Sensitivity of input parameters to modelling of atmospheric transmission of long-wave infrared radiation at sea under warm and humid conditions

Thomassen, Jan B.; Rheenen, Arthur D. van; Madsen, Eirik Blix; Pszczel, Mark; Bilton, Nicola; Pushkarov, Oleksandr

doi:10.1117/12.2324976

Cited by 1 publication

(1 citation statement)

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“…These factors serve as the theoretical support for constructing or optimizing models and predictive techniques for infrared radiation characteristics in marine scenes. Previous research by Jan Thomassen conducted a sensitivity analysis on transmittance experiments of long-wave infrared atmospheric paths and concluded that target temperature has a significant influence on the experimental results [1] .…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of infrared radiation characteristics in the tropical maritime atmosphere

Yuan,

Mao,

Liu

2023

Third International Computing Imaging Conference (CITA 2023)

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A variance-based sensitivity analysis was conducted on a model of atmospheric radiative transfer in tropical marine scenes to identify key factors affecting transmittance and path radiance. The analysis focused on eight input parameters including temperature, humidity, ozone concentration, and others that are relevant to the model. The fifth generation ECMWF reanalysis (ERA5) dataset for a specific oceanic region (110°E, 18°N) was used to ensure accurate representation of data variations. Using Sobol sequences, input samples were generated, and the Monte Carlo estimator provided sensitivity indices for quantitative analysis. Under tropical maritime atmospheric conditions with clear skies and no clouds, the results indicate that within the wavelength range of 3-5μm, visibility and humidity generally have a significant impact on transmittance, while temperature significantly affects path radiation. Within the wavelength range of 8-12μm, the sensitivity analysis results for transmittance and path radiation are similar, showing that relative humidity has the most significant impact.

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Section: Introductionmentioning

confidence: 99%