The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Effects of biomass‐burning‐derived aerosols on precipitation and clouds in the Amazon Basin: a satellite‐based empirical study
Abstract
Biomass burning in the Amazon provides strong input of aerosols into the atmosphere, with potential effects on precipitation, cloud properties, and radiative balance. However, few studies to date have systematically examined these effects at the scale of the Amazon Basin, over an entire burning season, using available data sets. We empirically study the relationships of aerosol optical depth (τa) versus rainfall and cloud properties measured from satellites over the entire Brazilian Amazon during the dry, biomass burning seasons (August–October) of 2000 and 2003. Elevated τa was associated with increased rainfall in both 2000 and 2003. With enhanced τa, cloud cover increased significantly, and cloud top temperature/pressure decreased, suggesting higher cloud tops. The cloud droplet effective radius (Re) exhibited minimal growth with cloud height under background levels of τa, while distinct increases in Re at cloud top temperatures below −10°C, indicative of ice formation, were observed with aerosol loading. Although empirical correlations do not unequivocally establish the causal link from aerosols, these results are consistent with previous observational and modeling studies that pointed to dynamical effects from aerosols that invigorate convection, leading to higher clouds, enhanced cloud cover, and stronger rainfall. We speculate that changes in precipitation and cloud properties associated with aerosol loading observed in this study could have important radiative and hydrological effects on the Amazonian climate system. The accelerated forest burning for agricultural land clearing and the resulting enhancements in aerosols and rainfall may even partially account for the observed positive trend in Amazonian precipitation over the past several decades.
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
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
Cited by
Artaxo, P., Rizzo, L. V., Brito, J. F., Barbosa, H. M. J., Arana, A., Sena, E. T., Cirino, G. G., Bastos, W., Martin, S. T., & Andreae, M. O. (2013) · Faraday Discussions · doi:10.1039/c3fd00052d · Cited by 257
Impact of atmospheric aerosol from biomass burning on Amazon dry-season drought
Bevan, S. L., North, P. R. J., Grey, W. M. F., Los, S. O., & Plummer, S. E. (2009) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd011112 · Cited by 87
Metadata
- Authors
- Lin, J. C., Matsui, T., Pielke, R. A., & Kummerow, C.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2006-10-12
- Volume
- 111
- Issue
- D19
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2147114223
- Cited by
- 231
- References
- 2
- FWCI
- 11.26
- 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: Effects of biomass‐burning‐derived aerosols on precipitation and clouds in the Amazon Basin: a satellite‐based empirical study. https://app.cochat.ai/papers/10.1029/2005jd006884
- The paper
- Lin, J. C., Matsui, T., Pielke, R. A., & Kummerow, C. (2006). Effects of biomass‐burning‐derived aerosols on precipitation and clouds in the Amazon Basin: a satellite‐based empirical study. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2005jd006884
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.