CNES_CLS 2022 Mean Sea Surface

The mean sea surface MSS_CNES_CLS2022 has been computed using a 29-year [1993-2021] period of altimetric data. As usually, the mean profiles from ERM (Exact Repeat Mission) missions (T/P, J1, 2, 3, ERS-2, Envisat, AltiKa, GFO) that provide the most accurate estimate of the oceanic mean content are used. This version includes new High Resolution datasets from CryoSat-2 and AltiKa which are respectively sampled at 20 Hz and 40 Hz. However, these data had to be filtered at 5 Hz to obtain a better signal to noise ratio. This new solution is also improved in arctic region using an optimal combination between conventional SSH and LEADS (linear fractures) over free ice areas (missions Sentinel-3A, B). The mapping method is based on a local least square collocation technique which also provides an estimation of calibrated error.平均海平面数据集MSS_CNES_CLS2022系基于1993年至2021年共计29年的测高数据计算生成。遵循通用研究规范，本数据集采用ERM（Exact Repeat Mission，准确重复任务）系列任务的平均剖面数据，涵盖T/P、J1、J2、J3、ERS-2、Envisat、AltiKa、GFO，此类任务可提供精度最优的海洋平均状态估算结果。本版本新增了CryoSat-2与AltiKa搭载的高分辨率数据集，二者采样频率分别为20 Hz与40 Hz；但为获得更优信噪比，需将此类数据滤波至5 Hz。针对北极区域，本数据集通过融合哨兵-3A、3B任务获取的常规海面高度（Sea Surface Height, SSH）与无冰区LEADS（线性断裂带，linear fractures）数据，实现了区域精度优化。本数据集的制图方法基于局部最小二乘配置技术，该技术可同步输出校准后的误差估算值。

搜集汇总

背景与挑战

背景概述

CNES_CLS 2022 Mean Sea Surface是一个全球平均海面高度数据集，基于1993-2012年期间29年的多卫星高度计数据（如Topex/Poseidon、Jason系列、Sentinel-3等）生成，覆盖79.4°S至88°N的全球范围。该数据集以1/60°×1/60°的规则网格提供平均海面高度和误差场，格式为netCDF-4，文件大小为1.6 GB，主要用于大地测量、地球物理和海洋学（如业务海洋学、建模和海洋变异性研究）领域。