Abstract
Abstract. We propose an indirect method for retrieving a number of significant minor gas constituents of the atmosphere. The technique is based on the use of so-called basic dynamic models of atmospheric photochemical systems simplified mathematically correctly in a special manner. It is applied to a mesospheric system describing day evolution of key minor gas constituents at these heights. We take as initial data experimental data of the CRISTA-MAHRSI satellite campaign of August 1997 during which ozone and hydroxyl (O3 and OH) concentrations were measured simultaneously. It is demonstrated that the use of the basic dynamic model allows retrieval of vertical distribution (within the 53–85 km range of heights) of water vapor concentration that is one of the control parameters of the mesospheric photochemistry.
Highlights
Observation of minor gas constituents (MGC) is traditionally one of the fundamental problems in investigations of the Earth’s atmosphere
We take as initial data experimental data of the CRISTA-MAHRSI satellite campaign of August 1997 during which ozone and hydroxyl (O3 and OH) concentrations were measured simultaneously
We demonstrate that the use of the mesospheric photochemical system (MPCS) basic dynamic models (BDM) allows retrieval of vertical distribution of H2O concentration that is one of the control parameters of the MPCS
Summary
Observation of minor gas constituents (MGC) is traditionally one of the fundamental problems in investigations of the Earth’s atmosphere. As the number of MGCs that can be measured directly and regularly is still rather scanty, indirect methods are a useful tool They are based on using a priori knowledge about possible relationship between measured and inferred characteristics and allow obtaining additional information about the most significant atmospheric MGCs from available experimental data. Mathematical models of photochemical systems (equations of chemical kinetics for MGC concentrations involving transport processes) may be regarded to be the main candidates for a “supplier” of a priori relationships. These models have been developed and verified for most regions of the Earth’s atmosphere. The key idea of constructing such models is to divide variables of the system (concentrations of chemical constituents) into two groups according to the relationship between characteristic time of their evolution, “τ ”, and time scale of the studied
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