Analyzing nearly four decades of historical radiosonde observations of tropical tropopause layer and cold-point temperatures

An understanding of historical trends and variability in the thermal structure of the tropical tropopause layer (TTL) is important for assessing climate and investigating TTL processes. In particular, the cold-point tropopause (CPT) plays an important role in stratospheric dehydration, the potential intensities of tropical cyclones, and other forms of stratospheric-tropospheric coupling. Uncertainties and biases of in-situ observations, however, make long-term estimation of TTL temperatures challenging, especially in the early decades of the satellite era. The goal of this study is to construct and analyze a long-term record of radiosondes temperatures with minimal biases. Temperature observations from 1979-present are drawn from the Integrated Global Radiosonde Archive version 2 (IGRA2). Vertically integrated radiosonde temperatures are compared with brightness temperatures from the Microwave Sounding Units (MSU) Lower Stratosphere channel to identify the radiosonde stations with the smallest temporal discontinuities. Insights from this comparison highlight the importance of independent measurements when evaluating TTL temperatures. The 38-year dataset constructed from IGRA2 stations with the smallest biases spans the tropics and has high vertical resolution, permitting reasonable estimates of the CPT temperature. Radiosonde temperatures show good agreement with GPS radio occultation measurements over the past decade. A multivariate regression model incorporating the Quasi-Biennial Oscillation and the El Nino Southern Oscillation is fit to the deseasonalized data to evaluate the spatial and temporal structures in its variability. Long-term trends in CPT temperatures are considered in the context of historical estimates from climate models. Correlations with TTL water vapor concentrations from the Stratospheric Water and OzOne Satellite Homogenized (SWOOSH) data set suggest a strong relationship between the historically observed CPT temperatures and dehydration.