ArticleScientific reports2025
The effects of climate change on EO/IR propagation using CMIP6 global atmospheric forecasting simulations.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A national-scale assessment of the impact of canals on urban temperatures.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate change-driven atmospheric effects are of particular concern to those who operate electro-optic and infrared (EO/IR) sensors, as atmospheric constituents such as water vapor, carbon dioxide, and aerosols drive the absorption and scattering effects necessary to characterize deployed optical system performance. Current models of EO/IR propagation are fed by statistics built off the historical state of the atmosphere by utilizing ground based observations, satellite data, or reanalysis datasets. Such methods are effective at characterizing EO/IR propagation for historical time periods, but do little to inform decisions related to future sensor deployment. This work utilizes future projections of atmospheric variables from the Coupled Model Intercomparison Project (CMIP6), an international collection of climate models, to characterize atmospheric transmittance, a metric closely tied to EO/IR performance. Analysis of regional transmittance (particularly in the long-wave infrared) reveals drops by as much as 20% from 2015-2100 for a path as short as 2 km - this is nearly a doubling of the band averaged extinction coefficient.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.