P
Prasad S. Kasibhatla
Researcher at Duke University
Publications - 104
Citations - 19255
Prasad S. Kasibhatla is an academic researcher from Duke University. The author has contributed to research in topics: Deforestation & Chemical transport model. The author has an hindex of 55, co-authored 104 publications receiving 17078 citations. Previous affiliations of Prasad S. Kasibhatla include University of Kentucky & Georgia Institute of Technology.
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Journal ArticleDOI
Analysis of regional budgets of sulfur species modeled for the COSAM exercise
Geert-Jan Roelofs,Prasad S. Kasibhatla,Leonard A. Barrie,Daniel Bergmann,C. Bridgeman,Mian Chin,Jesper H. Christensen,Richard C. Easter,Johann Feichter,Ad Jeuken,Erik Kjellström,Dorothy Koch,C. Land,Ulrike Lohmann,P. Rasch +14 more
TL;DR: The COSAM intercomparison exercise as discussed by the authors was organized to compare and evaluate the performance of global sulfur cycle models, and eleven models participated, and from these models the simulated surface concentrations, vertical profiles and budget terms were submitted.
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Reconciling Oil Palm Expansion and Climate Change Mitigation in Kalimantan, Indonesia
TL;DR: It is concluded that a carefully designed and implemented oil palm expansion plan can contribute significantly towards Indonesia’s national emissions mitigation goal, while allowing oil palm area to double.
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A study of DMS oxidation in the tropics : Comparison of Christmas Island field observations of DMS, SO2, and DMSO with model simulations
G. Chen,Douglas D. Davis,Prasad S. Kasibhatla,Alan R. Bandy,Donald C. Thornton,Barry J. Huebert,Antony D. Clarke,Byron Blomquist +7 more
TL;DR: In this paper, a comparison between model simulations, based on current sulfurmechanisms, with the DMS, SO2 and DMSOobservational data reported by Bandy et al. in their 1994 Christmas Island field study was conducted.
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NOY from sub‐sonic aircraft emissions: A Global three‐dimensional model study
TL;DR: In this article, the authors used the Geophysical Fluid Dynamics Laboratory global chemical transport model (GCTM) to calculate the impact of aircraft emissions of reactive nitrogen compounds (NO[sub y]) in the atmosphere.
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Is aerosol production within the remote marine boundary layer sufficient to maintain observed concentrations
TL;DR: In this paper, the authors focus on the potential of H2SO4 nucleation within the marine boundary layer (MBL) to supply these particles and evaluate the effect of natural deviations from average MBL conditions on the highly nonlinear aerosol system.