The DOI matches its Crossref record.
New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection
Open accessAbstract
The Cyclone Global Navigation Satellite System (CYGNSS) is a new NASA earth science mission scheduled to be launched in 2016 that focuses on tropical cyclones (TCs) and tropical convection. The mission’s two primary objectives are the measurement of ocean surface wind speed with sufficient temporal resolution to resolve short-time-scale processes such as the rapid intensification phase of TC development and the ability of the surface measurements to penetrate through the extremely high precipitation rates typically encountered in the TC inner core. The mission’s goal is to support significant improvements in our ability to forecast TC track, intensity, and storm surge through better observations and, ultimately, better understanding of inner-core processes. CYGNSS meets its temporal sampling objective by deploying a constellation of eight satellites. Its ability to see through heavy precipitation is enabled by its operation as a bistatic radar using low-frequency GPS signals. The mission will deploy an eight-spacecraft constellation in a low-inclination (35°) circular orbit to maximize coverage and sampling in the tropics. Each CYGNSS spacecraft carries a four-channel radar receiver that measures GPS navigation signals scattered by the ocean surface. The mission will measure inner-core surface winds with high temporal resolution and spatial coverage, under all precipitating conditions, and over the full dynamic range of TC wind speeds.
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
Big Data in Natural Disaster Management: A Review
Yu, M., Yang, C., & Li, Y. (2018) · Geosciences · doi:10.3390/geosciences8050165 · Cited by 447
Chew, C. C., & Small, E. E. (2018) · Geophysical Research Letters · doi:10.1029/2018gl077905 · Cited by 392
A New Paradigm in Earth Environmental Monitoring with the CYGNSS Small Satellite Constellation
Ruf, C. S., Chew, C., Lang, T., Morris, M. G., Nave, K., Ridley, A., & Balasubramaniam, R. (2018) · Scientific Reports · doi:10.1038/s41598-018-27127-4 · Cited by 313
Self-citationAnalysis of CYGNSS Data for Soil Moisture Retrieval
Clarizia, M. P., Pierdicca, N., Costantini, F., & Floury, N. (2019) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2019.2895510 · Cited by 277
Self-citation100 Years of Progress in Tropical Cyclone Research
Emanuel, K. (2018) · Meteorological Monographs · doi:10.1175/amsmonographs-d-18-0016.1 · Cited by 258
Metadata
- Authors
- Ruf, C. S., Atlas, R., Chang, P. S., Clarizia, M. P., Garrison, J. L., Gleason, S., Katzberg, S. J., Jelenak, Z., Johnson, J. T., Majumdar, S. J., O’brien, A., Posselt, D. J., Ridley, A. J., Rose, R. J., & Zavorotny, V. U.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2016-03-01
- Volume
- 97
- Issue
- 3
- Pages
- 385-395
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W1577414714
- Cited by
- 406
- References
- 0
- FWCI
- 21.30
- 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: New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection. https://app.cochat.ai/papers/10.1175/bams-d-14-00218.1
- The paper
- Ruf, C. S., Atlas, R., Chang, P. S., Clarizia, M. P., Garrison, J. L., Gleason, S., Katzberg, S. J., Jelenak, Z., Johnson, J. T., Majumdar, S. J., O’brien, A., Posselt, D. J., Ridley, A. J., Rose, R. J., & Zavorotny, V. U. (2016). New Ocean Winds Satellite Mission to Probe Hurricanes and Tropical Convection. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-14-00218.1
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.