The CAMELS dataset

This package provides an interface to the Catchment Attributes and Meteorology for Large-sample Studies (CAMELS) dataset. This package only provides simplified access to the data in Python, the actual work of generating the dataset has been done by Andrew Newman and colleagues at NCAR and is described in the following article:

A. Newman; K. Sampson; M. P. Clark; A. Bock; R. J. Viger; D. Blodgett, 2014. A large-sample watershed-scale hydrometeorological dataset for the contiguous USA. Boulder, CO: UCAR/NCAR

Usage

Pytorch

from camels.pytorch import Streamflow
gauge_id = 13331500

training_data = Streamflow(gauge_id, "training")
validation_data = Streamflow(gauge_id, "validation")
test_data = Streamflow(gauge_id, "testing")