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Understanding the spatial autocorrelation of streamflow across the U.S.

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qkrig

Understanding the spatial autocorrelation of streamflow across the U.S.

Structure

This repository should have code that follows, roughly, the following structure.

src

This is where the bulk of the code lives. This is the code that does all the real work. There is currently a file called camelskrig.py that has code to load in discharge data for the CAMELS catchments and do a kriging analysis, inclding a variogram, interpolation and error variance plot.

Notebooks

This is how to run and visualize the code for basic development and prototyping. There is currently an example called camelskrig.ipynb which runs the code for the CAMELS basins.

Scripts

This is any code that does a quick and dirty task, such as generating configuration files, launching jobs on a high performance computer, or replacing some values in a bunch of files, etc. There is currently an example configuration camelskrig.yaml that has some options to do a kriging analysis on runoff for the CAMELS dataset.

configs

This is all the basic information needed to run code for any specific purpose. This would be like options, directories, hyperparameters, etc.

environment

This directory has information on what needes to be installed before the code in this repository can be run.

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Understanding the spatial autocorrelation of streamflow across the U.S.

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