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 demonstrates that atmospheric and Sky contributions can be effectively removed from SMOS L1 Tb observations to align them with SMAP L1B Tb data, facilitating their use in soil moisture retrieval and assimilation systems. The differences between Tb at the top of the atmosphere and the bottom of the atmosphere are generally small but can exceed 5 K locally and temporarily.
研究不足
The study is limited to nonfrozen land and does not account for the effects of heavy rain or cloud contributions at L-band wavelengths. The accuracy of the corrections depends on the quality of the auxiliary near-surface information.
1：Experimental Design and Method Selection:
The study involves the alignment of SMOS and SMAP Tb data through radiative transfer modeling to account for atmospheric and Sky radiation contributions.
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 GEOS-5 simulations.
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 comparing the results with SMAP L1B Tb data.
5：Data Analysis Methods:
Empirical models are used to estimate atmospheric opacity and radiative contributions, and a quadratic curve is fitted to multiangular SMOS Tb data for interpolation to 40? incidence angle.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
