The DOI matches its Crossref record.
Classifying clouds around the globe with the CloudSat radar: 1‐year of results
Abstract
CloudSat supports a 94 GHz cloud profiling radar as part of the innovative A‐train formation of satellites studying the Earths clouds and atmosphere. Using the vertical profiles of clouds and precipitation, an algorithm has been developed to determine the type of clouds present. Because cloud type corresponds to specific cloud physical properties, this step is needed to apply other algorithms to derive quantitative cloud content and radiative data. This cloud type algorithm is applied to the initial 1‐year of radar data to obtain the global distribution of various cloud types over the land and ocean. These initial results appear consistent with previous global cloud type distributions, but with some differences that provide insights into the limitations of CloudSat measurements.
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
Cited by
Sassen, K., Wang, Z., & Liu, D. (2008) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd009972 · Cited by 600
Self-citationTaylor, P. C., Kato, S., Xu, K., & Cai, M. (2015) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2015jd023520 · Cited by 111
Lamquin, N., Stubenrauch, C. J., Gierens, K., Burkhardt, U., & Smit, H. (2012) · Atmospheric chemistry and physics · doi:10.5194/acp-12-381-2012 · Cited by 83
Metadata
- Authors
- Sassen, K., & Wang, Z.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2008-02
- Volume
- 35
- Issue
- 4
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2068045477
- Cited by
- 356
- References
- 0
- FWCI
- 11.16
- 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: Classifying clouds around the globe with the CloudSat radar: 1‐year of results. https://app.cochat.ai/papers/10.1029/2007gl032591
- The paper
- Sassen, K., & Wang, Z. (2008). Classifying clouds around the globe with the CloudSat radar: 1‐year of results. Geophysical Research Letters. https://doi.org/10.1029/2007gl032591
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.