Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Husi, Letu"'
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Prevalent Shortwave downward radiation (SWDR) estimates assume a flat surface, neglecting topographic effects and leading to significant errors in mountainous regions. We introduce SWDR topography correction coefficients (TCCs), based on the
Externí odkaz:
https://doaj.org/article/aa04fec175fd4d238bf7dbb65474e81a
Autor:
Fangling Bao, Husi Letu, Huazhe Shang, Xu Ri, Deliang Chen, Tandong Yao, Lesi Wei, Chenqian Tang, Shuai Yin, Dabin Ji, Yonghui Lei, Chong Shi, Yiran Peng, Jiancheng Shi
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 13, Pp n/a-n/a (2024)
Abstract The cloud classification algorithm widely used in the International Satellite Cloud Climatology Project (ISCCP) tends to underestimate low clouds over the Tibetan Plateau (TP), often mistaking water clouds for high‐level clouds. To address
Externí odkaz:
https://doaj.org/article/e9a0b3ed3e6d440badc2b732932d113d
Autor:
Tianyu Zhang, Husi Letu, Tie Dai, Chong Shi, Yonghui Lei, Yiran Peng, Yanluan Lin, Liangfu Chen, Jiancheng Shi, Wei Tian, Guangyu Shi
Publikováno v:
Geoscience Letters, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract To reduce the uncertainty estimation of clouds and improve the forecast of surface shortwave radiation (SSR) over the Tibetan Plateau, a new cloud assimilation system is proposed which is the first attempt to directly apply the four-dimensio
Externí odkaz:
https://doaj.org/article/cbb1fb8eee5e4c3a9d16e1cb7cad5ede
Autor:
Yuyang Xian, Tianxing Wang, Wanchun Leng, Husi Letu, Jiancheng Shi, Gaofeng Wang, Xuewei Yan, Hongyin Yuan
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 6, Pp n/a-n/a (2024)
Abstract The effect of topography on shortwave downward radiation (SWDR) is interest in the geoscience. However, such effects are rarely quantiatively and systematically evalulated, especially over the Tibetan Plateau region. With the geostationaly s
Externí odkaz:
https://doaj.org/article/877297f04c7b4c9b94c7de278948bb6c
Autor:
Jian Xu, Zhuo Zhang, Lanlan Rao, Yapeng Wang, Husi Letu, Chong Shi, Gegen Tana, Wenyu Wang, Songyan Zhu, Shuanghui Liu, Entao Shi, Yongmei Wang, Liangfu Chen, Xiaolong Dong, Jiancheng Shi
Publikováno v:
Journal of Remote Sensing, Vol 4 (2024)
Ozone stands out as a crucial trace gas within the Earth’s atmosphere, exerting a substantial influence on climate change and air pollution. Tropospheric ozone plays an important role in the formation of photochemical smog, and its variations are a
Externí odkaz:
https://doaj.org/article/543f6c478b3a4887a1bc838c7698a185
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract Reliable precipitation simulation over the Tibetan Plateau (TP) remains a challenge, manifested by a prominent systematic wet bias in the warm season. Previous studies have generally neglected the potential linkage between surface radiation
Externí odkaz:
https://doaj.org/article/ec4a861580eb472f826c1de1b115cf88
Autor:
Pradeep Khatri, Tadahiro Hayasaka, Brent N. Holben, Ramesh P. Singh, Husi Letu, Sachchida N. Tripathi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Aerosols play important roles in modulations of cloud properties and hydrological cycle by decreasing the size of cloud droplets with the increase of aerosols under the condition of fixed liquid water path, which is known as the first aeroso
Externí odkaz:
https://doaj.org/article/c739613f8a924f7295f9889a9bdfc995
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 11, Pp n/a-n/a (2023)
Abstract Retrieval of the cloud thermodynamic phase (CP) is essential for satellite remote sensing and downstream applications. However, there is still a lack of efficient nighttime CP data products. A transfer‐learning‐based deep learning model,
Externí odkaz:
https://doaj.org/article/5871831bef26451eb20868d9a986538f
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 747 (2024)
Real-time monitoring of rainfall areas based on satellite remote sensing is of vital importance for extreme rainfall research and disaster prediction. In this study, a new rainfall area identification algorithm was developed for the new generation of
Externí odkaz:
https://doaj.org/article/ee3c33130df4475280cd913f568c2bea
Autor:
Xiaohan Zhang, Chong Shi, Yidan Si, Husi Letu, Ling Wang, Chenqian Tang, Na Xu, Xianqiang He, Shuai Yin, Zhihua Zhang, Lin Chen
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5650 (2023)
In this paper, a new simultaneous retrieval method of the SIRAW algorithm is introduced and carried out on FY3D/MERSI-II satellite images to obtain the aerosol optical thickness (AOT) and normalized water-leaving radiance (WLR) over the ocean. In ord
Externí odkaz:
https://doaj.org/article/cc2726381b75416f9a0c85f59eee49e3