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沙尘天气微波遥感监测技术研究进展

宋冬梅 丁琴 王斌 Sumiya Erdenesukh 咏梅 包玉海 徐榕焓

干旱区研究2026,Vol.43Issue(3):449-464,16.
干旱区研究2026,Vol.43Issue(3):449-464,16.DOI:10.13866/j.azr.2026.03.01

沙尘天气微波遥感监测技术研究进展

Recent advances in microwave remote sensing techniques for dust weather monitoring

宋冬梅 1丁琴 1王斌 1Sumiya Erdenesukh 2咏梅 3包玉海 3徐榕焓4

作者信息

  • 1. 中国石油大学(华东)海洋与空间信息学院,山东 青岛 266580
  • 2. 蒙古国立大学艺术与科学学院气象与水文系,蒙古 乌兰巴托 14200
  • 3. 内蒙古师范大学地理科学学院,内蒙古 呼和浩特 010022
  • 4. 中国气象局国家卫星气象中心(国家空间天气监测预警中心),中国遥感卫星辐射测量和定标重点开放实验室,北京 100081
  • 折叠

摘要

Abstract

Dust weather is a natural atmospheric phenomenon that frequently occurs in arid and semiarid regions.When dust processes intensify or develop on a large spatial scale(i.e.,strong dust weather,such as dust storms),the concentration of atmospheric particulate matter can increase markedly,leading to adverse impacts on air quali-ty,human health,and regional to even global climate.Accurate monitoring of dust weather is therefore of great importance for environmental management,disaster early warning,and climate assessment.However,under cer-tain synoptic conditions,dust weather may coexist and interact with cloud systems.When clouds overlie the dust layer or when the dust signal is relatively weak while the cloud signal is strong,traditional optical remote sensing methods(e.g.,visible and infrared channels)are unable to effectively penetrate cloud cover and accurately detect dust beneath clouds.Microwave remote sensing,owing to its strong cloud-penetrating capability,has demonstrat-ed significant potential for monitoring dust under cloudy conditions.Motivated by this,the present paper reviews recent studies on monitoring dust weather using microwave remote sensing,provides a detailed overview of dif-ferent methods,analyzes their underlying principles,advantages,and limitations,and outlines future research di-rections.

关键词

沙尘天气/微波遥感/散射/全球导航卫星系统/延迟

Key words

dust weather/microwave remote sensing/scattering/Global Navigation Satellite System/delay

引用本文复制引用

宋冬梅,丁琴,王斌,Sumiya Erdenesukh,咏梅,包玉海,徐榕焓..沙尘天气微波遥感监测技术研究进展[J].干旱区研究,2026,43(3):449-464,16.

基金项目

国家自然科学基金联合基金重点支持项目(U22A20586) (U22A20586)

国家自然科学基金(41701513,61371189,41772350,42330602) (41701513,61371189,41772350,42330602)

中国气象局气象能力提升联合研究项目(23NLTSQ010) (23NLTSQ010)

中国气象局青年创新团队(CMA2023QN08) (CMA2023QN08)

山东省自然科学基金资助项目(ZR2022MD015) (ZR2022MD015)

山东省重点研发计划(2019GGX101033) (2019GGX101033)

中央高校基本科研业务费专项资金资助(24CX02030A) (24CX02030A)

干旱区研究

1001-4675

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