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Water and Climate Modeling

Water and Climate Modeling. Reed Maxwell 1,2,3 Ian Ferguson 1,3 Shadi Moqbel 1,3 John Williams 1,2,3 Steven Meyerhoff 1,2,3 Erica Siirila 1,2,3 1 Department of Geology and Geologic Engineering 2 Hydrologic Science and Engineering Program 3 International Groundwater Modeling Center. LSM.

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Water and Climate Modeling

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  1. Water and Climate Modeling Reed Maxwell1,2,3 Ian Ferguson1,3 Shadi Moqbel1,3 John Williams1,2,3 Steven Meyerhoff1,2,3 Erica Siirila1,2,3 1Department of Geology and Geologic Engineering 2Hydrologic Science and Engineering Program 3International Groundwater Modeling Center

  2. LSM LSM LSM LSM LSM LSM LSM LSM LSM LSM We use the coupled model PF.CLM Atmospheric Forcing Land Surface Flow Divide • PF.CLM= Parflow (PF) + Common Land Model (CLM) Kollet and Maxwell (2008), Kollet and Maxwell (2006), Maxwell and Miller (2005), Dai et al. (2003), Jones and Woodward (2001); Ashby and Falgout (1996) • Surface and soil column/root zone hydrology calculated by PF (removed from CLM) • Overland flow/runoff handled by fully-coupled overland flow BC in PF (Kollet and Maxwell, AWR, 2006) • CLM is incorporated into PF as a module- fully coupled, fully mass conservative, fully parallel Air Root Zone Vadose Zone Vegetation Water Table Routed Water Flow Lines Groundwater Dynamically coupled, 2D/3D OF/LS/GW Model

  3. Fully-coupled, HPC Model of the Hydrologic cycle. • PF.WRF • ParFlow: parallel watershed model • Weather Research and Forecast (WRF) Community Mesoscale Atmospheric Model (NCAR) • Multi-institutional, Interdisciplinary team • Significant previous coupled model experience This fully coupled model predicts variations in watershed response driven by atmospheric forcing and feedbacks. Only “bedrock to top of the atmosphere” model in existence

  4. Methods Ensembles of heterogeneous permeability generated through Turning Bands algorithm Using ParFlow, we model surface runoff and infiltration after a rain storm Particle Tracking methods will be used to determine travel times of rain particles on surface and in subsurface Permeability Pattern Stochastic Heterogeneous Hillslope Modeling Initial Water Table location Goals Determine impacts of heterogeneous permeability on dispersion Compare baseflow cases to non-baseflow cases Generate accurate hydrograph separation Upscale processes and parameters to larger scale model Different saturation patterns based on heterogeneity Sponsor: NSF Hydrologic Sciences

  5. Wind Energy Forecasting PF.WRF is used to forecast wind availability and potential power output based on land – atmosphere feedbacks and regional-scale weather forecasts • very high resolution, nested simulations • studying ramping events Sponsor: Department of Energy

  6. Central Oklahoma domain used for climate change studies Regional Domain (128 x 88 km), fully-coupled simulations will be used to test a number of water management scenarios. Run on Campus Supercomputer (Ra)

  7. Water Management and Local Climate Feedbacks Impacts of groundwater pumping and irrigation on watershed processes and feedbacks on surface energy balance, land-atmosphere interactions, and local and regional climate Natural P ET Pumping for Non-Local Consumptive Use P ET Qgw Q Q Qgw Pumping for Local Irrigation Irrigation with Imported Water P P ET ET Q Q Qirrig Qirrig Sponsor: IDB

  8. California case studies San Joaquin • Mountain Recharge • Deep alluvial groundwater systems • Multiple watersheds and scales Owens • Microcosm for many water related issues • Pristine to urban gradient • Bellwether for climate impacts

  9. Central Valley Simulations Fully-integrated model: Deep Groundwater Surface Water Land Surface processes Very large (270 x 220 km), fully-coupled simulations of the San Joaquin Watershed. Sponsor: Department of Energy

  10. Drinking Water Risk Assessment of CO2 leakage Large, integrated project to determine drinking water risk from CO2 leakage (and byproducts) into groundwater. End-to-end approach, including experiments and model simulations to indentify high and low risk leakage scenarios Stochastic, highly resolved approach, combining physical and geochemical heterogeneity via Lagrangian approach Sponsors: US EPA and Department of Energy

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