Abstract

This study investigates the size distribution, the mean diameter, and the concentration of ice particles within stratiform clouds by using in situ observations from 29 flights in Hebei, China. Furthermore, it examines the empirical fitting of ice particle size distributions at different temperatures using Gamma and exponential functions. Without considering the first three bins of ice particles, the mean diameter of ice particles (size range 100–1550 µm) is found to increase with temperature from −15 to −9 °C but decrease with temperature from −9 to 0 °C. By considering the first three bins of ice particles using the empirical Gamma fitting relationship found in this study, the mean diameter of ice particles (size range 25–1550 µm) shows a similar variation trend with temperature, while the turning point changes from −9 to −10 °C. The ice particle number concentration increases from 13.37 to 50.23 L−1 with an average of 31.27 L−1 when temperature decreases from 0 to −9 °C. Differently, the ice concentration decreases from 50.23 to about 22.4 L−1 when temperature decreases from −9 to −12 °C. The largest mean diameter of ice particles at temperatures around −9 and −10 °C is most likely associated with the maximum difference of ice and water supersaturation at that temperature, making the ice particles grow the fastest. These findings provide valuable information for future physical parameterization development of ice crystals within stratiform clouds.

Highlights

  • The results showed that the majority of ice crystal habits found in the two cases at temperatures between 0 and −16 ◦ C included platelike, needle column, capped column, dendrite, and irregular

  • The ice particle size distribution (PSD) at different temperatures were analyzed by dividing the temperature into four bins: −24–−20 ◦ C, −20–−16 ◦ C, −16–−12 ◦ C

  • 100–200 μm for all different temperature ranges. This is likely associated with the small sizes of ice particles, which mainly form via deposition and grow slowly, making the concentration relatively large

Read more

Summary

Introduction

Clouds play an important role in the Earth’s radiative energy balance, including ice clouds. Better understanding of ice particle properties is critical for developing parameterizations for mesoscale and climate models [1,2,3,4,5]. The improvement in ice particle size distribution (PSD) is extremely useful for simulating ice properties in various models [6,7,8,9,10,11]. Affected by topography and other factors, the characteristics of ice particles vary a lot among different regions [12,13,14], making it valuable for us to analyze in detail the characteristics of ice particles over different regions

Objectives
Methods
Results
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call