data_in
收藏资源简介：
<b>Data produced by analysis of the SMURPHS ensemble model output, as described in Boland et al 2022 (in prep). This data is required to reproduce the figures from this paper.</b><br>See https://github.com/emmomp/SMURPHS_OHC for:-notebooks to produce the figures from Boland et al 2022 (in prep) using this data - see below for which tar balls are needed for which figure.<br>-code to reproduce this data from the SMURPHS model output <br><br>To reproduce the figures, you need the following directories/files:- Figure 1 & Table 2: ohc_tseries, pic_data- Figure 2: ohc_tseries, pic_data, other_model_data- Figure 3: ohc_trends- Figures 4, S1, S2: ohc_xy- Figures 5, S3-S6: ohc_yz- Figure 6: ohc_xy- Figure 7: ohc_yz- Figure S7: amoc_tseries- Figure S8: SIE_SH.nc<br>The data files loaded were created using the python scripts in https://github.com/emmomp/SMURPHS_OHC/code/ as follows:- ohc_tseries: ohc_by_basin_depth.py<br>- pic_data: ohc_by_basin_depth_pic.py, ohc_pic_drift.py, ohc_xy_pic_drift.py, ohc_yz_pic_drift.py, ohc_xy_pic.py, ohc_yz_pic.py- ohc_trends: ohc_weightedtrends_obs.py, ohc_weightedtrends.py- ohc_xy: ohc_xy.py, ohc_xy_trends.py- ohc_yz: ohc_yz.py, ohc_yz_trends.py- amoc_tseries: calculate_AMOC.py- SIE_SH.nc : calc_SH_SIE.py<br>For the SMURPHS ensemble, see Dittus et al. 2020 (https://doi.org/10.1029/2019GL085806)<br><br>
**本数据集由对SMURPHS集合模式输出的分析所得，相关细节详见Boland等（2022，待发表）的研究。本数据可用于复现该论文的全部图表。** 访问 https://github.com/emmomp/SMURPHS_OHC 可获取： - 用于基于本数据复现Boland等（2022，待发表）论文图表的Jupyter Notebook代码：详见下文说明不同图表所需的tar格式压缩包文件； - 可从SMURPHS模式输出中复现本数据集的代码。 若要复现论文图表，需获取以下目录与文件： - 图1与表2：ohc_tseries、pic_data - 图2：ohc_tseries、pic_data、other_model_data - 图3：ohc_trends - 图4、补充图S1、S2：ohc_xy - 图5、补充图S3至S6：ohc_yz - 图6：ohc_xy - 图7：ohc_yz - 补充图S7：amoc_tseries - 补充图S8：SIE_SH.nc 本数据集所用数据文件通过https://github.com/emmomp/SMURPHS_OHC/code/ 下的Python脚本生成，具体对应关系如下： - ohc_tseries：ohc_by_basin_depth.py - pic_data：ohc_by_basin_depth_pic.py、ohc_pic_drift.py、ohc_xy_pic_drift.py、ohc_yz_pic_drift.py、ohc_xy_pic.py、ohc_yz_pic.py - ohc_trends：ohc_weightedtrends_obs.py、ohc_weightedtrends.py - ohc_xy：ohc_xy.py、ohc_xy_trends.py - ohc_yz：ohc_yz.py、ohc_yz_trends.py - amoc_tseries：calculate_AMOC.py - SIE_SH.nc：calc_SH_SIE.py 关于SMURPHS集合模式的详细信息，参见Dittus等（2020）的研究（https://doi.org/10.1029/2019GL085806）
