Hands-on Training Materials:

The Community WRF-Hydro Modeling System
October 2019 Training Workshop Materials

Presentations: 

WRF-Hydro System Overview
WRF-Hydro System Conceptualization
WRF-Hydro Physics Components Overview
Noah-MP Column Land Surface Model Overview
Channel Routing and Lakes/Reservoirs in WRF-Hydro
Defining the Model Domain & Initial Conditions
WRF-Hydro GIS Pre-processing Tool Overview
WRF-Hydro Forcing Data Pre-processing
Overview of WRF-Hydro/NWM Calibration
WRF-Hydro Coupling with the Weather Research and Forecasting model (WRF)
WRF-Hydro Implementation & Best Practices

Click here to Access the WRF-Hydro GIS Pre-processing Tool version 5 Tutorial Demo.

This demo walks through the process of creating WRF-Hydro hydrologic routing input for the Croton New York example test case.

Requirements for Online Utilities and Lessons:

Docker (Community) = > v.17.12
Web browser (Google Chrome recommended) for accessing the Jupyter notebook. Note: Each machine is different. You will need to alternate your Docker settings such as CPUs, Memory, and Disk Space allocations according to your machine to optimize runtime. If you find a bug or other technical issue please log it on the github issues site

Click Here to Access WRF-Hydro Standalone Test Case Online Lessons  
Lessons walk you through model compiliation and various model simulations with different configurations.
Click Here to download a .zip file of the completed lessons for reference

Click Here to Access the WPS Geogrid and WRFinput Preprocessing Training Utility for CONUS

Click here to Access the Coupled WRF|WRF-Hydro Test case Lesson

Upcoming Training Workshops & Short Courses:

 AMS Short Course - Introduction to the Community WRF-Hydro Modeling System: Interactive Hands-on Tutorial

11 January 2020 Boston, MA USA

The AMS Short Course, an Introduction to the Community WRF-Hydro Modeling System: Interactive Hands-on Tutorial will be held on 11 January 2020 preceding the 100th AMS Annual Meeting in Boston, Massachusetts. Preliminary programs, registration, hotel, and general information will be posted on the AMS Web site (www.ametsoc.org).

Registration is now open. See the AMS short course website for information and to register.

Fill out this form if you have registered.

WRF-Hydro®, an open-source community model, is used for a range of projects, including flash flood prediction, regional hydroclimate impacts assessment, seasonal forecasting of water resources, and land-atmosphere coupling studies. It was designed to link multi-scale process models of the atmosphere and terrestrial hydrology to provide:

• An extensible multi-scale & multi-physics land-atmosphere modeling capability for conservative, coupled and uncoupled assimilation & prediction of major water cycle components such as precipitation, soil moisture, snowpack, groundwater, streamflow, and inundation

• Accurate and reliable streamflow prediction across scales (from 0-order headwater catchments to continental river basins and from minutes to seasons)

• A research modeling testbed for evaluating and improving physical process and coupling representations

In this one day tutorial, we will provide an introduction to the capabilities within WRF-Hydro and provide participants with the basic building blocks to start their research with it. Participants will gain experience with hands-on model configuration and execution and run experimental model simulations and comparisons with a prepared example test case. Participants will also be provided with information on additional resources that can be used to further their familiarity with WRF-Hydro and build on the basics learned during this tutorial.

Instructors include subject matter experts and lead developers of WRF-Hydro and the National Water Model from the National Center for Atmospheric Research, David Gochis, and Aubrey Dugger.

Each participant is required to come with their own laptop, capable of accessing wireless internet with prerequisite software installed to participate in the hands-on exercises. 
-Docker (community edition) at least version 18.09.2

• (docker settings: CPUs - 2 (at a bare minimum)

• Memory- 8 GB (recommended)

• Swap-1024 MB (recommended)

• Disk image max size 60 GB (recommended)

-Google Chrome web browser

For more information please contact Molly McAllister (mollymca@ucar.edu).