@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" }