Article
Geochemistry & Geophysics
Alexander S. Komarov, Sergey A. Komarov, Mark Buehner
Summary: New techniques for automated retrieval of ocean surface wind speed from the RADARSAT Constellation mission have been developed and tested, showing lower root-mean square errors compared to existing models that require input wind direction.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Daniele Ciani, Mattia Sabatini, Bruno Buongiorno Nardelli, Paco Lopez Dekker, Bjorn Rommen, David S. Wethey, Chunxue Yang, Gian Luigi Liberti
Summary: The Harmony satellite mission, recently approved by the European Space Agency (ESA), will focus on applications related to earth science, including solid earth, the cryosphere, upper-ocean dynamics, and air-sea interactions. The mission involves two satellites equipped with a C-band radar and a thermal infrared payload. The mission will provide simultaneous observations of upper-ocean processes using synthetic aperture radar and thermal infrared imagery. The study explores the potential of using the high-resolution thermal infrared channel for retrieving sea surface temperature (SST) gradients without atmospheric correction, which can avoid uncertainties associated with inter-channel co-registration and radiometric consistency.
Article
Engineering, Electrical & Electronic
Weicheng Ni, Ad Stoffelen, Kaijun Ren
Summary: Accurate knowledge of wind directions is crucial for ocean surface wind retrieval and tropical cyclone research. A new method for wind direction retrieval from tropical cyclone synthetic aperture radar (SAR) images is proposed, which combines VV and VH signals to obtain continuous wind direction maps. The technique shows promising consistency and higher accuracy compared to conventional approaches.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Chemistry, Physical
Qinghao Xu, Yuting Lu, Shiyu Zhao, Ning Hu, Yawei Jiang, Hang Li, Yue Wang, Haiqi Gao, Yi Li, Ming Yuan, Liang Chu, Jiahui Li, Yannan Xie
Summary: This paper proposes a novel wind vector sensor system that can synchronously perceive wind speed and direction based on self-powered technology and photoelectric technology, achieving accurate monitoring of wind direction and paving the way for ultra-low power consumption for IoTs-based environmental sensors.
Article
Chemistry, Physical
Hee-Jin Ko, Dae-Sung Kwon, Soonjae Pyo, Jongbaeg Kim
Summary: In this study, a wind-driven triboelectric nanogenerator was developed as a self-powered wind sensor. The generator can produce constant output voltage and works in various wind directions. Experiments showed a correlation between the output voltage and wind speed and direction within a certain range.
Article
Geochemistry & Geophysics
Zebiao Shan, Xiaoran Xie, Xiaosong Liu
Summary: In this study, a three mutually transmitting ultrasonic sensors wind measurement method is proposed to improve the measurement accuracy of the ultrasonic anemometer. This method uses a three mutually transmitting ultrasonic sensors array structure combined with the cyclic correlation time delay estimation algorithm for ultrasonic transmission time estimation, and then calculates wind speed and direction based on the relationship between ultrasonic transmission time and wind vector. The proposed method effectively reduces the influence of temperature, humidity, and shadowing effects, suppresses interference at different frequencies, and reduces the computational complexity of the time delay estimation algorithm. Simulation experiments and actual measurements validate the superiority and effectiveness of the proposed algorithm, with a relative error of 3% for wind speed measurement and an error of 3 degrees for wind direction measurement in the actual measurement environment.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Multidisciplinary
WenZhe Bi, Li Tian, Chao Li, SiYao Zhang
Summary: This paper introduces the vine copula to model the joint probability distribution of wind speed, wind direction and rain intensity based on field data in Yangjiang, China. The results show that the constructed model can well characterize the dependence structure between the variables, and the effect of wind direction is significant.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2023)
Article
Energy & Fuels
Shiji Huang, Qiusheng Li, Zhenru Shu, Pak Wai Chan
Summary: A copula-based method is proposed in this study to better characterize the direction-related wind energy potential at six typical sites in Hong Kong. The joint probability density function (JPDF) of wind speed and wind direction is constructed using a series of copula models. The study finds that the Frank copula has the best performance in fitting the JPDF at hilltop and offshore sites, while the Gumbel copula outperforms other models at urban sites. The results of this study are expected to facilitate accurate micro-site selection of wind turbines and improve the economic benefits of wind farms in Hong Kong.
Article
Chemistry, Multidisciplinary
Shang-Chen Wu, Jong-Chyuan Tzou, Cheng-Yu Ding
Summary: The study introduces a low-cost wind speed and direction measurement system using a heat sink and a thermopile array, with the estimation of wind speed and direction data by an artificial neural network. The accuracy of the estimated data from the proposed system is higher than linear regression and support vector machine methods.
APPLIED SCIENCES-BASEL
(2021)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Engineering, Environmental
Hayder Algretawee, Scott Rayburg, Melissa Neave
Summary: This study investigated the effects of spatial, temporal, wind speed, and wind direction on precipitation magnitude in Melbourne City, Australia. The results showed higher precipitation magnitudes at night compared to daytime. Fast wind speeds increased precipitation magnitude, and wind direction also had an impact, depending on the upwind or leeward sides. Overall, temporal parameters, wind speed, and wind direction had distinct effects on precipitation at a small time scale.
WATER SCIENCE AND TECHNOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Panos J. Athanasiadis, Fumiaki Ogawa, Nour-Eddine Omrani, Noel Keenlyside, Reinhard Schiemann, Alexander J. Baker, Pier Luigi Vidale, Alessio Bellucci, Paolo Ruggieri, Rein Haarsma, Malcolm Roberts, Chris Roberts, Lenka Novak, Silvio Gualdi
Summary: This study examines the response of certain biases in the midlatitude North Atlantic to increasing oceanic resolution. It shows that increasing resolution can significantly reduce cold sea surface temperature bias and improve the representation of European blocking and jet variability. The study also finds a relationship between meridional sea surface temperature gradients and atmospheric circulation, indicating the importance of North Atlantic SST anomalies in forcing significant atmospheric responses.
JOURNAL OF CLIMATE
(2022)
Article
Medicine, Research & Experimental
Chen Li, Zihui Zheng, Xiang Wu, Qiu Xie, Ping Liu, Yunfeng Hu, Mei Chen, Liming Liu, Wangxing Zhao, Linlin Chen, Jun Guo, Ying Song
Summary: Cells migrating through interstitial matrix stiffen the tumor micro-environment, and aggressive cells require extracellular mechanosensory activation and intracellular tension response. Mechanotransduction linker srGAP2 can control the mechanical-biochemical process of malignant cell migration.
Article
Engineering, Mechanical
Yang Ding, Xiao-Wei Ye, Yong Guo
Summary: This paper proposes a multivariant joint probability density distribution function (JPDF) based on copula theory to explore the correlation between environmental data collected by SHM systems installed on long-span bridges. The univariate probability density function (PDF) is characterized by the finite mixture (FM) method, and the parameters in the FM distribution are estimated by the genetic algorithm (GA). The feasibility of the proposed model is verified through a case study of a specific bridge in China, where the SHM system collects data on wind speed, wind direction, wind angle, and temperature.
PROBABILISTIC ENGINEERING MECHANICS
(2023)
Article
Engineering, Civil
Qian Chen, Chuanjin Yu, Yongle Li
Summary: This paper proposes three methods to estimate the joint probability density function of wind speed, wind direction, and wind attack angle. The results show that all these methods provide satisfactory results, with the second method having the best goodness-of-fit.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
(2022)