and Applied Climatology, 2013, 112 : 253 - 272
  • [47] Climate change signal and uncertainty in projections of ocean wave heights
    Xiaolan L. Wang
    Val R. Swail
    [J]. Climate Dynamics, 2006, 26 : 109 - 126
  • [48] Climate change signal and uncertainty in projections of ocean wave heights
    Wang, XLL
    Swail, VR
    [J]. CLIMATE DYNAMICS, 2006, 26 (2-3) : 109 - 126
  • [49] Climate change: Sources of uncertainty in precipitation and temperature projections for Denmark
    Pasten-Zapata, Ernesto
    Sonnenborg, Torben O.
    Refsgaard, Jens Christian
    [J]. GEOLOGICAL SURVEY OF DENMARK AND GREENLAND BULLETIN, 2019, 43
  • [50] Recommendations for quantifying and reducing uncertainty in climate projections of species distributions
    Brodie, Stephanie
    Smith, James A.
    Muhling, Barbara A.
    Barnett, Lewis A. K.
    Carroll, Gemma
    Fiedler, Paul
    Bograd, Steven J.
    Hazen, Elliott L.
    Jacox, Michael G.
    Andrews, Kelly S.
    Barnes, Cheryl L.
    Crozier, Lisa G.
    Fiechter, Jerome
    Fredston, Alexa
    Haltuch, Melissa A.
    Harvey, Chris J.
    Holmes, Elizabeth
    Karp, Melissa A.
    Liu, Owen R.
    Malick, Michael J.
    Buil, Mercedes Pozo
    Richerson, Kate
    Rooper, Christopher N.
    Samhouri, Jameal
    Seary, Rachel
    Selden, Rebecca L.
    Thompson, Andrew R.
    Tommasi, Desiree
    Ward, Eric J.
    Kaplan, Isaac C.
    [J]. GLOBAL CHANGE BIOLOGY, 2022, 28 (22) : 6586 - 6601