ESM4.1 and Argo float 7647 ESPER, eOMP files and scripts

This dataset contains NOAA GFDL's ESM4.1 outputs for the California Current System interpolated to 1˚ latitude/longitude resolution and a netCDF file containing data from Argo float 7647. The jupyter notebook files are examples of how to run eOMP analysis using these data and the pyompa scripts described in Shrikumar et al. (2022). The Argo float data does not include phosphate and silicate, which were not measured. These variables are estimated using ESPER routines (Carter et al., 2021) as described in the matlab file. Shrikumar, A., Lawrence, R., Casciotti, K.L.. PYOMPA version 0.3: Technical Note. <em>Authorea</em>. February 04, 2022. doi:10.1002/essoar.10507053.4 Carter, B.R., Bittig, H.C., Fassbender, A.J., Sharp, J.D., Takeshita, Y., Xu, Y-Y., Álvarez, M., Wanninkhof, R., Feely, R.A., Barbero, L., 2021. New and updated global empirical seawater property estimation routines. Limnol Oceanogr Methods, 19: 785-809. doi:10.1002/lom3.10461本数据集包含美国国家海洋和大气管理局（National Oceanic and Atmospheric Administration, NOAA）地球物理流体动力学实验室（Geophysical Fluid Dynamics Laboratory, GFDL）针对加利福尼亚海流系统生成的ESM4.1模式输出结果，该结果已被插值至1°纬度/经度分辨率；同时附带一个包含Argo浮标（Argo float）7647观测数据的netCDF格式文件。 本数据集附带的Jupyter Notebook文件为使用上述数据及Shrikumar等人（2022）文中描述的pyompa脚本开展eOMP分析的示例代码。 该Argo浮标数据未包含磷酸盐与硅酸盐（未开展相关测量），根据配套Matlab文件中的说明，上述两类变量通过ESPER程序（Carter等，2021）进行估算。 Shrikumar, A.、Lawrence, R.、Casciotti, K.L.，《PYOMPA 0.3版：技术说明》，*Authorea*，2022年2月4日，DOI: 10.1002/essoar.10507053.4 Carter, B.R.、Bittig, H.C.、Fassbender, A.J.、Sharp, J.D.、Takeshita, Y.、Xu, Y-Y.、Álvarez, M.、Wanninkhof, R.、Feely, R.A.、Barbero, L.，2021年，《新型及升级后的全球经验性海水参数估算方法》，《Limnol Oceanogr Methods》，19卷：785-809，DOI: 10.1002/lom3.10461