Daily sea ice lead data for Arctic and Antarctic

The data show the long-term relative sea ice lead frequencies for the Arctic (November – April 2002/03 – 2018/19) and Antarctic (April – September 2003 – 2019), respectively. The data are projected onto the coordinate grid EPSG:3413 (ARC) and ESPG:3412 (ANT) at a spatial resolution of 1 km² and are stored as NetCDF4 files.
Ice surface temperature data (MYD/MOD29 col. 6 [Hall and Riggers, 2015]) from the Moderate-Resolution Imaging Spectroradiometer (MODIS) are used to derive daily observations of sea ice leads in both polar regions. Sea ice leads are defined as significant local surface temperature anomalies and they are automatically identified during a two-stage process, including 1) the tile-based retrieval of potential sea ice leads and 2) the identification of cloud artefacts using fuzzy logic (see Reiser et al., 2020 for further details [Reiser et al., 2020]). Subsequently, all daily sea ice lead maps are combined to long-term averages showing the climatological distribution of leads in the Arctic and Antarctic, respectively. The dataset represents an update for the Arctic (Willmes & Heinemann, 2016 [Willmes and Heinemann, 2016]) and is the first for the Antarctic. These maps reveal, that multiple distinct features with increased lead frequencies are present that are related to bathymetric structures, e.g. the continental shelf break or ridges and troughs.

本数据集呈现了北极（2002/03年度11月—2018/19年度4月）与南极（2003年4月—2019年9月）的长期相对冰间水道（sea ice lead）出现频率。数据采用EPSG:3413（北极坐标系，ARC）与EPSG:3412（南极坐标系，ANT）坐标网格投影，空间分辨率为1平方千米，存储格式为NetCDF4文件。
本研究使用中分辨率成像光谱仪（Moderate-Resolution Imaging Spectroradiometer, MODIS）搭载的冰面温度数据（MYD/MOD29 第6版「Hall与Riggers, 2015」），反演得到南北极地区每日冰间水道观测数据。冰间水道被定义为显著的局地地表温度异常，通过两阶段流程自动识别：1）基于瓦片的潜在冰间水道反演；2）采用模糊逻辑识别云伪影（详细方法参见Reiser等人2020年研究「Reiser et al., 2020」）。
随后，将所有每日冰间水道分布图整合为长期平均结果，分别呈现南北极冰间水道的气候学分布特征。本数据集是北极地区原有数据集的更新版本「Willmes与Heinemann, 2016」，同时也是南极地区首份同类数据集。
该分布图显示，存在多处冰间水道出现频率显著升高的独特特征，这些特征与海底地形结构密切相关，例如大陆架坡折、海脊与海槽。

搜集汇总

背景与挑战

背景概述

该数据集提供了北极和南极的每日海冰水道数据，覆盖北极2002/03至2018/19年冬季和南极2003年至2019年冬季，空间分辨率为1 km²。数据基于MODIS卫星的冰面温度，通过自动化算法识别水道，并存储为NetCDF4格式，揭示了与海底地形相关的长期水道分布特征。