首页> 外文会议>Remote sensing and modeling of the atmosphere, oceans, and interactions IV >Satellite-based 3D structure of cloud and aerosols over the Indian Monsoon region: Implications for aerosol-cloud interaction
【24h】

Satellite-based 3D structure of cloud and aerosols over the Indian Monsoon region: Implications for aerosol-cloud interaction

机译:印度季风地区云和气溶胶的基于卫星的3D结构:对气溶胶-云相互作用的影响

获取原文
获取原文并翻译 | 示例

摘要

Accurate knowledge of vertical distributions of aerosol and cloud fields and their space-time variations are required to reduce the uncertainty in estimated climate forcing. Here, multi-sensor (both passive and active) data were used to construct the climatology of 3-D cloud and aerosol fields over the Indian monsoon region. Multilayer clouds are found to persist throughout the year, among which cumulus and stratocumulus dominate the low clouds and cirrus dominates the high clouds. A combination of passive stereo-technique (MISR) and radiometric technique (ISCPP) captures the multilayer cloud structure as revealed by active sensor CALIOP. Coexistence of low clouds throughout the year with high aerosol concentration beneath and above leads to a transition from increasing to decreasing cloud fraction with an increase in aerosol optical depth. Such transition is rapid in the monsoon season due to convergence of low clouds to form high clouds facilitated by high aerosol loading. Further, the regional climate model RegCM 4.1 has been used to examine aerosol-cloud interaction. The aerosol-induced changes of low cloud amount are under-estimated by the model. The observation-based seasonal climatology of aerosol and cloud fields presented here may help in improving the model simulations of cloud variability and associated rainfall.
机译:需要准确了解气溶胶和云场的垂直分布及其时空变化,以减少估算的气候强迫中的不确定性。在这里,多传感器(被动和主动)数据被用于构建印度季风区域的3-D云和气溶胶场的气候学。全年发现多层云持续存在,其中低层云占主导地位的是积云和层状积云,而高云则占主导地位的是卷云。无源立体技术(MISR)和辐射技术(ISCPP)的结合,可以捕获有源传感器CALIOP揭示的多层云结构。全年低云与高空以下和高浓度的气溶胶并存导致随着气溶胶光学深度的增加,云量从增加到减少。由于低云的汇聚形成高云,这在季风季节迅速过渡,这是由高气溶胶负荷促进的。此外,区域气候模型RegCM 4.1已用于检查气溶胶-云相互作用。该模型低估了气溶胶引起的低云量变化。本文介绍的基于观测的气溶胶和云场的季节性气候可能有助于改善云量变化和相关降雨的模型模拟。

著录项

  • 来源
  • 会议地点 Kyoto(JP)
  • 作者单位

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

    Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Cloud; Aerosol; Interaction; Indian monsoon; vertical structure; regional climate model;

    机译:云;气雾剂;相互作用;印度季风;垂直结构区域气候模式;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号