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Category: Data Comparisons

Monthly Time Series for IPCC Projections

29 July, 2008 (10:13) | Data Comparisons, GHE, climate politics

This post is mostly to list locations where we can find various data sets for “model data” used in IPCC projections.
In an earlier discussion, Gavin left a link to The Climate Explorer very good resource for the IPCC projections. Unlike previous ones I’d visited, this actually provides already post-processed data and individual scenarios. [...]

New Climate Blog: Author requests help!

26 July, 2008 (11:54) | Data Comparisons

I’m kind of excited! I think someone has decided to jump in and start doing calculations, and should he permit me to mooch some of his results, that will speed me along doing comparisons! Naturally, I’m hoping I can get people to help Chad.
What’s Chad doing?: Chad’s is examining global mean surface [...]

Accounting for Measurement Uncertainty.

24 July, 2008 (12:00) | Data Comparisons

How many of you think the measurements of GMST are imprecise? As in, they might contain errors of some sort? I do.
Nevertheless, up to now, I have been performing hypothesis tests applying the assumption that the time series data for global mean surface temperature (GMST) are AR(1) distributed. I have [...]

Ninety Month Trends: IPCC AR4 2C/Century still outside ±95% uncertainty bands.

20 July, 2008 (06:47) | Data Comparisons, climate politics

Trends for the Global Means Surface temperature for five groups (GISS, HadCrut, NOAA/NCDC, UAH/MSU and RSS.) were calculated from Jan 2001-June 2008 using Ordinary Least Squares (OLS) using the method in Lee & Lund. to compute error bars, and Cochrane-Orcutt and compared to the IPCC AR4’s projected central tendency of 2C/century for the trend [...]

Is this Called Framing the Debate?

17 July, 2008 (12:57) | Data Comparisons

Evidently, the APS (American Physical Society) is inviting papers to debate a very specific conclusion of the IPCC:
There is a considerable presence within the scientific community of people who do not agree with the IPCC conclusion that anthropogenic CO2 emissions are very probably likely to be primarily responsible for the global warming that has [...]

Hypothesis test for 2C/century: now with Monte Carlo!

17 July, 2008 (11:03) | Data Comparisons

Sometimes, a picture is worth a thousand words.
See the blue vertical line at 2 C/century? That’s the central tendency for trends projected by the IPCC in the AR4.
See the bell-shaped curve? That’s a spread of trends due to “weather noise” that we might expect if the “weather noise” is similar to that [...]

Comparison to Gavin suggestion of AR(1)=0.1: Preliminaries.

11 July, 2008 (09:56) | Data Comparisons, Uncategorized

If I understand Gavin in comment correctly, he is requesting that I expand the features I consider to be included in the IPCC projections to include more information. The idea is that, by including features describing the variability of weather over time, the current trend could be found to fall into the range for weather. [...]

Yet another way to test the IPCC projections: They still aren’t so hot.

7 July, 2008 (16:18) | Data Comparisons, Uncategorized

Answering comments yesterday, I posted a graphical representation of IPCC projections for the 21st century. This is taken from the AR4:

It occurred to me that some readers might notice that, in the image, the projected line matches the hind-cast temperature at 2000. So, they might be interested in seeing how data might compare to [...]

Gavin Schmidt Corrects for ENSO: IPCC Projections Still Falsify

5 July, 2008 (11:19) | Data Comparisons, Uncategorized

Some of you may rush to your computer this morning and noticed that Gavin posted to let us know he found a “neat” way to ENSO correct data. Amazingly to any American, he did this at 7 pm, July 4th. If you are an avid reader of “The Blackboard”, [...]

What Forcings Did Hansen Use?

2 July, 2008 (10:48) | Data Comparisons, Uncategorized

A number of us have been debating whether the agreement between Hansen et al 1988 predictions/projections and later data is good, bad or indifferent. Naturally, the assessment depends a bit on the extent to which the applied forcings used in the projections match the data.
Some confusion has arisen regarding [...]