Evaluation of CO2 column concentration of WRF-GHG and TM3 models with GOSAT satellite data over Iran

Articles in Press

Document Type : Research Article

Authors

1 Ph.D. of Meteorology, Department of Marine and Atmospheric Science (non-Biologic), University of Hormozgn, Bandar Abbas, Iran

2 Professor, Department of Marine and Atmospheric Science (non-Biologic), University of Hormozgan, Bandar Abbas, Iran

3 Ph.D. of Meteorology, Institute of Geophysics, University of Tehran, Tehran, Iran

Abstract

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. 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. Due to the coarse horizontal resolution of global transport models, simulation of CO2 concentration in hourly/weekly time intervals and with a good vertical resolution in continental or coastal sites is one of the most important environmental challenges especially in the Middle East.
   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. 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.
  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 of 86-92%, 75-67% and 76-82% for temperature, wind and relative humidity, respectively. 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 (-0.85 and 1.12) in the regional (global) model, respectively. 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 produced 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); then its application for future studies in this region is assured.
 

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References

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Iranian Journal of Geophysics

Articles in Press, Accepted Manuscript
Available Online from 26 September 2023

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