cheginit / epa_cop_webinar

Materials for the EPA's CoP Webinar on HyRiver

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EPA's CoP Webinar

In this webinar, we will focus on the classification of NHD catchments across CONUS into three types based on their hydrological characteristics, specifically examining drought propagation mechanisms based on Apurv et al., (2017). Utilizing StreamCat data, we will train a machine-learning model and leverage the HyRiver software stack for efficient data retrieval and processing operations.

Prerequisites

We use the following software stack:

  • Python 3.10
  • HyRiver: For data retrieval and processing
  • PyTorch Tabular: For training a machine learning model and making predictions over the entire CONUS

Installation

Note that PyTorch Tabular is not available on conda-forge yet, so we will install it from pip. First, create a new conda/mamba environment:

conda create -n cop-webinar python=3.10
conda activate cop-webinar

Then, install the dependencies:

pip install -r requirements.txt

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Materials for the EPA's CoP Webinar on HyRiver

License:MIT License


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