This website contains detailed instructions for re-creating the visualizations used in the Argo Animation produced in November 2023 for presentation at the Ocean Pavilion for the United Nations Climate Change Conference, COP28, in Dubai November 30-December 12, 2023.
Description: Extreme weather events and sea level rise are increasing, intensified by a warming ocean. Understanding heat in the ocean can help better predict extreme weather and long-term climate shifts. A network of robotic instruments called Argo is helping scientists track warming beneath the surface and it's showing us the ocean's heat content is increasing steeply. This video shares just how much the ocean is warming, and how the Argo program needs more support to continue to give society the full picture of ocean warming.
#Argo #OceanWarming #OceanHeat #MarineHeatWaves #ScrippsOceanography #UCSanDiego
{{< video https://youtu.be/z21WOHnN45I >}}
Animation by Jessica Kendall-Bar. https://jessiekb.com
Science Advisors: Sarah Purkey & Megan Scanderbeg - Climate, Atmospheric Sciences, and Physical Oceanography, Scripps Institution of Oceanography, UC San Diego.
This animation shows an increase in temperature below the ocean's surface as measured by autonomous profiling Argo floats over the course of the program's history since 2004, when float readings became dense enough to interpolate heat measurements for nearly any point on the globe. As our oceans warm, the ocean is storing more and more of the added heat in our atmosphere. When temperature change is distributed over the large ocean volume, it contains a lot of heat energy. Since the 1980s, the ocean has accumulated over 176 zetta-Joules of heat energy, roughly the equivalent of 7 billion atomic bombs. It is critical to understand this heat increase and the extent of ocean warming to better understand risks to marine life and society.
https://www.climate.gov/news-features/understanding-climate/climate-change-ocean-heat-content
We used Argo data from January 2004 to September 2023. Temperature differences were calculated based on an average local temperature over January 2004 to December 2018. Roemmich-GiIson Argo Climatology (2009). Code used to create the animations is available in the the associated GitHub repository: https://github.com/jmkendallbar/Argo-Animation
Publication: http://dx.doi.org/10.1016/j.pocean.2009.03.004 Dataset: https://sio-argo.ucsd.edu/pub/Global_Marine_Argo_Atlas/RG_ArgoClim_Temp.nc
Argo data are collected and made freely available by the International Argo Program and the national programs that contribute to it.
Argo Website: https://argo.ucsd.edu
Publication: https://doi.org/10.17882/42182
Other data sources (in order of appearance):
Sea Surface Temperature (SST) data from the Jet Propulsion Laboratory Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature Analysis. https://svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=5101
Monthly Global Sea Surface Temperature Timeseries: OISST V2.1 - ClimateReanalyzer.org, Climate Change Institute, University of Maine. https://climatereanalyzer.org/clim/sst_monthly/
Internal ocean temperature difference: Roemmich-GiIson Argo Climatology (2009). Anomaly calculated from the over Jan 2004 - Dec 2018 average.
Publication: http://dx.doi.org/10.1016/j.pocean.2009.03.004 Dataset: https://sio-argo.ucsd.edu/pub/Global_Marine_Argo_Atlas/RG_ArgoClim_Temp.nc,
Ocean heat content: Lyman and Johnson (2014) updated for Johnson et al. (BAMS State of the Climate 2023). https://www.climate.gov/news-features/understanding-climate/climate-change-ocean-heat-content
Code to generate Argo data visualizations is available via Github at: https://github.com/jmkendallbar/Argo-Animation