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- W2897555844 abstract "In this paper, we describe a Monte Carlo technique to simulate the active and passive remote sensor observations (normalized ocean radar backscatter, $sigma^{circ}$ and brightness temperatures, Tb) and to estimate the resulting wind direction retrieval accuracy. A critical part of the simulation was to calculate the satellite/sensor geometry for each point along the orbital ground track. For this, we used the System Tool Kit (STK) orbital analysis software to determine the antenna pointing geometry and instantaneous-field-of-view (IFOV) locations (latitude, longitude, EIA, and azimuth) versus orbit position. Next, these simulated sensor IFOV's were spatially gridded into 0.25°xO.25° boxes and collocated with numerical weather model “nature-run” outputs, to obtain the desired geophysical parameters, namely wind speed and wind direction. Using existing radar and radiometer geophysical model functions (GMF), which relate ocean σ° and Tb with wind speed, relative wind direction, and earth incidence angle, the radar backscatter measurements and radiometer brightness temperatures (AV-H) were simulated, with realistic values of Gaussian noise added. Finally, a maximum likelihood estimation (MLE) procedure was applied to retrieve the wind directions, which were compared to the nature run WD, and the error statistical results are presented." @default.
- W2897555844 created "2018-10-26" @default.
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- W2897555844 date "2018-04-01" @default.
- W2897555844 modified "2023-09-23" @default.
- W2897555844 title "Satellite Microwave Remote Sensing Instrument Performance Estimate Using Monte Carlo Simulation" @default.
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- W2897555844 doi "https://doi.org/10.1109/secon.2018.8479041" @default.
- W2897555844 hasPublicationYear "2018" @default.
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