A systematic light pollution modelling bias in present night sky brightness predictions-Reference-Cited by-同舟云学术

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A systematic light pollution modelling bias in present night sky brightness predictions

Published:2023-03-20 Issue:3 Volume:7 Page:269-279
ISSN:2397-3366
Container-title:Nature Astronomy
language:en
Short-container-title:Nat Astron

Author:

Kocifaj M.^ORCID,Kómar L.,Lamphar H.^ORCID,Barentine J.^ORCID,Wallner and S.^ORCID

Funder

Agentúra na Podporu Výskumu a Vývoja

Ministry of Education, Science, Research and Sport of the Slovak Republic | Agentúra Ministerstva Školstva, Vedy, Výskumu a Športu SR

EC | Horizon 2020 Framework Programme

Publisher

Springer Science and Business Media LLC

Subject

Astronomy and Astrophysics

Link

https://www.nature.com/articles/s41550-023-01916-y.pdf

Reference71 articles.

1. Green, R. F., Luginbuhl, C. B., Wainscoat, R. J. & Duriscoe, D. The growing threat of light pollution to ground-based observatories. Astron. Astrophys. Rev. 30, 1 (2022).

2. Kyba, C. C. M. Is light pollution getting better or worse? Nat. Astron. 2, 267–269 (2018).

3. Kyba, C. et al. Worldwide variations in artificial skyglow. Sci. Rep. 5, 8409 (2015).

4. Kyba, C. C. M. et al. Artificially lit surface of Earth at night increasing in radiance and extent. Sci. Adv. 3, e1701528 (2017).

5. Barentine, J. C. et al. Skyglow changes over Tucson, Arizona, resulting from a municipal LED street lighting conversion. J. Quant. Spectrosc. Radiat. Transf. 212, 10–23 (2018).

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