Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 251

The DOI matches its Crossref record.

A review of satellite methods to derive surface shortwave irradiance

Pinker, R.T., Frouin, R., Li, Z.·1995·Remote Sensing of Environment

Abstract

Abstract Shortwave radiative fluxes at the earth's surface are of primary interest in climate research because they control the total energy exchange between the atmosphere and the land/ocean surface. Information on these fluxes is needed on a global scale, and therefore, has to be obtained by methods of remote sensing from observations made with instruments carried on satellites. The primary objective of this paper is to review current capabilities and activities to infer these forcing functions from satellite observations and to discuss future needs. Discussed will be fluxes of downward surface shortwave radiation (DSSR) and net surface shortwave radiation (NSSR). Methods for deriving DSSR fluxes on a global scale are becoming operational. They are being used increasingly to address climate issues, such as in determining the role of solar forcing in oceanic and atmospheric processes, hydrological modeling, and in carbon cycling. Based on extensive comparisons with ground-truth it is believed that estimates of DSSR fluxes can be obtained within 20 Wm−2 or better on monthly time scales, for areas of an average climate model grid size. Methods for deriving NSSR fluxes seem promising, but need to be further evaluated.

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 · 10.1016/0034-4257(94)00069-y

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.

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

Cited by

See all 251

Metadata

Authors
Pinker, R. T., Frouin, R., & Li, Z.
Venue
Remote Sensing of Environment
Publisher
Elsevier BV
Published
1995-01
Volume
51
Issue
1
Pages
108-124
ISSN
0034-4257 (ISSN-L)
OpenAlex
W1989941321
Cited by
251
References
0
FWCI
9.00
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: A review of satellite methods to derive surface shortwave irradiance. https://app.cochat.ai/papers/10.1016/0034-4257(94)00069-y
The paper
Pinker, R. T., Frouin, R., & Li, Z. (1995). A review of satellite methods to derive surface shortwave irradiance. Remote Sensing of Environment. https://doi.org/10.1016/0034-4257(94)00069-y

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.