The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Efficacy of climate forcings
Abstract
We use a global climate model to compare the effectiveness of many climate forcing agents for producing climate change. We find a substantial range in the “efficacy” of different forcings, where the efficacy is the global temperature response per unit forcing relative to the response to CO 2 forcing. Anthropogenic CH 4 has efficacy ∼110%, which increases to ∼145% when its indirect effects on stratospheric H 2 O and tropospheric O 3 are included, yielding an effective climate forcing of ∼0.8 W/m 2 for the period 1750–2000 and making CH 4 the largest anthropogenic climate forcing other than CO 2. Black carbon (BC) aerosols from biomass burning have a calculated efficacy ∼58%, while fossil fuel BC has an efficacy ∼78%. Accounting for forcing efficacies and for indirect effects via snow albedo and cloud changes, we find that fossil fuel soot, defined as BC + OC (organic carbon), has a net positive forcing while biomass burning BC + OC has a negative forcing. We show that replacement of the traditional instantaneous and adjusted forcings, Fi and Fa, with an easily computed alternative, Fs, yields a better predictor of climate change, i.e., its efficacies are closer to unity. Fs is inferred from flux and temperature changes in a fixed‐ocean model run. There is remarkable congruence in the spatial distribution of climate change, normalized to the same forcing Fs, for most climate forcing agents, suggesting that the global forcing has more relevance to regional climate change than may have been anticipated. Increasing greenhouse gases intensify the Hadley circulation in our model, increasing rainfall in the Intertropical Convergence Zone (ITCZ), Eastern United States, and East Asia, while intensifying dry conditions in the subtropics including the Southwest United States, the Mediterranean region, the Middle East, and an expanding Sahel. These features survive in model simulations that use all estimated forcings for the period 1880–2000. Responses to localized forcings, such as land use change and heavy regional concentrations of BC aerosols, include more specific regional characteristics. We suggest that anthropogenic tropospheric O 3 and the BC snow albedo effect contribute substantially to rapid warming and sea ice loss in the Arctic. As a complement to a priori forcings, such as Fi, Fa, and Fs, we tabulate the a posteriori effective forcing, Fe, which is the product of the forcing and its efficacy. Fe requires calculation of the climate response and introduces greater model dependence, but once it is calculated for a given amount of a forcing agent it provides a good prediction of the response to other forcing amounts.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization
Large, W. G., McWilliams, J. C., & Doney, S. C. (1994) · Reviews of Geophysics · doi:10.1029/94rg01872 · Cited by 4,443
Aerosols, Cloud Microphysics, and Fractional Cloudiness
Albrecht, B. A. (1989) · Science · doi:10.1126/science.245.4923.1227 · Cited by 4,422
Aerosols, Climate, and the Hydrological Cycle
Ramanathan, V., Crutzen, P. J., Kiehl, J. T., & Rosenfeld, D. (2001) · Science · doi:10.1126/science.1064034 · Cited by 3,831
A Neoproterozoic Snowball Earth
Hoffman, P. F., Kaufman, A. J., Halverson, G. P., & Schrag, D. P. (1998) · Science · doi:10.1126/science.281.5381.1342 · Cited by 2,693
Radiative forcing and climate response
Hansen, J., Sato, M., & Ruedy, R. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/96jd03436 · Cited by 2,241
Self-citationEstimating historical changes in global land cover: Croplands from 1700 to 1992
Ramankutty, N., & Foley, J. A. (1999) · Global Biogeochemical Cycles · doi:10.1029/1999gb900046 · Cited by 2,074
Long-Term Aridity Changes in the Western United States
Cook, E. R., Woodhouse, C. A., Eakin, C. M., Meko, D. M., & Stahle, D. W. (2004) · Science · doi:10.1126/science.1102586 · Cited by 1,580 · cited 1×
“This model result is consistent with empirical evidence of strong droughts in the Southwest United States during past warm climates [Cook et al., 2004].”
ResultLacis, A. A., & Oinas, V. (1991) · Journal of Geophysical Research: Atmospheres · doi:10.1029/90jd01945 · Cited by 1,051 · cited 13×
“However, we have not studied the impact on model sensitivity of each change in model physics between E037 and model III.”
BackgroundMethodInfluentialSelf-citationRadiative forcing of climate by changes in the vertical distribution of ozone
Lacis, A. A., Wuebbles, D. J., & Logan, J. A. (1990) · Journal of Geophysical Research Atmospheres · doi:10.1029/jd095id07p09971 · Cited by 556 · cited 2×
“Our simulations show that CH4 oxidation contributes little to increase of H2O near the tropopause, where H2O is a very effective climate forcing [Lacis et al., 1990; RFCR; Forster and Shine, 2002].”
BackgroundMethodRadiative forcing and temperature trends from stratospheric ozone changes
de F. Forster, P. M., & Shine, K. P. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/96jd03510 · Cited by 382
Cited by
Bounding the role of black carbon in the climate system: A scientific assessment
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50171 · Cited by 6,385
Self-citationHansen, J., Sato, M., Ruedy, R., Lo, K., Lea, D. W., & Medina-Elizade, M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0606291103 · Cited by 2,134
Self-citationBlack carbon or brown carbon? The nature of light-absorbing carbonaceous aerosols
Andreae, M. O., & Gelencsér, A. (2006) · Atmospheric Chemistry and Physics · doi:10.5194/acp-6-3131-2006 · Cited by 2,006
The contribution of global aviation to anthropogenic climate forcing for 2000 to 2018
Lee, D. S., Fahey, D. W., Skowron, A., Allen, M. R., Burkhardt, U., Chen, Q., Doherty, S. J., Freeman, S., Forster, P. M., Fuglestvedt, J., et al. (2021) · Atmospheric Environment · doi:10.1016/j.atmosenv.2020.117834 · Cited by 1,957
Present‐day climate forcing and response from black carbon in snow
Flanner, M. G., Zender, C. S., Randerson, J. T., & Rasch, P. J. (2007) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2006jd008003 · Cited by 1,360
Metadata
- Authors
- Hansen, J., Sato, M., Ruedy, R., Nazarenko, L., Lacis, A., Schmidt, G. A., Russell, G., Aleinov, I., Bauer, M., Bauer, S., Bell, N., Cairns, B., Canuto, V., Chandler, M., Cheng, Y., Del Genio, A., Faluvegi, G., Fleming, E., Friend, A., Hall, T., Jackman, C., Kelley, M., Kiang, N., Koch, D., Lean, J., Lerner, J., Lo, K., Menon, S., Miller, R., Minnis, P., Novakov, T., Oinas, V., Perlwitz, J., Perlwitz, J., Rind, D., Romanou, A., Shindell, D., Stone, P., Sun, S., Tausnev, N., Thresher, D., Wielicki, B., Wong, T., Yao, M., & Zhang, S.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2005-09-27
- Volume
- 110
- Issue
- D18
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2133484165
- Cited by
- 1,486
- References
- 12
- FWCI
- 53.92
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Efficacy of climate forcings. https://app.cochat.ai/papers/10.1029/2005jd005776
- The paper
- Hansen, J., Sato, M., Ruedy, R., Nazarenko, L., Lacis, A., Schmidt, G. A., Russell, G., Aleinov, I., Bauer, M., Bauer, S., Bell, N., Cairns, B., Canuto, V., Chandler, M., Cheng, Y., Del Genio, A., Faluvegi, G., Fleming, E., Friend, A., . . . Zhang, S. (2005). Efficacy of climate forcings. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2005jd005776
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.