About
Alexandra Jahn is an Associate Professor in the Atmospheric and Oceanic Sciences department at the University of Colorado Boulder. Her research focuses on climate modeling, Arctic Ocean and sea ice variability, freshwater systems, paleoclimate, and the use of isotopes and geotracers in climate studies. She is involved in climate model evaluation and contributes to understanding climate dynamics through her expertise in these areas. Her academic and research activities are centered at the University of Colorado Boulder, where she engages in advancing knowledge of climate processes and their impacts.
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Research topics
- Geology
- Earth science
- Oceanography
- Political Science
- Environmental science
- Climatology
- Law
- Geography
- Paleontology
- Business
- Environmental ethics
- Physical geography
Selected publications
Earth Virtualization Engines (EVE)
2023 · 9 citations
- Political Science
- Political Science
- Earth science
Abstract. To manage Earth in the Anthropocene, new tools, new institutions, and new forms of international cooperation will be required. Earth Virtualization Engines are proposed as international federation of centers of excellence to empower all people to respond to the immense and urgent challenges posed by climate change.
Hydroclimate footprint of pan-Asian monsoon water isotope during the last deglaciation
Science Advances · 2021 · 226 citations
- Geology
- Oceanography
- Environmental science
depletion in the AM region is accompanied by a northward migration of the westerly jet and enhanced southwesterly monsoon wind, as well as increased rainfall from South Asia (India) to northern China but decreased rainfall in southeast China.
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.
Recent grants
NSF · $302k · 2016–2022
NSF · $351k · 2015–2020
CAREER: Reducing the projection uncertainty for Arctic sea ice loss
NSF · $834k · 2019–2027
Frequent coauthors
- 62 shared
Marika M. Holland
- 54 shared
Patricia DeRepentigny
- 45 shared
Jennifer E. Kay
University of California, Los Angeles
- 45 shared
Esther C. Brady
NSF National Center for Atmospheric Research
- 43 shared
Abigail Smith
NSF National Center for Atmospheric Research
- 42 shared
Bette L. Otto‐Bliesner
NSF National Center for Atmospheric Research
- 37 shared
Jiaxu Zhang
- 37 shared
Zhengyu Liu
Sun Yat-sen University
Education
- 2010
PhD, Atmospheric and Oceanic Sciences
McGill University
- 2004
Diplom, Meteorology
Freie Universitat Berlin
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