“Spread in model climate sensitivity traced to atmospheric convective mixing” (Sherwood, Bony, Dufresne) | hypergeometric

hypergeometric

Skip to content

Home
About

← Maths and Science 2013: Reaction to Wilson and Frenkel

A trivariate, coupled dynamical system, and hints for using the carbon cycle to explain glacial-interglacial periods →

“Spread in model climate sensitivity traced to atmospheric convective mixing” (Sherwood, Bony, Dufresne)

Posted on 1 January 2014 by ecoquant

S. C. Sherwood, S. Bony, J.-L. Dufresne. “Spread in model climate sensitivity traced to atmospheric convective mixing”. Nature, 2014; 505 (7481): 37 DOI: http://dx.doi.org/10.1038/nature12829

Only one word for this: Ooops.

Hat tip to Dan’s Wild Wild Science Journal.

Professor Michael Mann and Dr Gavin Schmidt at RealClimate offer comments about this paper.

Share this:

Twitter
Facebook
LinkedIn
WhatsApp
Reddit
Email

Like this:

Like Loading...

Related

About ecoquant

See http://www.linkedin.com/in/deepdevelopment/ and https://667-per-cm.net/about

View all posts by ecoquant →

This entry was posted in civilization, climate, climate education, environment, geoengineering, geophysics, meteorology, oceanography, physics, science and tagged oops, we got a problem. Bookmark the permalink.

← Maths and Science 2013: Reaction to Wilson and Frenkel

A trivariate, coupled dynamical system, and hints for using the carbon cycle to explain glacial-interglacial periods →

Leave a reply. Commenting standards are described in the About section linked from banner. Cancel reply

Enter your comment here...

Fill in your details below or click an icon to log in:

Email (required) (Address never made public)

Name (required)

Website

You are commenting using your WordPress.com account. ( Log Out / Change )

You are commenting using your Google account. ( Log Out / Change )

You are commenting using your Twitter account. ( Log Out / Change )

You are commenting using your Facebook account. ( Log Out / Change )

Connecting to %s

Notify me of new comments via email.

Notify me of new posts via email.

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Search for:
Distributed Solar: The Democratizaton of Energy
Top Posts & Pages
Archives
Archives

Blogroll
climate change

Blog Stats
- 72,627 hits

Recent Posts
- “Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions” 10 July 2020
- Larkin Poe Interview 10 July 2020
- Indiara Safir: “Amazing Grace”, “Carlos & Maria”, “Time” 6 July 2020
- Political and demographic associations with changes in COVID-19 rates at the tails 6 July 2020
- (no title) 4 July 2020
- So, today, a diversion … 4 July 2020
- Calculating Derivatives from Random Forests 27 June 2020
- Great podcast: “Confronting uncertainty with Tamsin Edwards” 24 June 2020
- Larkin Poe 16 June 2020
- ClimateAdam on ClimateJustice 12 June 2020
- COVID-19 statistics, a caveat : Sources of data matter 17 May 2020
- First substantial mechanism for long term immunity from SARS-CoV-2 : T-cells 16 May 2020
- Larkin Poe: “Southern Cross” cover, from CSNY (and extras) 13 May 2020
- Dissection of the Dr Judy Mikovits’ claims in AAAS Science 10 May 2020
- We are all Mathematicians 7 May 2020
- “There’s mourning in America” 5 May 2020
- “Seasonality of COVID-19, Other Coronaviruses, and Influenza” (from Radford Neal’s blog) 4 May 2020
- Phase plane plots of COVID-19 deaths 2 May 2020
- A SimCity for the Climate 27 April 2020
- Simplistic and Dangerous Models 27 April 2020
- “The ‘profoundly radical’ message of Earth Day’s first organizer” 25 April 2020
- Major Ocean Currents Drifting Polewards 24 April 2020
- Keep fossil fuels in the ground 20 April 2020
- “Lockdown WORKS” 17 April 2020
- “coronavirus counts do not count” 10 April 2020
- Cloud brightening hits a salty snag 10 April 2020
- Machiavelli 6 April 2020
- Oldie and Goodie: `Testing a point Null Hypothesis: The irreconcilability of p-values and evidence’ 5 April 2020
- Virgin 2 April 2020
- “Social Distancing Works” 1 April 2020
- New COVID-19 incidence in the United States as AR(1) processes 28 March 2020
- What happens when time sampling density of a series matches its growth 14 March 2020
- Meteorological Spring, and the Atlantic’s primary producers are jumping the phenological gun 10 March 2020
- R ecosystem package coronavirus 5 March 2020
- Curiosity`s recent view of Mars 4 March 2020
- Mike Bloomberg 2020: Climate Warrior 24 February 2020
- “Code for causal inference: Interested in astronomical applications” 21 February 2020
- Reanalysis of business visits from deployments of a mobile phone app 20 February 2020
- “The truly common core” 19 February 2020
- Another kind of latent data: That encoded in journal and report figures 13 January 2020
- “Because we need to make the science stick.” 11 January 2020
- Australia: Too little, too late, and what about the future? 10 January 2020
- Greta Thunberg on the BBC : Her guest edit 30 December 2019
- Why Massachusetts needs the Transportation and Climate Initiative 25 December 2019
- What it takes to explore the oceans everywhere: WHOI’s got it 24 December 2019
- We shouldn’t forget where we are on the course towards climate disruption 23 December 2019
- More reasons why centralized grids and ISOs/RTOs cannot be trusted, with an afterthought 21 December 2019
- On odds of storms, and extreme precipitation 20 December 2019
- There’s Big Data, Tiny Data, and now Dead Data 14 December 2019
- Climate Adam on Greta Thunberg 12 December 2019
Follow Blog via Email

Enter your email address to follow this blog and receive notifications of new posts by email.

Join 98 other followers

Archives
- July 2020
- June 2020
- May 2020
- April 2020
- March 2020
- February 2020
- January 2020
- December 2019
- November 2019
- October 2019
- September 2019
- August 2019
- July 2019
- June 2019
- May 2019
- April 2019
- March 2019
- February 2019
- January 2019
- December 2018
- November 2018
- October 2018
- September 2018
- August 2018
- July 2018
- June 2018
- May 2018
- April 2018
- March 2018
- February 2018
- January 2018
- December 2017
- November 2017
- October 2017
- September 2017
- August 2017
- July 2017
- June 2017
- May 2017
- April 2017
- March 2017
- February 2017
- January 2017
- December 2016
- November 2016
- October 2016
- September 2016
- August 2016
- July 2016
- June 2016
- May 2016
- April 2016
- March 2016
- February 2016
- January 2016
- December 2015
- November 2015
- October 2015
- September 2015
- August 2015
- July 2015
- June 2015
- May 2015
- April 2015
- March 2015
- February 2015
- January 2015
- December 2014
- November 2014
- October 2014
- September 2014
- August 2014
- July 2014
- June 2014
- May 2014
- April 2014
- March 2014
- February 2014
- January 2014
- December 2013
- November 2013
- October 2013
- September 2013
- August 2013
- July 2013
- June 2013
- May 2013
- April 2013
- February 2013
- January 2013
- November 2012
- RSS - Posts
- RSS - Comments

Kalman filtering and smoothing; dynamic linear models

Also, see datasets and R examples to accompany this excellent text.

I have used dlm almost exclusively, except when extreme efficiency was required. Since Jouni Helske's KFAS was rewritten, though, I'm increasingly drawn to it, because the noise sources it supports are more diverse than dlm's. KFAS uses the notation and approaches of Durbin, Koopman, and Harvey.

``The real problem is that programmers have spent far too much time worrying about efficiency in the wrong places and at the wrong times; premature optimization is the root of all evil (or at least most of it) in programming.''
Professor Donald Knuth, 1974
author

Send to Email Address Your Name Your Email Address

Cancel

Post was not sent - check your email addresses!

Email check failed, please try again

Sorry, your blog cannot share posts by email.

%d bloggers like this: