Data for study: Obukhov length estimation from spaceborne radars

Post-processed data used during study "Obukhov length estimation from spaceborne radars". To be used in example notebook available at http://github.com/owenodriscoll/supplement_paper/. CSV's contain the processed buoy, ERA5 and SAR data with which to reproduce study's results and Jupyter Notebooks. Air/sea temperature, surface pressure, wind speeds and measurement heights of the buoy and ERA5 data are provided to the COARE-like algorithm available at https://cerform.readthedocs.io/en/latest/api/cerform.flux.html#module-cerform.flux.coare4, from which all the higher level atmospheric statistics originate.

Contents:

df_buoys.csv: co-location information between buoys and ERA5. Parameters without suffix "_era5" are from the buoy.

df_cells.csv: SAR co-locations with ERA5 for scenes classified as cells. 

df_rolls.csv: SAR co-locations with ERA5 for scenes classified as rolls. 

df_rolls_buoy.csv: triple co-location between buoys, ERA5 and SAR scenes classified as rolls. Parameters without suffix "_era5" and "_buoy" are derived from the SAR observation.

roll.nc: example radar scene containing a roll-like structure (with superimposed swell). To be used as an example of feature extraction from SAR scenes.

本数据集为研究《星载雷达反演奥布霍夫长度》过程中使用的后处理数据，可配合开源示例Jupyter Notebook使用，相关Notebook托管于http://github.com/owenodriscoll/supplement_paper/。该数据集包含经过预处理的浮标、ERA5与合成孔径雷达（SAR）数据，可用于复现该研究的结果及配套Jupyter Notebook示例。数据集提供了浮标与ERA5数据的气温、海温、地表气压、风速及测量高度信息，可输入至类似COARE的通量算法（该算法详见https://cerform.readthedocs.io/en/latest/api/cerform.flux.html#module-cerform.flux.coare4），所有高阶大气统计量均源自该算法。

数据内容：
1. df_buoys.csv：浮标与ERA5的共定位信息。无"_era5"后缀的参数均来自浮标观测。
2. df_cells.csv：被归类为“单元场景”的合成孔径雷达（SAR）与ERA5的共定位数据。
3. df_rolls.csv：被归类为“卷状结构场景”的合成孔径雷达（SAR）与ERA5的共定位数据。
4. df_rolls_buoy.csv：浮标、ERA5与被归类为卷状结构场景的SAR三者的共定位数据。无"_era5"和"_buoy"后缀的参数均源自SAR观测。
5. roll.nc：包含卷状结构（叠加有涌浪）的示例雷达场景数据，可作为SAR场景特征提取的演示素材。