Why trust climate models? It’s a matter of simple science
by Scott K. Johnson with comments from Weaver, Easterbrook, Otto-Bliesner, Schmidt, Del Genio, and Alley.
This is just awesome with awesome sauce on top.
How refreshing to read a lay science piece that’s about the science and not the controversy.
Looks like Colorado.
More than 100 people are missing in catastrophic bushfires that are ravaging the Australian island of Tasmania.
Some 1,000 people were rescued by boat from the east coast after fires cut off roads, but police say they hold ‘grave fears’ for a number of residents who stayed to defend their homes but have not been heard from.
It comes amid the hottest temperatures ever recorded on the island, peaking at 41.8C (107F) on Friday.
As fires continued to burn yesterday, police and rescue experts began the grim search for bodies in the worst-hit towns of Boomer Bay, where 65 properties were lost, and Dunalley, both in the south-east of the island.
More pics at Daily Mail UK: Tasmania-bushfires-Grave-fears-stayed-defend-homes
Jeff Spross @ Climate Progress has more background and details.
‘Sprawling Heat Wave Of Historical Proportions’ Brings ‘Horrendous’ Wildfires To Australia
Jeff Masters @ Wunderground
Historic heat wave brings Australia its hottest average temperature on record
Professor Bickmore takes a skeptical look at Dr. Spencer’s The Great Global Warming Blunder: How Mother Nature Fooled the World’s Top Climate Scientists
(also … Roy Spencer’s six trillion degree warming Smith @ Not Spaghetti
Mathematical analysis of Roy Spencer’s climate model Smith @ Not Spaghetti)
Our JGR Paper on Feedbacks is Published
Spencer @ Spencer
On the diagnosis of radiative feedback in the presence of unknown radiative forcing
Spencer and Braswell, 2010
Potential Biases in Feedback Diagnosis from Observational Data: A Simple Model Demonstration
Spencer and Braswell, 2008
Looking back a bit …
Natural Warming Id @ the Air Vent
Warming in Last 50 Years Predicted by Natural Climate Cycles Spencer @ Spencer
Evidence for Natural Climate Cycles in the IPCC Climate Models’ 20th Century Temperature Reconstructions Spencer @ Spencer
Skeptical Science looks at the PDO.
Blaming the Pacific Decadal Oscillation Riccardo @ Skeptical Science
Tamino takes a look at Knudsen et al. 2011: Tracking the Atlantic Multidecadal Oscillation through the last 8,000 years.
8,000 years of AMO? Tamino @ Open Mind
Remiss in my duties, I have not been very systematic in my blog science searches. Some older, but not too old, pieces are included here.
For instance, I missed Two Most Excellent Pieces from The Way Things Break
Greenland and Antarctic ice sheet decay update
Tropical tropospheric temperature, instrumental and proxy trends
Brook looks back at a two year old forecast
A toy model for forecasting global temperatures – 2011 redux, part 1 Barry Brook @ Brave New Climate
Clear Climate Code is sponsoring a Google Summer of Code 2011 project.
Bart touches on the one of the two greatest sources of uncertainty (aside from hand-waving and wand-waving).
Radiative forcing by aerosol used as a wild card: NIPCC vs Lindzen Verheggen @ Our Changing Climate
A pair of solar-driven climate papers by Weber and Le Mouël …
Strong signature of the active Sun in 100 years of terrestrial insolation data
Article first published online: 21 MAY 2010
A solar pattern in the longest temperature series from three stations in Europe
Le Mouël, Jean-Louis; Kossobokov, Vladimir; Courtillot, Vincent
Journal of Atmospheric and Solar-Terrestrial Physics, Volume 72, Issue 1, p. 62-76.
has come under criticism by Feulner and Legras, respectively.
The Smithsonian solar constant data revisited: no evidence for cosmic-ray induced aerosol formation in terrestrial insolation data
Volumes and Issues Contents of Issue 1
Atmos. Chem. Phys. Discuss., 11, 2297-2316, 2011
A critical look at solar-climate relationships from long temperature series
B. Legras, O. Mestre, E. Bard, and P. Yiou
Clim. Past, 6, 745-758, 2010
Zeke tries to tease out natural -v- anthropogenic attribution in the AMO.
The Atlantic Multidecadal Oscillation and Modern Warming Hausfather @ The Blackboard
I’ve udpated the previous recap with some work by Stokes on Antarctic warming and Eschenbach on precipitation extremes.
Note: Science Direct is down for maintenance this morning – so some links may not work and some abstracts are missing. Updated
Update 20110220: I’ve added both some older and newer technical links to the S09/O10 information and will continue to do so as good links become available (or I find interesting old ones).
The “Tribe-said/Team-said” BS seems to be simmering down some and a couple of blogs are looking under the hood to see what all the fuss is about (technically) in the Steig 2009 / ODonnell 2010 kerfluffle.
kgnd & Cross-Validation: PART II – Parting Thoughts O’Donnell @ the Air Vent
kgnd & Cross-Validation ODonnell @ the Air Vent
Antarctic, RO10, Steig and TempLS Stokes @ Moyhu
Ryan’s Code – testing. Stokes @ Moyhu
Ryan’s Code – S09 with more PCs Stokes @ Moyhu
Ryan’s Code Stokes @ Moyhu
Sensitivity Test: O’Donnell’s idea Lucia @ The Blackboard
A Calmer Conversation with the Nail O’Donnell at The Air Vent
EIV/TLS Regression – Why Use It? RomanM at Statistics and Other Things
The Two-and-One-Half PC Solution RomanM at Statistics and Other Things
Ridge Regression Tamino @ Open Mind
Real Climate and Climate Progress comment on two papers dealing with flooding and precipitation. Dr. Pielke Jr casts these in contrast with flood damage and streamflows. Dr Curry find this kind of analysis “totally unconvincing”. Eschenbach has a reply cast in the usual WUWT scathing tone.:
Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000
Pall, Aina, Stone, Stott, Nozawa, Hilberts, Lohmann & Allen (2011)
Human contribution to more-intense precipitation extremes
Min, Zhang, Zwiers & Heger (2011)
A simple and coherent framework for partitioning uncertainty in multi-model climate ensembles is presented. The analysis of variance (ANOVA) is used to decompose a measure of total variation additively into scenario uncertainty, model uncertainty and internal variability.
A Simple, Coherent Framework for Partitioning Uncertainty in Climate Predictions (Journal of Climate)