Uncertainty quantification in climate modeling and projection

Yun Qian, Charles Jackson, Filippo Giorgi, Ben Booth, Qingyun Duan, Chris Forest, Dave Higdon, Z. Jason Hou, Gabriel Huerta

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

The projection of future climate is one of the most complex problems undertaken by the scientific community. With the rapid increase of complexity in Earth system models, reducing uncertainties in climate projections becomes extremely challenging. Since uncertainties always exist in climate models, interpreting the strengths and limitations of future climate projections is key to evaluating risks, and climate change information for use in vulnerability, impact, and adaptation (VIA) studies should be provided with both well-characterized and well quantified uncertainty.

Original languageEnglish (US)
Pages (from-to)821-824
Number of pages4
JournalBulletin of the American Meteorological Society
Volume97
Issue number5
DOIs
StatePublished - May 2016

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

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    Qian, Y., Jackson, C., Giorgi, F., Booth, B., Duan, Q., Forest, C., Higdon, D., Hou, Z. J., & Huerta, G. (2016). Uncertainty quantification in climate modeling and projection. Bulletin of the American Meteorological Society, 97(5), 821-824. https://doi.org/10.1175/BAMS-D-15-00297.1