iRIC MI

Transcript

1. iRIC V4 Release
   June 28, 2023
   iRIC: International River
   Interface Cooperative
   International River Interface Cooperative, since 2010
   “New Developments for iRIC-MI Model
   Coupling”
   Jonathan Nelson
   US Geological Survey- Ret’d
   Now at:
   River Mechanics, Inc
   Arvada, Colorado, USA
   Keisuke Inoue
   Mizuho Instrumentation
   and Research
   Tokyo, Japan
   Kazutake Asahi
   RiverLink Corporation
   Tokyo, Japan
   

   View Slide

2. Developments
   in the iRIC
   System
   • Outline of Presentation
   • Coupling iRIC solvers within
   the iRIC-MI system:
   Motivation and structure
   • Some simple examples for
   real world problems
   • Next major iRIC release, but
   alpha versions available now
   for expert users
   

   View Slide

3. iRIC-MI = iRIC Model Interface
   • Platform to run solvers connected together
   • Similar to CommonMP and OpenMI but with several
   advantages:
   • Easy to use: iRIC GUI can be used to handle data
   • Development of model is easy
   • Runs on many platforms
   

   View Slide

4. Run solvers connected together
   We can connect “Output” socket of a model to “Input” socket of
   another model, and run models exchanging data at every time step
   Ex. Nays2dFlood
   Input socket = Rainfall, discharge from upstream
   Output socket = discharge downstream
   

   View Slide

5. Run solvers connected together
   • Input / output data is stored in CGNS files
   • MPI is used for exchanging data between solvers
   • iRIC-MI server controls synchronization and data exchange
   iRIClib iRIClib iRIClib
   Solver1 Solver2 Solver3
   CGNS
   file
   CGNS
   file
   CGNS
   file
   With iRIC:
   MPI = Message Passing Interface
   de-facto standard technology for parallel computing, fast and simple
   

   View Slide

6. Run solvers connected together
   • Input / output data is stored in CGNS files
   • MPI is used for exchanging data between solvers
   • iRIC-MI server controls synchronization and data exchange
   iRIC-MI library iRIC-MI library iRIC-MI library
   Solver1 Solver2 Solver3
   iRIC-MI Server
   CGNS
   file
   CGNS
   file
   CGNS
   file
   With iRIC-MI:
   MPI = Message Passing Interface
   de-facto standard technology for parallel computing, fast and simple
   

   View Slide

7. Easy to use: iRIC GUI can be used to handle data
   We can run models in the following steps:
   1. Prepare input data for each solvers
   iRIC GUI can be used for preparing calculation condition and grid
   2. Run each solvers separately
   3. Make connections between solvers
   4. Run solvers connected
   5. Visualize result
   iRIC GUI can be used for 2D, 3D visualization and drawing charts
   

   View Slide

8. Development of models is easy
   • Language: FORTRAN, C/C++, Python
   • Easy to define “input” and “output” sockets, using definition.xml
   • Use iRIC-MI library for implementing I/O
   No wrapper needed for object-oriented programming languages
   Easy to migrate solvers from iRIC to iRIC-MI
   

   View Slide

9. Runs on many platforms
   • PCs with Windows / Mac OS X / Linux
   • Virtual machines in Cloud of Amazon, Google, or MS.
   • Super computers
    Can be used to solve real problems
   

   View Slide

10. The components of iRIC-MI:
    • iRIC-MI library = Extended version of iRIClib with:
    • Function for “Input sockets”
    • Function for “Output sockets”
    • Function to synchronize mode
    • iRIC GUI
    • iRIC-MI server:
    • The program that works as “conductor”.
    • Watches the time of each model, and make a model wait until others catch up
    • Emit commands to models in the platform to exchange data
    • iRIC-MI GUI: Model connecting interface
    • Connect “Input sockets” and “Output sockets” of components
    • Saves information about connection to “iricmi-project.xml”
    

    View Slide

11. Short demonstration of using iRIC-MI
    

    View Slide

12. iRIC-MI Characteristics
    • End user ready (no programming required, this is not
    just another package of callable routines for
    programmers)
    • Interface support for setting up all coupled models
    (each model has its own interface, but they all look
    consistent- learn one, not 20)
    • No limit on type or number of coupled models running
    concurrently
    

    View Slide

13. iRIC-MI Characteristics (cont)
    • No limit on multiple-core usage by individual models or
    overall
    • XML for defining model inputs/outputs and coupling
    scheme (invisible to user, but makes new model inclusion
    straightforward)
    • Any coordinate system: structured (including non-
    orthogonal, multigrid, etc) and unstructured (holes, local
    resolution, any element shape)
    • Coupling for global values, boundary conditions, and/or
    individual grid nodes, faces, or cells
    

    View Slide

14. Developments
    in the iRIC
    System
    • Outline of Presentation
    • Coupling iRIC solvers within
    the iRIC-MI system:
    Motivation and structure
    • Some simple examples for
    real world problems
    • Next major iRIC release, but
    alpha versions available now
    for expert users
    

    View Slide

15. Example 1: Simple 1-d to 2-d coupling for channel model: BCs for short-reach 2-d model come from long-reach 1-D model
    With this coupling, we can run 1-d models
    Over very long reaches and paste in 2-d
    models in regions of particular interest, or
    to be run only when certain conditions are
    met. In this case, the discharge is from
    data, but could be from discharge forecasts
    or from a precip runoff model driven by
    precip forecasts- see below.
    2d model
    location
    ↓
    2d model
    1d model
    

    View Slide

16. Example 2: Rainfall-runoff model coupled to 2-d quasi-steady model: Discharge for the 2d model comes from the RRI simulation (at just 1 point)
    With this coupling, we can drive flow
    forecasts with spatial detail using only
    rainfall forecasts or measurements.
    Because the model is quasisteady, it can
    run at huge time steps (10 minutes in this
    case) the approach is computationally very
    fast. I assume a baseflow of 200m3/s, but
    this will soon be supplied from a coupled
    groundwater model with time variation.
    

    View Slide

17. Example 3: Rainfall-runoff model coupled to 2-d unsteady model: Discharge for the 2d model comes from the RRI simulation (at just 1 point)
    With this coupling, we can drive flow
    forecasts with spatial detail using only
    rainfall forecasts or measurements.
    Because the model is unsteady, it runs at
    small time steps (1s in this case) the
    approach is computationally slow, but
    includes the effect of the discharge wave
    and predicts local unsteady effects like
    vortex shedding at separation points.
    

    View Slide

18. Example 3: Rainfall-runoff model coupled to 2-d unsteady model: Discharge for the 2d model comes from the RRI simulation (at 10 points)
    Here’s a more realistic case where we couple the rainfall runoff model to a 2-d fully unsteady urban inundation
    model at 10 upstream points. In the coupling system, this is still only boundary condition coupling, although the
    inundation model also handles in-domain rainfall. In this case, our colleague Kazutake Asahi digitized the locus of
    maximum inundation for this three-day flood (blue dashes) which can be compared to the prediction. Not bad,
    considering no calibration.
    

    View Slide

19. Example 4 (slide 2): Rainfall-runoff model coupled to 2-d unsteady model: Discharge for the 2d model comes from the RRI simulation (at 10 points)
    A closer view of the inundation area digitized from aerial photos and predicted by the coupled
    modeling approach based on rainfall alone, a precip-runoff model, and a 2-d inundation model.
    

    View Slide

20. Future Visions
    • Making solvers more reusable and customizable
    • New applications:
    • Environmental evaluation
    • Coupled models of rain-fall, river flows, ground water
    • Geochemistry
    • Machine learning
    • Easier for new developers to join the community
    

    View Slide

21. Developments
    in the iRIC
    System
    • Outline of Presentation
    • Coupling iRIC solvers within
    the iRIC-MI system:
    Motivation and structure
    • Some simple examples for
    real world problems
    • Next major iRIC release, but
    alpha versions available now
    for expert users
    

    View Slide

22. 22
    Questions?
    www.i-ric.org
    

    View Slide