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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023301Z
LOCATION:G404\, G Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241204T090000
DTEND;TZID=Asia/Tokyo:20241204T180000
UID:siggraphasia_SIGGRAPH Asia 2024_sess173_caf_473@linklings.com
SUMMARY:Atmospheric Carbon Dioxide Tagged by Source
DESCRIPTION:Computer Animation Festival\n\nAJ Christensen (NASA Scientific
  Visualization Studio, SSAI); Greg Shirah (NASA Scientific Visualization S
 tudio); Helen-Nicole Kostis (NASA Scientific Visualization Studio, USRA/Ef
 SI NASA/GSFC); Anansa B. Keaton-Ashanti and Mark SubbaRao (NASA Scientific
  Visualization Studio); Brenda Lopez-Silva (NASA Scientific Visualization 
 Studio, SSAI); and Lesley Ott (NASA Global Modeling and Assimilation Offic
 e)\n\nCarbon dioxide (CO2) is the most prevalent greenhouse gas driving gl
 obal climate change. However, its increase in the atmosphere would be even
  more rapid without land and ocean carbon sinks, which collectively absorb
  about half of human emissions every year. Advanced computer modeling tech
 niques in NASA's Global Modeling and Assimilation Office allow us to disen
 tangle the influences of sources and sinks and to better understand where 
 carbon is coming from and going to.\n\nThis visualization shows the CO2 be
 ing added to Earth's atmosphere over the course of the year 2021, split in
 to four major contributors: fossil fuels in orange, burning biomass in red
 , land ecosystems in green, and the ocean in blue. The dots on the surface
  also show how atmospheric carbon dioxide is also being absorbed by land e
 cosystems in green and the ocean in blue. Though the land and oceans are e
 ach carbon sinks in a global sense, individual locations can be sources at
  different times.\n\nThis annotated composite highlights key CO2 sources a
 nd sinks and their seasonal patterns.\n\nRegistration Category: Enhanced A
 ccess, Full Access, Full Access Supporter
URL:https://asia.siggraph.org/2024/program/?id=caf_473&sess=sess173
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