The effects of climate change on EO/IR propagation using CMIP6 global atmospheric forecasting simulations

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-25
DOI
https://doi.org/10.1038/s41598-025-99306-z
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effects of climate change on EO/IR propagation using CMIP6 global atmospheric forecasting simulations

Adam Willitsford, Parker Coye
Scientific Reports
Atmospheric aerosols and clouds
article

The effects of climate change on EO/IR propagation using CMIP6 global atmospheric forecasting simulations

Adam Willitsford, Parker Coye
article en

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.

Scientific ReportsVol. 15(1)
Johns Hopkins University (US), Johns Hopkins University Applied Physics Laboratory (US)
Climate action
Openalex Percentile: Top 91%
Atmospheric aerosols and clouds
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.