The volume emission rate (VER) of airglow can be used to investigate atmospheric processes. Satellite-based limb measurement of atmosphere is able to obtain the VER profile of airglow with high vertical resolution. However, the traditional one-dimensional retrieval techniques for VER inversion fail to retrieve horizontal structure of VER profile. Thus, the tomographic technique based on the maximum probability is applied to retrieving two-dimensional VER profile of airglow from infrared limb measurement. This technique could process the observed data with low signal-to-noise ratio caused by the observation angle of less than 180° due to the solid nature of the Earth. For saving the processing time and improving the computing speed of VER inversion, serial tables for storing the large sparse matrix for radiance simulation and a large dataset during iterative estimate of VER are presented. The index and weighting factor of line of sight (LOS) through each grid are saved in initial estimate to avoid being computed repeatedly. Furthermore, the product of observed radiance and corresponding weighting factor obtained in initial iteration is stored as weighted observed radiance for the iterative calculation subsequently. Based on the improved algorithm, the VER of airglow is inversed through the tomographic technique. The full width of half maximum (FWHM) of error is 1.78% and the offset of the peak percentage error is 0.22% after 40 iterations for final VER. Comparison of assumed and retrieved VER profiles suggests that VER can be retrieved with a bias of 15% between 10 km and 90 km above the LayerMin (6384 km from the Earth center), and with a bias of 8% for altitude from 30 km to 60 km with vertical resolution of 1 km after 40 iterations. After improvements, the computation speed of VER inversion for once can be improved by 29.6 times for 700 images of 1/3 orbit, and accordingly, the processing time will be reduced from 3 hours and 11 minutes to only 6 minutes. In conclusion, the improvements to tomographic inversio
A new method is employed for retrieving the profiles of trace gas number densities from satellite-based ultraviolet-visible （UV-Vis） spectra of scattered sunlight, which are recorded from the limb atmosphere over a range of tangent heights. The slant column abundances of trace gas along the lines of sight （LOSs） are obtained by differential optical absorption spectroscopy （DOAS）, and the tomographic technique is applied to such column abundances to retrieve two-dimensional （2D） concentration profiles. For validation of the tomographic technique, the slant column abundances are simulated by a tested 2D NO2 profile set with latitudes from 90°S to 90°N between altitudes of 0 and 100 km, and the retrieval of number density profiles on 1-km grids is performed. The results suggest that between ±80°, the retrieved structure is almost the same as the test data. According to the comparison of the selected cross sections of the vertical profiles between retrieved and true concentrations, the NO2 number densities have been retrieved with an accuracy of 15% or better and 5% for altitudes between 25 and 40 km. The validation of the retrieved data shows good agreement between the retrieved and true profiles.
Atmospheric temperature-humidity profiles and land or sea surface temperature are coupled actions in the earth system process. Based on the numerical perturbation form of the atmospheric radiative transfer equation, a physics-based algorithm is pre- sented to integrate four pairs of MODIS measurements from the Terra and Aqua satellites to retrieve simultaneously atmospheric temperature-humidity profile, land-surface temperature and emissivity. Three pairs of MODIS data at two field sites in China, Luancheng and Poyang Lake areas, have been chosen to test and validate the model. Two pairs of atmospheric tem- perature and humidity profiles, land surface temperature (LST), and land surface emissivity (LSE) have been retrieved simul- taneously for every pair of MODIS measurements respectively by the proposed physical algorithm for the study area. The synchronous field measurements at two field sites were conducted to validate the retrieval LST, the differences between the retrieved LST and the field measurements are in the range of -0.15 K and 1.11 K. The emissivity errors of MODIS bands 31 and 32, compared with the EOS MODIS LST/LSE data products (MOD11_L2/MYD11_L2 V5) by the physics-based day/night algorithm, are from 0.0018 to 0.44 and from 0.0058 to 1.24, respectively. Meanwhile, the retrieved atmospheric profiles fully agree with the standard atmospheric temperature-water vapor profiles and with the results from single MODIS data onboard Terra or Aqua satellite by the former two-step physical algorithm. Therefore, the proposed algorithm is robust enough to improve the retrieval accuracy of the atmospheric profiles and land surface parameters. And it will have four pairs of the retrieval results for one area each day by integrating these MODIS measurements from Terra and Aqua satellites.
基于光化学模型模拟氧红外大气（OIRA）波段1.27μm气辉体发射率（VER）,是利用临边OIRA波段卫星数据反演中间层臭氧浓度一个重要的过程。从奇氧族光化学反应出发,基于大气动力学和光化学理论,建立了O2（a1Δg）的光化学模型。通过太阳辐射模拟值,解算了光化学反应系数,进而进行了Odin卫星轨道面内气辉VER的模拟。结果表明,白天气辉VER一般数量级达到106,峰值出现在50~55 km高度范围,而黑夜VER几乎为0。且随天顶角增大,VER达到峰值的高度增大。与利用OdinOSIRIS IR Level1数据反演的同时间VER剖面相比,VER剖面在数值量级、二维结构特征和衰减变化时间点方面,有很高的一致性。而且高纬地区比低纬地区一致性高,特别是80~100km之间稳合度最高,证明使用建立的光化学模型能够反演高纬度地区中间层臭氧。
