التفاصيل البيبلوغرافية
| العنوان: |
The Effect of Surface Observations on Enhancing the GIIRS Thermodynamic Profile Retrieval. |
| المؤلفون: |
Deng, Chuanhai1,2 (AUTHOR), Di, Di1,2 (AUTHOR) didi@nuist.edu.cn, Li, Jun3 (AUTHOR) |
| المصدر: |
Remote Sensing. Dec2024, Vol. 16 Issue 24, p4634. 18p. |
| مصطلحات موضوعية: |
*ATMOSPHERIC temperature, *HUMIDITY, *ZENITH distance, *SURFACE pressure, *COLD (Temperature), *SOIL moisture, *SKIN temperature |
| مستخلص: |
Understanding boundary-layer atmospheric temperature and moisture is essential for advancing our knowledge of the Earth system. This study adopts a one-dimensional variational (1DVAR)-based technique to integrate spaceborne measurement and ground-based observations for improving the retrieval of low-level atmospheric profiles. The performance of the algorithm under different atmospheric and observational scenarios, such as surface-air and skin temperature differences (∆T), surface pressure (Ps), and satellite zenith angle, respectively, has been systematically evaluated using the Geosynchronous Interferometric Infrared Sounder (GIIRS) on board the Fengyun-4A satellite as an example. Through theoretical information analysis, using both simulated and actual data experiments, this study demonstrates that incorporating ground-based temperature and moisture observations significantly enhances retrieval accuracy with 1DVAR, particularly over elevated terrain. The new algorithm is more effective in low-level temperature retrievals when air temperatures are colder relative to surface-skin temperatures, and it also shows greater benefit for water-vapor retrievals when the temperature difference between the air and the skin is minimal. However, as the zenith angle increases to 55°, the accuracy of temperature retrievals deteriorates, although this is mitigated by the combination of surface-air temperature observations. Notably, the positive impact of surface observations extends to approximately 100–200 hPa above the surface, underscoring the importance of accurate ground-based measurements in conjunction with spaceborne data for atmospheric profiling. [ABSTRACT FROM AUTHOR] |
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