研究目的
To enable a seamless exchange of SMOS and SMAP Level-1 brightness temperature (Tb) data in soil moisture retrieval and assimilation systems by aligning SMOS Tb, SMAP Tb, and radiative transfer modeling components.
研究成果
The study successfully demonstrates methods to align SMOS and SMAP Level-1 brightness temperature observations for soil moisture retrieval and assimilation systems. The atmospheric and Sky corrections are shown to be significant, with local and short-term differences exceeding 5 K, highlighting the importance of these corrections in accurate soil moisture estimation.
研究不足
The study focuses on nonfrozen land and does not address the impact of frozen conditions on brightness temperature observations. Additionally, the methods described are independent of the SMOS data version, but improved data versions may affect the results.
1：Experimental Design and Method Selection:
The study involves the alignment of SMOS and SMAP Level-1 brightness temperature observations through radiative transfer modeling.
2：Sample Selection and Data Sources:
SMOS L1 Tb data from the MIR_SCLF1C product and SMAP L1B Tb data are used, along with auxiliary near-surface information from the Goddard Earth Observing System version 5 (GEOS-5).
3：5). List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The process includes removing atmospheric and Sky contributions from SMOS L1 Tb observations and converting multiangular SMOS Tb data into smoothed Tb estimates at 40? incidence angle.
5：Data Analysis Methods:
The study compares long-term fitted SMOS Tb observations with SMAP Tb data to assess the impact of atmospheric and Sky corrections.
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