2020-04-30

[public] 295K views, 12.7K likes, dislikes audio only

MinuteEarth

Thanks to CTBTO for sponsoring this video: https://www.ctbto.org

Many of the bewildering correlations in our world - like that between Beryllium-7 and the Asian monsoon - are a result of huge and unseen forces that tie them together.

Thanks also to our Patreon patrons https://www.patreon.com/MinuteEarth and our YouTube members.

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To learn more, start your googling with these keywords:

Monsoon: A seasonal increase in precipitation driven by atmospheric conditions.

Hadley Cell: A global scale atmospheric cell driven by air rising near the equator and falling as it flows towards the polls.

Ferrel Cell: A secondary atmospheric circulation that collides with the Hadley cell and pushes air back down towards the Earth’s surface.

Intertropical Convergence Zone: The narrow zone between the northern and southern Hadley cells where warm air comes together and rises.

Tropopause: The boundary area roughly 15 kilometers above the Earth’s surface between the troposphere and the stratosphere.

Radionuclide: Isotopes of atoms that release radiation as they break down.

Beryllium-7: A relatively stable radionuclide of the element Beryllium that naturally forms in the tropopause during spallation.

Spallation: The process in which a heavier atom loses nuclear particles after being bombarded by cosmic rays.

Cosmic Rays: High energy atomic particles that move at near light speed through space.

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Credits (and Twitter handles):

Video Writer, Director, and Narrator: David Goldenberg (@dgoldenberg)

Video Illustrator: Sarah Berman (@sarahjberman)

With Contributions From: Henry Reich, Alex Reich, Kate Yoshida, Ever Salazar, Peter Reich, Julián Gómez, Arcadi Garcia Rius

Music by: Nathaniel Schroeder: http://www.soundcloud.com/drschroeder

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References:

Terzi, L., Kalinowski, M., Schoeppner, M., and Wotawa, G. (2019). How to predict seasonal weather and monsoons with radionuclide monitoring. Nature. 9: 2729. Retrieved from: https://www.nature.com/articles/s41598-019-39664-7.

Köhn‐Reich, L., Bürger, G. (2019). Dynamical prediction of Indian monsoon: Past and present skill. International Journal of Climatology. 38:3574-3581. Retrieved from: https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.6039.

Delaygue, G., Bekki, S., and Bard, E. (2015) Modelling the stratospheric budget of beryllium isotopes. Tellus B: Chemical and Physical Meteorology, 67:1 Retrieved from: https://www.tandfonline.com/doi/full/10.3402/tellusb.v67.28582.

Palukkat, H. (2016) The odds of foretelling rains: Why monsoon prediction is hard, and why it could soon improve. Economic Times. Retrieved from: https://economictimes.indiatimes.com/news/politics-and-nation/the-odds-of-foretelling-rains-why-monsoon-prediction-is-hard-and-why-it-could-soon-improve/articleshow/52876823.cms.

Kalinowski, M. (2020). Personal Communication. Provisional Technical Secretariat, Preparatory Commission for the Nuclear-Test-Ban Treaty Organization.