التفاصيل البيبلوغرافية
| العنوان: |
A Comparison of Physical-Based and Statistical-Based Radiative Transfer Models in Retrieving Atmospheric Temperature Profiles from the Microwave Temperature Sounder-II Onboard the Feng-Yun-3 Satellite |
| المؤلفون: |
Qiurui He, Xiao Guo, Ruiling Zhang, Jiaoyang Li, Lanjie Zhang, Junqi Jia, Xuhui Zhou |
| المصدر: |
Atmosphere, Vol 16, Iss 1, p 44 (2025) |
| بيانات النشر: |
MDPI AG, 2025. |
| سنة النشر: |
2025 |
| المجموعة: |
LCC:Meteorology. Climatology |
| مصطلحات موضوعية: |
statistical retrieval, physical-based radiative transfer model, statistical-based radiative transfer model, deep neural network, atmospheric temperature profile, Meteorology. Climatology, QC851-999 |
| الوصف: |
The statistical retrieval of atmospheric parameters will be greatly affected by the accuracy of the simulated brightness temperatures (BTs) derived from the radiative transfer model. However, it is challenging to further improve a physical-based radiative transfer model (RTM) developed based on the physical mechanisms of wave transmission through the atmosphere. We develop a deep neural network-based RTM (DNN-based RTM) to calculate the simulated BTs for the Microwave Temperature Sounder-II onboard the Fengyun-3D satellite under different weather conditions. The DNN-based RTM is compared in detail with the physical-based RTM in retrieving the atmospheric temperature profiles by the statistical retrieval scheme. Compared to the physical-based RTM, the DNN-based RTM can obtain higher accuracy for simulated BTs and enables the statistical retrieval scheme to achieve higher accuracy in temperature profile retrieval in clear, cloudy, and rainy sky conditions. Due to its ability to simulate microwave observations more accurately, the DNN-based RTM is valuable for the theoretical study of microwave remote sensing and the application of passive microwave observations. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2073-4433 |
| Relation: |
https://www.mdpi.com/2073-4433/16/1/44; https://doaj.org/toc/2073-4433 |
| DOI: |
10.3390/atmos16010044 |
| URL الوصول: |
https://doaj.org/article/014ff681b76c40b39ea1440c312c2c08 |
| رقم الانضمام: |
edsdoj.014ff681b76c40b39ea1440c312c2c08 |
| قاعدة البيانات: |
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