Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Yansong Bao"'
Publikováno v:
暴雨灾害, Vol 42, Iss 4, Pp 467-478 (2023)
In order to comprehensively evaluate the temperature and humidity detection performance of the ground microwave radiometer (referred to as radiometer, the same below) and improve the accuracy of temperature and relative humidity profiles, by using th
Externí odkaz:
https://doaj.org/article/41aa1dbf1f33415dbe54efdc56512f36
Autor:
Bingli Wang, Wei Cheng, Yansong Bao, Shudong Wang, George P. Petropoulos, Shuiyong Fan, Jiajia Mao, Ziqi Jin, Zihui Yang
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2682 (2024)
This study investigates the impacts of the joint assimilation of ground-based microwave radiometer (MWR) and FY-3D microwave sounder (MWTS-2/MWHS-2) observations on the analyses and forecasts for precipitation forecast. Based on the weather research
Externí odkaz:
https://doaj.org/article/de41d73c4e1a45aea57d80129ee11d50
Publikováno v:
Remote Sensing, Vol 16, Iss 7, p 1267 (2024)
Precipitation is the basic component of the Earth’s water cycle. Obtaining high-resolution and high-precision precipitation data is of great significance. This paper establishes a precipitation retrieval model based on a random forest classificatio
Externí odkaz:
https://doaj.org/article/24e46debd5f4466390cad97aca97b155
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5660 (2023)
The study of clouds and their characteristics provides important information for understanding climate change and its impacts as it provides information on weather conditions and forecasting. In this study, Earth observation (EO) data from the FY4A A
Externí odkaz:
https://doaj.org/article/dc6edf60ca324f16b1a7a5c45e0d02e5
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 89 (2023)
Based on the community radiative transfer model, ensemble tree-based random forest algorithm, and extreme gradient boosting tree algorithm, this study established a random forest retrieval model (RF) and an extreme gradient boosting tree retrieval mo
Externí odkaz:
https://doaj.org/article/834485e6d5164b9e8c519974c58d0429
Publikováno v:
Atmosphere, Vol 14, Iss 12, p 1757 (2023)
This paper selects the case of the Atlantic hurricane “Michael” in 2018 to evaluate the accuracy of the GOES-16 atmospheric temperature profile during the hurricane and its effect on forecasting. Based on the weather research and forecasting (WRF
Externí odkaz:
https://doaj.org/article/4d907369b0ed48e89e3516d597c008ac
Autor:
Khalid Mehmood, Yansong Bao, Sana Mushtaq, Saifullah, Muhammad Ajmal Khan, Nadeem Siddique, Muhammad Bilal, Zhang Heng, Li Huan, Muhammad Tariq, Sibtain Ahmad
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
As scientific technology and space science progress, remote sensing has emerged as an innovative solution to ease the challenges of the COVID-19 pandemic. To examine the research characteristics and growth trends in using remote sensing for monitorin
Externí odkaz:
https://doaj.org/article/d21f74fb7412486494254c92aee1a2b8
Autor:
Jingjing Hu, Jie Wu, George P. Petropoulos, Yansong Bao, Jian Liu, Qifeng Lu, Fu Wang, Heng Zhang, Hui Liu
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1648 (2023)
In this study, a new technique is proposed to retrieve temperature and relative humidity profiles under clear sky conditions in the Arctic region based on the artificial neural network (ANN) algorithm using Fengyun-3D (FY-3D) vertical atmospheric sou
Externí odkaz:
https://doaj.org/article/b879ab9d990c4bfa9377bd3515cbf462
Autor:
Khalid Mehmood, Yansong Bao, Saifullah, Sadia Bibi, Saad Dahlawi, Muhammad Yaseen, Muhammad Mohsin Abrar, Prashant Srivastava, Shah Fahad, Turki Kh. Faraj
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
Since open biomass burning (OBB) and open crop straw burning (OCSB) could pose a great risk to human health via altering the air quality, these practices have grabbed considerable attention from the scientific community and policymakers in recent yea
Externí odkaz:
https://doaj.org/article/e00616333dc34b3ba9684c66d0a6ad9a
Autor:
Khidir Abdalla Kwal Deng, George P. Petropoulos, Yansong Bao, Andrew Pavlides, Abdoul Aziz Saidou Chaibou, Birhanu Asmerom Habtemicheal
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6255 (2022)
Surface soil moisture (SSM) plays an essential role in the Earth’s water cycle and land surface processes as well as in vegetative growth, ecological health, and ecosystem properties. Particularly, information on this parameter’s spatiotemporal v
Externí odkaz:
https://doaj.org/article/d182237e87d94274b9463beb819a527b