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- W2729966468 abstract "Meteorological conditions are influenced everyday by air-bound aerosols and pollution in the atmosphere, and understanding these processes from micro to synoptic scale, is essential for forecasting and creating high resolution weather models. In this study, three different experimental weather models are analysed to provide some understanding on how various meteorological parameters are influenced by modelling atmospheric aerosols. Conclusions surrounding relations between the individual parameters are drawn from the results and discussed with respect to previous studies and knowledge on meteorology and atmospheric chemistry. This analytic observation was made from data covering the Chinese Yangtze River Delta region over the months January and July 2010. This region holds the metropolitan city of Shanghai and experiences a relative subtropical monsoon climate. Examining how the direct and indirect climate effects influence weather parameters through the three simulated experimental models, attempting to draw conclusions connecting aerosol characteristics to the dynamics of the atmosphere. The primarily investigated parameters include surface temperature, cloud cover, precipitation in the form of rain, long and shortwave radiation measured near surface and at top of atmosphere. Differences in solid precipitation between the experiments are very small and will not be covered in this analytic study. Highlighting the relation between certain simulated parameters with respect to urban aerosols for additional observation concerning the climate effects. Furthermore, a modest investigation of a special case day scenario is analyzed to observe how short-term forecasting could be influenced by simulated aerosol modelling in hourly depict data." @default.
- W2729966468 created "2017-07-14" @default.
- W2729966468 creator A5048543790 @default.
- W2729966468 date "2017-01-01" @default.
- W2729966468 modified "2023-09-26" @default.
- W2729966468 title "Analyzing Meteorological Relationships to Aerosols in China" @default.
- W2729966468 hasPublicationYear "2017" @default.
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