John Fasullo
@jfasullo
Climate scientist at NCAR; exploring climate variability and change using obs, models, & various techniques
ID: 121160920
http://www.cgd.ucar.edu/staff/fasullo/index.html 08-03-2010 16:25:29
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"Another Year of Record Heat for the Oceans" | Our ( Lijing Cheng et al) new study in Adv. Atmos. Sci.; this year we also show the consistent La Niña-like patterns of warming across recent decades. link.springer.com/article/10.100…
After the recent La Nina 3-peat, scientists detailed a possible link between this rare event & the effects of the Australian bushfires of 2019. John Fasullo discovered a “Rube Goldberg” machine of climate interactions that led from 🔥emissions to a La Niña. news.ucar.edu/132892/austral…
I wrote a meta piece about some interesting research by John Fasullo and colleagues out today. Yet another global effect of the dreadful 2019 Black Summer bushfires. 🔥 theconversation.com/smoke-from-the…
Interannual variability in wildfire triggers abrupt subarctic permafrost thawing, increased soil water drainage, and surface warming. This slow process is amplified by nonlinear cloud-aerosol interactions, driving decadal climate variability. John Fasullo nature.com/articles/s4161…
The Gulf Stream has been weakening since the 1980s. Full stop. That's the main conclusion of my Woods Hole Oceanographic Institution (WHOI) paper with Lisa M Beal University of Miami Rosenstiel School out today in AGU (American Geophysical Union) Geophysical Research Letters. Here's a thread. 🌊🌊🌊 1/ agupubs.onlinelibrary.wiley.com/doi/full/10.10…
Our latest review paper was just published PLOS Climate! Here, we analyze the literature on historical hydroclimate changes attributable to anthropogenic climate change. journals.plos.org/climate/articl…
Deadly rainfall in Central Europe twice as likely due to our continued burning of fossil fuels - World Weather Attribution study. Early warning meant deaths were avoided, but plans to strengthen flood defences have been implemented way too slowly.
What a profound insight. Perhaps we could do a study comparing rural and urban stations over time to assess bias? agupubs.onlinelibrary.wiley.com/doi/full/10.10… Or set up a pristine network of remote monitoring stations? agupubs.onlinelibrary.wiley.com/doi/full/10.10… Or exclude urban locations from our analysis?