Zobrazeno 1 - 4 of 4 pro vyhledávání: '"Amina Maituerdi"'
1
Akademický článek
Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System
Autor: Yongkang Li, Qing He, Yongqiang Liu, Amina Maituerdi, Yang Yan, Jiao Tan
Publikováno v: Land, Vol 13, Iss 11, p 1903 (2024)
Mountainous land types are characterized by a scarcity of observational data, particularly in remote areas such as the Kunlun Mountains, where conventional Automatic Weather Stations (AWSs) typically do not record land surface temperature (LST) data.
Externí odkaz: https://doaj.org/article/e166ec201c79451f91c85a6ae337a429
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2
Akademický článek
Study on Daytime Atmospheric Mixing Layer Height Based on 2-Year Coherent Doppler Wind Lidar Observations at the Southern Edge of the Taklimakan Desert
Autor: Lian Su, Haiyun Xia, Jinlong Yuan, Yue Wang, Amina Maituerdi, Qing He
Publikováno v: Remote Sensing, Vol 16, Iss 16, p 3005 (2024)
The long-term atmospheric mixing layer height (MLH) information plays an important role in air quality and weather forecasting. However, it is not sufficient to study the characteristics of MLH using long-term high spatial and temporal resolution dat
Externí odkaz: https://doaj.org/article/b9b21fc2d40b4f7f9e8c40a9f494dd28
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3
Akademický článek
Study on Daytime Atmospheric Mixing Layer Height Based on 2-Year Coherent Doppler Wind Lidar Observations at the Southern Edge of the Taklimakan Desert.
Autor: Su, Lian1 (AUTHOR) kiwensu@mail.ustc.edu.cn, Xia, Haiyun1,2 (AUTHOR) hsia@ustc.edu.cn, Yuan, Jinlong2 (AUTHOR), Wang, Yue2 (AUTHOR), Maituerdi, Amina3 (AUTHOR), He, Qing4 (AUTHOR)
Publikováno v: Remote Sensing. Aug2024, Vol. 16 Issue 16, p3005. 14p.
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