The Spatiotemporal Distribution Characteristics of Cloud Types and Phases in the Arctic Based on CloudSat and CALIPSO Cloud Classification Products

IF 6.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Advances in Atmospheric Sciences Pub Date : 2023-12-06 DOI:10.1007/s00376-023-2231-6
Yue Sun, Huiling Yang, Hui Xiao, Liang Feng, Wei Cheng, Libo Zhou, Weixi Shu, Jingzhe Sun
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引用次数: 1

Abstract

The cloud type product 2B-CLDCLASS-LIDAR based on CloudSat and CALIPSO from June 2006 to May 2017 is used to examine the temporal and spatial distribution characteristics and interannual variability of eight cloud types (high cloud, altostratus, altocumulus, stratus, stratocumulus, cumulus, nimbostratus, and deep convection) and three phases (ice, mixed, and water) in the Arctic. Possible reasons for the observed interannual variability are also discussed. The main conclusions are as follows: (1) More water clouds occur on the Atlantic side, and more ice clouds occur over continents. (2) The average spatial and seasonal distributions of cloud types show three patterns: high clouds and most cumuliform clouds are concentrated in low-latitude locations and peak in summer; altostratus and nimbostratus are concentrated over and around continents and are less abundant in summer; stratocumulus and stratus are concentrated near the inner Arctic and peak during spring and autumn. (3) Regional averaged interannual frequencies of ice clouds and altostratus clouds significantly decrease, while those of water clouds, altocumulus, and cumulus clouds increase significantly. (4) Significant features of the linear trends of cloud frequencies are mainly located over ocean areas. (5) The monthly water cloud frequency anomalies are positively correlated with air temperature in most of the troposphere, while those for ice clouds are negatively correlated. (6) The decrease in altostratus clouds is associated with the weakening of the Arctic front due to Arctic warming, while increased water vapor transport into the Arctic and higher atmospheric instability lead to more cumulus and altocumulus clouds.

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基于CloudSat和CALIPSO云分类产品的北极云类型和相的时空分布特征
利用2006年6月- 2017年5月基于CloudSat和CALIPSO的云型产品2b - cld类- lidar,研究了北极地区高云、高层云、高积云、层积云、层积云、雨层云和深层对流等8种云型和冰、混合、水3个阶段的时空分布特征和年际变率。对观测到的年际变化的可能原因也进行了讨论。主要结论如下:(1)大西洋侧水云较多,大陆侧冰云较多。(2)云型的平均空间和季节分布表现为三种模式:高云和大部分积雨云集中在低纬度地区,高峰出现在夏季;高层云和云层云集中在大陆上空和周围,夏季较少;层积云和层状云集中在北极内附近,在春季和秋季达到高峰。(3)冰云和高层云的区域平均年际频率显著降低,而水云、高积云和积云的区域平均年际频率显著增加。(4)云频率线性趋势的显著特征主要分布在海洋区域。(5)对流层大部分地区水云频率距平与气温呈显著正相关,冰云频率距平与气温呈显著负相关。(6)高层云的减少与北极变暖导致北极锋减弱有关,而进入北极的水汽输送增加和大气不稳定性增高导致积云和高积云增多。
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来源期刊
Advances in Atmospheric Sciences
Advances in Atmospheric Sciences 地学-气象与大气科学
CiteScore
9.30
自引率
5.20%
发文量
154
审稿时长
6 months
期刊介绍: Advances in Atmospheric Sciences, launched in 1984, aims to rapidly publish original scientific papers on the dynamics, physics and chemistry of the atmosphere and ocean. It covers the latest achievements and developments in the atmospheric sciences, including marine meteorology and meteorology-associated geophysics, as well as the theoretical and practical aspects of these disciplines. Papers on weather systems, numerical weather prediction, climate dynamics and variability, satellite meteorology, remote sensing, air chemistry and the boundary layer, clouds and weather modification, can be found in the journal. Papers describing the application of new mathematics or new instruments are also collected here.
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