Published May 3, 2021 | Version v1

Output data for "Deep learned process parameterizations provide better representations of turbulent heat fluxes in hydrologic models"

  • 1. University of Washington

Description

This contains all of the processed/merged output from the simulations for the paper "Deep learned process parameterizations provide better representations of turbulent heat fluxes in hydrologic models", submitted to WRR.

Files

summa_sa_nn1w_nn2w_output.zip

Files (2.8 GB)

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md5:f2e3bb4404281200ff77bfa0e38f2e61
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