Zobrazeno 1 - 10
of 828
pro vyhledávání: '"Surface wind speed"'
Autor:
Jin-Lin Zha, Ting Chuan, Yuan Qiu, Jian Wu, De-Ming Zhao, Wen-Xuan Fan, Yan-Jun Lyu, Hui-Ping Jiang, Kai-Qiang Deng, Miguel Andres-Martin, Cesar Azorin-Molina, Deliang Chen
Publikováno v:
Advances in Climate Change Research, Vol 15, Iss 4, Pp 669-679 (2024)
Wind energy development in Central Asia can help alleviate drought and fragile ecosystems. Nevertheless, current studies mainly used the global climate models (GCMs) to project wind speed and energy. The simulated biases in GCMs remain prominent, whi
Externí odkaz:
https://doaj.org/article/cde02c1479ce4cbdaca96d41ded4b4ef
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 35, Iss 1, Pp 1-11 (2024)
Abstract The delay-Doppler map (DDM) is the signal power distribution of the Coarse/Acquisition code (C/A code) of the received Global Navigation Satellite System (GNSS) signal in different code phase delay and Doppler frequency. When the received si
Externí odkaz:
https://doaj.org/article/5f3aaf85fd514407af71a371113d01a6
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 13, Pp n/a-n/a (2024)
Abstract We utilize ocean 10‐m wind speed (U10m) from the microwave Multi‐sensor Advanced Climatology data set to examine the coupling between convective cloud and precipitation processes, synoptic state, and U10m and to evaluate the representati
Externí odkaz:
https://doaj.org/article/fa67126851e849939ead5e434d909651
Autor:
Cheng Jing, Weiqiang Li, Wei Wan, Feng Lu, Xinliang Niu, Xiuwan Chen, Antonio Rius, Estel Cardellach, Serni Ribó, Baojian Liu, Zhizhou Guo, Yang Nan
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 638-652 (2024)
In this paper, we will conclude the results of Bufeng-1 (BF-1) A/B data processing, calibration workflow, and validation of the calibrated sea surface winds, land surface soil moisture, and sea surface height measurements. Since 2019, the BF-1 missio
Externí odkaz:
https://doaj.org/article/5394b37f4fe449fda3add86cbb7096ea
Autor:
Zheng-Tai Zhang, Chang-Ai Xu
Publikováno v:
Advances in Climate Change Research, Vol 15, Iss 2, Pp 222-229 (2024)
Accurate prediction of future surface wind speed (SWS) changes is the basis of scientific planning for wind turbines. Most studies have projected SWS changes in the 21st century over China on the basis of the multi-model ensemble (MME) of the 6th Cou
Externí odkaz:
https://doaj.org/article/0516ce1a6c394caeb1aad15fcc01fee7
Publikováno v:
Redai dili, Vol 44, Iss 4, Pp 673-684 (2024)
Wind speed is an important parameter reflecting the climate and environmental conditions on the Earth's surface. It is also a pivotal factor influencing wind energy, a renewable and clean energy source. The mechanisms exerting influence on the surfac
Externí odkaz:
https://doaj.org/article/0c62e1fa72f44ee9a07a0f30a693878f
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 17, Pp n/a-n/a (2024)
Abstract Decadal variations in near‐surface wind speed (NSWS) and their causes are poorly understood. We found that the decadal transition of winter NSWS in northern China (NC) was 10 years earlier than in southern China (SC), which could be linked
Externí odkaz:
https://doaj.org/article/ad22bb480a7942c793ed3e97c1b6a0b6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 15834-15844 (2024)
The ICESat-2 photon-counting lidar can simultaneously observe high-resolution radiometric and geometric characteristics of ocean waves. In this study, combining the wave radiometric and geometric characteristics, ICESat-2 can provide robust and accur
Externí odkaz:
https://doaj.org/article/db2ee2c151af4c60b50c296c084b96a9
Autor:
April M. Warnock, Christopher S. Ruf, Anthony Russel, Mohammad M. Al-Khaldi, Rajeswari Balasubramaniam
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6189-6200 (2024)
A new wind speed product has been developed using bistatic radar data from NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission. The product addresses shortcomings in two existing CYGNSS gridded wind speed products, the L3 gridded fully
Externí odkaz:
https://doaj.org/article/37d57f110489426e8db58852bd8f4cb2
Autor:
Christopher Ruf, Mohammad Al-Khaldi, Shakeel Asharaf, Rajeswari Balasubramaniam, Darren McKague, Daniel Pascual, Anthony Russel, Dorina Twigg, April Warnock
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4341 (2024)
Since its launch in 2016, a number of wind speed retrieval algorithms have been developed for the NASA CYGNSS satellite observations. We assess their accuracy and precision and characterize the dependence of their performance on environmental factors
Externí odkaz:
https://doaj.org/article/ea606af9a7c246e691543794e31486aa