Do you want to see scientific evidence that undeniably shows that global climate change is being driven by human activity?
Then you won’t want to miss hearing from Ben Santer, a prestigious atmospheric scientist at Lawrence Livermore National Laboratory (LLNL) and lead author of the Nobel prize-winning IPCC report that concluded that “the balance of evidence suggests a discernable human influence on global climate.”
Fingerprinting the Climate System: Fingerprint research seeks to improve understanding of the nature and causes of climate change. The basic strategy is to search for model-predicted patterns of climate change (“fingerprints”) in observed climate records. Such studies exploit the fact that different factors affecting climate have different characteristic signatures. These unique attributes are clearer in detailed patterns of climate change than in global-mean climate information. Fingerprinting is a powerful tool for separating human and natural climate-change signals. Results from fingerprint research provide scientific support for findings of a “discernible human influence” on global climate.
Twenty-four years ago, at the time of publication of the Second Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), most fingerprint studies relied on surface temperature. Critics of this work argued that a human-caused fingerprint should be identifiable in many different aspects of the climate system, and not in surface thermometer records alone. Climate scientists responded to this justifiable criticism by moving beyond early “temperature only” fingerprint studies, interrogating modeled and observed changes in rainfall, water vapor, river runoff, snowpack depth, atmospheric circulation, salinity, and many other climate variables. The message of this body of work is that human-caused fingerprints are ubiquitous in the climate system.
SPEAKER BIO
Dr. Benjamin Santer is an atmospheric scientist at Lawrence Livermore National Laboratory (LLNL) who studies natural and human “fingerprints” in observed climate records. His early research contributed to the historic 1995 conclusion of the Nobel-Prize-winning Intergovernmental Panel on Climate Change (IPCC): “the balance of evidence suggests a discernible human influence on global climate”. He served as lead author of a key chapter of that report as well as a contributor to all four assessment reports of the IPCC. Since 1995, Ben has identified human fingerprints in atmospheric temperature and water vapor, ocean heat content, sea surface temperature in hurricane formation regions, and many other climate variables.
Ben has received a number of awards for his research. These include a (1998) MacArthur Fellowship (MacArthur "genius" grant), an E. O. Lawrence Award, A Department of Energy Distinguished Scientist Fellowship and membership in the U.S. National Academy of Sciences (2011).
He is a prolific author and speaker, being a lead or contributing author of 189 peer-reviewed and other publications and 12 book chapters while participating in hundreds of speaking engagements over the course of the past 35 years.
In addition to his research, he cares deeply about the communication of climate science to a wide range of audiences. He writes for the Scientific American blog and has appeared on “Late Night with Seth Meyers”. Together with Chip Duncan and Dr. Hernando Garzon, Ben is a member of “The Three Tenors of Climate Change”. The Tenors are devoted to the task of improving public understanding of the science and impacts of human-caused climate change. In his spare time, Ben is an avid rock-climber and mountaineer.
Ben holds a doctorate in Climatology from the University of East Anglia, England. After completing his Ph.D. in 1987, he spent five years at the Max-Planck Institute for Meteorology in Germany, where he worked on developing and applying climate fingerprint methods. Ben joined Lawrence Livermore in 1992.
About the Site 🌐
This site provides links to random videos hosted at YouTube, with the emphasis on random. 🎥
Origins of the Idea 🌱
The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. 🧠
Challenges Faced 🤔
Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.
Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. 🔍
Creating Truly Random Links 🛠️
The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.
About YouTube 📺
YouTube, an American video-sharing website based in San Bruno, California, offers a diverse range of user-generated and corporate media content. 🌟
Content and Users 🎵
Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.
While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.
Monetization and Impact 🤑
YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.
As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. 📈
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