The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Sea ice concentration, ice temperature, and snow depth using AMSR-E data
Abstract
A summary of the theoretical basis and initial performance of the algorithms that are used to derive sea ice concentration, ice temperature, and snow depth on sea ice from newly acquired Earth Observing System-Aqua/Advanced Microwave Scanning Radiometer-EOS (AMSR-E) radiances is presented. The algorithms have been developed and tested using historical satellite passive microwave data and are expected to provide more accurate products, since they are designed to take advantage of the wider range of frequencies and higher spatial resolution of the AMSR-E microwave instrument. Validation programs involving coordinated satellite, aircraft, and surface measurements to determine the accuracies of these sea ice products and to improve further our capability to monitor global sea ice are currently underway.
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
A microwave technique for mapping thin sea ice
Cavalieri, D. J. (1994) · Journal of Geophysical Research: Oceans · doi:10.1029/94jc00707 · Cited by 167
Self-citation
Metadata
- Authors
- Comiso, J. C., Cavalieri, D. J., & Markus, T.
- Venue
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2003-02
- Volume
- 41
- Issue
- 2
- Pages
- 243-252
- ISSN
- 0196-2892 (ISSN-L)
- 1558-0644
- OpenAlex
- W2098136734
- Cited by
- 394
- References
- 1
- FWCI
- 5.56
- 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: Sea ice concentration, ice temperature, and snow depth using AMSR-E data. https://app.cochat.ai/papers/10.1109/tgrs.2002.808317
- The paper
- Comiso, J. C., Cavalieri, D. J., & Markus, T. (2003). Sea ice concentration, ice temperature, and snow depth using AMSR-E data. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2002.808317
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.
