About

Dominic Bailey is an Associate Professor of Philosophy and an Affiliated Faculty member of the Department of Classics at the University of Colorado Boulder. He is based in the Hellems 172B office and can be contacted via email at Dominic.Bailey@Colorado.EDU. His academic role involves engaging with students and colleagues within the College of Arts and Sciences, contributing to the department's teaching and research activities. The university recognizes its location on the traditional territories and ancestral homelands of the Cheyenne, Arapaho, Ute, and many other Native American nations, acknowledging the historical and ongoing impacts of their forced removal from these lands.

Research topics

• Environmental science
• Geology
• Oceanography
• Climatology
• Computer Science
• Physics
• Astrobiology
• Meteorology
• Earth science
• Geography
• Mathematics

Selected publications

• Arctic Sea Ice in CMIP6

  Geophysical Research Letters · 2020 · 712 citations

  • Climatology
  • Environmental science
  • Geology

  Abstract We examine CMIP6 simulations of Arctic sea‐ice area and volume. We find that CMIP6 models produce a wide spread of mean Arctic sea‐ice area, capturing the observational estimate within the multimodel ensemble spread. The CMIP6 multimodel ensemble mean provides a more realistic estimate of the sensitivity of September Arctic sea‐ice area to a given amount of anthropogenic CO 2 emissions and to a given amount of global warming, compared with earlier CMIP experiments. Still, most CMIP6 models fail to simulate at the same time a plausible evolution of sea‐ice area and of global mean surface temperature. In the vast majority of the available CMIP6 simulations, the Arctic Ocean becomes practically sea‐ice free (sea‐ice area <1 × 10 6 km 2 ) in September for the first time before the Year 2050 in each of the four emission scenarios SSP1‐1.9, SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5 examined here.

  DOI

• An Unprecedented Set of High‐Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change

  Journal of Advances in Modeling Earth Systems · 2020 · 345 citations

  • Climatology
  • Environmental science
  • Meteorology

  Abstract We present an unprecedented set of high‐resolution climate simulations, consisting of a 500‐year pre‐industrial control simulation and a 250‐year historical and future climate simulation from 1850 to 2100. A high‐resolution configuration of the Community Earth System Model version 1.3 (CESM1.3) is used for the simulations with a nominal horizontal resolution of 0.25° for the atmosphere and land models and 0.1° for the ocean and sea‐ice models. At these resolutions, the model permits tropical cyclones and ocean mesoscale eddies, allowing interactions between these synoptic and mesoscale phenomena with large‐scale circulations. An overview of the results from these simulations is provided with a focus on model drift, mean climate, internal modes of variability, representation of the historical and future climates, and extreme events. Comparisons are made to solutions from an identical set of simulations using the standard resolution (nominal 1°) CESM1.3 and to available observations for the historical period to address some key scientific questions concerning the impact and benefit of increasing model horizontal resolution in climate simulations. An emerging prominent feature of the high‐resolution pre‐industrial simulation is the intermittent occurrence of polynyas in the Weddell Sea and its interaction with an Interdecadal Pacific Oscillation. Overall, high‐resolution simulations show significant improvements in representing global mean temperature changes, seasonal cycle of sea‐surface temperature and mixed layer depth, extreme events and in relationships between extreme events and climate modes.

  DOI

• Antarctic Sea Ice Area in CMIP6

  Geophysical Research Letters · 2020 · 389 citations

  • Climatology
  • Environmental science
  • Geology

  Abstract Fully coupled climate models have long shown a wide range of Antarctic sea ice states and evolution over the satellite era. Here, we present a high‐level evaluation of Antarctic sea ice in 40 models from the most recent phase of the Coupled Model Intercomparison Project (CMIP6). Many models capture key characteristics of the mean seasonal cycle of sea ice area (SIA), but some simulate implausible historical mean states compared to satellite observations, leading to large intermodel spread. Summer SIA is consistently biased low across the ensemble. Compared to the previous model generation (CMIP5), the intermodel spread in winter and summer SIA has reduced, and the regional distribution of sea ice concentration has improved. Over 1979–2018, many models simulate strong negative trends in SIA concurrently with stronger‐than‐observed trends in global mean surface temperature (GMST). By the end of the 21st century, models project clear differences in sea ice between forcing scenarios.

  DOI

• The Community Earth System Model Version 2 (CESM2)

  Journal of Advances in Modeling Earth Systems · 2020 · 3143 citations

  • Computer Science
  • Computer Science
  • Environmental science

  Abstract An overview of the Community Earth System Model Version 2 (CESM2) is provided, including a discussion of the challenges encountered during its development and how they were addressed. In addition, an evaluation of a pair of CESM2 long preindustrial control and historical ensemble simulations is presented. These simulations were performed using the nominal 1° horizontal resolution configuration of the coupled model with both the “low‐top” (40 km, with limited chemistry) and “high‐top” (130 km, with comprehensive chemistry) versions of the atmospheric component. CESM2 contains many substantial science and infrastructure improvements and new capabilities since its previous major release, CESM1, resulting in improved historical simulations in comparison to CESM1 and available observations. These include major reductions in low‐latitude precipitation and shortwave cloud forcing biases; better representation of the Madden‐Julian Oscillation; better El Niño‐Southern Oscillation‐related teleconnections; and a global land carbon accumulation trend that agrees well with observationally based estimates. Most tropospheric and surface features of the low‐ and high‐top simulations are very similar to each other, so these improvements are present in both configurations. CESM2 has an equilibrium climate sensitivity of 5.1–5.3 °C, larger than in CESM1, primarily due to a combination of relatively small changes to cloud microphysics and boundary layer parameters. In contrast, CESM2's transient climate response of 1.9–2.0 °C is comparable to that of CESM1. The model outputs from these and many other simulations are available to the research community, and they represent CESM2's contributions to the Coupled Model Intercomparison Project Phase 6.

  DOI

Recent grants

• NNA Track 1: Collaborative Research: Navigating Convergent Pressures on Arctic Development

  NSF · $230k · 2020–2026

Frequent coauthors

• Marika M. Holland

  92 shared

• Amanda H. Lynch

  Providence College

  60 shared

• Jennifer E. Kay

  University of California, Los Angeles

  44 shared

• Alice K. DuVivier

  36 shared

• Alexandra Jahn

  31 shared

• John Fasullo

  25 shared

• Cécile Hannay

  24 shared

• Jean‐François Lamarque

  NSF National Center for Atmospheric Research

  23 shared

Education

• PhD, Astrophysical, Planetary, and Atmospheric Sciences

  University of Colorado Boulder

  2001

• M.S., Oceanography

  University of British Columbia

  1993

• B.Math, Mathematics

  University of Waterloo

  1991

Similar researchers at University of Colorado Boulder

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• Joost de Gouwh-186
• Roy Parkerh-161
• Kristi S. Ansethh-159
• Thomas R. Cechh-156