The automated software complex Meteo+ for modeling short-term weather forecasts and assessing ground-level air quality in urban agglomeration

Abstract

The paper describes the infrastructure scientific informationcomputing web-system under development for the preparation, modeling, visualization and analysis of short-term weather forecast data to assess the quality of atmospheric surface air over a large urban agglomeration. The unified automated software complex Meteo+ under consideration is primarily designed for automation and management of infrastructure processes of collection, storage and analysis of the resulting numerical weather prediction modeling and atmospheric air quality assessment results. A common unified systematization of resources within the Meteo+ software package enables professionals in computational geophysics, who are engaged in collective development and improvement of their own computational models TSUNM3 and CTM, to focus on solving their application tasks, minimizing technical routine work on preparation, conducting and supporting calculations, and subsequent system storage, analysis and exchange of calculation results. In its final form, the unified automated Meteo+ software package described will offer: convenient online preparation and execution of computational models (TSUNM3, CTM and third-party WRF, CAMx); enhanced management and storage of computational results; and analysis and interpretation of data sets in tabular or graphical views.