1 Under supervision of: David TarbotonPresentation of final term project, CEE 6440 Implement GIS as a tool to prepare inputs data of WRF-Hydro to run and compare with NWM outputs for a small watershed in the Great Salt Lake Basins Irene Garousi-Nejad Ph.D. student, Civil and Environmental Engineering, Utah State University Under supervision of: David Tarboton Professor, Civil and Environmental Engineering, Utah State University Fall 2016
2 Introduction and objectivePresentation of final term project, CEE 6440, 2016 Introduction and objective Streamflow forecast has been an imperative issue and has remained an unsolved scientific problem among hydrologists. The National Water Model (NWM) is a hydrologic model that simulates observed and forecast streamflow over the entire continental United States (CONUS). The core of NWM is WRF-Hydro which uses the Noah-MP land surface model. The objective is to evaluate streamflow forecast in the Logan River basin, using WRF-Hydro, and compare the results with the NWM outputs.
3 Presentation of final term project, CEE 6440, 2016Case Study The Logan River watershed is located in the heart of Bear River in the western United States. The Digital Elevation Model (DEM) of the Logan River watershed from USGS (Tarboton, 2016). The resolution of this DEM is 30*30 meters and the projection coordinate system is North America Lambert Conformal Conic since it is well suited for mid-latitudes.
4 WRF-Hydro 2-way coupling Land Surface ModelPresentation of final term project, CEE 6440, 2016 WRF-Hydro 2-way coupling Land Surface Model Terrain Routing model Model Output: Evapotranspiration Soil moisture Snowpack Snow melt Runoff Radiative exchange Energy fluxes Output: Stream inflow, Surface water depth, Groundwater depth, Soil moisture Output: Streamflow River stage Flow velocity Reservoir storage and discharge 1-way or 2-way coupling Channel and Reservoir routing models
5 Presentation of final term project, CEE 6440, 2016WRF-Hydro Sub-grid aggregation/disaggregation is used to represent overland and subsurface flow processes on grid scales much finer than the native land surface model grid.
6 The inputs of WRF-Hydro can be categorized in two main groups:Presentation of final term project, CEE 6440, 2016 WRF-Hydro The inputs of WRF-Hydro can be categorized in two main groups: Land surface and routing data Meteorological Forcing data Using WRF-Hydro pre-processing utilities. GEOGRID_STANDALONE.pyt Developed by Kevin Sampson, GISP Associate Scientist, NCAR Using NCAR command language utilities. Download NLDAS2 data from NASA and then re-grid NLDAS2 data to WRF-Hydro domain Developed by David Gochis, Scientist III, NCAR
7 GEOGRID_STANDALONE.pyt Input Output Topography.nc Str_order.ncPresentation of final term project, CEE 6440, 2016 GEOGRID_STANDALONE.pyt Input Output Topography.nc Str_order.nc retdeprtfac.nc ovroughrtfac.nc longitude.nc latitude.nc landuse.nc lAKEGRID.nc gw_basns.nc frxst_pts.nc flowdirection.nc flowacc.nc Other parameters CHANNELGRID.nc
8 Topography DEM Raster Geogrid NetCDF High-resolution NetCDFPresentation of final term project, CEE 6440, 2016 Topography DEM Raster Number of columns: 1179 Number of rows: 1696 Cell Size: 30 m Geogrid NetCDF Number of columns: 59 Number of rows: 59 Cell Size: 1000 m High-resolution NetCDF Number of columns: 590 Number of rows: 590 Cell Size: 100 m
9 Presentation of final term project, CEE 6440, 2016Channel Grid DEM
10 Work left: Run WRF-HydroPresentation of final term project, CEE 6440, 2016 Work left: Run WRF-Hydro The simulation period is for the month of August 2016. The simulation time step is hourly. The case study, including all variables and parameters, is submitted on HPC cluster. The streamflow output of WRF-Hydro will be compared to those from NWM.
11 Presentation of final term project, CEE 6440, 2016References Tarboton, D. (2016). Logan Digital Elevation Model, HydroShare, User’s guide for the advanced research WRF modeling system, version 3, Sampson, K. and Gochis, D. (2015). WRF Hydro GIS Pre-Processing Tools, Version 2.2. Thank you
12 Presentation of final term project, CEE 6440, 2016GEOGRID GEOGRID is the land surface model pre-processor component of WPS It acquires and interpolates land surface terrain, soils, and vegetation data from standard and readily available data products to the WRF-Hydro grid modelling.