KEYWORDS: Mars, Solar radiation, Solar radiation models, Atmospheric modeling, Atmospheric optics, Data modeling, Earth's atmosphere, Databases, Atmospheric sciences, Solar energy
Through the investigation and analysis of the characteristics of Martian atmosphere, the distribution of solar energy outside the Martian atmosphere is calculated. Using the fast calculation algorithm to calculate Mars surface radiation, a fast calculation mode is established, and a visual software interface is written. The radiation under given conditions can be calculated by directly inputting the location, time, solar zenith angle, surface albedo and light depth. The calculation results of the fast calculation mode are compared with the other two models, which increases the credibility of the calculation results. The calculation results are used to analyze the variation of surface radiation of Mars with solar zenith angle and light depth. This study will help researchers to predict the location and time of landing of Mars detectors, and provide theoretical support for analyzing the solar power generation situation of Mars. To ensure the successful implementation of the Mars exploration program.
Large amounts of snow on the earth play an important role in atmospheric circulation and radiant energy budget in earth-atmosphere system. The spatial and temporal distribution of snow and the snow albedo determine the calculation of radiation energy budget. MODIS product provides snow cover data and Discrete Ordinate Radiative Transfer method can calculate snow albedo at ultraviolet, visible, infrared wavelengths. The monthly average snow cover ratio of grid cells in MOD10CM data sets from 2004 to 2018 was analyzed. The results show that the areas in which there are more months with snow in winter are high latitudes that include the arctic. The areas in which there are more months with snow in summer are Greenland and southern South America. The months with snow cover are positively correlated with the average snow cover ratio. DISORT model simulated the snow albedo under different radii, different snow thicknesses and different impurity concentrations. The larger the snow grain size, the lower the snow albedo and the lower the infinite depth of snow. Impurities in snow can reduce snow albedo and infinite depth of snow thickness. When the dust is 100ppmv in snow, the snow albedo with a radius of 50μm and 1000μm decreases by 10% and 40%, respectively, compared with albedo of pure snow. The spatial and temporal distribution of snow in a particular region and the albedo simulation of snow are helpful for the calculation of the radiation energy budget in this region and investigating the association between them in further study.
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