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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. Authorea. 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
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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