News-Institute of Desert Meteorology, China Meteorological Adminstration, Urumqi

2025-09-24 Wednesday

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Research Highlight

Research Highlight

Research Highlight

Research Highlight

Desert Meteorology Institute Makes Progress in Assessing Contribution of Dust Devils to Dust Aerosols in Taklimakan Desert

2025-08-20
Institute of Desert Meteorology Makes Progress in Evapotranspiration Research

2025-08-20
Progress in the study of the spatial distribution characteristics of cloud water resources over the deserts in Central Asia
Clouds are a crucial component of the Earth’s climate system, significantly influencing the radiation balance, hydrological cycle, and regional climate change through their spatiotemporal distribution. Cloud formation and evolution are influenced by factors such as topography, atmospheric circulation, and seasonal variability. In Asia, the diverse geographical landscape—including high mountain ranges, extensive plateaus, and low-lying plains—results in significant spatial heterogeneity in cloud cover patterns. The Institute of Desert Research’s Central Asian Climate and Cloud-Precipitation Physics Research Team, based on ERA5, the International Satellite Cloud Climatology Project (ISCCP), Clouds and the Earth’s Radiant Energy System (CERES), and the Global Precipitation Climatology Centre (GPCC), has revealed the spatiotemporal characteristics of cloud macro- and microphysical properties in Central Asia and their impacts on the regional climate. The cloud cover increases from the southwest to the northeast, with mid and low-level clouds predominating in high-altitude regions. All clouds have shown a declining trend during 1981-2020. According to satellite data, the sharpest decline in total cloud cover occurs in summer, while reanalysis data show a more significant reduction in spring. In addition, cloud cover changes influence the local climate through radiative forcing mechanisms. Specifically, the weakening of shortwave reflective cooling and the enhancement of longwave heating of clouds collectively exacerbate surface warming. Meanwhile, precipitation is positively correlated with cloud cover, and its spatial distribution aligns with the cloud water path. The cloud phase composition in Central Asia is dominated by liquid water, accounting for over 40%, a microphysical characteristic that further impacts the regional hydrological cycle.

2025-08-14
New progress has been made in the application of machine learning methods in predicting summer precipitation in Xinjiang.

2025-07-22

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中华人民共和国科学技术部国家科技计划管理信息系统公共服务平台国家自然科学基金委员会新疆维吾尔自治区科学技术厅新疆科技计划管理公共服务平台中国气象局新疆维吾尔自治区气象局中国气象科学研究院中国科学院大气物理研究所《沙漠与绿洲气象》

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Institute of Desert Meteorology, China Meteorological Adminstration, Urumqi　[Page Views：8000290]

BY BOLEHU

Institute of Desert Meteorology, China Meteorological Adminstration, Urumqi
[Page Views：8000290]
BY BOLEHU

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