data_in
收藏DataCite Commons2022-04-06 更新2024-07-29 收录
下载链接:
https://figshare.com/articles/dataset/data_in/19281761/1
下载链接
链接失效反馈官方服务:
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>
提供机构:
figshare
创建时间:
2022-04-06



