Abstract

The vertical structure of ice clouds and vertical air motion (Vair) were investigated using vertically pointing Ka-band cloud radar. The distributions of reflectivity (Z), Doppler velocity (VD), and spectrum width (SW) were analyzed for three ice cloud types, namely, cirrus, anvil, and stratiform clouds. The radar parameters of the cirrus clouds showed narrower distributions than those of the stratiform and anvil clouds. In the vertical structures, the rapid growth of Z and VD occurred in the layer between 8 and 12 km (roughly a layer of −40 °C to −20 °C) for all ice clouds. The prominent feature in the stratiform clouds was an elongated “S” shape in the VD near 7–7.5 km (at approximately −16 °C to −13 °C) due to a significant decrease in an absolute value of VD. The mean terminal fall velocity (Vt) and Vair in the ice clouds were estimated using pre-determined Vt–Z relationships (Vt = aZb) and the observed VD. Although the cirrus clouds demonstrated wide distributions in coefficients a and exponents b depending on cloud heights, they showed a smaller change in Z and Vt values compared to that of the other cloud types. The anvil clouds had a larger exponent than that of the stratiform clouds, indicating that the ice particle density of anvil clouds increases at a faster rate compared with the density of stratiform clouds for the same Z increment. The significant positive Vair appeared at the top of all ice clouds in range up to 0.5 m s−1, and the anvil clouds showed the deepest layer of upward motion. The stratiform and anvil clouds showed a dramatic increase in vertical air motion in the layer of 6–8 km as shown by the rapid decrease of VD. This likely caused increase of supersaturation above. A periodic positive Vair linked with a significant reduction in VD appeared at the height of 7–8 km (approximately −15 °C) dominantly in the stratiform clouds. This layer exhibited a bi-modal power spectrum produced by pre-existing larger ice particles and newly formed numerous smaller ice particles. This result raised a question on the origins of smaller ice particles such as new nucleation due to increased supersaturation by upward motion below or the seeder-feeder effect. In addition, the retrieved Vair with high-resolution data well represented a Kelvin-Helmholtz wave development.

Highlights

  • The significant positive vertical air motion (Vair) appeared at the top of all ice clouds in range up to 0.5 m s−1, and the anvil clouds showed the deepest layer of upward motion

  • Ice clouds are a major factor of global radiation equilibrium, which has a strong influence on climate change and the greenhouse effect on Earth, and they have played an important role in numerical forecasts and climate models [1,2]

  • Ice clouds were classified into three types (cirrus clouds: cirrus; stratiform precipitaIce clouds were classified into three types using a 1 min Z profile, similar to tion: stratiform; thick non-precipitating anvils: anvil) using a 1 min Z profile, similar to the the classification criteria used by Protat and Williams [20]

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Summary

Introduction

Ice clouds are a major factor of global radiation equilibrium, which has a strong influence on climate change and the greenhouse effect on Earth, and they have played an important role in numerical forecasts and climate models [1,2]. The parameterization of ice clouds in numerical models plays an essential role in the accuracy of forecasts [3]. The terminal fall velocity (Vt ) of a hydrometeor is the most important parameter in ice cloud parameterization, and it strongly influences the sedimentation of ice crystals in numerical models [4,5,6,7]. Hong et al [8] showed that microphysical processes with ice sedimentation reveal significant improvement in the amount of high cloud and precipitation of weather forecasting models

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