Uncertainty estimation in vector wind retrievals from satellite-based polarimetric microwave radiometer measurements
Tong, Xiaolin; Wang, Zhenzhan; Li, Qingxia
2014
会议名称Progress in Electromagnetics Research Symposium, PIERS 2014
会议日期August 25, 2014 - August 28, 2014
会议地点Guangzhou, China
页码537-540
英文摘要The main characteristic of wind vector is circularity in any reference direction, which creates problems when analyzing the data statistically. Due to this periodicity, standard statistical techniques cannot be used to analyze circular data. For example, (1) in the regions including upwind/downwind ambiguity, the STD obtained from the linear statistics approach is about 60-80°. However, we couldn't deduce that it is upwind/downwind ambiguity from the STD. (2) The Cramer-Rao bound (CRB) has been widely used as sensitivity estimation. The precondition of the CRB approach is the possibility distribution is normal one. Since the model of wind direction reveres is non-linear, the angel distribution is not normal. A problem appeared for wind-vector sensitivity estimation. The STD obtained from closest solution is lower than the sensitivity obtained from CRB. In this paper, we introduce the directional statistics approach for evaluating the uncertainty. The circular STD is always between zero and one inclusive, making it very different from its linear analog, which can have any positive value. It is indicative of the spread in a data set. If all samples point into the same direction, the circular STD will be small. If the samples are spread out evenly, the circular STD will be close to one. Importantly, however, a circular variance of 1 does not imply a uniform distribution around the circle. If all samples either point towards 0° or 180°, the circular variance is 1, yet the data is not distributed uniformly around the circle. The sensitivity is reassessed based on the directional statistics approach, and compared with CRB. The sensitivities of CRB are high where the derivatives of the brightness temperatures changing rapidly. The incorrect results come from the effect of nonlinearity. When the directional statistics approach is used, the peak disappeared where the derivatives of the brightness temperatures changing rapidly. In addition, the directional statistics approach can be used to estimate the characterization of uncertaintys in wind vector retrievals from Scatterometry.
收录类别EI
会议主办者Development and Research Academy for Global Optical Neo-technology (DRAGON); et al.; JORCEP (Sino-Swedish Joint Research Center of Photonics); South China Normal University; South China Normal University, Centre for Opt. and Electromagn. Res., South China Academy of Advanced Optoelectronics; ZJU Institute for Opto-Electronic Technology Commercialization (IOTEC)
会议录Progress in Electromagnetics Research Symposium
会议录出版者Electromagnetics Academy
语种英语
ISSN号1559-9450
ISBN号9781934142288
内容类型会议论文
源URL[http://ir.nssc.ac.cn/handle/122/4358]  
专题国家空间科学中心_微波遥感部
推荐引用方式
GB/T 7714
Tong, Xiaolin,Wang, Zhenzhan,Li, Qingxia. Uncertainty estimation in vector wind retrievals from satellite-based polarimetric microwave radiometer measurements[C]. 见:Progress in Electromagnetics Research Symposium, PIERS 2014. Guangzhou, China. August 25, 2014 - August 28, 2014.
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