Improving the AMSR-E Soil Moisture Algorithm of the University of Tokyo through Field Experiments and Parameters Optimization
Improving the AMSR-E Soil Moisture Algorithm of the University of Tokyo through Field Experiments and Parameters Optimization
复制标题
通过现场实验和参数优化改进东京大学AMSR-E土壤湿度算法
DOI：
10.1109/igarss.2008.4778928
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
H. Tsutsui
中科院分区：
文献类型：
--
作者：
Hui Lu;T. Koike;T. Ohta;H. Fujii;H. Tsutsui
本文报道了东京大学AMSR-E土壤湿度算法的研究进展。第一个进展是在野外试验和数值模拟的基础上，对正演模型--辐射传输模型(RTM)进行了改进。第二个进展是开发了一种新的参数化方法，通过该方法，东京大学开发的陆地数据同化系统(LDAS-UT)优化了算法所需的参数。利用冬小麦试验数据对LDAS-UT的性能进行了验证。最后，在AMSR-E匹配数据集上对新的RTM和参数化方法进行了验证。结果表明，模拟的亮温与AMSR-E观测的亮温有很好的一致性。
This paper reports the progresses of AMSR-E soil moisture algorithm development at the University of Tokyo. The first progress is made through improving the forward model, i.e. radiative transfer model (RTM), based on field experiment and numerical simulation. The second progress is the development of a new parameterization method, through which the parameters necessary for the algorithm are optimized by a land data assimilation system developed at the University of Tokyo (LDAS-UT). The capability of LDAS-UT was validated successfully with winter wheat experiment data. Finally, the new RTM and parameterization method was validated on AMSR-E match up data set. The results demonstrate that the simulated brightness temperature is in good agreements with the one observed by AMSR-E.
DOI：
10.1109/tgrs.2002.808331
发表时间：
2003-02-01
影响因子：
8.2
作者：
Kawanishi, T;Sezai, T;Spencer, RW
通讯作者：
Spencer, RW