基于卫星测量和数值模拟的印度及其周边地区大气CO2的时空变异

A. Chandra, M. Krishnapriya, R. Nayak, V. Dadhwal
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引用次数: 2

摘要

基于戈达德地球观测系统化学(GEOS-Chem)输运模式、卫星观测和现场观测,研究了印度及其周边地区大气CO2的时空变异特征。该模型以2x2.50空间分辨率在1006-0.01 hPa之间的47个垂直层的全球范围内使用。它是由地球观测系统气象场、地表边界通量和不同来源的人为排放驱动的。2006-2013年期间进行了模型运行,每隔三小时存储一次解决方案以供分析。在本文中,我们讨论了模拟大气CO2的季节和年际特征,强调了模式中输入数据集相关的不确定性。模型与卫星观测具有较好的一致性。模拟的CO2在地表附近表现出较强的季节性,其振幅向上呈下降趋势。季节和年周期的振幅在北半球更强,特别是在陆地区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatio-temporal variability of atmospheric CO2 over India and its surroundings based on satellite measurements and numerical modeling
We examined the spatio-temporal variability of atmospheric CO2 over India and its surrounding based on Goddard Earth Observation System Chemical (GEOS-Chem) transport model, satellite and in-situ observations. The model was employed at 2x2.50 spatial resolution over the globe with 47 vertical layers between pressure levels 1006-0.01 hPa. It is driven by GEOS meteorological fields along with surface boundary fluxes and anthropogenic emissions from different sources. The model run was performed for the period 2006-2013 and the solutions at three hourly intervals were stored for the analysis. In this paper, we are discussing the seasonal and inter-annual characteristics of simulated atmospheric CO2 highlighting the uncertainties associated with input data sets in the model. There exist good coherences between model and satellite observation. Simulated CO2 shows strong seasonality near the surface and has showed decrease in its amplitude upward. Amplitudes of the seasonal and annual cycles are stronger over the northern hemisphere, especially over the land regions.
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