---
res:
  bibo_abstract:
  - Flooding impacts are on the rise globally, and concentrated in urban areas. Currently,
    there are no operational systems to forecast flooding at spatial resolutions that
    can facilitate emergency preparedness and response actions mitigating flood impacts.
    We present a framework for real-time flood modeling and uncertainty quantification
    that combines the physics of fluid motion with advances in probabilistic methods.
    The framework overcomes the prohibitive computational demands of high-fidelity
    modeling in real-time by using a probabilistic learning method relying on surrogate
    models that are trained prior to a flood event. This shifts the overwhelming burden
    of computation to the trivial problem of data storage, and enables forecasting
    of both flood hazard and its uncertainty at scales that are vital for time-critical
    decision-making before and during extreme events. The framework has the potential
    to improve flood prediction and analysis and can be extended to other hazard assessments
    requiring intense high-fidelity computations in real-time.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Valeriy Y.
      foaf_name: Ivanov, Valeriy Y.
      foaf_surname: Ivanov
  - foaf_Person:
      foaf_givenName: Donghui
      foaf_name: Xu, Donghui
      foaf_surname: Xu
  - foaf_Person:
      foaf_givenName: M. Chase
      foaf_name: Dwelle, M. Chase
      foaf_surname: Dwelle
  - foaf_Person:
      foaf_givenName: Khachik
      foaf_name: Sargsyan, Khachik
      foaf_surname: Sargsyan
  - foaf_Person:
      foaf_givenName: Daniel B.
      foaf_name: Wright, Daniel B.
      foaf_surname: Wright
  - foaf_Person:
      foaf_givenName: Nikolaos
      foaf_name: Katopodes, Nikolaos
      foaf_surname: Katopodes
  - foaf_Person:
      foaf_givenName: Jongho
      foaf_name: Kim, Jongho
      foaf_surname: Kim
  - foaf_Person:
      foaf_givenName: Vinh Ngoc
      foaf_name: Tran, Vinh Ngoc
      foaf_surname: Tran
  - foaf_Person:
      foaf_givenName: April
      foaf_name: Warnock, April
      foaf_surname: Warnock
  - foaf_Person:
      foaf_givenName: Simone
      foaf_name: Fatichi, Simone
      foaf_surname: Fatichi
      foaf_workInfoHomepage: http://www.librecat.org/personId=cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6
  - foaf_Person:
      foaf_givenName: Paolo
      foaf_name: Burlando, Paolo
      foaf_surname: Burlando
  - foaf_Person:
      foaf_givenName: Enrica
      foaf_name: Caporali, Enrica
      foaf_surname: Caporali
  - foaf_Person:
      foaf_givenName: Pedro
      foaf_name: Restrepo, Pedro
      foaf_surname: Restrepo
  - foaf_Person:
      foaf_givenName: Brett F.
      foaf_name: Sanders, Brett F.
      foaf_surname: Sanders
  - foaf_Person:
      foaf_givenName: Molly M.
      foaf_name: Chaney, Molly M.
      foaf_surname: Chaney
  - foaf_Person:
      foaf_givenName: Ana M. B.
      foaf_name: Nunes, Ana M. B.
      foaf_surname: Nunes
  - foaf_Person:
      foaf_givenName: Fernando
      foaf_name: Nardi, Fernando
      foaf_surname: Nardi
  - foaf_Person:
      foaf_givenName: Enrique R.
      foaf_name: Vivoni, Enrique R.
      foaf_surname: Vivoni
  - foaf_Person:
      foaf_givenName: Erkan
      foaf_name: Istanbulluoglu, Erkan
      foaf_surname: Istanbulluoglu
  - foaf_Person:
      foaf_givenName: Gautam
      foaf_name: Bisht, Gautam
      foaf_surname: Bisht
  - foaf_Person:
      foaf_givenName: Rafael L.
      foaf_name: Bras, Rafael L.
      foaf_surname: Bras
  bibo_doi: 10.1029/2021gl093585
  bibo_issue: '20'
  bibo_volume: 48
  dct_date: 2021^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0094-8276
  - http://id.crossref.org/issn/1944-8007
  dct_language: eng
  dct_publisher: American Geophysical Union@
  dct_title: Breaking down the computational barriers to real‐time urban flood forecasting@
...