His primary areas of investigation include Radiative transfer, Meteorology, Monte Carlo method, Environmental science and Atmospheric sciences. His Radiative transfer study incorporates themes from Probability density function, Albedo, Cloud fraction, Parametrization and Remote sensing. His research integrates issues of Radar, Satellite and Aerosol in his study of Remote sensing.
His Meteorology study frequently links to other fields, such as Radiant heat transfer. His Monte Carlo method research incorporates elements of Optical depth, Sampling, Parametrization, Statistical physics and Atmospheric radiative transfer codes. His work in the fields of Forcing overlaps with other areas such as Variable, Carbon dioxide equivalent, Greenhouse effect and Carbon dioxide in Earth's atmosphere.
Radiative transfer, Environmental science, Meteorology, Remote sensing and Atmospheric sciences are his primary areas of study. The concepts of his Radiative transfer study are interwoven with issues in Computational physics, Monte Carlo method and Cloud fraction. His work on Variance reduction as part of general Monte Carlo method research is frequently linked to Noise, thereby connecting diverse disciplines of science.
His study in Meteorology is interdisciplinary in nature, drawing from both Lidar, Radiation, Parametrization and Cloud base. Howard W. Barker interconnects Optical depth, Aerosol and Satellite in the investigation of issues within Remote sensing. He combines subjects such as Absorption, Convection and Water vapor with his study of Atmospheric sciences.
The scientist’s investigation covers issues in Radiative transfer, Environmental science, Remote sensing, Meteorology and Satellite. His studies deal with areas such as Atmosphere, Monte Carlo method, Computational physics and Atmospheric sciences as well as Radiative transfer. The Atmospheric sciences study combines topics in areas such as Atmospheric radiative transfer codes, Parametrization, Convection and Cloud fraction.
His Remote sensing research includes themes of Nadir and Aerosol. In general Meteorology study, his work on Numerical weather prediction often relates to the realm of Scale, thereby connecting several areas of interest. Howard W. Barker has included themes like Albedo, Reflectivity, Cloud albedo and Radiative effect in his Shortwave study.
His main research concerns Radiative transfer, Remote sensing, Meteorology, Environmental science and Satellite. His biological study spans a wide range of topics, including Atmosphere, Atmospheric sciences and Computational physics. His Atmospheric sciences research is multidisciplinary, relying on both Monte Carlo method, Shortwave radiation and Trigonometric functions.
His Remote sensing research is multidisciplinary, incorporating elements of Forward scatter and SPHERES. His work carried out in the field of Meteorology brings together such families of science as Radar and Radiometer. Howard W. Barker integrates Environmental science with Lidar in his study.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Cloud feedback in atmospheric general circulation models: An update
R. D. Cess;M. H. Zhang;W. J. Ingram;G. L. Potter.
Journal of Geophysical Research (1996)
A fast, flexible, approximate technique for computing radiative transfer in inhomogeneous cloud fields
Robert Pincus;Howard W. Barker;Jean-Jacques Morcrette.
Journal of Geophysical Research (2003)
The EarthCARE Satellite: The Next Step Forward in Global Measurements of Clouds, Aerosols, Precipitation, and Radiation
A. J. Illingworth;H. W. Barker;A. Beljaars;Marie Ceccaldi.
Bulletin of the American Meteorological Society (2015)
Impact of a New Radiation Package, McRad, in the ECMWF Integrated Forecasting System
J. J. Morcrette;H. W. Barker;J. N. S. Cole;M. J. Iacono.
Monthly Weather Review (2008)
A Parameterization for Computing Grid-Averaged Solar Fluxes for Inhomogeneous Marine Boundary Layer Clouds. Part II: Validation Using Satellite Data.
Howard W. Barker;Bruce A. Wiellicki;Lindsay Parker.
Journal of the Atmospheric Sciences (1996)
A radiation algorithm with correlated-k distribution. Part I: Local thermal equilibrium
J. Li;H. W. Barker.
Journal of the Atmospheric Sciences (2005)
The I3RC - Bringing Together the Most Advanced Radiative Transfer Tools for Cloudy Atmospheres
Robert F. Cahalan;Lazaros Oreopoulos;Lazaros Oreopoulos;Alexander Marshak;Alexander Marshak;K. Franklin Evans.
Bulletin of the American Meteorological Society (2005)
A Parameterization for Computing Grid-Averaged Solar Fluxes for Inhomogeneous Marine Boundary Layer Clouds. Part I: Methodology and Homogeneous Biases
Howard W. Barker.
Journal of the Atmospheric Sciences (1996)
The variable effect of clouds on atmospheric absorption of solar radiation
Zhanqing Li;Howard W. Barker;Louis Moreau.
Stochastic generation of subgrid-scale cloudy columns for large-scale models
Petri Räisänen;Howard W. Barker;Marat F. Khairoutdinov;Jiangnan Li.
Quarterly Journal of the Royal Meteorological Society (2004)
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