Articles Tagged "Roy Spencer"

As clouds rise above the ITCZ, cloud tops create a reflective albedo, automatically limiting incoming solar radiation

WUWT provided a primer on cloud feedbacks on June 12th, 2009, followed by Willis Eschenbach’s “thermostat hypothesis” also recently published. This new paper by Spencer and Braswell is in the same theme as these.

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US Government admits global warming satellite sensors “degraded” -temperatures may be out by 10-15 degrees. Now five satellites in controversy. Top scientists speakout.

In an escalating row dubbed ‘Satellitegate’ further evidence proves NOAA knew of these faults for years. World’s top climate scientists and even prior governmental reports cite underfunding and misallocation as the trigger for spiraling satellite data calamities. Key flaws with five satellites undermines global data.

Most disturbing of all is that it took publication of my article last week to persuade the authorities to withdraw the errant NOAA-16 satellite from service. But as Dr. John Christy indicates, the real Satellitegate is not about one satellite. The scandal is endemic with comparable flaws across the entire network; the scandal is also that it took a tip off from a member of the public and the widespread broadcast of my article before one of the offending junk boxes, NOAA-16, got taken down.

Readers who missed the details when this sensational story first broke can seen here at ClimateChangeFraud.com.

NOAA’s chief Program Administrator, Chuck Pistis, at first disingenuously tried to discredit my report and whitewash the matter with disinformation. Indeed, we may have a smoking gun of a cover up when we contrast and compare latest announcements with the offending satellite’s AVHRR Subsystem Summary.

Probably as the result of my recent post explaining in simple terms my “skepticism” about global warming being mostly caused by carbon dioxide emissions, I’m getting a lot of e-mail traffic from some nice folks who are trying to convince me that the physics of the so-called Greenhouse Effect are not physically possible.

More specifically, that adding CO2 to the atmosphere is not physically capable of causing warming.

These arguments usually involve claims that “back radiation” can not flow from the cooler upper layers of the atmosphere to the warmer lower layers. This back radiation is a critical component of the theoretical explanation for the Greenhouse Effect.

Click source to read FULL report

I receive many e-mails, and a recurring complaint is that many of my posts are too technical to understand. This morning’s installment arrived with the subject line, “Please Talk to Us”, and suggested I provide short, concise, easily understood summaries and explanations “for dummies”.

So, here’s a list of basic climate change questions, and brief answers based upon what I know today. I might update them as I receive suggestions and comments. I will also be adding links to other sources, and some visual aids, as appropriate.

Deja vu tells me I might have done this once before, but I’m too lazy to go back and see. So, I’ll start over from scratch.

It is important to understand at the outset that those of us who are skeptical of mankind’s influence on climate have a wide variety of views on the subject, and we can’t all be right. In fact, in this business, it is really easy to be wrong. It seems like everyone has a theory of what causes climate change. But it only takes one of us to be right for the IPCC’s anthropogenic global warming (AGW) house of cards to collapse.

A new “study” has been published in the Proceedings of the National Academy of Sciences (PNAS) which has examined the credentials and publication records of climate scientists who are global warming skeptics versus those who accept the “tenets of anthropogenic climate change”.

Not surprisingly, the study finds that the skeptical scientists have fewer publications or are less credentialed than the marching army of scientists who have been paid hundreds of millions of dollars over the last 20 years to find every potential connection between fossil fuel use and changes in nature.

After all, nature does not cause change by itself, you know.

The study lends a pseudo-scientific air of respectability to what amounts to a black list of the minority of scientists who do not accept the premise that global warming is mostly the result of you driving your SUV and using incandescent light bulbs.

There is no question that there are very many more scientific papers which accept the mainstream view of global warming being caused by humans. And that might account for something if those papers actually independently investigated alternative, natural mechanisms that might explain most global warming in the last 30 to 50 years, and found that those natural mechanisms could not.

As just one of many alternative explanations, most of the warming we have measured in the last 30 years could have been caused by a natural, 2% decrease in cloud cover. Unfortunately, our measurements of global cloud cover over that time are nowhere near accurate enough to document such a change.

I’ve returned to the issue of determining to what extent the Pacific Decadal Oscillation (PDO) can at least partly explain global average temperature variations, including warming, during the 20th Century. We tried publishing a paper on this over a year ago and were immediately and swiftly rejected in a matter of days by a single (!) reviewer.

Here I use a simple forcing-feedback model, combined with satellite estimates of cloud changes caused by the PDO, to demonstrate the ability of the model to explain the temperature variations. This time, though, I am going to use Jim Hansen’s (GISS) record of yearly radiative forcings of the global climate system since 1900 to demonstrate more convincingly the importance of the PDO…not only for explaining the global temperature record of the past, but for the estimation of the sensitivity of the climate system and thus project the amount of future global warming (er, I mean climate change).

What follows is not meant to be publishable in a peer-reviewed paper. It is to keep the public informed, to stimulate discussion, to provide additional support for the claims in my latest book, and to help me better understand what I know at this point in my research, what I don’t know, and what direction I should go next.

The Simple Climate Model

I’m still using a simple forcing feedback-model of temperature variations, but have found that more than a single ocean layer is required to mimic both the faster time scales (e.g. 5-year) temperature fluctuations, while allowing a slower temperature response on multi-decadal time scales as heat diffuses from the upper ocean to the deeper ocean. The following diagram shows the main components of the model.

Click source to read FULL report by Dr. Roy Spencer

One of the main conclusions of the 2007 IPCC report was that the warming over the last 50 years was most likely due to anthropogenic pollution, especially increasing atmospheric CO2 from fossil fuel burning.

But a minority of climate researchers have maintained that some — or even most — of that warming could have been due to natural causes. For instance, the Pacific Decadal Oscillation (PDO) and Atlantic Multi-decadal Oscillation (AMO) are natural modes of climate variability which have similar time scales to warming and cooling periods during the 20th Century. Also, El Nino — which is known to cause global-average warmth — has been more frequent in the last 30 years or so; the Southern Oscillation Index (SOI) is a measure of El Nino and La Nina activity.

A simple way to examine the possibility that these climate cycles might be involved in the warming over the last 50 years in to do a statistical comparison of the yearly temperature variations versus the PDO, AMO, and SOI yearly values. But of course, correlation does not prove causation.

So, what if we use the statistics BEFORE the last 50 years to come up with a model of temperature variability, and then see if that statistical model can “predict” the strong warming over the most recent 50 year period? That would be much more convincing because, if the relationship between temperature and these 3 climate indicies for the first half of the 20th Century just happened to be accidental, we sure wouldn’t expect it to accidentally predict the strong warming which has occurred in the second half of the 20th Century, would we?

Temperature, or Temperature Change Rate?

This kind of statistical comparison is usually performed with temperature. But there is greater physical justification for using the temperature change rate, instead of temperature. This is because if natural climate cycles are correlated to the time rate of change of temperature, that means they represent heating or cooling influences, such as changes in global cloud cover (albedo).

Such a relationship, shown in the plot below, would provide a causal link of these natural cycles as forcing mechanisms for temperature change, since the peak forcing then precedes the peak temperature.

Click source to read FULL report from Dr. Roy Spencer

We posted the article Interview With A Global Warming Skeptic: Dr. Roy Spencer by Cameron J English from scientificblogging.com. Cameron has now posted the follow up from Dr. Roy Spencer as there was some criticism made to the interview.

We thank Cameron for sending in this additional article.

Are Clouds The Main Cause Of Climate Change? by Cameron J English

Two weeks ago, I interviewed Dr. Roy Spencer from the University of Alabama, Huntsville. Spencer is a trained atmospheric scientist and actively publishes in peer-reviewed journals – he is also a global warming skeptic. Given his background and contrarian views, I asked Spencer what evidence there is to suggest that a majority of the climate science community is wrong about global warming.

The strongest piece of evidence the IPCC has for connecting anthropogenic greenhouse gas emissions to global warming (er, I mean climate change) is the computerized climate model. Over 20 climate models tracked by the IPCC now predict anywhere from moderate to dramatic levels of warming for our future in response to increasing levels of atmospheric carbon dioxide. In many peoples’ minds this constitutes some sort of “proof” that global warming is manmade.

Yet, if we stick to science rather than hyperbole, we might remember that science cannot “prove” a hypothesis….but sometimes it can disprove one. The advancement of scientific knowledge comes through new hypotheses for how things work which replace old hypotheses that are either not as good at explaining nature, or which are simply proved to be wrong.

Each climate model represents a hypothesis for how the climate system works. I must disagree with my good friend Dick Lindzen’s recent point he made during his keynote speech at the 4th ICCC meeting in Chicago, in which he asserted that the IPCC’s global warming hypothesis is not even plausible. I think it is plausible.

And from months of comparing climate model output to satellite observations of the Earth’s radiative budget, I am increasingly convinced that climate models can not be disproved. Sure, there are many details of today’s climate system they get wrong, but that does not disprove their projections of long-term global warming.

I sometimes hear my fellow climate realists say that a globally-averaged surface temperature has little or no meaning in the global warming debate. They claim it is too ill-defined, not accurately known, or little more than just an average of a bunch of unrelated numbers from different regions of the Earth.

I must disagree.

The globally averaged surface temperature is directly connected to the globally averaged tropospheric temperature through convective overturning of the atmosphere. This is about 80% of the mass of the atmosphere. You cannot warm or cool the surface temperature without most of the atmosphere following suit.

The combined surface-deep layer atmospheric temperature distribution is then the thermal source of most of the infrared (IR) radiation that cools the Earth in response to solar heating by the sun. Admittedly, things like water vapor, clouds, and CO2 end up also modulating the rate of loss of IR to space, but it is the temperature which is the ultimate source of this radiation. And unless the rate of IR loss to space equals the rate of solar absorption in the global average, the global average temperature will change.