WRF-Hydro Modeling System

Events & Announcements

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Events & Announcements

Registration in Now Open for AMS Short Course: Introduction to the Community WRF-Hydro Modeling System: Interactive Hands-on Tutorial

Visit the AMS short course website for information, to apply and to register Introducing the Community WRF-Hydro Modeling System an Interactive Hands-on Tutorial 

The course will be held on Saturday 11 January 2020, prior to the AMS Annual Meeting in Boston, MA. Space is limited!
You do not need to register for the entire meeting you can register for the short course separately.
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. See the description below for the requirements.

Course Description:

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, snow pack, ground water, 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 half-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 bare minimum)
      • Memory- 8 GB (recommended)
      • Swap-1024 MB (recommended)
      • Disk image max size 60 GB (recommended)

-Google Chrome web browser


WRF-Hydro is part of the OTREC field Campaign! OTREC Logo

What hapens to all the precipitation after it rains?  And how can our model simulations be imporved by adding observational precipitation data?  We will be teaching a WRF-Hydro modeling system course in conjunction with the OTREC field campaign on the University of Costa Rica campus in San Jose 21-23 August. 

The OTREC field campaign is studying the deep convection in the ITCZ over Costa Rica. The NSF-sponsored Organization of Tropical East Pacific Convection (OTREC) field campaign began on  August 5th and is in full swing until September 30th, 2019. There are mulitple components to this campaign to gather measurements from both air and land.  Our involvement includes Dave Gochis providing a portable radiosonde unit expertise and 10 surface meteorological stations as well as 3 instructors to teach a WRF-Hydro Course to participants from multiple Central American countries from both academic and government entities. 

Read more about the field campaign at the following links: OTREC Press Release by University of Costa RicaOTREC BLOGEOL OTREC.

WRF-Hydro Training Materials for Costa Rica

Upcoming WRF-Hydro Training Workshops & Short Courses:

Short Course: A Deep Dive into the Configuration and Features of the National Water Model12th International Precipitation ConferenceIrvine, CA USA18 June 2019
The Community WRF-Hydro Modeling System Training Workshop - Costa RicaIn partnership with the OTREC Field Campaign & University of San JoseSan Jose, Costa Rica21-23 August 2019
The Community WRF-Hydro Modeling System Training Workshop In partnership with CUAHSIBoulder, CO USA15 - 18 October 2019
AMS Short Course:
Introduction to the Community WRF-Hydro Modeling System: Interactive Hands-on Tutorial
In partnership with AMS Annual MeetingBoston, MA USA11 January 2020



AGU Session | Blue and Green Water in the Mountains - submit abstracts by July 31, 2019

Session Title: Blue and Green Water in the Mountains: Water Supply, Extreme Events, and Ecological Responses in Snow and Glacier-fed Catchments

Session Description:

Mountain snow and ice serve as important hydrologic reservoirs, storing cold season precipitation for melt, runoff, and plants during the growing season. With warming winters, changes in precipitation phase and melt energy are shifting soil water recharge and meltwater hydrographs, with consequences for mountain ecology, water management, and rain-on-snow flood risk. Important questions for mountain regions include: (1) What are key interactions among biota, climate, snow/ice, and water? (2) How do these processes co-evolve or decouple in response to environmental change? and (3) What can we learn from limited observation about how mountain systems respond to long-term shifts? Complex interacting processes and fine-scale climatic variability present significant challenges to answering these questions. We invite contributions addressing linkages between environmental change and cryospheric, hydrologic, and ecological processes in mountain systems.

Keith Musselman (CU), Lara Kueppers (LBNL), Jia Hu (U. Arizona), and Kendra Kaiser (Boise State)

Keith Musselman

AGU Session | H037 - Continental Scale Modeling: Process Heterogeneity from Summit to Sea

The NWS Office of Water Prediction is leading development of the National Water Model (NWM). Ultimately, the NWM will include capabilities for forecasting the full suite of water budget variables from local to continental scales, providing insight into inland and coastal flooding, droughts, waterborne navigation, emergency response, water quality and water supply. Continental-scale hydrologic prediction represents a new frontier at the nexus of coupled atmospheric, hydrologic and coastal models, with important connections to subsurface processes, remote sensing, data assimilation, anthropogenic effects, big data, decision support, calibration and parameter estimation, machine learning, model testing and evaluation.  The role of and adequate representations to simulate process heterogeneity over a range of scales is of particular interest.  The development of the NWM provides natural collaborative opportunities and this session seeks presentations or posters on any of these topics, with a particular focus on facilitation of collaborations and enhancing community involvement.

Primary Convener: 
Trey Flowers NOAA/NWS Office of Water Prediction, National Water Center
Patrick Burke NOAA/NOS/CO-OPS
Jerad Bales Consortium of Universities for the Advancement of Hydrological Science
Meredith Reitz U.S. Geological Survey


AMS Sesson Announcement

Session Tropical cyclone rainfall: physics, impacts, and preparedness



Although rainfall accounts for 25% of tropical cyclone-related fatalities in the United States, the threat of rainfall is somewhat underestimated in comparison to other hazards. Furthermore, rainfall is an interdisciplinary hazard, from the remaining unknowns in the underlying physics, to the effect on downstream hazards, and the difficulties associated with decision making. In terms of physical processes, rainfall is a complex mixture of drop creation, growth, and seeding by frozen hydrometeors, where the kinematic and thermodynamic environment determine the relative contributions of warm rain and ice phase microphysical processes and the ultimate particle trajectories. In addition, external influences such as vertical wind shear and topography can modify the azimuthal distribution of rainfall intensity and microphysical processes. After the rain reaches the ground, flooding, landslides, and river runoff are dangerous hazards that cause both fatalities and economic losses. Other indirect consequences of heavy rainfall, such as disruption of local transit networks, can negatively affect response and recovery efforts. Finally, forecast uncertainty due to model error, insufficient model resolution, and microphysical deficiencies make the communication of the rainfall threat challenging.

The proposed session would solicit abstracts on the aforementioned topics, with a specific interest in recent tropical cyclones (e.g., Hurricanes Harvey 2017, Florence 2018, Maria 2017, Lane 2018, Typhoon Mangkhut 2018, Tropical Cyclone Idai 2019). Ideally, the session would solicit abstracts on a variety of topics, including but not limited to: observational and modeling research, emergency management and decision-making studies, and forecasting successes and failures. We hope to take advantage of the diverse attendees to have a conversation about the complicated and interdisciplinary nature of tropical cyclone rainfall understanding, prediction, and mitigation.

Submission Deadline: Thursday, 1 August 2019

Job Announcements

Opening for a postdoctoral research position at Duke University working with WRF-Hydro & WRF LES
The Department of Civil and Environmental Engineering at Duke University has an opening for a postdoctoral research associate in the area of land-atmosphere interactions to work with Professors Nathaniel Chaney and Gabriel Katul. The researcher will participate in a multi-institution project that aims to improve the representation of land surface heterogeneity in a suite of US climate models. The position will involve running LES experiments by coupling WRF LES and WRF-Hydro. These simulations will then be leveraged to improve modeling of the feedback of heterogeneous land and atmosphere in climate models.

Candidates for this position must have a Ph.D. in the physical sciences or engineering. Ideal candidates will have a strong background in land surface modeling and/or large eddy simulations. Priority will be given to candidates with ample programming experience with a focus on Python and Fortran; prior experience with High Performance Computing will also be relevant. The position is available immediately for one year with renewal for another year contingent upon satisfactory performance and funding. Inquiries about the position should be made to nathaniel.chaney@duke.edu. Applicants should submit a cover letter, a curriculum vitae including a publication list, and contact information for three references to https://academicjobsonline.org/ajo/jobs/13879