The DOI matches its Crossref record.
The parameters of atmospheric turbidity
Open accessAbstract
The methods for evaluating the atmospheric turbidity parameters, introduced by the present author in 1929-30, are subjected to a critical examination. A method first suggested by M. HEROVANU (1959) is here simplified and expanded, and used for deriving the named parameters in adherence to a procedure described by the present author in a previous paper in this journal (1961). The procedure is applied to the pyrheliometric observations at Potsdam in 1932-36, published by HOELPER (1939) A comparison between the frequency distribution of the coefficient of wave-length dependence α at the high level station Davos and the low level station Potsdam gives results which are discussed in detail. In all the figures of the present paper, where the turbidity coefficients occur, they are multiplied by 103.
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
Variability of aerosol parameters over Kanpur, northern India
Singh, R. P., Dey, S., Tripathi, S. N., Tare, V., & Holben, B. (2004) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2004jd004966 · Cited by 451
Sharma, D., Singh, D., & Kaskaoutis, D. G. (2012) · Advances in Meteorology · doi:10.1155/2012/956814 · Cited by 73
Seasonal characteristics of PM1, PM2.5, and PM10 over Varanasi during 2019–2020
Chauhan, P. K., Kumar, A., Pratap, V., & Singh, A. K. (2022) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2022.909351 · Cited by 45
Spectral Aerosol Optical Depth Retrievals by Ground-Based Fourier Transform Infrared Spectrometry
Barreto, Á., García, O. E., Schneider, M., García, R. D., Hase, F., Sepúlveda, E., Almansa, A. F., Cuevas, E., & Blumenstock, T. (2020) · Remote Sensing · doi:10.3390/rs12193148 · Cited by 18
Metadata
- Authors
- Angström, A.
- Venue
- Tellus A: Dynamic Meteorology and Oceanography
- Publisher
- Stockholm University Press
- Published
- 1964-01-01
- Volume
- 16
- Issue
- 1
- Pages
- 64-75
- ISSN
- 0280-6495 (ISSN-L)
- 1600-0870
- OpenAlex
- W2038653220
- Cited by
- 753
- References
- 0
- FWCI
- 6.70
- Type
- journal article
- Language
- en
- Open access
- hybrid
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 parameters of atmospheric turbidity. https://app.cochat.ai/papers/10.3402/tellusa.v16i1.8885
- The paper
- Angström, A. (1964). The parameters of atmospheric turbidity. Tellus A: Dynamic Meteorology and Oceanography. https://doi.org/10.3402/tellusa.v16i1.8885
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.
