Streamflow datasets from the high-resolution, multiscale, differentiable HBV hydrologic models
Authors/Creators
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1.
Pennsylvania State University
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1.
Pennsylvania State University
Description
This dataset is from the high-resolution, multiscale, differentiable HBV hydrologic models, provided by the Multi-scale Hydrology, Processes, and Intelligence (MHPI) team from The Pennsylvania State University, led by Dr. Chaopeng Shen's group in Hydrologic Deep Learning and Modeling.
dHBV2.0UH is a high-resolution, multiscale model that uses unit hydrograph routing.
dHBV2.0dMC is a high-resolution, multiscale model that uses external Muskingum-Cunge routing.
Please use the link in the Readme.docx file to access the dataset. A link to the code for loading the dataset is also provided in Readme.docx.
(Directly downloading the folder may exceed your browser's file limit, resulting in zero-sized data in the Zarr file. Downloading the zip file is recommended.)
The dHBV_streamflow_simulation_gages folder includes 40 years (1980–2020) of streamflow simulations at over 7,000 gage stations from GAGES-II, using both dHBV2.0UH and dHBV2.0dMC models. This data is useful for comparison with observations.
The MERIT_flux_states folder includes 40 years (1980–2020) of spatially seamless simulations of hydrologic variables over 180 thousand MERIT unit basins on CONUS from dHBV2.0UH, including baseflow, evapotranspiration (ET), soil moisture, snow water equivalent, and runoff.
The dHBV2.0_MERIT_river_network_simulation includes 10 years (1990-1999) of streamflow simulation on seamless MERIT river network by dHBV2.0dMC (40 years data will come with paper acceptance).
Files
dHBVv2_dataload.ipynb
Files
(768.2 kB)
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Additional details
Funding
- National Oceanic and Atmospheric Administration
- The Cooperative Institute for Research to Operations in Hydrology (CIROH) NA22NWS4320003
Dates
- Submitted
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1980-01-01/2020-12-31