The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Global budget and radiative forcing of black carbon aerosol: Constraints from pole‐to‐pole (HIPPO) observations across the Pacific
Open accessAbstract
We use a global chemical transport model (GEOS‐Chem) to interpret aircraft curtain observations of black carbon (BC) aerosol over the Pacific from 85°N to 67°S during the 2009–2011 HIAPER (High‐Performance Instrumented Airborne Platform for Environmental Research) Pole‐to‐Pole Observations (HIPPO) campaigns. Observed concentrations are very low, implying much more efficient scavenging than is usually implemented in models. Our simulation with a global source of 6.5 Tg a−1 and mean tropospheric lifetime of 4.2 days (versus 6.8 ± 1.8 days for the Aerosol Comparisons between Observations and Models (AeroCom) models) successfully simulates BC concentrations in source regions and continental outflow and captures the principal features of the HIPPO data but is still higher by a factor of 2 (1.48 for column loads) over the Pacific. It underestimates BC absorbing aerosol optical depths (AAODs) from the Aerosol Robotic Network by 32% on a global basis. Only 8.7% of global BC loading in GEOS‐Chem is above 5 km, versus 21 ± 11% for the AeroCom models, with important implications for radiative forcing estimates. Our simulation yields a global BC burden of 77 Gg, a global mean BC AAOD of 0.0017, and a top‐of‐atmosphere direct radiative forcing (TOA DRF) of 0.19 W m−2, with a range of 0.17–0.31 W m−2 based on uncertainties in the BC atmospheric distribution. Our TOA DRF is lower than previous estimates (0.27 ± 0.06 W m−2 in AeroCom, 0.65–0.9 W m−2 in more recent studies). We argue that these previous estimates are biased high because of excessive BC concentrations over the oceans and in the free troposphere.
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
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-citationGlobal and regional climate changes due to black carbon
Ramanathan, V., & Carmichael, G. (2008) · Nature Geoscience · doi:10.1038/ngeo156 · Cited by 3,616
The MODIS Aerosol Algorithm, Products, and Validation
Remer, L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins, J. V., Li, R.-R., Ichoku, C., Levy, R. C., Kleidman, R. G., et al. (2005) · Journal of the Atmospheric Sciences · doi:10.1175/jas3385.1 · Cited by 3,122
Dubovik, O., Holben, B., Eck, T. F., Smirnov, A., Kaufman, Y. J., King, M. D., Tanré, D., & Slutsker, I. (2002) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(2002)059<0590:voaaop>2.0.co;2 · Cited by 3,005
Light Absorption by Carbonaceous Particles: An Investigative Review
Bond, T. C., & Bergstrom, R. W. (2006) · Aerosol Science and Technology · doi:10.1080/02786820500421521 · Cited by 2,980
(2010) · doi:10.5194/acp-10-11707-2010 · Cited by 2,859
Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols
Jacobson, M. Z. (2001) · Nature · doi:10.1038/35055518 · Cited by 2,512
Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models
Wesely, M. L. (1989) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(89)90153-4 · Cited by 2,304
Asian emissions in 2006 for the NASA INTEX-B mission
Zhang, Q., Streets, D. G., Carmichael, G. R., He, K. B., Huo, H., Kannari, A., Klimont, Z., Park, I. S., Reddy, S., Fu, J. S., et al. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-5131-2009 · Cited by 1,950
WESELY, M. (2007) · Atmospheric Environment · doi:10.1016/j.atmosenv.2007.10.058 · Cited by 1,873
Cited by
Air Quality and Climate Connections
Fiore, A. M., Naik, V., & Leibensperger, E. M. (2015) · Journal of the Air & Waste Management Association · doi:10.1080/10962247.2015.1040526 · Cited by 537
Global Estimates of Inorganic Nitrogen Deposition Across Four Decades
Ackerman, D., Millet, D. B., & Chen, X. (2019) · Global Biogeochemical Cycles · doi:10.1029/2018gb005990 · Cited by 486
Control of particulate nitrate air pollution in China
Zhai, S., Jacob, D. J., Wang, X., Liu, Z., Wen, T., Shah, V., Li, K., Moch, J. M., Bates, K. H., Song, S., et al. (2021) · Nature Geoscience · doi:10.1038/s41561-021-00726-z · Cited by 363
Self-citationWang, X., Heald, C. L., Ridley, D. A., Schwarz, J. P., Spackman, J. R., Perring, A. E., Coe, H., Liu, D., & Clarke, A. D. (2014) · Atmospheric Chemistry and Physics · doi:10.5194/acp-14-10989-2014 · Cited by 323
Self-citationRussian anthropogenic black carbon: Emission reconstruction and Arctic black carbon simulation
Huang, K., Fu, J. S., Prikhodko, V. Y., Storey, J. M., Romanov, A., Hodson, E. L., Cresko, J., Morozova, I., Ignatieva, Y., & Cabaniss, J. (2015) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2015jd023358 · Cited by 129
Metadata
- Authors
- Wang, Q., Jacob, D. J., Spackman, J. R., Perring, A. E., Schwarz, J. P., Moteki, N., Marais, E. A., Ge, C., Wang, J., & Barrett, S. R. H.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2014-01-14
- Volume
- 119
- Issue
- 1
- Pages
- 195-206
- ISSN
- 0148-0227 (ISSN-L)
- 2169-897X
- 2169-8996
- OpenAlex
- W2116417968
- Cited by
- 294
- References
- 72
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Global budget and radiative forcing of black carbon aerosol: Constraints from pole‐to‐pole (HIPPO) observations across the Pacific. https://app.cochat.ai/papers/10.1002/2013jd020824
- The paper
- Wang, Q., Jacob, D. J., Spackman, J. R., Perring, A. E., Schwarz, J. P., Moteki, N., Marais, E. A., Ge, C., Wang, J., & Barrett, S. R. H. (2014). Global budget and radiative forcing of black carbon aerosol: Constraints from pole‐to‐pole (HIPPO) observations across the Pacific. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1002/2013jd020824
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.