基本信息
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Bio
Lacis is perhaps best known in the international scientific community as the architect of the radiative transfer models that form the backbone of the GISS Climate Modeling Program. His radiative transfer techniques and parameterizations on the correlated k-distribution approach are described in the seminal 1991 paper by Lacis and Oinas (more than 250 citations), and are widely used throughout the research community. The correlated k-distribution approach retains the basic accuracy of line-by-line modeling of multiple scattering, thermal emission, and overlapping gaseous absorption in vertically inhomogeneous atmospheres, but at a small fraction of the line-by-line computing cost, hence the obvious application to climate GCMs. The GISS GCM radiation code is also used as a radiative modeling tool, and has been incorporated into the ISCCP cloud retrieval data stream to enable direct comparison to broadband ERBE radiative flux measurements, thus enabling a satellite-measurement/radiation-model closure study of global top-of-the-atmosphere shortwave and longwave radiative flux distributions.
The GISS climate model is widely recognized as one of the best state-of-the-art GCMs. The radiative transfer code developed by Lacis is the key component that enables the GISS GCM to: (1) provide accurate representation of atmospheric radiative constituents, including the effects of multiple scattering by clouds and aerosols, overlapping absorption by atmospheric gases, and solar zenith angle and wavelength dependent surface properties; (2) maintain self-consistent treatment of solar and thermal energy balance, including the spectral dependence of cloud, aerosol, and surface properties; (3) permit realistic interactions between atmospheric dynamics and radiative constituents, including changes in size and refractive index of hygroscopic aerosols in response to changes in relative humidity; (4) incorporate flexibility to accommodate different vertical and horizontal model resolutions, and the ability to model transient changes in cloud, aerosol, and/or trace gas amount or distribution; (5) include model diagnostics which permit direct evaluation of GCM performance via model generated spectral radiances and fluxes versus satellite and ground-based observations to help identify points for further model development and improved parameterization.
Research Interests
Papers共 298 篇Author StatisticsCo-AuthorSimilar Experts
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期刊级别
合作者
合作机构
Reference Module in Earth Systems and Environmental Sciences (2024)
Oxford open climate changeno. 1 (2023)
Lectures in Climate ChangeStudies of Cloud, Convection and Precipitation Processes Using Satellite Observationspp.151-177, (2022)
arXiv (Cornell University) (2022)
FRONTIERS IN REMOTE SENSING (2022)
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Author Statistics
#Papers: 298
#Citation: 37730
H-Index: 78
G-Index: 192
Sociability: 7
Diversity: 2
Activity: 18
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