Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,302

The DOI matches its Crossref record.

Spatial and seasonal trends in particle concentration and optical extinction in the United States

Malm, William C., Sisler, James F., Huffman, Dale, Eldred, Robert A., Cahill, Thomas A.·1994·Journal of Geophysical Research: Atmospheres

Abstract

In the spring of 1988 an interagency consortium of Federal Land Managers and the Environmental Protection Agency initiated a national visibility and aerosol monitoring network to track spatial and temporal trends of visibility and visibility‐reducing particles. The monitoring network consists of 36 stations located mostly in the western United States. The major visibility‐reducing aerosol species, sulfates, nitrates, organics, light‐absorbing carbon, and wind‐blown dust are monitored as well as light scattering and extinction. Sulfates and organics are responsible for most of the extinction at most locations throughout the United States, while at sites in southern California nitrates are dominant. In the eastern United States, sulfates contribute to about two thirds of the extinction. In almost all cases, extinction and the major aerosol types are highest in the summer and lowest during the winter months.

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 · 10.1029/93jd02916

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 1,302

Metadata

Authors
Malm, W. C., Sisler, J. F., Huffman, D., Eldred, R. A., & Cahill, T. A.
Venue
Journal of Geophysical Research: Atmospheres
Published
1994-01-20
Volume
99
Issue
D1
Pages
1347-1370
ISSN
0148-0227 (ISSN-L)
OpenAlex
W2158989459
Cited by
1,302
References
0
FWCI
13.20
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: Spatial and seasonal trends in particle concentration and optical extinction in the United States. https://app.cochat.ai/papers/10.1029/93jd02916
The paper
Malm, W. C., Sisler, J. F., Huffman, D., Eldred, R. A., & Cahill, T. A. (1994). Spatial and seasonal trends in particle concentration and optical extinction in the United States. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/93jd02916

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.