Tools for the simulation and retracking of satellite altimetry waveforms

This data package contains Python scrips and codes for the simulation or analysis of altimeter waveforms, as described in De Carlo et al. (2023) and De Carlo and Ardhuin (in preparation). These were used for the figures of the second paper:
Figure 1 was adapted from De Carlo et al. (JGR 2023, see Appendix)
Figure 2 was generated with this notebook: Figure2_retracking_CFOSAT.ipynb    Note that this uses a nubmer of python functions for retracking altimetry waveforms, and the CFOSAT data L1A and L2 data that is copied here.
Figure 4 was generated with this notebook: Figure4_perturbed_waveforms.ipynb
Figure 5 was generated with this notebook: Figure5_J_functions.ipynb
Figure 6 and 8 were assembled (with inkscape) from pieces generated with this notebook: Figure6_2D_maps_of_retracked_parameters.ipynb Note that some of the simulation steps (in particular the generation of waveforms) can be rather long. You may choose to save waveforms for later retracking (with different options). For that you can set different "iscompute" variables to 0 . This notebook uses CFOSAT data from L2S datasource: Spectrum_L2S_ind9_35.nc  , this was reprocessed by Marine De Carlo as described in De Carlo et al. 2023.
Figure 7 was made with the notebook:  Figure7_analyze_1D_coherence.ipynb it uses waveforms and retracked parameters that are in the RETRACKED folder
Figure 11 was generated using data and notebooks in the "SIMULATIONS" folder. Note that the waveforms generated and retracked here took a few days to compute on a single processor Intel i7 laptop.
Figure B1: was generated with this notebook : FigureB1_effects_of_phase.ipynb and a number of output of the Figure6* notebook: Hs_ze_retrack_3par_NMLS_erf_flat_35_phase000_128_rat0600_nonoise_CFOSAT.npz Hs_ze_retrack_3par_NMLS_erf_flat_35_phase180_128_rat0600_nonoise_CFOSAT.npz
Figure C1 was generated with this notebook:  FigureC1_retracking_CFOSAT.ipynb

本数据包包含用于高度计波形模拟或分析的Python脚本与代码，相关描述见De Carlo等人（2023）及De Carlo与Ardhuin（待发表）的研究。这些脚本与代码用于第二篇论文中的图表生成：
图1改编自De Carlo等人（《地球物理研究期刊》（JGR）2023年，详见附录）
图2由本笔记本生成：Figure2_retracking_CFOSAT.ipynb。请注意，该笔记本使用了多个用于高度计波形重跟踪（retracking）的Python函数，以及此处复制的CFOSAT L1A和L2级数据。
图4由本笔记本生成：Figure4_perturbed_waveforms.ipynb
图5由本笔记本生成：Figure5_J_functions.ipynb
图6与图8（通过Inkscape）由本笔记本生成的片段组装而成：Figure6_2D_maps_of_retracked_parameters.ipynb。请注意，部分模拟步骤（尤其是波形生成）耗时可能较长。您可选择保存波形以供后续重跟踪（使用不同选项），为此可将不同的"iscompute"变量设为0。该笔记本使用来自L2S数据源的CFOSAT数据：Spectrum_L2S_ind9_35.nc，此数据由Marine De Carlo根据De Carlo等人2023年的研究重新处理。
图7由本笔记本生成：Figure7_analyze_1D_coherence.ipynb，其使用了RETRACKED文件夹中的波形与重跟踪参数。
图11使用“SIMULATIONS”文件夹中的数据与笔记本生成。请注意，此处生成并重跟踪的波形在单处理器Intel i7笔记本上耗时数日计算完成。
图B1由本笔记本生成：FigureB1_effects_of_phase.ipynb，以及Figure6*笔记本的若干输出文件：Hs_ze_retrack_3par_NMLS_erf_flat_35_phase000_128_rat0600_nonoise_CFOSAT.npz与Hs_ze_retrack_3par_NMLS_erf_flat_35_phase180_128_rat0600_nonoise_CFOSAT.npz。
图C1由本笔记本生成：FigureC1_retracking_CFOSAT.ipynb