camels-dataset

Autonomous Computational Research Platform for Hydrology

Python package to easily load and use the CAMELS-AUS dataset

CAMELS dataset in NetCDF/Feather formats

The newly developed dataset, CAMELS-Chem, compiles USGS water chemistry and instantaneous discharge from 1980 through 2014 in 493 headwater catchments. It includes common stream water chemistry related constituents, as well as an overlapping set of annual wet deposition load from the National Atmospheric Deposition Program.

Can the Lyman-α forest tell Ω₀ from σ₈? Synthetic-spectra pipeline over the CAMELS IllustrisTNG simulation sets.

Denoising Diffusion Probabilistic Model (DDPM) in Pytorch to generate CAMELS astrophysical maps.

Predicting Streamflow in CAMELS Catchments Using LSTM and Transformers

Predicting hydrologic processes for the Continental United States (CONUS) using hydrologic signature approach