Data Archives

Model-data use cases and test problems available to community

  1. Mital U ; Dwivedi D ; Brown J ; Faybishenko B ; Painter S ; Steefel C (2021): Scripts and raw/processed precipitation NRCS network data, Upper Colorado, 2008-2017. ExaSheds. doi:10.15485/1766329
  2. Cromwell E ; Shuai P ; Jiang P ; Coon E ; Painter S ; Moulton D ; Lin Y ; Chen X (2020): Estimating Watershed Subsurface Permeability From Stream Discharge Data using Deep Neural Networks, Frontiers in Earth Science: Dataset. ExaSheds. doi:10.15485/1756193
  3. Mudunuru, M.K., Cromwell, E.L.D., Wang, H. and Chen, X., 2021. Deep Learning to Estimate Permeability using Geophysical Data. arXiv preprint arXiv:2110.10077.
  4. Shuai P ; Chen X ; Mital U ; Coon E ; Dwivedi D (2022): Data-model files associated with the manuscript “The Effects of Spatial and Temporal Resolution of Gridded Meteorological Forcing on Watershed Hydrological Responses” (Shuai et al., 2022 HESS). ExaSheds, ESS-DIVE repository. Dataset. doi:10.15485/1861432
  5. Mital U ; Dwivedi D ; Brown J ; Steefel C  (2021): Downscaled precipitation and mean air temperature datasets; East-Taylor subbasin; 2008-2019; daily temporal resolution; 400 m spatial resolution. ExaSheds, ESS-DIVE repository. Dataset. doi:10.15485/1822259

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Software Releases:

  1. Amanzi–ATS v1.2: 
    1. ATS Release:  https://github.com/amanzi/ats
  2. CrunchTope Release:  
    1. https://github.com/CISteefel/CrunchTope
    2. https://github.com/CISteefel/CrunchTope/releases/tag/v2.0.1 (April 13, 2022)
  3. Watershed Workflow v1.0: 
    1. https://github.com/ecoon/watershed-workflow
    2. https://doi.org/10.11578/dc.20211008.1

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