First Results from the WindRAD Scatterometer on Board FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation
Abstract
:1. Introduction
2. Characteristics of Level-1 Data and Wind Inversion Method
2.1. Characteristics of Level-1 Data
2.1.1. Geometry Distribution
2.1.2. ° Distributions
2.2. Wind Inversion Algorithm
3. Adapted NWP Ocean Calibration
3.1. Noc as a Function of Incidence Angle: Nocinc
3.2. NOCant
4. Wind Retrieval Performance Evaluation and Discussion
4.1. Ku-Band and C-Band GMF Fit in Measurement Space
4.2. Wind Retrieval Statistics Analysis
4.2.1. Ku-Band Wind Retrieval
4.2.2. C-Band Wind Retrieval
4.3. Data Stability Analysis
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
ASCAT | Advanced Scatterometer |
CSCAT | CFOSAT (Chinese-French Oceanography Satellite) Scatterometer |
FY | Feng Yun |
GMF | Geophysical Model Function |
HY | Hai Yang |
MSS | Multiple Solution Scheme |
NOC | NWP Ocean Calibration |
NWP | Numerical Weather Prediction |
QC | Quality Control |
SD | Standard Deviation |
SDD | Standard Deviation Difference |
SNR | Signal and Noise Ratio |
SST | Sea Surface Temperature |
WindRAD | Wind Radar |
WVC | Wind Vector Cell |
2DVAR | 2-Dimensional Variational Removal |
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Li, Z.; Verhoef, A.; Stoffelen, A.; Shang, J.; Dou, F. First Results from the WindRAD Scatterometer on Board FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation. Remote Sens. 2023, 15, 2087. https://doi.org/10.3390/rs15082087
Li Z, Verhoef A, Stoffelen A, Shang J, Dou F. First Results from the WindRAD Scatterometer on Board FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation. Remote Sensing. 2023; 15(8):2087. https://doi.org/10.3390/rs15082087
Chicago/Turabian StyleLi, Zhen, Anton Verhoef, Ad Stoffelen, Jian Shang, and Fangli Dou. 2023. "First Results from the WindRAD Scatterometer on Board FY-3E: Data Analysis, Calibration and Wind Retrieval Evaluation" Remote Sensing 15, no. 8: 2087. https://doi.org/10.3390/rs15082087