SMURPHS OHC dataset
收藏DataCite Commons2023-06-19 更新2024-08-18 收录
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https://figshare.com/articles/dataset/data_in/19281761/6
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资源简介:
<strong>Data produced by analysis of the SMURPHS ensemble model output, as described in Boland et al 2023 (https://doi.org/10.1029/2022JC018725). This data is required to reproduce the figures from this paper.</strong> <br> See https://doi.org/10.5281/zenodo.6418479 for: -notebooks to produce the figures from Boland et al 2023 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, other_model_data - Figure 2: ohc_tseries, pic_data, other_model_data - Figure 3: ohc_trends - Figures 4, S2, S3: ohc_xy - Figures 5, S4-S7: ohc_yz - Figure 6: ohc_xy - Figure 7: ohc_yz, other_model_data - Figure S1: pic_data - Figure S8: amoc_tseries - Figure S9: 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:
2023-06-19



