Abstract

We investigated the difference in the fraction of ice (water) cloud bins between eastern and western parts of Eurasia using Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data in January 2007. The fraction of ice cloud bins between −25 and 0 °C was clearly larger in eastern Eurasia than in western Eurasia. A significantly increased (about 20–30%) fraction of ice‐containing clouds is observed in eastern Eurasia in the cloud top temperatures range from −30 to −15 °C. The difference in ice cloud bin fractions between eastern and western Eurasia was remarkable between −20 and −5 °C, being about 20% greater in eastern Eurasia. The fraction of ice cloud bins in the lower troposphere (below 3 km) was larger in eastern Eurasia than in western Eurasia. These results indicate that the ice formation process was more promoted in the lower troposphere in eastern Eurasia than in western Eurasia. This is the first time such results have been obtained from cloud internal structure observations using the CALIPSO active sensor.

Highlights

  • Clouds have a large impact on the hydrological system and Earth’s energy budget

  • We showed that the fraction of ice cloud bins sharply increased from −15 to −5 C in Figure 2d, and cloud bin temperature around 1 km in eastern Eurasia reached around −15 C, the fraction of ice cloud bins did not greatly change in this temperature range

  • We found that the fraction of ice cloud bins between −25 and 0 C was larger in eastern than in western Eurasia in January 2007

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Summary

| INTRODUCTION

Clouds have a large impact on the hydrological system and Earth’s energy budget. Many previous studies identified clouds as an important source of uncertainty when attempting to understand and predict global climate change (e.g., Dufresne & Bony, 2008; Stephens, 2005). The fraction of unknow in each cloud bin temperature is less than 0.1%, and we do not have any significant changes even if we ignore unknown. The fraction of unknow in each cloud bin temperature is less than 0.1%, and we do not have any significant changes even if we ignore unknown2 This classification of the cloud particle type was conducted using CALIOP data, and the CloudSat product used in this study contained only altitude and temperature profiles from the European Center for Medium-Range Weather Forecasts (ECMWF-AUX) (Partain, 2007). Ð5Þ where L# is the surface downward long-wave radiation flux and L" is the surface upward long-wave radiation flux

| RESULTS
Findings
| DISCUSSION AND CONCLUSIONS
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