Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Docker images for dask

Jupyter notebook class notes for Numerical Methods for PDEs

Accompanying code for our HESS paper "Towards learning universal, regional, and local hydrological behaviors via machine learning applied to large-sample datasets"

Interactive jupyter notebooks for pangeo tutorial events

Rechunking retrospective runs to more approachable chunks in Zarr output.

NOAA Phase 2 Hydrological Data Processing

This repository contains Python code that explores methods that link sampling and feature information to the NHDPlusV2 and NHDHR datasets and provides a level of certainty.

Supplementary scripts associated with releases of WRF-Hydro

Using Zarr to manage large meteorological datasets

Demonstration of Pangeo to process a year of hourly data on 2.7 million rivers in 1 minute

Integrate and test deep learning (DL) and physics-informed deep learning (PIML) streamflow models and data assimilation into NOAA’s Next Generation Water Modeling Engine and Framework Prototype.

Notebooks and other material for the Pangeo segment of the AMS Python Short Course 2021