HydroFrame is a platform that facilitates easy interaction with large computationally intensive hydrologic models and massive simulated outputs. The tools enable users to subset model inputs and outputs for any watershed in the United States and to develop their own models.
ParFlow is an open-source, community-integrated hydrology model that is freely available on GitHub. ParFlow is a numerical model that simulates the hydrologic cycle from the bedrock to the top of the plant canopy. It integrates three-dimensional groundwater flow with overland flow and plant processes using physically based equations to rigorously simulate fluxes of water and energy in complex real-world systems.
The Community Surface Dynamics Modeling System (CSDMS) deals with the Earth's surface—the ever-changing, dynamic interface between lithosphere, hydrosphere, cryosphere, and atmosphere. CSDMS is a diverse community of experts promoting the modeling of earth surface processes by developing, supporting, and disseminating integrated software modules that predict the movement of fluids, and the flux (production, erosion, transport, and deposition) of sediment and solutes in landscapes and their sedimentary basins.
Supports research on water beneath and on the Earth’s surface as well as relationships of water with material and living components of the environment, with a focus on hydrologic processes and fluxes of water.
The Interdisciplinary Research for Arctic Coastal Environments (InteRFACE) project focuses on how the coupled, multiscale feedbacks among land processes (permafrost thaw, hydrology, and erosion), sea ice (morphology and coupling), ocean dynamics (stratification, waves, and tides), coastal change (erosion, deposition, and flooding), marine biogeochemistry, and human systems (transportation, resource availability and extraction, and settlements) will control the trajectory and rate of change across the Arctic coastal interface.
DOE's Energy Exascale Earth System Model (E3SM) is a state-of-the-science Earth system model development and simulation project to investigate energy-relevant science using code optimized for DOE's advanced computers.