Estimates of climate system properties incorporating recent climate change

Joint Program Reprint • Journal Article
Estimates of climate system properties incorporating recent climate change
Libardoni, A.G., C.E. Forest, A.P. Sokolov and E. Monier (2018)
Advances in Statistical Climatology, Meteorology and Oceanography, 4(1/2),19-36 (doi:10.5194/ascmo-4-19-2018)

Reprint 2018-22 [Download]

Abstract/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.

Citation:

Libardoni, A.G., C.E. Forest, A.P. Sokolov and E. Monier (2018): Estimates of climate system properties incorporating recent climate change. Advances in Statistical Climatology, Meteorology and Oceanography, 4(1/2),19-36 (doi:10.5194/ascmo-4-19-2018) (https://www.adv-stat-clim-meteorol-oceanogr.net/4/19/2018/)
  • Joint Program Reprint
  • Journal Article
Estimates of climate system properties incorporating recent climate change

Libardoni, A.G., C.E. Forest, A.P. Sokolov and E. Monier

2018-22
4(1/2),19-36 (doi:10.5194/ascmo-4-19-2018)
2018

Abstract/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.

Posted to public: 

Friday, November 30, 2018 - 14:00