TY - JOUR
T1 - Towards an improved representation of carbonaceous aerosols over the Indian monsoon region in a regional climate model: RegCM
AU - Ghosh, Sudipta
AU - Dey, Sagnik
AU - Das, Sushant
AU - Riemer, Nicole
AU - Giuliani, Graziano
AU - Ganguly, Dilip
AU - Venkataraman, Chandra
AU - Giorgi, Filippo
AU - Tripathi, Sachchida Nand
AU - Ramachandran, Srikanthan
AU - Rajesh, Thazhathakal Ayyappen
AU - Gadhavi, Harish
AU - Srivastava, Atul Kumar
N1 - We thank the Aerosol Radiative Forcing over India (ARFINET) project of the Indian Space Research Organisation Geosphere–Biosphere Programme (ISRO GBP) for sharing the BC data. The authors thank the internal review committee of the NCAP-COALESCE project for their comments and suggestions. Sudipta Ghosh acknowledges the Keeling supercomputing facility at the University of Illinois Urbana-Champaign. Sagnik Dey acknowledges IIT Delhi for support in the form of an institute chair fellowship.
This work has been supported by MoEFCC in the framework of the NCAP-COALESCE project (grant no. 14/10/2014-CC). Sudipta Ghosh has been supported by a DST-INSPIRE fellowship (grant no. IF150055) and a Fulbright–Kalam Climate doctoral fellowship. Nicole Riemer has been supported by funding from the NSF (grant no. AGS-1254428) and DOE (grant no. DE-SC0019192). Funding from the Department of Science and Technology – Funds for Improvement of S&T Infrastructure in Universities and Higher Educational Institutions (DST-FIST; grant no. SR/FST/ESII-016/2014) has also been received.
PY - 2023/1/2
Y1 - 2023/1/2
N2 - Mitigation of carbonaceous aerosol emissions is expected to provide climate and health co-benefits. The accurate representation of carbonaceous aerosols in climate models is critical for reducing uncertainties in their climate feedback. In this regard, emission fluxes and aerosol life cycle processes are the two primary sources of uncertainties. Here, we demonstrate that the incorporation of a dynamic ageing scheme and emission estimates that are updated for the local sources improves the representation of carbonaceous aerosols over the Indian monsoon region in a regional climate model, RegCM, compared with its default configuration. The respective mean black carbon (BC) and organic carbon (OC) surface concentrations in 2010 are estimated to be 4.25 and 10.35 μg m-3 over the Indo-Gangetic Plain (IGP) in the augmented model. The BC column burden over the polluted IGP is found to be 2.47 mg m-2, 69.95 % higher than in the default model configuration and much closer to available observations. The anthropogenic aerosol optical depth (AOD) increases by more than 19 % over the IGP due to the model enhancement, also leading to a better agreement with observed AOD. The respective top-of-the-atmosphere, surface, and atmospheric anthropogenic aerosol short-wave radiative forcing are estimated at -0.3, -9.3, and 9.0 W m-2 over the IGP and -0.89, -5.33, and 4.44 W m-2 over Peninsular India (PI). Our results suggest that the combined effect of two modifications leads to maximum improvements in the model performance in regions where emissions play a dominant role.
AB - Mitigation of carbonaceous aerosol emissions is expected to provide climate and health co-benefits. The accurate representation of carbonaceous aerosols in climate models is critical for reducing uncertainties in their climate feedback. In this regard, emission fluxes and aerosol life cycle processes are the two primary sources of uncertainties. Here, we demonstrate that the incorporation of a dynamic ageing scheme and emission estimates that are updated for the local sources improves the representation of carbonaceous aerosols over the Indian monsoon region in a regional climate model, RegCM, compared with its default configuration. The respective mean black carbon (BC) and organic carbon (OC) surface concentrations in 2010 are estimated to be 4.25 and 10.35 μg m-3 over the Indo-Gangetic Plain (IGP) in the augmented model. The BC column burden over the polluted IGP is found to be 2.47 mg m-2, 69.95 % higher than in the default model configuration and much closer to available observations. The anthropogenic aerosol optical depth (AOD) increases by more than 19 % over the IGP due to the model enhancement, also leading to a better agreement with observed AOD. The respective top-of-the-atmosphere, surface, and atmospheric anthropogenic aerosol short-wave radiative forcing are estimated at -0.3, -9.3, and 9.0 W m-2 over the IGP and -0.89, -5.33, and 4.44 W m-2 over Peninsular India (PI). Our results suggest that the combined effect of two modifications leads to maximum improvements in the model performance in regions where emissions play a dominant role.
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U2 - 10.5194/gmd-16-1-2023
DO - 10.5194/gmd-16-1-2023
M3 - Article
SN - 1991-959X
VL - 16
SP - 1
EP - 15
JO - Geoscientific Model Development
JF - Geoscientific Model Development
IS - 1
ER -