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Published on: June 13, 2020
A Monte Carlo Emissivity Model for Wind-Roughened Sea Surface
Jie Cheng1,2, Xiaolong Cheng3, Xiangchen Meng4
1State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China. Jie_Cheng@bnu.edu.cn.
This study introduces a Monte Carlo ray-tracing model for sea surface emissivity (SSE), crucial for sea surface temperature (SST) estimation. The model achieves high accuracy and efficiency, validating well with field data.
Area of Science:
- Remote Sensing
- Oceanography
- Radiative Transfer
Background:
- Sea surface emissivity (SSE) is vital for sea surface temperature (SST) and radiation budget calculations.
- Accurate and computationally efficient SSE models are needed for climate and oceanographic studies.
Purpose of the Study:
- To develop a Monte Carlo ray-tracing model for computing SSE on wind-roughened sea surfaces.
- To ensure adequate accuracy and computational efficiency in SSE modeling.
Main Methods:
- Utilized a two-dimensional continuous surface model.
- Averaged two polarization components before ray-tracing for efficiency.
- Incorporated direct emission and reflected components in emissivity calculations.
Main Results:
- The model demonstrates acceptable computational efficiency.
- The reflected component contributes significantly to effective emissivity at higher emission angles (0.035 at 80°).
- Validation with field data shows bias < 0.5% for view angles < 65°, ensuring SST retrieval accuracy.
Conclusions:
- The developed Monte Carlo model accurately computes SSE for wind-roughened surfaces.
- The model's accuracy is sufficient for reliable SST retrieval up to 65° view angles.
- Model performance degrades at higher view angles, particularly near 85°.
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