Perfilado de sección

  • This turial, prepared by Dr. Daiki Kakinuma, introduces the fundamental concept and use of the Rainfall-Runoff-Inundation model, which is the central technical tool during the training in Japan. The hydrologists are expected to become familiar with the model use prior to the in-person training. 

    The tutorial provides 1) Introduction slides (Tutorial_Introduction to Rainfall-Runoff-Inundation model.pdf), 2) turorial dataset for RRI model run (TutorialData.zip), and 3) turorial dataset for the implementation of satellite-based precipitation data to the RRI modelling (Turial_GSMaP_RRI.zip).

    The RRI model can be downloaded at the ICHARM's website: https://www.pwri.go.jp/icharm/research/rri/index.html

    Please note that the RRI model is recognized in the WMO inventory as one of the interoperable models for NMHSs to select appropriate models and platforms for their needs. 

    The RRI page in the WMO inventory: https://www.floodmanagement.info/find-2/end-to-end-early-warning-systems-for-flood-forecasting-e2e-ews-ff/inventory/hydrologic/rri/


    • Introduction to RRI Model Archivo PDF
      Los estudiantes deben
      Ver
      Introduction and tutorial slides. 
    • Tutorial dataset Archivo ZIP
      Los estudiantes deben
      Ver
      RRI modelling tutorial dataset.
      606.3 KB
    • Application of GSMaP to RRI Modelling Archivo ZIP
      Los estudiantes deben
      Ver

      This tutorial introduces a practical workflow for obtaining satellite-based rainfall data for hydrological modelling using Google Earth Engine and Google Colab. It provides a ready-to-use Python notebook that retrieves hourly JAXA GSMaP Gauge v8 precipitation data, clips the data to the target basin based on the RRI elevation input file, and converts the rainfall data into a format that can be used by the RRI model. 

      The tutorial also describes the basic steps for registering and authenticating Google Earth Engine, configuring the simulation period, uploading the required RRI files, running the script, and checking and downloading the generated outputs. The workflow is designed to run entirely in Google Colab without requiring a local GIS or Python environment.

      1.1 MB