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Small, notebook based repository to grid and explore various geothermal datasets and products.

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GeothermalGrid

Small, notebook based repository to grid and explore various geothermal datasets and products.

example of output

Python Packages Used

Pandas, Xarray, Verde, Matplotlib, SciPy, Numpy

Data sets

SMU Data here

USGS Gridded Data here

Gravity data here

Dataset need: BHT's for all of California would help (Salton Sea is a big hole!)

Any other machine-readable Geothermal datasets would be great.

Papers of interest

This list is not exhaustive, but some of these papers either discuss datasets used or other factors.

When less is more: How increasing the complexity of machine learning strategies for geothermal energy assessments may not lead toward better estimates

The value of geophysical data for geothermal exploration: Examples from empirical, field, and synthetic data

Northwest Volcanic Geothermal Province Studies

Discussion

Discussion of this work is happening on Software Underground in the geothermal channel.

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Small, notebook based repository to grid and explore various geothermal datasets and products.

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