Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 448

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar‐orbiting environmental satellites

Open access
Walton, C. C., Pichel, W. G., Sapper, J. F., May, D. A.·1998·Journal of Geophysical Research: Oceans
DOI 10.1029/98jc02370
Open this paper in CoChat — free account

Abstract

Since 1990, the NOAA National Environmental Satellite Data and Information Service (NESDIS) has provided satellite‐derived sea surface temperature (SST) measurements based on nonlinear SST algorithms, using advanced very high resolution radiometer (AVHRR) multiple‐infrared window channel data. This paper develops linear and nonlinear SST algorithms from the radiative transfer equation. It is shown that the nonlinear algorithms are more accurate than linear algorithms but that the functional dependence of the nonlinearity is data dependent. This theoretical discussion (sections 2–4) is followed with a discussion in section 5 of the accuracy over a 9‐year period of the satellite‐derived SST measurements provided by NOAA NESDIS when compared with coincident drifting buoys. Between 1989 and 1998 the global scatter of the daytime satellite SST against drifting buoy measurements has decreased from ∼0.8° to 0.5°C, while the nighttime scatter has remained fairly constant at 0.5°C. An exception to these accuracy measurements occurred after the eruption of Mount Pinatubo in June 1991.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1029/98jc02370

Cites

19 of 19 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 19 references

Cited by

See all 448

Metadata

Authors
Walton, C. C., Pichel, W. G., Sapper, J. F., & May, D. A.
Venue
Journal of Geophysical Research: Oceans
Publisher
American Geophysical Union (AGU)
Published
1998-11-15
Volume
103
Issue
C12
Pages
27999-28012
ISSN
0148-0227 (ISSN-L)
DOI
10.1029/98jc02370
OpenAlex
W2062655401
Cited by
448
References
19
FWCI
3.43
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: The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar‐orbiting environmental satellites. https://app.cochat.ai/papers/10.1029/98jc02370
The paper
Walton, C. C., Pichel, W. G., Sapper, J. F., & May, D. A. (1998). The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar‐orbiting environmental satellites. Journal of Geophysical Research: Oceans. https://doi.org/10.1029/98jc02370

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.