Python package to easily load and use the CAMELS-AUS dataset
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Updated
Apr 23, 2022 - Python
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.
Autonomous Computational Research Platform for Hydrology
Denoising Diffusion Probabilistic Model (DDPM) in Pytorch to generate CAMELS astrophysical maps.
Comprehensive Python toolkit for analyzing the Lyman-alpha forest from cosmological simulations (CAMELS project). Features multi-line spectral analysis, CGM-targeted observations, and memory-efficient comparison tools for large-scale parameter studies.
Predicting Streamflow in CAMELS Catchments Using LSTM and Transformers
Predicting hydrologic processes for the Continental United States (CONUS) using hydrologic signature approach
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