Results 31 to 40 of about 3,734 (258)
Retrieving Hurricane Wind Speed From Dominant Wave Parameters
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 One of the most difficult issues in wind measurement using microwave radar is the decreased or loss of sensitivity of the return signal in high winds. Recent analyses of wind speed, wave height, and wave period data from hurricane hunter missions show that surface waves inside hurricanes adhere to the nature of fetch- and duration-limited wind wave ...
Paul A. Hwang +2 more
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AI Insights for Wind Speed Retrieval From GNSS Reflectometry [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingArtificial intelligence (AI) models developed for Global Navigation Satellite System Reflectometry (GNSS-R) observations have demonstrated competitive performance in estimating geophysical parameters, especially ocean surface wind speeds. However, the transition from transparent physical scattering models to complex deep learning architectures raises ...
Tianqi Xiao +2 more
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Characterization of CYGNSS Ocean Surface Wind Speed Products
Remote SensingSince 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 ...
Christopher Ruf +8 more
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Validating precision estimates in horizontal wind measurements from a Doppler lidar [PDF]
Atmospheric Measurement Techniques, 2017 Results from a recent field campaign are used to assess the accuracy of wind speed and direction precision estimates produced by a Doppler lidar wind retrieval algorithm.
R. K. Newsom +5 more
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On accuracy of SAR wind speed retrieval in coastal area
Applied Ocean Research, 2020 Abstract In coastal region, the overestimation of wind speed are observed in SAR wind speed retrievals and the contamination from land and ships are considered as one of the main reasons. A novel method for calculating the value of normalized radar cross section (NRCS) cell has been developed to improve high-resolution synthetic aperture radar (SAR ...
Shiyan Wei, Sheng Yang, Dewei Xu
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A More Accurate Field-to-Field Method towards the Wind Retrieval of HY-2B Scatterometer
Remote Sensing, 2021 In this paper, we present a method for retrieving sea surface wind field (SSWF) from HaiYang-2B (HY-2B) scatterometer data. In contrast to the conventional algorithm, i.e., using a point-to-point (P2P) method based on geophysical model functions (GMF) to
Xinjie Shi, Boheng Duan, Kaijun Ren
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Wind Field Retrieval From Co-Polarized SAR Imagery Without External Wind Direction Assistance
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe geophysical model function for sea surface wind speed retrieval from co-polarized synthetic aperture radar (SAR) images typically requires wind direction as prior information. Obtaining wind direction relies directly or indirectly on external sources,
Xianen Wei +4 more
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Apply GNSS-Reflectometry Technique for wind retrieval in typhoon condition [PDF]
E3S Web of Conferences, 2019 Global Navigation Satellite System-Reflectometry (GNSS-R) is an innovative Earth observation technique that exploits signal from satellite constellations after reflection on the Eart h surface. The GNSS-R techniques is also known to have the potential of
Chien Hwa, Lu Quang-Huy, Yeh Wen-Hao
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High Wind Geophysical Model Function Modeling for the HY-2A Scatterometer Using Neural Network
Remote Sensing, 2022 Under low to medium wind speeds and no rainfall, the retrieved vector wind from a scatterometer is accurate and reliable. However, under high wind conditions, the currently used geophysical model function (GMF), such as NSCAT-2, for wind vector retrieval
Xuetong Xie, Jing Wang, Mingsen Lin
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HSRL-2 Retrievals of Ocean Surface Wind Speeds
, 2023 Abstract. This study introduces and evaluates ocean surface wind speed retrieval capabilities of the High Spectral Resolution Lidar – generation 2 (HSRL-2) instrument through comparison with wind speed data collected by National Center for Atmospheric Research (NCAR) Airborne Vertical Atmospheric Profiling System (AVAPS) dropsondes.
Sanja Dmitrovic +16 more
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