High Wind Geophysical Model Function Modeling for the HY-2A Scatterometer Using Neural Network
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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Full-parametric, transdimensional, and joint inversion of surface wave dispersion and earthquake-based HVSR by MBMO for obtaining reliable subsurface structures [PDF]
We present the Modified Barnacles Mating Optimizer (MBMO), a novel global optimization algorithm designed to enhance the accuracy of full-parametric, transdimensional, and joint inversion of earthquake-based Horizontal-to-Vertical Spectral Ratio (HVSR ...
Hanbing Ai +2 more
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Cross-correlation function in the interpretation of potential fields anomalies of strike-slip nature [PDF]
In the study, a comparison of correlation characteristics that can be obtained when analyzing areal geophysical data in COSCAD 3D, GIS INTEGRO software, as well as in custom software with a novel approach, has been conducted.
Asoskov Artem, Matykina Darya
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Verification of the C-band geophysical model functions (GMF) for the open ocean and the Gorky reservoir was carried out using Sentinel-1 IW-mode Synthetic aperture radar (SAR) images. CMOD5.N, CMOD7, GMF for the Caspian Sea, and CSARMOD2 were considered.
Daniil Sergeev +4 more
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This study presents an approach for friction velocity and aerodynamic drag coefficient retrieval utilizing C-band VH SAR observations from Sentinel-1.
Olga Ermakova +4 more
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A C-band cross polarization geophysical model function [PDF]
Microwave backscattering from the ocean surface is closely related to the wind-generated ocean surface roughness. This property is used for obtaining global ocean surface vector winds. The deployed scatterometers so far do not use the cross-polarized sea return (VH, representing either vertical transmit horizontal receive or horizontal transmit ...
Paul A. Hwang +6 more
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A GNSS-R Geophysical Model Function [PDF]
A machine learning technique is implemented for retrieving space-borne Global Navigation Satellite System Reflectometry (GNSS-R) wind speed. Conventional approaches commonly fit a function in a predefined form to matchup data in a least-squares (LS) sense, mapping GNSS-R observations to wind speed. In this study, a feedforward neural network is trained
Asgarimehr, Milad (Dr.-Ing.) +4 more
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Sea‐Ice Detection From Near‐Nadir Ku‐Band Echoes From CFOSAT/SWIM Scatterometer
SWIM on board CFOSAT is the first spaceborne, low incidence, rotating scatterometer, aiming at measuring in near‐real time ocean waves spectra. With five off‐nadir beams at incidences between 2° and 10° plus one nadir beam, it covers the Earth in 13 days,
Charles Peureux +6 more
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TDS-1 GNSS reflectometry wind geophysical model function response to GPS block types
This paper presents the TDS-1 GNSS reflectometry wind Geophysical Model Function (GMF) response to GPS block types. The observables were extracted from Delay Doppler Maps (DDMs) after taking the receiver antenna gains effects and GNSS-R geometry effects ...
Fade Chen +5 more
doaj +1 more source
Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization [PDF]
We introduce a workflow integrating geological modelling uncertainty information to constrain gravity inversions. We test and apply this approach to the Yerrida Basin (Western Australia), where we focus on prospective greenstone belts beneath sedimentary
J. Giraud +5 more
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