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Quantification of model uncertainty in environmental modeling

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Acknowledgements

The guest editors thank the authors and the reviewers for their thoughtful contributions to this special issue of SERRA. We extend special thanks to the Editor-in-Chief, George Christakos, for his support and help in preparing this special issue for publication. The lead guest editor’s working on this issue was supported in part by NSF-EAR grant 0911074, DOE grant DE-SC0002687, and ORAU/ORNL High Performance Computing Program.

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Authors and Affiliations

  1. Department of Scientific Computing, Florida State University, Tallahassee, FL, 32306, USA

    Ming Ye

  2. Pacific Northwest National Laboratory, Richland, WA, 99352, USA

    Philip D. Meyer

  3. Illinois State Water Survey, University of Illinois at Urbana-Champaign, Champaign, IL, 61820, USA

    Yu-Feng Lin

  4. Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ, 85721, USA

    Shlomo P. Neuman

Authors
  1. Ming Ye
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  2. Philip D. Meyer
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  3. Yu-Feng Lin
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  4. Shlomo P. Neuman
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Correspondence to Ming Ye.

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Ye, M., Meyer, P.D., Lin, YF. et al. Quantification of model uncertainty in environmental modeling. Stoch Environ Res Risk Assess 24, 807–808 (2010). https://doi.org/10.1007/s00477-010-0377-0

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  • DOI: https://doi.org/10.1007/s00477-010-0377-0

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