John C. Fyfe

ORCID: 0000-0003-2524-0652
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Atmospheric and Environmental Gas Dynamics
  • Meteorological Phenomena and Simulations
  • Oceanographic and Atmospheric Processes
  • Arctic and Antarctic ice dynamics
  • Atmospheric Ozone and Climate
  • Climate change and permafrost
  • Cryospheric studies and observations
  • Marine and coastal ecosystems
  • Geology and Paleoclimatology Research
  • COVID-19 impact on air quality
  • Geophysics and Gravity Measurements
  • Tropical and Extratropical Cyclones Research
  • Methane Hydrates and Related Phenomena
  • Atmospheric chemistry and aerosols
  • Climate Change and Health Impacts
  • Plant Water Relations and Carbon Dynamics
  • Ocean Acidification Effects and Responses
  • Climate change impacts on agriculture
  • Air Quality and Health Impacts
  • Geomagnetism and Paleomagnetism Studies
  • Aeolian processes and effects
  • Climate Change Policy and Economics
  • Air Quality Monitoring and Forecasting
  • Marine and environmental studies

Environment and Climate Change Canada
2015-2024

University of Victoria
2009-2022

Pacific Institute for Climate Solutions
2015-2022

Climate Centre
2001-2021

Columbia University
2021

Jet Propulsion Laboratory
2021

Milken Institute
2021

George Washington University
2021

University of California, Los Angeles
2021

US Climate Variability and Predictability Program
2020

Abstract We examine CMIP6 simulations of Arctic sea‐ice area and volume. find that models produce a wide spread mean area, capturing the observational estimate within multimodel ensemble spread. The provides more realistic sensitivity September to given amount anthropogenic CO 2 emissions global warming, compared with earlier CMIP experiments. Still, most fail simulate at same time plausible evolution surface temperature. In vast majority available simulations, Ocean becomes practically free...

10.1029/2019gl086749 article EN cc-by Geophysical Research Letters 2020-04-17

Abstract. The Scenario Model Intercomparison Project (ScenarioMIP) defines and coordinates the main set of future climate projections, based on concentration-driven simulations, within Coupled phase 6 (CMIP6). This paper presents a range its outcomes by synthesizing results from participating global coupled Earth system models. We limit our scope to analysis strictly geophysical outcomes: mainly averages spatial patterns change for surface air temperature precipitation. also compare CMIP6...

10.5194/esd-12-253-2021 article EN cc-by Earth System Dynamics 2021-03-01

The Arctic Oscillation (AO) and the Antarctic (AAO) are leading modes of high‐latitude variability in each hemisphere as characterized by first EOF mean sea‐level pressure. Observations suggest a recent positive trend AO it is speculated that this may be related to global warming. CCCma coupled general circulation model control simulation exhibits robust realistic AAO. Climate change simulations for period 1900–2100, with forcing due greenhouse gases aerosols, exhibit trends both simulates...

10.1029/1999gl900317 article EN Geophysical Research Letters 1999-06-01

Changes in the position and strength of Southern Hemisphere surface westerlies have significant implications for ocean circulation global carbon cycle. Here we compare climatologies, as well trends, westerly wind‐stress jet reanalyses with Coupled Model Intercomparison Project (CMIP) phase 3 5 models over historical period from 1979–2010. We show that both CMIP3 CMIP5 exhibit an equatorward biased climatological position. The climate trends annual mean strength, though underestimate...

10.1029/2012gl052810 article EN Geophysical Research Letters 2012-07-30

Abstract The Canadian Seasonal to Interannual Prediction System (CanSIPS) became operational at Environment Canada's Meteorological Centre (CMC) in December 2011, replacing CMC's previous two-tier system. CanSIPS is a two-model forecasting system that combines ensemble forecasts from the for Climate Modeling and Analysis (CCCma) Coupled Model, versions 3 4 (CanCM3 CanCM4, respectively). Mean climate as well trends variability these models are evaluated freely running historical simulations....

10.1175/mwr-d-12-00216.1 article EN other-oa Monthly Weather Review 2013-01-18

Abstract Empirical orthogonal function (EOF) analysis is a powerful tool for data compression and dimensionality reduction used broadly in meteorology oceanography. Often the literature, EOF modes are interpreted individually, independent of other modes. In fact, it can be shown that no such attribution generally made. This review demonstrates general individual (i) will not correspond to dynamical modes, (ii) kinematic degrees freedom, (iii) statistically (iv) strongly influenced by...

10.1175/2009jcli3062.1 article EN Journal of Climate 2009-08-04

Over the past half-century, ozone hole has caused a poleward shift of extratropical westerly jet in Southern Hemisphere. Here, we argue that these circulation changes, resulting from depletion, have substantially contributed to subtropical precipitation changes. Specifically, show southern subtropics austral summer increases significantly when climate models are integrated with reduced polar concentrations. Furthermore, observed patterns change, 1979 2000, very similar those our model...

10.1126/science.1202131 article EN Science 2011-04-22

Abstract Peak runoff in streams and rivers of the western United States is strongly influenced by melting accumulated mountain snowpack. A significant decline this resource has a direct connection to streamflow, with substantial economic societal impacts. Observations reanalyses indicate that between 1980s 2000s, there was 10–20% loss annual maximum amount water contained region’s Here we show consistent results from large ensemble climate simulations forced natural anthropogenic changes,...

10.1038/ncomms14996 article EN cc-by Nature Communications 2017-04-18

Abstract. Polar amplification – the phenomenon where external radiative forcing produces a larger change in surface temperature at high latitudes than global average is key aspect of anthropogenic climate change, but its causes and consequences are not fully understood. The Amplification Model Intercomparison Project (PAMIP) contribution to sixth Coupled (CMIP6; Eyring et al., 2016) seeks improve our understanding this through coordinated set numerical model experiments documented here. In...

10.5194/gmd-12-1139-2019 article EN cc-by Geoscientific model development 2019-03-25

We investigate simulated changes in the annular modes historical and RCP 4.5 scenario simulations of 37 models from fifth Coupled Model Intercomparison Project (CMIP5), a much larger ensemble than has previously been used to mode trends, with improved resolution forcings. The CMIP5 on average simulate increases Northern Annular Mode (NAM) Southern (SAM) every season by 2100, no model simulates significant decrease either NAM or SAM any season. No increase North Atlantic Oscillation (NAO) is...

10.1002/grl.50249 article EN Geophysical Research Letters 2013-02-23

Abstract Reducing uncertainty in the global carbon budget requires better quantification of ocean CO 2 uptake and its temporal variability. Several methodologies for reconstructing air‐sea exchange from pCO observations indicate larger decadal variability than estimated using models. We develop a new application multiple Large Ensemble Earth system models to assess these reconstructions' ability estimate spatiotemporal With our Testbed, fields 25 ensemble members each four independent are...

10.1029/2020gb006788 article EN cc-by Global Biogeochemical Cycles 2021-03-10

The COVID-19 global pandemic and associated government lockdowns dramatically altered human activity, providing a window into how changes in individual behavior, enacted en masse, impact atmospheric composition. resulting reductions anthropogenic activity represent an unprecedented event that yields glimpse future where emissions to the atmosphere are reduced. Furthermore, abrupt reduction during lockdown periods led clearly observable composition, which provide direct insight feedbacks...

10.1073/pnas.2109481118 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2021-11-09
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