Research data underlying "Polygon-Informed Cross-Track Altimetry (PICTA): Estimating river water level profiles with the Sentinel-6 altimeter"

This dataset contains the research data underlying the publication "Polygon-Informed Cross-Track Altimetry (PICTA): Estimating river water level profiles with the Sentinel-6 altimeter". The preprint of this publication is available at SSRN: http://dx.doi.org.tudelft.idm.oclc.org/10.2139/ssrn.4851452 <br><strong>Contents</strong>The dataset contains altimetry data of the Sentinel-6 mission over small parts of the Garonne and Creuse rivers in France in two processing stages:the FFSAR-processed altimetry signal, derived from EUMETSAT Level-1a altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0093) via the processor described in Ehlers et al. 2022 (http://doi.org/10.1016/j.asr.2022.11.034). The data in the form of netcdf files is contained in the zip-archivesGaronne_FFSAR_altimetry_data.zipCreuse_FFSAR_altimetry_data.zipthe PICTA-processed river water level profiles, derived from the FFSAR-processed altimetry data and the geophysical corrections contained in EUMETSAT Level-2 altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0096), see source publication for details. The data in the form of netcdf files is contained in the zip-archivesGaronne_river_profile_data.zipCreuse_river_profile_data.zip<br>For both processing levels, the archives contain netCDF files with the data of single satellite overpasses (as in the original EUMETSAT datasets). For convenience, both the FFSAR-processed and the PICTA-derived data that belong to a specific overpass carry the original file identifier of the underlying Level-1a altimetry data (http://doi.org/10.15770/EUM_SEC_CLM_0093) plus the extension "_TUDelft".<br><br><br><br>

本数据集包含发表论文《多边形辅助跨轨道测高（Polygon-Informed Cross-Track Altimetry，PICTA）：利用Sentinel-6测高仪（Sentinel-6）估算河流水位剖面》的支撑研究数据。该论文的预印本可在SSRN平台获取：http://dx.doi.org.tudelft.idm.oclc.org/10.2139/ssrn.4851452。

**数据集内容**
本数据集包含法国加龙河与克勒兹河部分河段的Sentinel-6任务测高数据，分为两个处理阶段：
1. 经聚焦合成孔径雷达（Focused Synthetic Aperture Radar，FFSAR）处理的测高信号：该数据源自欧洲气象卫星应用组织（European Organisation for the Exploitation of Meteorological Satellites，EUMETSAT）Level-1a测高数据（http://doi.org/10.15770/EUM_SEC_CLM_0093），通过Ehlers等人2022年提出的处理器生成（http://doi.org/10.1016/j.asr.2022.11.034）。该数据以网络通用数据格式（NetCDF，Network Common Data Form）存储，封装于以下压缩归档文件中：Garonne_FFSAR_altimetry_data.zip、Creuse_FFSAR_altimetry_data.zip。
2. 经PICTA处理的河流水位剖面：该数据由FFSAR处理后的测高数据，以及EUMETSAT Level-2测高数据中包含的地球物理校正项生成（数据来源：http://doi.org/10.15770/EUM_SEC_CLM_0096），详细处理流程请参见源发表论文。该数据以网络通用数据格式（NetCDF）存储，封装于以下压缩归档文件中：Garonne_river_profile_data.zip、Creuse_river_profile_data.zip。

针对两个处理层级的数据集，所有压缩归档均包含对应单次卫星过境的NetCDF数据文件（与原始EUMETSAT数据集格式一致）。为便于使用，属于同一次过境的FFSAR处理数据与PICTA衍生数据，均沿用其原始Level-1a测高数据的文件标识符（http://doi.org/10.15770/EUM_SEC_CLM_0093），并添加后缀“_TUDelft”以作区分。