The DOI matches its Crossref record.
Analysis of GNSS‐R delay‐Doppler maps from the UK‐DMC satellite over the ocean
Abstract
A study of the retrieval of sea surface roughness using Global Navigation Satellite System‐Reflectometry (GNSS‐R) from satellite is presented. Delay‐Doppler Maps (DDMs) from the SSTL UK‐DMC satellite are analyzed to retrieve directional Mean Square Slopes (MSSs). Results are compared to theoretically‐derived MSSs and in situ measurements from co‐located buoys of the National Data Buoy Center (NDBC), showing good agreement in most cases. Here, the whole DDM, a more complete source of information, is exploited for the first time using satellite GNSS‐R data. These are potentially able to provide high spatial and temporal sampling, and therefore offer an improved way to observe wind and waves by means of a very modest instrument.
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
Tutorial on Remote Sensing Using GNSS Bistatic Radar of Opportunity
Zavorotny, V. U., Gleason, S., Cardellach, E., & Camps, A. (2014) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2014.2374220 · Cited by 522
Self-citationChew, C. C., & Small, E. E. (2018) · Geophysical Research Letters · doi:10.1029/2018gl077905 · Cited by 392
Spaceborne GNSS reflectometry for ocean winds: First results from the UK TechDemoSat‐1 mission
Foti, G., Gommenginger, C., Jales, P., Unwin, M., Shaw, A., Robertson, C., & Roselló, J. (2015) · Geophysical Research Letters · doi:10.1002/2015gl064204 · Cited by 349
Self-citationCYGNSS: Enabling the Future of Hurricane Prediction [Remote Sensing Satellites]
Ruf, C., Unwin, M., Dickinson, J., Rose, R., Rose, D., Vincent, M., & Lyons, A. (2013) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2013.2260911 · Cited by 256
Metadata
- Authors
- Clarizia, M. P., Gommenginger, C. P., Gleason, S. T., Srokosz, M. A., Galdi, C., & Di Bisceglie, M.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2009-01
- Volume
- 36
- Issue
- 2
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W1660767182
- Cited by
- 184
- References
- 0
- FWCI
- 3.02
- 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: Analysis of GNSS‐R delay‐Doppler maps from the UK‐DMC satellite over the ocean. https://app.cochat.ai/papers/10.1029/2008gl036292
- The paper
- Clarizia, M. P., Gommenginger, C. P., Gleason, S. T., Srokosz, M. A., Galdi, C., & Di Bisceglie, M. (2009). Analysis of GNSS‐R delay‐Doppler maps from the UK‐DMC satellite over the ocean. Geophysical Research Letters. https://doi.org/10.1029/2008gl036292
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.
