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.ipynbfigure 5 was generated with this notebook: figure5_j_functions.ipynbfigure 6 and 8 were assembled (with inkscape) from pieces generated with this notebook: figure6_2d_maps_of_retracked_parameters.ipynbnote 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.ipynbit uses waveforms and retracked parameters that are in the retracked folderfigure 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.npzhs_ze_retrack_3par_nmls_erf_flat_35_phase180_128_rat0600_nonoise_cfosat.npzfigure c1 was generated with this notebook: figurec1_retracking_cfosat.ipynb

本数据包包含了用于模拟或分析测高仪波形的相关 Python 脚本与代码，如 De Carlo 等人（2023）及 De Carlo 和 Ardhuin（筹备中）所述。这些代码被用于第二篇论文中的图示：图1改编自 De Carlo 等人（2023年《Journal of Geophysical Research》附录）；图2利用本笔记本生成：figure2_retracking_cfosat.ipynb。请注意，本笔记本使用了一系列 Python 函数进行测高仪波形的重新追踪，以及此处复制的 CFOSAT 数据的 L1A 和 L2 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和图8由 Inkscape 软件汇编自本笔记本生成的片段：figure6_2d_maps_of_retracked_parameters.ipynb。需要注意的是，某些模拟步骤（尤其是波形的生成）可能耗时较长。您可以选择将波形保存以供后续重新追踪（采用不同选项）。为此，您可以设置不同的“iscompute”变量为0。本笔记本使用 CFOSAT 数据来源自 L2s 数据源：spectrum_l2s_ind9_35.nc，该数据由 Marine De Carlo 按照 De Carlo 等人（2023）的描述重新处理。图7由本笔记本制作：figure7_analyze_1d_coherence.ipynb，其中使用的是存储在重新追踪文件夹中的波形和重新追踪的参数。图11使用“simulations”文件夹中的数据和笔记本生成。请注意，在此处生成和重新追踪的波形在单核 Intel i7 笔记本上计算耗时几天。图b1由本笔记本生成：figureb1_effects_of_phase.ipynb，以及 figure6* 笔记本输出的一系列结果：hs_ze_retrack_3par_nmls_erf_flat_35_phase000_128_rat0600_nonoise_cfosat.npz 和 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。