论文标题
通过高斯工艺比较Cygns和Jason-3风速测量
Comparison of CYGNSS and Jason-3 Wind Speed Measurements via Gaussian Processes
论文作者
论文摘要
风是地球系统的关键组成部分，对日常生活产生了明显的影响。 Cygns卫星任务通过八个使用反射的GNSS信号推断表面风速的微型卫星的车队改善了海洋风的观察覆盖范围。我们提出了表征八个Cygns卫星和天线之间风速测量变化的分析。特别是，我们使用经过精心构建的高斯工艺模型，该模型在2019年9月至2020年9月的一年内利用了Cygnss和Jason-3之间的比较。Cygnss传感器表现出一系列偏见，其中大多数是-1.0 m/s和+0.2 m/s与Jason-3相对于Jason-3，而与Jason-3相对于Jasss Sensors，这是偏见Jason-3。右舷和天线卫星内港口天线之间的偏见小。我们的结果与更传统的配对比较分析相一致，但比更明显。我们还探讨了偏见取决于风速的可能性，发现一些证据表明Cygns卫星在低风速下对Jason-3具有正偏见。但是，我们认为与估计风速依赖性偏差有关的微妙问题，因此有必要进行其他仔细的统计建模和分析。
Wind is a critical component of the Earth system and has unmistakable impacts on everyday life. The CYGNSS satellite mission improves observational coverage of ocean winds via a fleet of eight micro-satellites that use reflected GNSS signals to infer surface wind speed. We present analyses characterizing variability in wind speed measurements among the eight CYGNSS satellites and between antennas. In particular, we use a carefully constructed Gaussian process model that leverages comparisons between CYGNSS and Jason-3 during a one-year period from September 2019 to September 2020. The CYGNSS sensors exhibit a range of biases, most of them between -1.0 m/s and +0.2 m/s with respect to Jason-3, indicating that some CYGNSS sensors are biased with respect to one another and with respect to Jason-3. The biases between the starboard and port antennas within a CYGNSS satellite are smaller. Our results are consistent with, yet sharper than, a more traditional paired comparison analysis. We also explore the possibility that the bias depends on wind speed, finding some evidence that CYGNSS satellites have positive biases with respect to Jason-3 at low wind speeds. However, we argue that there are subtle issues associated with estimating wind speed-dependent biases, so additional careful statistical modeling and analysis is warranted.
