The infrared band is an electromagnetic band between microwave and visible light, which covers the thermal radiation emitted by objects at room temperature. Its unique properties can be widely used in fields such as detection and communication. When it is under sea fog conditions, due to the large amount of water vapor and droplets within the sea fog range, the electromagnetic wave energy in the infrared band is severely attenuated by the absorption and scattering of water vapor, resulting in a serious decrease or even failure of the infrared electronic information system. The Arctic shipping route is the shortest straight-line distance from North Asian countries to North American and Nordic countries. In this region, sea fog is frequent, and there are few numerical simulations (forecasts) of sea fog in the Arctic region. There are even fewer reports on infrared wave propagation attenuation forecasts based on sea fog conditions. With the increasing demand for Arctic applications and the continuous development of technology, Arctic sea fog forecasting and infrared wave propagation attenuation forecasting under sea fog conditions are issues that must be faced and studied. This article addresses the need for performance prediction of infrared wave electronic systems in Arctic navigation and aviation activities, and achieves prediction of infrared wave propagation attenuation under Arctic sea fog. Firstly, this article uses the polar numerical model PWRF (polar WRF) to improve the Noah land surface process scheme, long wave radiation scheme, RRTMG scheme, and optimize the feature height and integration steps. The infrared wave propagation attenuation under Arctic sea fog was successfully forecasted (simulated) to forecast (simulate) the infrared wave propagation attenuation under Arctic sea fog when the Chinese fourth Arctic research team encountered an accident in the Arctic Ocean on the polar research ship "Xuelong". Secondly, due to the complexity of measuring fog droplet spectra and the difficulty of ensuring real-time accuracy, this paper further utilizes the size distribution relationship between advection fog and radiation fog obtained from visibility and fog liquid water content to derive the fog droplet spectra of sea fog, usually advection fog. Thirdly, based on the forecast information of the occurrence area of sea fog and the spectral characteristics of fog droplets, as well as the theory of Mie scattering and Rayleigh scattering methods, this article has achieved the forecast of high and low attenuation effects of far, medium, and near infrared wavelengths. When the infrared wavelength is equivalent to the size of the fog droplet, the Mie scattering attenuation relationship equation is used to predict the infrared wavelength of sea fog attenuation, and the infrared wavelength of sea fog attenuation is predicted. Through Rayleigh scattering, the wavelength of some wavelengths is greater than the size of the fog droplet, and the wavelength of some wavelengths is greater than the size of the droplet. The ejection of ocean waves was achieved through Rayleigh scattering method. Fourthly, the attenuation fitting results were compared with the measured infrared wavelength of 10.6 µm in relevant literature. Under the same conditions, the 24-hour prediction error of this method was only about 4%, ensuring a certain level of accuracy. Through comparative analysis, for waves with the same moisture content greater than or equal to 0.5 g·m^-3 or above, the difference in forecasted wavelength attenuation values between the high and low ends of the far-infrared band is the largest, followed by the high and low ends of the mid infrared band, and the difference between the high and low ends of the near-infrared band is the smallest(Fig.3 and Fig.4); By comparing the attenuation fitting results with 10.6 µm infrared wavelength measurement data, this method can accurately forecast 24-hour forecasts under the same conditions. By comparing the attenuation fitted with infrared data measured at 10.6 µm wavelength in relevant literature, under the same conditions, the 24-hour forecast error of this method is only about 4%(Fig.4). This indicates that the infrared attenuation forecast method based on the advection wave scattering method is reasonable and reliable, with a certain degree of accuracy guarantee. This provides forecast support for the pre assessment of the effectiveness of infrared systems in the Arctic region, as well as for effective use planning and maximizing their effectiveness.