
A collection of Jupyter notebooks demonstrating geoscientific workflows that use data from NCAR's Geoscience Data Exchange (GDEX), with computations performed on NCAR's HPC resources (Casper / Derecho). Covers observational, reanalysis, simulation, and data-fusion examples. Rendered site: https://ncar.github.io/gdex-examples/
MyST, Jupyter Book, geoscience, reanalysis, NCAR, earth-system-science, GDEX, climate
Jupyter Notebook
MyST, Jupyter Book, geoscience, reanalysis, NCAR, earth-system-science, GDEX, climate
Jupyter Notebook
| 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 | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
