EMPIRICAL CHARACTERIZATION OF THE SMOS BRIGHTNESS TEMPERATURE BIAS AND UNCERTAINTY FOR IMPROVING SEA SURFACE SALINITY

被引：0
|
作者：
Olmedo, E. [1 ,2 ]
Gonzalez-Gambau, V. [1 ,2 ]
Turiel, A. [1 ,2 ]
Martinez, J. [1 ,2 ]
Gabarro, C. [1 ,2 ]
Ballabrera-Poy, J. [1 ,2 ]
Portabella, M. [1 ,2 ]
Arias, M. [3 ]
Sabia, R. [4 ]
机构：
[1] CSIC, BEC, P Maritim Barceloneta 37-49, Barcelona 08003, Spain
[2] CSIC, Inst Marine Sci, P Maritim Barceloneta 37-49, Barcelona 08003, Spain
[3] Argans, Davy Rd,Plymouth Sci Pk, Plymouth PL6 8BX, Devon, England
[4] ESA ESRIN, Largo Galileo Galilei 1 Casella Postale 64, I-00044 Rome, Italy
来源：
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词：
SMOS; Sea Surface Salinity; Brightness Temperature biases; Brightness Temperature uncertainty;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
After more than eight years of Soil Moisture and Ocean Salinity (SMOS) aquisitions, an empirical characterization of the biases and the computation of an effective brightness temperature uncertainty is possible. In this work we show that both parameters strongly depend on the geographical location of the acquisition. Metrics based on the differences between expected and theoretical values of the bias and uncertainty are developed and used for a quantitative assessment of the locations where SMOS errors are currently being worse characterized. This characterization can be used for the definition of an empirical bias correction and a more accurate cost function which are expected to provide a better SMOS SSS product.
引用
收藏
页码：1515 / 1518
页数：4
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