Modeling climatic effects of anthropogenic carbon dioxide emissions: unknowns and uncertainties

被引:27
|
作者
Soon, W
Baliunas, S
Idso, SB
Kondratyev, KY
Posmentier, ES
机构
[1] Harvard Smithsonian Ctr Astrophys, Cambridge, MA 02138 USA
[2] Mt Wilson Observ, Mt Wilson, CA 91023 USA
[3] US Water Conservat Lab, Phoenix, AZ 85040 USA
[4] Russian Acad Sci, Res Ctr Ecol Safety, St Petersburg 197110, Russia
[5] Long Isl Univ, Brooklyn, NY 11201 USA
关键词
climate change; climate model; global warming; carbon dioxide;
D O I
10.3354/cr018259
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A likelihood of disastrous global environmental consequences has been surmised as a result of projected increases in anthropogenic greenhouse gas emissions. These estimates are based on computer climate modeling, a branch of science still in its infancy despite recent substantial strides in knowledge, Because the expected anthropogenic climate forcings are relatively small compared to other background and forcing factors (internal and external), the credibility of the modeled global and regional responses rests on the validity of the models. We focus on this important question of climate model validation, Specifically, we review common deficiencies in general circulation model (GCM) calculations of atmospheric temperature, surface temperature, precipitation and their spatial and temporal variability, These deficiencies arise from complex problems associated with parameterization of multiply interacting climate components, forcings and feedbacks, involving especially clouds and oceans, We also review examples of expected climatic impacts from anthropogenic CO(2) forcing, Given the host of uncertainties and unknowns in the difficult but important task of climate modeling, the unique attribution of observed current climate change to increased atmospheric CO(2) concentration, including the relatively well-observed latest 20 yr, is not possible. We further conclude that the incautious use of GCMs to make future climate projections from incomplete or unknown forcing scenarios is antithetical to the intrinsically heuristic value of models. Such uncritical application of climate models has led to the commonly held but erroneous impression that modeling has proven or substantiated the hypothesis that CO(2) added to the air has caused or will cause significant global warming, An assessment of the merits of GCMs and their use in suggesting a discernible human influence on global climate can be found in the joint World Meteorological Organisation and United Nations Environmental Programme's Intergovernmental Panel on Climate Change (IPCC) reports (1990, 1995 and the up-coming 2001 report), Our review highlights only the enormous scientific difficulties facing the calculation of climatic effects of added atmospheric CO(2) in a GCM. The purpose of such a limited review of the deficiencies of climate model physics and the use of GCMs is to illuminate areas for improvement. Our review does not disprove a significant anthropogenic influence on global climate.
引用
收藏
页码:259 / 275
页数:17
相关论文
共 50 条
  • [1] Modeling climatic effects of anthropogenic carbon dioxide emissions: unknowns and uncertainties. Reply to Risbey (2002)
    Soon, W
    Baliunas, S
    Idso, SB
    Kondratyev, KY
    Posmentier, ES
    [J]. CLIMATE RESEARCH, 2002, 22 (02) : 187 - 188
  • [2] Comment on Soon et al. (2001) 'Modeling climatic effects of anthropogenic carbon dioxide emissions: unknowns and uncertainties'
    Risbey, J
    [J]. CLIMATE RESEARCH, 2002, 22 (02) : 185 - 186
  • [3] Comment on Soon et al. (2001) 'Modeling climatic effects of anthropogenic carbon dioxide emissions: unknowns and uncertainties'
    Karoly, DJ
    Mitchell, JFB
    Allen, M
    Hegerl, G
    Marengo, J
    Zwiers, F
    [J]. CLIMATE RESEARCH, 2003, 24 (01) : 91 - 92
  • [4] Modeling climatic effects of anthropogenic carbon dioxide emissions: unknowns and uncertainties. Reply to Karoly et al. (2003)
    Soon, W
    Baliunas, S
    Idso, SB
    Kondratyev, KY
    Posmentier, ES
    [J]. CLIMATE RESEARCH, 2003, 24 (01) : 93 - 94
  • [5] Optimal control of anthropogenic carbon dioxide emissions through technological options: a modeling study
    Maitri Verma
    A. K. Misra
    [J]. Computational and Applied Mathematics, 2018, 37 : 605 - 626
  • [6] Optimal control of anthropogenic carbon dioxide emissions through technological options: a modeling study
    Verma, Maitri
    Misra, A. K.
    [J]. COMPUTATIONAL & APPLIED MATHEMATICS, 2018, 37 (01): : 605 - 626
  • [7] Spatial Modeling of Local-Scale Biogenic and Anthropogenic Carbon Dioxide Emissions in Helsinki
    Jarvi, Leena
    Havu, Minttu
    Ward, Helen C.
    Bellucco, Veronica
    McFadden, Joseph P.
    Toivonen, Tuuli
    Heikinheimo, Vuokko
    Kolari, Pasi
    Riikonen, Anu
    Grimmond, C. Sue B.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (15) : 8363 - 8384
  • [8] Lawn mowing frequency and its effects on biogenic and anthropogenic carbon dioxide emissions
    Lerman, Susannah B.
    Contosta, Alexandra R.
    [J]. LANDSCAPE AND URBAN PLANNING, 2019, 182 : 114 - 123
  • [9] Errors and uncertainties in a gridded carbon dioxide emissions inventory
    Tomohiro Oda
    Rostyslav Bun
    Vitaliy Kinakh
    Petro Topylko
    Mariia Halushchak
    Gregg Marland
    Thomas Lauvaux
    Matthias Jonas
    Shamil Maksyutov
    Zbigniew Nahorski
    Myroslava Lesiv
    Olha Danylo
    Joanna Horabik-Pyzel
    [J]. Mitigation and Adaptation Strategies for Global Change, 2019, 24 : 1007 - 1050
  • [10] Errors and uncertainties in a gridded carbon dioxide emissions inventory
    Oda, Tomohiro
    Bun, Rostyslav
    Kinakh, Vitaliy
    Topylko, Petro
    Halushchak, Mariia
    Marland, Gregg
    Lauvaux, Thomas
    Jonas, Matthias
    Maksyutov, Shamil
    Nahorski, Zbigniew
    Lesiv, Myroslava
    Danylo, Olha
    Horabik-Pyzel, Joanna
    [J]. MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2019, 24 (06) : 1007 - 1050