• Publications
  • Influence
PROF. H. A. WILSON is best known for his experimental researches, but this book shows that he is also able to give clear expositions of the more theoretical aspects of modern physics. As he has
Catalytic destruction of stratospheric ozone
This paper presents a review of the main ozone destroying catalytic cycles operating in the stratosphere. Particular attention is paid to the kinetic aspects of these cycles such as the rate limiting
Lagrangian four‐dimensional variational data assimilation of chemical species
For the first time, the method of four-dimensional variational data assimilation is applied to the analysis of chemically active trace species. By combining observations with a numerical model to
Carbon aerosols and atmospheric photochemistry
Carbon aerosols are produced by all combustion processes. This paper investigates some possible effects of heterogeneous reduction of atmospheric constituents on carbon aerosols. Reduction of HNO 3 ,
Gas phase atmospheric bromine photochemistry
This paper reviews the current knowledge of gas phase bromine photochemistry and presents a budget study of atmospheric bromine species. The effectiveness of the ozone catalytic loss cycles involving
Heterogeneous atmospheric bromine chemistry
This paper considers the effect of heterogeneous bromine reactions on stratospheric photochemistry. We have considered reactions on both sulfate aerosols and on polar stratospheric clouds (PSCs). It
Observations of Middle Atmosphere CO from theUARSISAMS during the Early Northern Winter 1991/92
Abstract Structure and kinematics of carbon monoxide in the upper stratosphere and lower mesosphere (10–0.03 hPa) are studied for the early northern winter 1991/92 using the Upper Atmosphere Research
Diffuse radiation, twilight, and photochemistry — I
A photochemical scheme which includes a detailed treatment of multiple scattering up to solar zenith angles of 96° (developed for use in a GCM) has been used to study partitioning within chemical
Machine Learning and Bias Correction of MODIS Aerosol Optical Depth
The machine-learning approaches suggest a link between the MODIS AOD biases and surface type, and MODIS-derived AOD may be showing dependence on the surface type.