The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cloud-Radiative Forcing and Climate: Results from the Earth Radiation Budget Experiment
Abstract
The study of climate and climate change is hindered by a lack of information on the effect of clouds on the radiation balance of the earth, referred to as the cloud-radiative forcing. Quantitative estimates of the global distributions of cloud-radiative forcing have been obtained from the spaceborne Earth Radiation Budget Experiment (ERBE) launched in 1984. For the April 1985 period, the global shortwave cloud forcing [-44.5 watts per square meter (W/m 2 )] due to the enhancement of planetary albedo, exceeded in magnitude the longwave cloud forcing (31.3 W/m 2 ) resulting from the greenhouse effect of clouds. Thus, clouds had a net cooling effect on the earth. This cooling effect is large over the mid- and high-latitude oceans, with values reaching -100 W/m 2 . The monthly averaged longwave cloud forcing reached maximum values of 50 to 100 W/m 2 over the convectively disturbed regions of the tropics. However, this heating effect is nearly canceled by a correspondingly large negative shortwave cloud forcing, which indicates the delicately balanced state of the tropics. The size of the observed net cloud forcing is about four times as large as the expected value of radiative forcing from a doubling of CO 2 . The shortwave and longwave components of cloud forcing are about ten times as large as those for a CO 2 doubling. Hence, small changes in the cloud-radiative forcing fields can play a significant role as a climate feedback mechanism. For example, during past glaciations a migration toward the equator of the field of strong, negative cloud-radiative forcing, in response to a similar migration of cooler waters, could have significantly amplified oceanic cooling and continental glaciation.
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 phytoplankton, atmospheric sulphur, cloud albedo and climate
Charlson, R. J., Lovelock, J. E., Andreae, M. O., & Warren, S. G. (1987) · Nature · doi:10.1038/326655a0 · Cited by 4,305
Cited by
King, M. D., Kaufman, Y. J., Menzel, W. P., & Tanre, D. (1992) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.124212 · Cited by 1,020
Cloud feedback mechanisms and their representation in global climate models
Ceppi, P., Brient, F., Zelinka, M. D., & Hartmann, D. L. (2017) · WIREs Climate Change · doi:10.1002/wcc.465 · Cited by 430
Self-citationSerreze, M. C., & Barry, R. G. (2005) · doi:10.1017/cbo9780511535888 · Cited by 385
Tropospheric Aerosol Climate Forcing in Clear-Sky Satellite Observations over the Oceans
Haywood, J. M., Ramaswamy, V., & Soden, B. J. (1999) · Science · doi:10.1126/science.283.5406.1299 · Cited by 326
Climate model response from the Geoengineering Model Intercomparison Project (GeoMIP)
Kravitz, B., Caldeira, K., Boucher, O., Robock, A., Rasch, P. J., Alterskjær, K., Karam, D. B., Cole, J. N. S., Curry, C. L., Haywood, J. M., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50646 · Cited by 296
Metadata
- Authors
- Ramanathan, V., Cess, R. D., Harrison, E. F., Minnis, P., Barkstrom, B. R., Ahmad, E., & Hartmann, D.
- Venue
- Science
- Published
- 1989-01-06
- Volume
- 243
- Issue
- 4887
- Pages
- 57-63
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2053811834
- Cited by
- 1,826
- References
- 1
- FWCI
- 107.70
- 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: Cloud-Radiative Forcing and Climate: Results from the Earth Radiation Budget Experiment. https://app.cochat.ai/papers/10.1126/science.243.4887.57
- The paper
- Ramanathan, V., Cess, R. D., Harrison, E. F., Minnis, P., Barkstrom, B. R., Ahmad, E., & Hartmann, D. (1989). Cloud-Radiative Forcing and Climate: Results from the Earth Radiation Budget Experiment. Science. https://doi.org/10.1126/science.243.4887.57
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.