EOMF-01. Digitalizing Atmospheric Systems

Abstract
Abstract A numerical method is developed to digitalize atmospheric systems into 6 kinds: 1. High pressure, with warm temperature, and high density; 2. Low pressure, with cold temperature, and low density; 3. High pressure, with warm temperature, but low density; 4. Low pressure, with cold temperature, but high density; 5. Low pressure, with warm temperature, but low density; 6. High pressure, with cold temperature, but high density. One can put these 6 kinds in to two modes, where the first 2 kinds as thermal-dynamic systems, as the dot product of temperature and density is great than (or equal to) zero; the other 4 kinds can be treated as non-thermal-dynamic systems, which the dot product of temperature and density is less than zero. Further analysis will put the non-thermal-dynamic systems into two types: 3 and 4 as thermal systems, where dot product of pressure and temperature is great than zero, or say pressure mainly follows the temperature, which means these 2 systems are temperature driven, or thermal driven; 5 and 6 as dynamic systems, where dot product of pressure and density is great than zero, or pressure mainly agrees with density, means these 2 systems are density driven, or dynamic driven. GFS model analysis data are used to calculate the above indices, and its plots show the patterns corresponding to what we know of subtropical high region, tropical low region, and others. Such index did not change with altitude, therefor give clearer picture of atmospheric systems. IFS model analysis data are also used for analysis. Surprisingly, GFS and IFS have very different indices, especially in the upper troposphere. Further study will invest the root cause of the difference, and will try to find a solution to reduce those differences.