Data Archive for Zhang, et al., “A Geophysical Model Function for S-band Reflectometry of Ocean Surface Winds in Tropical Cyclones,” accepted to Geophysical Research Letters

This is the data Archive for Zhang, et al., “A Geophysical Model Function for S-band Reflectometry of Ocean Surface Winds in Tropical Cyclones,” accepted by Geophysical Research Letters. This data set was generated from twelve (12) days of airborne S-band (2.3 GHz) reflectometry data collected during the 2014 hurricane season between 2 July 2014 and 17 September 2014. Cross-correlations between the direct and reflected S-band signals, commonly referred to as the “waveform” or delay-Doppler map (DDM) are provided with corresponding aircraft time and position data. An empirical model function, relating the sensed ocean surface mean square slope (MSS) to wind speed was then developed by fitting MSS estimates to comparison wind speed data from the Stepped-Frequency Microwave Radiometer (SFMR) on the same aircraft. This model function was applied for wind speed retrievals using an independent set of reflectometry measurements and validated against four (4) data sources: SFMR, HWFR, dropsondes, and flight-level winds. Estimated MSS and wind speeds are provided for both the training (calibration) and validation sets. Please refer to the GRL paper for more details. Figure numbers in the documentation refer to this paper.

本数据集为张等人发表于《地球物理研究快报》的论文《热带气旋海面S波段反射测量的地球物理模型函数》的配套数据集。该数据集源于2014年7月2日至9月17日间，在2014年飓风季节期间，通过搭载在机载设备上的S波段（2.3 GHz）反射测距仪，连续12天内所收集的数据。数据集包含了直接信号与反射信号的互相关性分析，通常称为‘波形’或延迟-多普勒图（DDM），并附带相应的飞机时间和位置数据。随后，研究者通过将海洋表面均方斜率（MSS）的估计值与同一飞机上搭载的步进频率微波辐射计（SFMR）比较的风速数据拟合，开发出一个经验模型函数，该函数关联了测量的海洋表面均方斜率（MSS）与风速。此模型函数被应用于独立反射测距测量值的风速反演，并通过四个数据源：SFMR、HWFR、降水探空仪和飞行高度风速数据进行验证。训练（校准）集和验证集中的估计MSS和风速值均提供。有关详细信息，请参阅GRL论文。文档中的图编号均指向该论文。