Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 4, issue 1/2
Articles | Volume 4, issue 1/2
https://doi.org/10.5194/ascmo-4-19-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-4-19-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 4, issue 1/2
30 Nov 2018
 | 30 Nov 2018

Estimates of climate system properties incorporating recent climate change

Alex G. Libardoni, Chris E. Forest, Andrei P. Sokolov, and Erwan Monier

Viewed

Total article views: 2,794 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,239 485 70 2,794 86 100
  • HTML: 2,239
  • PDF: 485
  • XML: 70
  • Total: 2,794
  • BibTeX: 86
  • EndNote: 100
Views and downloads (calculated since 30 Nov 2018)
Cumulative views and downloads (calculated since 30 Nov 2018)

Viewed (geographical distribution)

Total article views: 2,299 (including HTML, PDF, and XML) Thereof 2,278 with geography defined and 21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Apr 2024
Download
Short summary
We present new probabilistic estimates of model parameters in the MIT Earth System Model using more recent data and an updated method. Model output is compared to observed climate change to determine which sets of model parameters best simulate the past. In response to increasing surface temperatures and accelerated heat storage in the ocean, our estimates of climate sensitivity and ocean diffusivity are higher. Using a new interpolation algorithm results in smoother probability distributions.
Read more