Python codes were conceived to work with ASCII .txt files with XYZ arrays, both as input and output. This makes codes highly compatible and universally usable. Code A provides an example of conversion
We develop an approach to correct biases in the atmospheric component of the Community Earth System Model using convolutional neural networks (CNNs) to create a corrective model...
The mean-state bias and the associated forecast errors of the El Nino-Southern Oscillation (ENSO) are investigated in a suite of 2-yr-lead retrospective forecasts conducted with...
Jupyter notebooks for post-processing of the wetting benchmark results using RDF curvature model. The post-processing, based on Jupyter notebooks, are not just for OpenFOAM, but for any other simulati
This resource contains Jupyter Notebooks that are used for post-processing the retrieved National Water Model retrospective simulations (NWM-R2), which are geospatial gridded results with a spatial re
