نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه علوم غیر زیستی جوی و اقیانوسی، دانشگاه هرمزگان، بندرعباس، ایران
2 گروه علوم غیر زیستی جوی و اقیانوسی، دانشکده علوم و فنون دریایی، دانشگاه هرمزگان، بندرعباس، ایران
3 گروه فیزیک فضا، موسسه ژئوفیزیک، دانشگاه تهران، تهران، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Evaluation of CO2 column concentration of WRF-GHG and TM3 models with GOSAT satellite data over Iran
Introduction:
In the context of global warming and climate change, carbon dioxide (CO2) is known as one of the most important greenhouse gases that has significant effects on the global warming. It is considered as one of the consequences of the accumulation of greenhouse gases. According to the latest Greenhouse Gas Bulletin (WMO, 2017), the global mean concentration of atmospheric CO2 increased to 403.3 ppm in 2016, compared to 280 ppm in the pre-industrial era. Therefore, it is very important to control the amount of CO2 emissions and reduce the effects of human activity on climate warming and understanding the spatial and temporal distribution of atmospheric CO2.Simulation of CO2 concentration in hourly/weekly time intervals and with a good vertical resolution in continental or coastal sites due to the coarse horizontal resolution of global transport models is one of the most important environmental challenges especially in the Middle East.
Materials and Methods:
While compiling information on CO2 emission from different sources, regional numerical simulation with spatial resolution of 30 and 10 km of atmospheric CO2 concentration was carried out using the Weather Research and Forecasting-Chemistry (WRF-GHG) model. The CAMS and ERA5 reanalysis data were used as the chemical and meteorological sources for initial and boundary conditions preparation. The XCO2 information retrieved from GOSAT satellite observations was used as accuracy control information and evaluation of simulated results in CO2 column concentration in hot (August) and cold (February) seasons compared to the output results of TM3 global model.
Results:
The performance of simulations in predicting the concentration of greenhouse gas carbon dioxide (CO2), for the study period of February and August in 2010, showed that the spatial and temporal variability of meteorological variables have been simulated well with the correlation coefficients of86-92%, 67-75% and 76-82% for temperature, wind and relative humidity. The evaluation results showed that the WRF-GHG model performs better than the TM3 global model in terms of statistical errors. On average, the skewness error values in both hot and cold seasons are -0.79 and 0.45 in the regional model, (-0.85 and 1.12) in the global model. The evaluation results showed that the difference between the simulated concentrations and XCO2 observations from the GOSAT satellite could be caused by the underestimation of emissions by human activities, oceanic emissions, and exploitation of fossil fuels. This study showed that the WRF-GHG model is able to simulate well many important features of the atmospheric variables' fields in Southwest Asia (Middle East-Iran region) and its application for future studies in this region is assured.
کلیدواژه‌ها [English]
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