@ARTICLE{Sharma2022-ym,
  title     = "Neglecting model parametric uncertainty can drastically
               underestimate flood risks",
  author    = "Sharma, Sanjib and Lee, Benjamin Seiyon and Hosseini-Shakib,
               Iman and Haran, Murali and Keller, Klaus",
  journal   = "Earth's future",
  publisher = "American Geophysical Union (AGU)",
  month     =  dec,
  year      =  2022,
  url       = "https://onlinelibrary.wiley.com/doi/10.1029/2022EF003050",
  copyright = "http://creativecommons.org/licenses/by/4.0/",
  language  = "en",
  issn      = "2328-4277",
  doi       = "10.1029/2022ef003050"
}

% The entry below contains non-ASCII chars that could not be converted
% to a LaTeX equivalent.
@ARTICLE{Pollack2022-ml,
  title     = "Aggregation bias and its drivers in large‐scale flood loss
               estimation: A Massachusetts case study",
  author    = "Pollack, Adam B and Sue Wing, Ian and Nolte, Christoph",
  journal   = "Journal of flood risk management",
  publisher = "Wiley",
  month     =  aug,
  year      =  2022,
  url       = "https://onlinelibrary.wiley.com/doi/10.1111/jfr3.12851",
  copyright = "http://creativecommons.org/licenses/by-nc/4.0/",
  language  = "en",
  issn      = "1753-318X",
  doi       = "10.1111/jfr3.12851"
}

@ARTICLE{Roth2022-yu,
  title     = "Flood hazard model calibration using multiresolution model
               output",
  author    = "Roth, Samantha M and Lee, Ben Seiyon and Sharma, Sanjib and
               Hosseini-Shakib, Iman and Keller, Klaus and Haran, Murali",
  journal   = "Environmetrics",
  publisher = "John Wiley \& Sons, Ltd",
  volume    = "n/a",
  number    = "n/a",
  pages     = "e2769",
  month     =  oct,
  year      =  2022,
  url       = "https://doi.org/10.1002/env.2769",
  keywords  = "computer model; emulation--calibration; Gaussian process; Markov
               chain Monte Carlo; multiresolution; uncertainty quantification",
  issn      = "1180-4009",
  doi       = "10.1002/env.2769"
}

@ARTICLE{Grogan2022-vv,
  title     = "Water balance model ({WBM}) v.1.0.0: a scalable gridded global
               hydrologic model with water-tracking functionality",
  author    = "Grogan, Danielle S and Zuidema, Shan and Prusevich, Alex and
               Wollheim, Wilfred M and Glidden, Stanley and Lammers, Richard B",
  journal   = "Geoscientific Model Development",
  publisher = "Copernicus GmbH",
  volume    =  15,
  number    =  19,
  pages     = "7287--7323",
  month     =  oct,
  year      =  2022,
  url       = "https://doi.org/10.5194/gmd-15-7287-2022",
  language  = "en",
  issn      = "1991-959X",
  doi       = "10.5194/gmd-15-7287-2022"
}

@INPROCEEDINGS{Woo2022-at,
  title     = "{C3F}: Collaborative Container-based Model Coupling Framework",
  booktitle = "Practice and Experience in Advanced Research Computing",
  author    = "Woo, Jungha and Zhao, Lan and Grogan, Danielle S and Haqiqi,
               Iman and Lammers, Richard and Song, Carol X",
  publisher = "Association for Computing Machinery",
  number    = "Article 7",
  pages     = "1--8",
  series    = "PEARC '22",
  month     =  jul,
  year      =  2022,
  url       = "https://doi.org/10.1145/3491418.3530298",
  address   = "New York, NY, USA",
  keywords  = "WBM, Model coupling workflow, Food-Energy-Water (FEW),
               containerization, SIMPLE-G",
  location  = "Boston, MA, USA",
  isbn      = "9781450391610",
  doi       = "10.1145/3491418.3530298"
}