Analysis of the Thermodynamic Phase Transition of Tracked Convective Clouds Based on Geostationary Satellite Observations
Autor: | Coopman, Q., Hoose, C., Stengel, M. |
---|---|
Rok vydání: | 2020 |
Předmět: |
Convection
Atmospheric Science Phase transition 010504 meteorology & atmospheric sciences Meteorology Infrared Cloud computing 01 natural sciences Clouds ddc:550 Earth and Planetary Sciences (miscellaneous) Spinning 551.5 Astrophysics::Galaxy Astrophysics Physics::Atmospheric and Oceanic Physics 0105 earth and related environmental sciences Line (formation) business.industry SEVIRI Earth sciences Geophysics 13. Climate action Space and Planetary Science geostationary satellite Principal component analysis Geostationary orbit Environmental science Thermodynamic phase Glaciation temperature business |
Zdroj: | Journal of geophysical research / D, 125 (11), e2019JD032146 Journal of Geophysical Research: Atmospheres |
ISSN: | 2169-8996 2169-897X |
DOI: | 10.1029/2019jd032146 |
Popis: | Clouds are liquid at temperature greater than 0°C and ice at temperature below −38°C. Between these two thresholds, the temperature of the cloud thermodynamic phase transition from liquid to ice is difficult to predict and the theory and numerical models do not agree: Microphysical, dynamical, and meteorological parameters influence the glaciation temperature. We temporally track optical and microphysical properties of 796 clouds over Europe from 2004 to 2015 with the space‐based instrument Spinning Enhanced Visible and Infrared Imager on board the geostationary METEOSAT second generation satellites. We define the glaciation temperature as the mean between the cloud top temperature of those consecutive images for which a thermodynamic phase change in at least one pixel is observed for a given cloud object. We find that, on average, isolated convective clouds over Europe freeze at −21.6°C. Furthermore, we analyze the temporal evolution of a set of cloud properties and we retrieve glaciation temperatures binned by meteorological and microphysical regimes: For example, the glaciation temperature increases up to 11°C when cloud droplets are large, in line with previous studies. Moreover, the correlations between the parameters characterizing the glaciation temperature are compared and analyzed and a statistical study based on principal component analysis shows that after the cloud top height, the cloud droplet size is the most important parameter to determine the glaciation temperature. |
Databáze: | OpenAIRE |
Externí odkaz: |