I've noticed that you've listed a lot of secondary sources (books, blogs, IPCC summaries) but not primary sources (published papers by scientists in peer-reviewed journals). Is there a reason for this e.g. that you do not have access to the primary sources, or find them indigestible?
If you do need to rely on secondary sources, I'd suggest to focus on books and blogs whose authors are also producing the primary sources. Of the blogs you mention, I believe that Real Climate and Skeptical Science are largely authored by working climate scientists, whereas the others are not.
Of course a number of the blogs convey the message that climate science as a whole is utterly partisan and biased, so any output of climate scientists through secondary sources and summaries is untrustworthy. If you can't analyse the underlying primary evidence, and do not assign negligible prior probability to such a mass scientific conspiracy (or mass scientific error) then it is hard to refute that mindset. But you still have to ask who has the greater incentives here: is it really poorly paid scientists pushing a conspiracy or collective fantasy to get a bit more funding, or is it highly paid lobbyists, firms and commentators defending a trillion dollar industry, one which would be doomed by serious action on climate change?
As I mentioned in the post:
I read many papers from a diverse array of sources. I arrived at most papers either by clicking links on one of the blogs or websites mentioned above, or using Google or Google Scholar searches for specific topics. Any paper that I use as input to my opinion in a specific post will be explicitly linked in that post.
I can't include a list of papers right now because the list of papers will itself be determined in real time during my inquiries, but I will link to the ones I reference at each stage of research.
...Of course a numb
As part of a review of forecasting, I've been looking at weather and climate forecasting (I wrote one post on weather forecasting and another on the different time horizons for weather and climate forecasting).
Climate forecasting is turning out to be a fairly tricky topic to look into, partly because of the inherent complexity of the task, and partly because of the politicization surrounding Anthropogenic Global Warming (AGW).
Due to the complexity and the potential for bias, I decided to disclose what materials I've read and my potential sources of bias.
Why am I looking at climate forecasting?
Climate forecasting, and the debate surrounding what'll happen to the climate and how human choices today can shape it, is one of the biggest examples of a long-range forecasting effort that has attracted widespread attention, both in terms of the science and the policy and political implications. Understanding how it was done can give insights into the ability of humans to make forecasts about the long-run future (on the decadal or centennial timescale) in the face of considerable uncertainty, and use those forecasts to drive decisions today. This would be relevant for other long-range forecasting problems, such as (possibly) friendly AI. Note though that my focus isn't driven by finding parallels with any other specific forecasting problem, such as friendly AI.
The sorts of questions I hope to answer by the end of this inquiry
The following are questions to which I hope to state relatively clear answers by the end:
The following are questions to which I may not obtain clear answers, but I'll be looking for and reporting information on them because they influence the answers to the preceding questions:
Sources
Courses or full-fledged reviews
Books about climate change aimed at a popular audience
Books about specific controversies surrounding climate change
Book chapters
IPCC reports
Blogs and websites
I reference here only the blogs and websites I've identified as places to check out, rather than ones where I chanced upon an isolated blog post by link-traipsing or searching the web.
Papers
I read many papers from a diverse array of sources. I arrived at most papers either by clicking links on one of the blogs or websites mentioned above, or using Google or Google Scholar searches for specific topics. Any paper that I use as input to my opinion in a specific post will be explicitly linked in that post.
Potential for bias and inaccuracy
Looking for suggestions
As always, I'm happy to hear suggestions. In particular, I am interested in suggestions on these fronts: