Spatiotemporal Analysis of Southeast Asian Lower Atmosphere using Historical Radiosonde Data
DOI:
https://doi.org/10.48048/tis.2023.6190Keywords:
Southeast Asian Lower Atmosphere, Radiosonde Data, Model Parameterization, Spatial Classification, Climate Variability, Transient SystemAbstract
This study utilized historical radiosonde data from 37 selected WMO stations to analyze the physical properties of Southeast Asian lower atmosphere in both spatial and temporal regimes. The proposed analysis method includes the estimation of static atmospheric parameters and their correlations, the trend analysis from the parameters’ time series, and the extraction of annual and interannual variations from the detrended parameters’ time series. The vertical structure analysis of temperature and pressure “profiles” (i.e., temperature and pressure as functions of altitude at a given time) shows that their residuals from the isentropic atmosphere are altitude-dependent and predictable. The correlation analysis between estimated parameters shows that the heat capacity ratio is a function of the environmental lapse rate, which can be used in the parameterization of the atmospheric model. The molar mass of the Southeast Asian lower atmosphere was also estimated from the parameterization to be 29.65 g/mol, slightly higher than that of the average value of dry air at 28.97 g/mol. The spatial analysis of their average values indicates that the Southeast Asian lower atmosphere can be zonally classified into the Northern Equatorial Subregion (NES) and Central Equatorial Subregion (CES), where their boundary is located between the latitude of 5° N to 10° N. The trend analysis of each parameter’s time series suggests that the Southeast Asian lower atmosphere is a transient system manipulated by climate oscillations and climate change. Their equilibrium values can be estimated using linear regression analysis. The results from the Lomb-Scargle periodogram analysis also suggest that the annual variation originated from the Brewer-Dobson Circulation (BDC) and the interannual variation was manipulated by climate oscillations such as the Quasi-biennial Oscillation (QBO). This knowledge can be used to adjust the isentropic model to suit applications requiring accurate approximation, parameterize the model without sacrificing accuracy, and study the effect of climate oscillations and climate change on the Southeast Asian lower atmosphere.
HIGHLIGHTS
- Time series of Southeast Asian lower atmosphere’s physical parameters were estimated from historical radiosonde data
- Southeast Asian lower atmosphere can be classified into Northern and Central Equatorial Subregions based on physical parameters
- Southeast Asian lower atmosphere is a transient system manipulated by climate oscillations and climate change
GRAPHICAL ABSTRACT 
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