The accuracy of SST retrievals from AATSR: An initial assessment through geophysical validation against in situ radiometers, buoys and other SST data sets
Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Where dust events are not flagged as cloud in the retrieval, they tend to bias the retrieved SST cold.
“Where dust events are not flagged as cloud in the retrieval, they tend to bias the retrieved SST cold2,61,62 and can cause an artificial timescale in the SSTA correlation, which then appears as short-term SSTA persistence.”
From Tendencies, variability and persistence of sea surface temperature anomalies (2020) · cites this paper as [61]
Dust events not flagged as cloud can cause an artificial timescale in the SSTA correlation, which then appears as short-term SSTA persistence.
“Where dust events are not flagged as cloud in the retrieval, they tend to bias the retrieved SST cold2,61,62 and can cause an artificial timescale in the SSTA correlation, which then appears as short-term SSTA persistence.”
From Tendencies, variability and persistence of sea surface temperature anomalies (2020) · cites this paper as [61]
This short-term SSTA persistence in the equatorial Atlantic west of Africa is an artefact of the SST data, where the retrieval is not robust to high concentrations of desert dust.
“This is an artefact of the SST data, where the retrieval is not robust to high concentrations of desert dust.”
From Tendencies, variability and persistence of sea surface temperature anomalies (2020) · cites this paper as [61]
Cited by
Sorted by citations
The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system
Donlon, C. J., Martin, M., Stark, J., Roberts-Jones, J., Fiedler, E., & Wimmer, W. (2012) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.10.017 · Cited by 1,394 · see citing works
Self-citationTendencies, variability and persistence of sea surface temperature anomalies
Bulgin, C. E., Merchant, C. J., & Ferreira, D. (2020) · Scientific Reports · doi:10.1038/s41598-020-64785-9 · Cited by 150 · see citing works
Self-citationInter-Comparisons of Daily Sea Surface Temperatures and In-Situ Temperatures in the Coastal Regions
Woo, H.-J., & Park, K.-A. (2020) · Remote Sensing · doi:10.3390/rs12101592 · Cited by 51 · see citing works
- Authors
- Corlett, G. K., Barton, I. J., Donlon, C. J., Edwards, M. C., Good, S. A., Horrocks, L. A., Llewellyn-Jones, D. T., Merchant, C. J., Minnett, P. J., Nightingale, T. J., Noyes, E. J., O’Carroll, A. G., Remedios, J. J., Robinson, I. S., Saunders, R. W., & Watts, J. G.
- Affiliations
- University of Leicester (GB)
- Met Office (GB)
- University of Edinburgh (GB)
- University of Miami (US)
- Rutherford Appleton Laboratory (GB)
- University of Southampton (GB)
- Corresponding author
- Corlett, G.K.
- ORCID
- Venue
- Advances in Space Research
- Publisher
- Elsevier BV
- Published
- 2006
- Volume
- 37
- Issue
- 4
- Pages
- 764-769
- ISSN
- 0273-1177 (ISSN-L)
- OpenAlex
- W2019583228
- Cited by
- 61
- References
- 0
- Citations by year
- 2025: 1 · 2022: 1 · 2021: 2 · 2020: 4 · 2019: 2 · 2018: 1 · 2017: 2 · 2016: 5 · 2015: 1 · 2014: 4 · 2013: 4 · 2012: 4
- FWCI
- 4.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Advances in Space Research (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Science and Technology Facilities Council (submittedVersion)
- Funders
- Natural Environment Research Council (NE/D001129/1)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
- Keywords
- sea surface temperature, AATSR, Envisat, buoys, ATSR, satellite SST, warm bias, climate monitoring
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 ›
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