S
S. Kulkarni
Researcher at University of Iowa
Publications - 24
Citations - 981
S. Kulkarni is an academic researcher from University of Iowa. The author has contributed to research in topics: Aerosol & Climate change. The author has an hindex of 14, co-authored 24 publications receiving 900 citations. Previous affiliations of S. Kulkarni include California Air Resources Board & University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
Aerosol direct radiative effects over the northwest Atlantic, northwest Pacific, and North Indian Oceans: estimates based on in-situ chemical and optical measurements and chemical transport modeling
Timothy S. Bates,Theodore L. Anderson,Tahllee Baynard,Tami C. Bond,Olivier Boucher,Gregory R. Carmichael,Antony D. Clarke,Carynelisa Erlick,Huan Guo,Larry W. Horowitz,Steven G. Howell,S. Kulkarni,Hal Maring,Allison McComiskey,Ann M. Middlebrook,Kevin J. Noone,Colin D. O'Dowd,John A. Ogren,Joyce E. Penner,Patricia K. Quinn,A. R. Ravishankara,Dennis L. Savoie,Stephen E. Schwartz,Yohei Shinozuka,Youhua Tang,Rodney J. Weber,Yonghua Wu +26 more
TL;DR: The largest uncertainty in the radiative forcing of climate change over the industrial era is due to aerosols, a substantial fraction of which is the uncertainty associated with scattering and absorption of shortwave (solar) radiation by anthropogenic aerosols in cloud-free conditions as mentioned in this paper.
Journal ArticleDOI
Asian aerosols: current and year 2030 distributions and implications to human health and regional climate change.
Gregory R. Carmichael,B. Adhikary,S. Kulkarni,A. D'Allura,Youhua Tang,David G. Streets,Qiang Zhang,Tami C. Bond,Veerabhadran Ramanathan,Aditsuda Jamroensan,P. Marrapu +10 more
TL;DR: It is found that in 2030 the PM2.5 levels in significant parts of Asia will increase and exacerbate health impacts; but the aerosols will have a larger masking effect on radiative forcing, due to a decrease in BC and an increase in SO2 emissions.
Aerosol Direct Radiative Effects Over the Northwest Atlantic, Northwest Pacific, and North Indian Oceans: Estimates Based on In-situ Chemical and Optical Measurements and Chemical Transport Modeling
Timothy S. Bates,Theodore L. Anderson,Tahllee Baynard,Tami C. Bond,Olivier Boucher,Gregory R. Carmichael,Antony D. Clarke,Carynelisa Erlick,Huan Guo,Larry W. Horowitz,Steven G. Howell,S. Kulkarni,Hal Maring,Allison McComiskey,Ann M. Middlebrook,Kevin J. Noone,Colin D. O'Dowd,John A. Ogren,Joyce E. Penner,Patricia K. Quinn,A. R. Ravishankara,Dennis L. Savoie,Stephen E. Schwartz,Yohei Shinozuka,Youhua Tang,Rodney J. Weber,Yonghua Wu +26 more
TL;DR: The largest uncertainty in the radiative forcing of climate change over the industrial era is due to aerosols, a substantial fraction of which is the uncertainty associated with scattering and absorption of shortwave (solar) radiation by anthropogenic aerosols in cloud-free conditions.
Journal ArticleDOI
A regional scale chemical transport modeling of Asian aerosols with data assimilation of AOD observations using optimal interpolation technique
B. Adhikary,S. Kulkarni,A. D'Allura,Youhua Tang,Tianfeng Chai,L. R. Leung,Yun Qian,Chul Eddy Chung,Veerabhadran Ramanathan,Gregory R. Carmichael +9 more
TL;DR: In this paper, a regional chemical transport model assimilated with monthly mean satellite and ground-based aerosol optical depth (AOD) observations was used to produce three dimensional distributions of aerosols throughout Asia for a period of four years.
Journal ArticleDOI
Anthropogenic aerosol radiative forcing in Asia derived from regional models with atmospheric and aerosol data assimilation
Chul Eddy Chung,Veerabhadran Ramanathan,Gregory R. Carmichael,S. Kulkarni,Youhua Tang,B. Adhikary,B. Adhikary,L. R. Leung,Yun Qian +8 more
TL;DR: In this article, an estimate of monthly 3D aerosol solar heating rates and surface solar fluxes in Asia from 2001 to 2004 is described, which is based on an Asian aerosol assimilation project, in which a PNNL regional model bounded by the NCEP reanalyses was used to provide meteorology, MODIS and AERONET data were integrated for aerosol observations, and the Iowa aerosol/chemistry model STEM-2K1 used the meteorology and assimilated aerosol data, and 3-D (X-Y-Z