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Estimation of Aerosol Direct Radiative Forcing in Southern India
The Aerosol Direct Radiative Forcing is a prominent parameter which is used to assess the effect of aerosols on temperature. Previous studies have shown the calculation of ADRF under clear sky conditions and model simulations to know the impact on changes in temperature. In the current study, a novel method is implemented to estimate ADRF under all-sky conditions using Modern-Era Retrospective analysis for Research and Applications (MERRA-2) data. The radiation diagnostics of MERRA-2 provide downward short wave and long wave fluxes under all-sky conditions but not the upwelling fraction of longwave radiation after interacting with the atmosphere. The upwelling fraction is estimated by factored method and difference method in this study and the time series is compared with the available downward flux data. The upwelling longwave flux data from the factored method is found to be appropriate in terms of matching the time series when compared to the data from the difference method. The estimation is carried out for five grid points, each from five climate zones of the study area and the times series plots have shown a better insight on the implemented factored method for the estimation of longwave flux. The ADRF is calculated using the available shortwave fluxes and estimated longwave fluxes at three different levels of atmosphere namely Top of Atmosphere (TOA), Surface and within the atmosphere for the year 2019. The ADRF at TOA and at surface level show that the warm semi-arid and sub-tropical oceanic highland climate regions have experienced higher ADRF when compared to the remaining climate zones. The ADRF in the atmosphere shows that positive ADRF was seen in the same climate regions. This illustrates that the rate of heating is more in the warm semi-arid and sub-tropical oceanic highland climate region in the year 2019.
Estimation of Aerosol Direct Radiative Forcing in Southern India
The Aerosol Direct Radiative Forcing is a prominent parameter which is used to assess the effect of aerosols on temperature. Previous studies have shown the calculation of ADRF under clear sky conditions and model simulations to know the impact on changes in temperature. In the current study, a novel method is implemented to estimate ADRF under all-sky conditions using Modern-Era Retrospective analysis for Research and Applications (MERRA-2) data. The radiation diagnostics of MERRA-2 provide downward short wave and long wave fluxes under all-sky conditions but not the upwelling fraction of longwave radiation after interacting with the atmosphere. The upwelling fraction is estimated by factored method and difference method in this study and the time series is compared with the available downward flux data. The upwelling longwave flux data from the factored method is found to be appropriate in terms of matching the time series when compared to the data from the difference method. The estimation is carried out for five grid points, each from five climate zones of the study area and the times series plots have shown a better insight on the implemented factored method for the estimation of longwave flux. The ADRF is calculated using the available shortwave fluxes and estimated longwave fluxes at three different levels of atmosphere namely Top of Atmosphere (TOA), Surface and within the atmosphere for the year 2019. The ADRF at TOA and at surface level show that the warm semi-arid and sub-tropical oceanic highland climate regions have experienced higher ADRF when compared to the remaining climate zones. The ADRF in the atmosphere shows that positive ADRF was seen in the same climate regions. This illustrates that the rate of heating is more in the warm semi-arid and sub-tropical oceanic highland climate region in the year 2019.
Estimation of Aerosol Direct Radiative Forcing in Southern India
Lecture Notes in Civil Engineering
Mesapam, Shashi (editor) / Ohri, Anurag (editor) / Sridhar, Venkataramana (editor) / Tripathi, Nitin Kumar (editor) / Tharani, K. (author) / Pratap, Deva (author) / Venkatareddy, Keesara (author) / Abhilash, P. Teja (author)
International Virtual Conference on Developments and Applications of Geomatics ; 2022
2024-02-27
9 pages
Article/Chapter (Book)
Electronic Resource
English