Supporting Data for "Regional Sensitivity Patterns of Arctic Ocean Acidification Revealed With Machine Learning"

This repository contains additional model simulation data used in the following paper: Krasting et al., 2022: Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning. Communications Earth & Environment. Description of data files in this repository: GFDL-CM4.c_ant.nc (42M) - NetCDF file of anthropogenic carbon inventory for 3 historical simulation ensemble members performed with the NOAA GFDL-CM4 climate model GFDL-ESM4.c_ant.nc (12M) - NetCDF file of anthropogenic carbon inventory for 3 concentration-driven historical simulation ensemble members performed with the NOAA GFDL-ESM4 Earth system model GFDL-ESM4e.c_ant.nc (12M) - NetCDF file of anthropogenic carbon inventory for 3 emission-driven historical simulation ensemble members performed with the NOAA GFDL-ESM4 Earth system model Notes: Anthropogenic carbon was calculated by vertically-integrating the dissolved inorganic carbon tracer (dissic) simulated at year 2002 and subtracting from the corresponding year of the preindustrial control simulation Results are provided on the models' native tripolar grids. Supporting grid metrics are provided in each NetCDF file All other model simulation data used in Krasting et al. 2022 is available publicly through the Earth System Grid Federation.本仓库包含Krasting等人2022年发表于《Communications Earth & Environment》的论文《利用机器学习揭示的北冰洋酸化区域敏感特征》（Regional sensitivity patterns of Arctic Ocean acidification revealed with machine learning）中所使用的补充模型模拟数据。 本仓库内各数据文件说明如下： 1. GFDL-CM4.c_ant.nc（42M）：采用NOAA GFDL-CM4气候模型开展的3个历史模拟集合成员的人为碳储量NetCDF文件 2. GFDL-ESM4.c_ant.nc（12M）：采用NOAA GFDL-ESM4地球系统模型开展的3个浓度驱动历史模拟集合成员的人为碳储量NetCDF文件 3. GFDL-ESM4e.c_ant.nc（12M）：采用NOAA GFDL-ESM4地球系统模型开展的3个排放驱动历史模拟集合成员的人为碳储量NetCDF文件 注：人为碳的计算方式为：对2002年模拟得到的溶解无机碳示踪剂（dissolved inorganic carbon, dissic）进行垂直积分，再减去预工业时代控制模拟对应年份的垂直积分值。 所有结果均采用模型原生三极网格格式提供，相关网格度量参数已包含在各NetCDF文件中。 Krasting等人2022年研究中使用的其余模型模拟数据，可通过地球系统网格联合会（Earth System Grid Federation）公开获取。