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Flood Forecasting Initiative Guy Shalev

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  • Flood Forecasting InitiativeGuy Shalev

  • Flood Forecasting Initiative

    Flooding impact

    Flood Forecasting Initiative

  • Flood Forecasting Initiative

    The Google Flood Forecasting Initiative

    Flood Forecasting Initiative

    Goal: Scalable high-accuracy high-resolution flood forecasts and warnings globally

  • Flood Forecasting Initiative

    The Google Flood Forecasting Initiative

    Why Google? Why not (just) Google?

    Public-facing interfacesComputational resourcesAccess to global data(Elevation, user-generated data, etc.)ScalabilityMachine learning expertise

    Governmental mandateHydrologic expertiseOperational expertiseRelationship with organizational consumers

  • Flood Forecasting Initiative

    Hydraulic model - Goal

  • Flood Forecasting Initiative

    Satellite imagery(Multiple sources)

    Government

    Google DEM generation

    Gauge measurements& forecasts

    Hydraulic model - Overview

    Google Hydraulic Model(currently focusing on hydraulic

    modeling of riverine floods)

    Inundation Map

  • Flood Forecasting Initiative

    Challenge: Elevation Maps

    SRTM (NASA) Goal

  • Flood Forecasting Initiative

    Challenge: Elevation Maps

    Goal

    Bihar 1992 - 2016 Bryk et al.

    Flood Forecasting Initiative

  • Flood Forecasting Initiative

    Producing Elevation Maps

  • Flood Forecasting Initiative

    Also allows annual updates

    Achieve 1 meter resolution & vertical accuracy

    Multi-Asset Spatial Alignment

    ?

    ?

    ?

    Where are the cameras pointing?What is the surface geometry?How does light reflect?

  • Flood Forecasting Initiative

    Elevation Map Example

    Flood Forecasting Initiative

    Google-generated Elevation Map

    SRTM

  • Flood Forecasting Initiative

    Surface to Terrain Generation

    Flood Forecasting Initiative

    Digital Terrain ModelDigital Surface Model

  • Flood Forecasting Initiative

    Embankments and river bed

    Computational costs rise with higher resolution

    Challenges

  • Flood Forecasting Initiative

    Components are divided to physical and conceptual

    They continuously interact with each other over time

    Hydrologic ModelClassic Approach

  • Flood Forecasting Initiative

    A Regional Hydrologic Model Using ML

    Why Regional + ML? Main Challenges

    Complex, non-linear processAbundance of dataScalabilityUngauged basins

    Using the right metricsData quality disparityInterpretability and uncertainty

  • Flood Forecasting Initiative

    Encouraging Results

    Flood Forecasting Initiative

    Kratzert et al. – Work in progress

  • Flood Forecasting Initiative

    Informing the Public

    Flood Forecasting Initiative

  • Flood Forecasting Initiative

    Google Public Alerts

    Public Alerts have already provided 100,000s of alerts to over 2 billion people

    Help local and public authorities communicate emergency messages

    Search Maps AndroidIn Progress

  • Flood Forecasting Initiative

    Informing Governments

    Flood Forecasting Initiative

  • Flood Forecasting Initiative

    Funded by Google.org

    Provide information to local NGOs to distribute to the community

    Outsourcing Alerts

    All our alerts are publicly available in human- and computer-readable formats

  • Flood Forecasting Initiative

    Patna Pilot

    Flood Forecasting Initiative

  • Flood Forecasting Initiative

    Next Steps

    Increase lead time

    Improve communication infrastructure

    Support new drivers of floods

    Ganges & Brahmaputra India Globally

    Imp

    rove

    fore

    cast

    s

    Scale Up

  • Flood Forecasting Initiative

    Thank You!

    Flood Forecasting Initiative