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Doug Bostrom at 02:40 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
Eric yes record high minimums are recorded and as predicted are rising. Probably more important is the general upward drift of nighttime minimum. Because of the nature of GHGs increasing nighttime minimum temperatures are a very useful confirmation of GHG forcing. Another statistical way of looking at weather. Asymmetric Trends of Daily Maximum and Minimum Temperature Maximum and Minimum Temperature Trends for the Globe Global warming: Evidence for asymmetric diurnal temperature change Asymmetric diurnal temperature change in the Alpine region -
Ned at 02:40 AM on 14 August 2010Hockey stick is broken
All of the threads from before March or so of this year are gone at Tamino's site. It's a huge loss, as there was a lot of very good information there. -
batsvensson at 02:40 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
Is there any findings on whether the unusual cold winter in Europe and US of A this year can be attributed to weather or climate? -
pedroj at 02:31 AM on 14 August 2010Hockey stick is broken
John, I don't know what's happening with Tamino's blog, but links are not working anymore. Fortunately internet archive keeps his blog until the end of 2008. Here is the link for the post not alike. -
NickD at 02:18 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
Perhaps the people in Indonesia are very thin, so it just feels cooler than it really is :) -
Alden Griffith at 02:10 AM on 14 August 2010Of satellites and temperatures
Also, UAH and RSS don't use MSU data from NOAA-16 anymore: http://www.remss.com/msu/msu_data_description.html#rss_msu_data_analysis ftp://ghrc.nsstc.nasa.gov/pub/data/msu/t2lt/readme.13Apr2010 (scroll to Dec 2006 updates) It's unbelievable how little it takes for some people to cry foul. I think we should compile a list of all the times that accusations of "conspiracy" and "fraud" have been shown to be either completely baseless or of little significance. Anybody remember the boy who cried wolf? -Alden -
BillWalker at 02:01 AM on 14 August 2010Of satellites and temperatures
So, now that Spencer and Christy have corrected the errors in the UAH satellite record so that it no longer shows cooling, the "skeptics", who were formerly deeply enamored of the UAH satellite data, are now claiming satellite data may be unreliable. I'm shocked, shocked! -
SNRatio at 01:45 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
Just a small comment on the UHI theme: It is just one reason to be very careful using max/min temperatures for climate indications. If, the variance increases with greater forcing (and, probably, mean temperature), it is the exact shape of the tails of the temperature distributions that determine the records, and they may actually go off in either or both directions without that much happening to the mean. Sampling, for instance, the highest and lowest 5% of all measurements, could give more robust measures. And then, UHI and other effects would play a lesser role. -
michael sweet at 01:37 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
Thingadonta, Can you refer to a measured temperature record that confirms what you claim? The graph you refer to is from measured data. Your claim (from only 12 months experience!) that "locals say" is what we call anecdotal. Since actual temperature records exist everywhere, it would be more convincing if you cited those instead. You might learn that it really is warmer where you are when you check! The data to support the graph is GISS data page here. You can probably find a local source of the data if you look. -
Doug Bostrom at 01:31 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
Rick1521, do you think the UHI effect in Oklahoma City explains the magenta color over Russia? Can you explain how? -
SNRatio at 01:30 AM on 14 August 2010Has Global Warming Stopped?
Pete Ridley: And the upshot of all this is? Please state the relevance, or else go to a place devoted to discussing sensor details. We have had too much of this already. It MAY be important, but every single case I have seen investigated so far (cfr the weather stations) have ended up rather affirming than invalidating the consensus about the temperature series. The main trouble you run into, is that too many independent observations all confirm the same overall picture.Moderator Response: You're right that discussion of the technical details of satellite measurement of temperatures is off-topic for this thread. Fortunately, there is a new thread dedicated to clearing up the confusion over this subject: Of satellites and temperatures -
SNRatio at 01:19 AM on 14 August 2010Has Global Warming Stopped?
fydijkstra #64: There are certainly pseudo-periodic oscillations going on, as may be expected in a system well outside equilibrium. The simple Akasofu formula "anomaly = LIA recovery + MDO" predicts falling temperatures now - and therefore I wonder if it is not already partly falsified. The trend also seems rather speculative: What is the physical basis for this continuing "LIA recovery" in the 21st century? If, instead, that trend of 0.7-0.8 deg/century, today is part of the AGW trend, it can take quite some time to sort out the best model. Under the AGW assumption, with a 0.15 deg/decade warming trend, a model using just this plain trend, with no covariate corrections may "perform" worse for quite some time than a model with smaller trend and some corrections, like Akasofu's. It's really quite simple: In the short run, you can't beat ad hoc-arguments, and in the long run, the ad hoc-argumenters are gone, they are making new ad hoc arguments somewhere else. This is not a model fitting game, it is a process of finding the best explanatory variables for the long run. -
Berényi Péter at 01:01 AM on 14 August 2010On Statistical Significance and Confidence
#51 tobyjoyce at 00:47 AM on 14 August, 2010 The odd shape of the distribution could probably be approximated by a mixture of Gaussians You would need a whole lot of them. The tail seems to decrease slower than exponentially. -
Ned at 00:54 AM on 14 August 2010Of satellites and temperatures
RSVP, you can see things like that in very high-resolution thermal imagery. But the spatial resolution of the systems used for global monitoring of SSTs (e.g., AVHRR, MODIS) is typically 1 km by 1 km. A ship's smokestack would fill no more than a tiny fraction of 1% of that pixel. More to the point, since metal has very low emissivity, the rest of the ship would probably lower the apparent temperature of the pixel more than the heated smokestack would raise it.... But at 1 km resolution, both effects would be trivial. -
RSVP at 00:48 AM on 14 August 2010Of satellites and temperatures
Why wouldnt a ship's smokestack register as a very hot point on the water? And how does real data like this get filtered? -
tobyjoyce at 00:47 AM on 14 August 2010On Statistical Significance and Confidence
Berenyi Peter #40, The odd shape of the distribution could probably be approximated by a mixture of Gaussians e.g. a density function f s.t. f(x)= p1f1(x)+p2f2(x)..... +pnfn(x), where all the fi's are univariate normal, and p1+p2...+pn=1 In #50, I would not despair of finding a suitable distribution or combination thereof to fit to the data. -
JMurphy at 00:45 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
thingadonta wrote : "You refer to a comment above-global warming makes more rain and worse droughts, but you cant have it both ways-in some or many cases these will cancel each other out. Current conditions in Russia are a good eample, the heat in Russia is balanced by the heavy rain and lower temperatures in SE Asia all through this year-they are almost certainly related, and some major benefits flow from it (water), it's not all doom and gloom." Can you think of a way to get all that 'beneficial' water from SE Asia (presumably only the bits that are a "benefit", i.e. that aren't destroying and killing) up to Russia, so they can "cancel each other out" ? -
NickD at 00:44 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
I think I can officially say I have now heard it all! -
thingadonta at 00:07 AM on 14 August 2010NASA-GISS: July 2010-- What global warming looks like
I'm sorry but I simply dont beleive some of your Figure 1 in this case. I have been living in Indonesia for the last 12 months and there is no way temperatures have been above average in hte last 6 months, as indicated in figure 1. We are in the tropics and right now we are wearing warm jackets. The locals say it hasnt been this cold in 35 years. It is also a really wet year, due to La Nina. Another point you already know, floods and rain and drought come and go, dont get in the trap of blaming everything on some mysterious 'other' factor. You refer to a comment above-global warming makes more rain and worse droughts, but you cant have it both ways-in some or many cases these will cancel each other out. Current conditions in Russia are a good eample, the heat in Russia is balanced by the heavy rain and lower temperatures in SE Asia all through this year-they are almost certainly related, and some major benefits flow from it (water), it's not all doom and gloom. -
Rick1521 at 23:43 PM on 13 August 2010NASA-GISS: July 2010-- What global warming looks like
The UHI effect can easily explain the change in record highs and lows. Last night the three Oklahoma City sites on the Oklahoma Mesonet recorded low temperatures of 82, 83, and 84 (Oklahoma City is in the center of the state). Only one other site in the state of Oklahoma recorded a value in this range (there are 122 sites statewide), the rest were lower. Yesterday, lows at these three sites were 81, 81, and 82. No other sites recorded low temperatures this high. -
Berényi Péter at 23:11 PM on 13 August 2010On Statistical Significance and Confidence
#42 kdkd at 09:54 AM on 13 August, 2010 For reasonable sample sizes parametric statistics are usually good enough. Yes, but you have to get rid of the assumption of normality. Temperature anomaly distribution does get more regular with increasing sample size, but it never converges to a Gaussian. The example below is the GHCN stations from the contiguous United States (lower 48) from 1949 to 1979, those with at least 15 years of data for each month of the year (1718 locations). To compensate for the unequal spatial distribution of stations, I have taken average monthly anomaly for each 1×1° box and month (270816 data points in 728 non-empty grid boxes).Mean is essentially zero (0.00066°C), standard deviation is 1.88°C. I have put the probability density function of a normal distribution there with the same mean and standard deviation for comparison (red line). We can see temperature anomalies have a distribution with a narrow peak and fat tail (compared to a Gaussian). This property has to be taken into account. It means it's way harder to reject the null hypothesis ("no trend") for a restricted sample from the realizations of a variable with such a distribution than for a normally distributed one. Bayesian approach does not change this fact. We can speculate why weather behaves this way. There is apparently something that prevents the central limit theorem to kick in. In this respect it resembles to the financial markets, linguistic statistics or occurrences of errors in complex systems (like computer networks, power plants or jet planes) potentially leading to disaster. That is, weather is not the cumulative result of many independent influences, there must be self organizing processes at work in the background, perhaps. The upshot of this is that extreme weather events are much more frequent than one would think based on a naive random model, even under perfect equilibrium conditions. This variability makes true regime shifts hard to identify.
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Eric (skeptic) at 23:04 PM on 13 August 2010NASA-GISS: July 2010-- What global warming looks like
Are there separate stats for record high minimums? According to the "10 fingerprints" page, nights are warming faster than days and we should see even more record high minimums than record high maximums. Second question, are there ways to adjust for UHI in the records (similar to what is done with the averages)? -
Englishborn at 23:00 PM on 13 August 2010NASA-GISS: July 2010-- What global warming looks like
Thanks Toby and CBDunkerson, I was in zombie mode when reading the "article" and was not really putting it all together in my head. -
michael sweet at 22:13 PM on 13 August 2010NASA-GISS: July 2010-- What global warming looks like
Another great post Doug, very helpful. On the subject of attribution. How long will it take for scientists to analyize the weather patterns seen this year (and the recent past) and give some numbers on attribution? For example, if there is a 1:1000 chance of the Russian weather and a 1:500 chance of the Pakistan weather and so on for all these events, can a link to global warming eventualy be established? A comparision could be made to the graphic you have on temperature records. We do not know which records were set because of warming, but certainly the dicotomy of hot to cold records is caused by warming. -
gp2 at 21:54 PM on 13 August 2010NASA-GISS: July 2010-- What global warming looks like
There is another interesting point in the press release (and the submitted paper) i.e. the use of (only) station located in area below satellite's lights detection limits doesn't affect temperature increase: "The biggest change in the paper is inclusion of an additional analysis is which global temperature change is based only on stations located in "pitch dark" regions, i.e., regions with satellite-observed brightness below the satellite's detection limit (1 μW/m2/sr/μm). Our standard analysis uses stations with satellite-observed brightness below 32 μW/m2/sr/μm. This more strict brightness limitation has no significant effect on analyzed global temperature change, providing additional confirmation that any urban effect on the GISS analysis of global temperature change is small." -
CBDunkerson at 21:48 PM on 13 August 2010NASA-GISS: July 2010-- What global warming looks like
Englishborn, the reality of the situation is explained in the comments below the article. Basically, it was a cloudy day and the satellite wasn't able to take any accurate readings. That happens all the time and just means they don't have satellite data for that day. Thus no, it doesn't mean that NOAA is evil and faking their data to 'make up' global warming. At that, NOAA's global temperature anomaly set is based on SURFACE readings... their satellites weren't originally intended for temperature measurement at all, but some of them are now used to estimate such by UAH and RSS. -
Eric (skeptic) at 21:23 PM on 13 August 2010On Statistical Significance and Confidence
I'm not sure I agree with the argument that having additional degrees of freedom beyond the one degree in the linear model "has to be justified". How is the single degree of freedom justified? That it allows us to answer an arbitrarily chosen question (linear trend hypothesis for CO2-based warming) does not seem like a strong justification considering that natural temperature cycles can last for years, decades, centuries, or longer. -
bluegrue at 19:12 PM on 13 August 2010Abraham reply to Monckton
I have looked into Monckton's "SPPI temperature index" and written a blog post on the findings: Evolution of the “SPPI global temperature index” It started out as a simple mean of HadCRUt3, NCDC, RSS, and UAH. However, NCDC and HadCRUt3 were soon dropped and right now the "index" seems to be down to just RSS. In addition, the "index" is shifted for each plot such that its minimum value within the given graph is 0°C. So the value of the "index" may change depending on the time period covered. -
Pete Ridley at 19:09 PM on 13 August 2010Has Global Warming Stopped?
Here’s the latest comment from John O’Sullivan on the response to his articles: “Since writing those articles concerned researchers have come forward to offer more shocking information regarding systemic failures in the satellite temp. measuring network. The following are what I have so far been advised are the key areas of concern. Please feel free to add this information to your communications with other interested parties-it seems as if the entire edifice of credibility in the satellite temp recording is about to collapse: * The NPOESS (National Polar-orbiting Operational Environmental Satellite) will not have any sensors that measure the sun’s energy output on the 2nd and 4th satellites. * The GOES-R (Geostationary Operational Environmental Satellite-R Series) has had 14 sensors cancelled. No data for cloud base height, ozone layer, ocean color, ocean turbidity and cloud imagery, snow cover, etc. Effectively neutered. * Landsat 7 (currently in orbit) is broken leaving data gaps. Scientists do not get all the information they should. * No sensor for movement of greenhouse gases and pollutants. * No sensor to monitor temperature changes on Earth over time. * The sensor to measure how Earth’s temperature reacts to changes in Solar energy was cancelled by the Obama Administration at the end of June 2011”. John also advises that Dr. Roy Spencer says “"We always had trouble with NOAA-16 AMSU, and dropped it long ago. It had calibration drifts that made it unsuitable for climate monitoring. Obviously, whatever happened to NOAA-16 AVHRR (or the software) introduced HUGE errors.” [note: climate modelling and climate monitoring are two very different disciplines].” John will keep me updates so I’ll pass further information to. Best regards, Pete Ridley -
Pete Ridley at 19:08 PM on 13 August 2010Has Global Warming Stopped?
Admin, sorry that I hadn’t realised from the blog’s comment policy that even mention of the blog I linked to was “itself a violation”. I hope that you consider Climate Realists (Note 1) to be “a better source to cite for the satellite instrumentation issue” and I submit another modified version (the fourth) of the comment that you found unacceptable. Alden, on 3rd August NewYorkJ at 09:12 said “The statistical significance argument is also of limited value when you're dealing with a variety of indicators. .. Then there is satellite data, which is mostly independent. I believe these reach similar levels of confidence as HadCrut over this time period .. ”. I tried to post the following comment today on your “On Statistical Significance and Confidence” article but it was removed for some reason. Perhaps it was considered to be off-topic, which can’t be the case on this thread. You say in the “On Statistical Significance … ” article “So let’s think about the temperature data from 1995 to 2009 and what the statistical test associated with the linear regression really does .. ” but there is a much more fundamental test to be undertaken on those data. By far the greatest contribution to “Statistical Significance and Confidence” is the integrity of the raw data itself. There is much scepticism about this, only days ago highlighted by the revelations about another set of data purporting to be representative of global temperatures during a similar period. I refer here to the satellite data used by NOAA in support of its claims about global temperature change during the past decade. On 12th August the “Climate Realists” blog posted an article “Official: Satellite Failure Means Decade of Global Warming Data Doubtful by John O'Sullivan”. It provided links to two articles by John O’Sullivan. The first “US Government in Massive New Global Warming Scandal – NOAA Disgraced” reported on 9th August of significant errors in data collected by the NOAA-16 satellite. The second links to John’s follow-up article “Official: Satellite Failure Means Decade of Global Warming Data Doubtful” of 1th August in which he starts with “US Government admits satellite temperature readings “degraded.” All data taken offline in shock move. Global warming temperatures may be 10 to 15 degrees too high” and concludes “With NOAA’s failure to make further concise public statements on this sensational story it is left to public speculation and ‘citizen scientists’ to ascertain whether ten years or more of temperature data sets from satellites such as NOAA-16 are unreliable and worthless”. Everything in between is worth reading, as are the numerous postings about it flying around the blogosphere – enjoy. NOTES: 1) see http://climaterealists.com/index.php?id=6127&utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+ClimaterealistsNewsBlog+%28ClimateRealists+News+Blog%29 Best regards, Pete Ridley -
tobyjoyce at 18:16 PM on 13 August 2010NASA-GISS: July 2010-- What global warming looks like
I had a look at the site referred to by Englishborn #1. It is the usual denialist tactic of seizing on an honest mistake as evidence of "fraud". WUWT had a similar post about temperature adjustments at Katmandu Airport (used by GISS). The tactic comes from a misunderstanding of science, the belief that it is a "chain of evidence" and if one link is broken, the whole case falls. But scientific evidence, and climate science is a good example, is multiple interwoven strands (more like a rope or cable). You need to break many strands before the theory starts to look ragged. Great post. Money quote from the paper: "What we can say is that global warming has an effect on the probability and intensity of extreme events." -
Englishborn at 18:02 PM on 13 August 2010NASA-GISS: July 2010-- What global warming looks like
Sorry to go off topic slightly, but I have noticed some blogs reporting (by that I mean copy and pasting each other) about errors found in the NOAA satalite data, and how they have taken them from public view. Reading the blogs I quickly got lost in the propaganda attacks and lost what really the NOAA is being accused of and what errors are really being admitted. one such blog (god I hope that link worked) There seems to be a lack of this being reported in any other media outlet, can any kind soul enlighten me on the issue? Is it a major error on the NOAA behalf, does it call into question their global temp data? or is it being blown out of proportion for the skepitical blogoshere? Thanks Also great post Doug, keep it upModerator Response: We've added a new thread for discussion of this topic: Of satellites and temperatures -
Pete Ridley at 17:41 PM on 13 August 2010Models are unreliable
KR, on 30th July at 02:41 (#228) you said that “Regarding temperature data .. there are three independent data sets .. ”. NASA appears to think otherwise according to its 3rd August draft of paper "Global surface temperature change". It says “Analyses of global surface temperature change are routinely carried out by several groups, including the NASA Goddard Institute for Space Studies, the NOAA National Climatic Data Center (NCDC), and a joint effort of the UK Met Office Hadley Centre and the University of East Anglia Climatic Research Unit (HadCRUT). These analyses are not independent, as they must use much the same input observations.” (See http://data.giss.nasa.gov/gistemp/paper/gistemp2010_draft0803.pdf). Any comment? Best regards, Pete Ridley -
gallopingcamel at 14:51 PM on 13 August 2010Why I care about climate change
Posts #131 through #138, Thanks for remaining so reasonable and so eloquent. I am impressed. It reminds me of Lawrence Durrell and the Alexandrian Quartet. We are looking at the same Justine while drawing entirely different conclusions. I guess we will continue locking horns until Mother Nature reveals herself. I suspect we will not have to wait much longer. muoncounter (#137), Texas and California are indeed dominant when it comes to selecting which science text books will make huge sales. Your apology is appropriate and welcome John Hubisz details the "howlers" in the physics text books but the errors are seldom corrected when new editions are published. When a student finds something in a science text book that makes no sense he asks his teacher for an explanation. As long as the teacher knows the subject he will be able to set things straight. Unfortunately, most of the time in my state the teacher cannot say whether the text book is right or wrong and as a result many students are permanently "turned off". I hope we can agree that widespread scientific illiteracy is dangerous when our survival depends on sophisticated technology. -
kdkd at 14:44 PM on 13 August 2010On Statistical Significance and Confidence
Jeff Freymueller #47 Classical (null hypothesis based) significance tests for the regression slopes are very low power, so it will take a long time for any increase in trend to be statistically significant. It's really a limitation of the correlation based methodology. -
Jeff Freymueller at 14:12 PM on 13 August 2010On Statistical Significance and Confidence
#45 barry, I think you are close. What you can say from this is that the *best estimate* of the rate of warming has increased with each decade over the last 30 years. What you don't get from this analysis is whether the increase in the rate is significant, or whether it could plausibly be explained by random chance. To determine that you need to work out the uncertainties in your trend estimates, and then apply an appropriate test for significance of the change. -
Jeff Freymueller at 14:07 PM on 13 August 2010On Statistical Significance and Confidence
#44 HumanityRules, the choice of null hypothesis depends on what you are trying to test -- you seem to be saying that the choice is completely subjective, which then "influences the outcome of what are posited as objective facts". That's jumping to conclusions, to put it mildly. The null hypothesis you test against always depends on what you are trying to test. The result of a statistical test is to accept or reject that hypothesis. In the case of the paper you reference, "best performance" is not explicitly defined, but it appears that what they are saying is that if you look at the historical record, taking the average temperature over a <30 year period does a better job of predicting the next 20 years than extrapolating the trend. (Is this also what you interpret it to be?). What they do next is to compare the Hansen model predictions to determine if the model predicted the future better than the null hypothesis. For this question, it is especially important to choose the best possible predictor as the null hypothesis, because you want to see if the model can out-do that to a significant degree. If you chose a poor predictor as the null hypothesis, you could get a false positive, in which you conclude the model has significant predictive power ("skill") when it really does not. What I think you are doing here is you are interpreting the authors' careful discussion of what is the most skillful null hypothesis as evidence that everything is subjective, which is pretty much the opposite of what you should have concluded here. Far from choosing a subjective null hypothesis to falsely "prove" something, the authors are actually showing that they have been careful to avoid a false positive result. -
barry1487 at 13:56 PM on 13 August 2010On Statistical Significance and Confidence
Thanks for the replies above. I'll endeavour to follow up the suggestions. One last question, then I'll refrain from interrupting with my naive experiments. Curious about the effects of decadal temps on the centennial trend, I plotted linear regressions from 1900 - 1979, and then to 1989, 1999 and 2009 at the woodfortrees site.With each additional ten years, the trend rate increases, and each time it increases by more than the last. Figures below are per century. 1900 to 1979 - 0.53 1900 to 1989 - 0.57 1900 to 1999 - 0.64 1900 to 2009 - 0.73 Would I be over-interpreting the results to suggest that the rate of warming has increased with each decade over the last 30 years? (I'm trying to think of simple and effective ways to respond to the memes about global temperatures for last 10 - 12 years)
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muoncounter at 13:54 PM on 13 August 2010We're heading into an ice age
Here's an interesting figure, derived from a compilation of ice core CO2 data.From the file history: "connect it to the glacial cycles by marking 230 ppm as a transition level and colored "glacial periods" blue and interglacial periods yellow. There's a clear 80,000-110,000 period of repeating glacier even if they vary in quality." I'm not aware of any credible evidence for 15k year glacial cycles or any factual support for suggestions that we're heading into an ice age. What I have seen are mis-statements of fact: "Some say we are "nearing the end of our minor interglacial period", and may in fact be on the brink of another Ice Age." Incredibly this statement is linked to a source, which says very little of the kind: "We currently are nearing the end of a small, minor interglacial period ". Of course, this figure doesn't include our own increase in CO2 to 390 ppm, but it does make it obvious that glacial stages don't happen in high CO2 environments -- in our current plate tectonic/ocean circulation setting. You're not in the Ordovician any longer.
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HumanityRules at 11:56 AM on 13 August 2010On Statistical Significance and Confidence
Alden, I wonder if you could discuss the choice of null hypothesis? I ask because yesterday I read this paper. For them they are comparing the observed trend in the last two decades with the Hansen 1988 modelled trend. They investigate two possible null hypothesis, either the temperature is a continuation of the trend from the previous two decades or is a continuation of the average for the previous two decades (read the paper it's explained better there!). They suggest the average of the previous two decades is a better null hypothesis, I understand how they come to that conclusion. It struck me that while one null hypothesis might be better than another, both might still be bad. Put simplistically the hypotheses could be good and bad, or they could be bad and very bad. In a reference to the real world the question might be does one years temperature have any strong relationship to the previous or next years temperature? On a crude level it might be true because we roughly have the same sun and earth but in terms of understanding the fine variability of the system is there any relation? If something like CO2 dominates the movement in temperature, which is meant to be a linear trend then maybe the null hypotheses choosen are good. But if the climate is dominated by cycles or is simply chaotic then these null hypothesis that depend on the temperature of the previous 20 years may not be very good choices. There appears to be a subjective aspect to the choice of a null hypothesis which then influences the outcome of what are posited as objective facts. -
muoncounter at 10:57 AM on 13 August 2010More evidence than you can shake a hockey stick at
#23: "quantify how much heat energy resides in each of the individual components that comprise the atmosphere, that would bring the role that the heat energy resident in water vapour has in measured temperatures into perspective." Why is this distinction necessary? Whether the heat is in the water vapor or the air, the measured temperature is higher. For some fun and instructive graphics in this regard, try the NOAA climate indicators. For some not-so-much-fun, yet still instructive results, try searching google news for "record heat and record high humidity". -
kayve at 10:15 AM on 13 August 2010We're heading into an ice age
I need to do more reading on Broecker on this, and I tend to be at odds with some of the literature. However, some of it has given me some hunches. The PETM was a period 55 million years ago with no glaciation. The popular media presented this as a possible future state due to greenhouse forcing. I believe this must be a complete error. Moran et al. presents Arctic Ocean sediment core data that argues for a transition period between glaciations during the same time (between 45 and 35 million years ago (Ma)) when the southern ocean Antarctic Circumpolar Current (ACC) was being formed. Their graphic describes before and after the ACC formation as "Greenhouse" and "Icehouse" climate states respectively. One estimate of that formation using neodymium isotope ratios by Scher et al. estimates the opening of the Drake Passage based on ocean mixing to be around 41Ma. Data such as Zachos et al. shows how northern glaciations occured at a time after a robust southern ice cap has been built up and maintained. I hold a MS in Physiology, and have only done some independent study in geology and audited a course in Earth's Climate History and completed one in Physical Oceanography. Long before this, being acquainted with climate swings, I drew an analogy between a mechanism in my field, the excitable membrane action potential conduction mechanism seen most robustly in nerve and muscle tissues to the climate system. In the action potential mechanism, there is a rectification reaction that occurs because sodium and potassium ions are set in opposing gradients accross the plasma membrane, and have selective channel proteins that conduct the two ions with differing time courses so that the fast response sodium causes a change in voltage in one direction called depolarization while the slower response potassium channels cause a voltage change in the opposite direction by virtue of the fact of their opposite gradient. I draw my analogy to the climate system in this manner: Temperature is an analogue for voltage, a greenhouse stimulus that occurs in the atomosphere is an analogue for the sodium response, and an oceanic/cryospheric rectification mechanism is analogous to the potassium response. I of course cannot deny orbital forcing mechanisms that occur on 40Ka, 100Ka, and I believe 20Ka range changes, as has been mentioned here, but I believe another very important part of the equation is the ability of the earth to respond to heating changes, which shows the contrast in response pre-ACC formation, the greenhouse earth, and post-ACC icehouse earth. The time course of cryospheric/oceanic response is on the order of multi-century to millenial, putting it an order of magnitude smaller than the orbital forcings. There is evidence in the fossil record of events that may corroborate this idea. Terms to look for are "Iceberg Armada," "Heinrich Events," "Younger (and Older) Dryas," as well as the "8200 year before present event." I have a while to go to fully quantify this idea, but since the ocean stores about 1000 times as much heat as the atmosphere, it is not absurd to envision the domination of the atmosphere by oceanic responses. It is conceivable that a threshold for the response will be crossed where greatly increased motility of global major glacial masses could lead to a reversal of a warming trend that would include a reversal of the ability of the ocean to absorb CO2. By far the lion's share of ocean is very cold, fed by yearly calving of glaciers at both poles leading to what is known as North Atlantic Deep Water (NADW) and Antarctic Bottom Water (AABW). These masses can represent a very adequate repository for resequestered CO2. I'm still in the "hunch" stage here, but I have posted some of my ideas at http://kayve.net/kayve -
kdkd at 09:56 AM on 13 August 2010On Statistical Significance and Confidence
Sorryast bit should be "response to information loss" -
kdkd at 09:54 AM on 13 August 2010On Statistical Significance and Confidence
BP #40 "Temperature anomaly distribution is usually very far from a Gaussian. Therefore one has to be extremely cautious when applying standard statistical methods" This is only partly true. For reasonable sample sizes parametric statistics are usually good enough. You can assess this with a rule of thumb. If the p value for a parametric test is less than that for the equivalent nonparametric test you can almost always conclude that the pRametrkc test is a reasonable approximation. This is because you are indirectly assesing the response to I formation loss caused by using a nonparametric method -
Doug Bostrom at 09:18 AM on 13 August 2010On Statistical Significance and Confidence
BP I don't think it would fit in the topic of this thread but it would be fun to see what happens if you paint a color spectrum across the distribution and then superimpose those colors as blobs on the station locations. Maybe at the Are surface temperature records reliable? thread (I have no idea what this says about reliability, just seems like the right place to develop more visualization). -
Doug Bostrom at 08:48 AM on 13 August 2010More evidence than you can shake a hockey stick at
JohnD I'm so accustomed to folks arguing against data here that I'm actually struggling to understand what you're saying, trying to interpret your remarks as not somehow being an argument -against- there being more latent heat residing in the atmosphere as a result of it including increased water vapor content. Put more simply, you're not trying to say that -more- water vapor in the air is -not- evidence of increased latent heat in the air, are you? -
Berényi Péter at 08:44 AM on 13 August 2010On Statistical Significance and Confidence
Temperature anomaly distribution is usually very far from a Gaussian. Therefore one has to be extremely cautious when applying standard statistical methods. I show you an example:This is the distribution of monthly temperature anomalies in a 3×3° box containing South-East Nebraska and part of Kansas. There are 28 GHCN stations there which have a full record during the five years long period 1964-68. 42572455002 39.20 -96.58 MANHATTAN 42572458000 39.55 -97.65 CONCORDIA BLO 42572458001 39.13 -97.70 MINNEAPOLIS 42572551001 40.10 -96.15 PAWNEE CITY 42572551002 40.37 -96.22 TECUMSEH 42572551003 40.62 -96.95 CRETE 42572551004 40.67 -96.18 SYRACUSE 42572551005 40.90 -97.10 SEWARD 42572551006 40.90 -96.80 LINCOLN 42572551007 41.27 -97.12 DAVID CITY 42572552000 40.95 -98.32 GRAND ISLAND 42572552001 40.10 -98.97 FRANKLIN 42572552002 40.10 -98.52 RED CLOUD 42572552005 40.65 -98.38 HASTINGS 4N 42572552006 40.87 -97.60 YORK 42572552007 41.27 -98.47 SAINT PAUL 42572552008 41.28 -98.97 LOUP CITY 42572553002 41.77 -96.22 TEKAMAH 42572554003 40.87 -96.15 WEEPING WATER 42572556000 41.98 -97.43 NORFOLK KARL 42572556001 41.45 -97.77 GENOA 2W 42572556002 41.67 -97.98 ALBION 42572556003 41.83 -97.45 MADISON 42574440000 40.10 -97.33 FAIRBURY, NE. 42574440001 40.17 -97.58 HEBRON 42574440002 40.30 -96.75 BEATRICE 1N 42574440003 40.53 -97.60 GENEVA 42574440004 40.63 -97.58 FAIRMONT It looks like this on the map (click on it for larger version):
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johnd at 08:17 AM on 13 August 2010More evidence than you can shake a hockey stick at
CoalGeologist at 06:50 AM, the heat energy absorbed by phase transition extracts heat energy from the surface waters and transfers it into water vapour which then transports it aloft through the atmosphere. Thus that heat energy is then contained in the water vapour component of the atmosphere (until it is given up as the vapour reforms back to water) and as such becomes part of the total heat energy measured as air temperature. Your comment about water vapour % being small, whilst it may be in regards to the atmosphere as a whole, it is THE major component of all those that the heat energy of the atmosphere resides in. Perhaps if you could go back to the basics and quantify how much heat energy resides in each of the individual components that comprise the atmosphere, that would bring the role that the heat energy resident in water vapour has in measured temperatures into perspective. Perhaps a dreaded analogy can help. As steam from a pot of water, being heated by whatever means, circulates within a room, the air temperature of the room rises quite quickly due to the circulation of the heat energy that is contained in the steam. Take away the pot of water, and any moisture content of the air within the room, what components of the air remaining would absorb the heat that continues to be released from the source and would that make any difference to the temperatures measured in the room? -
Doug Bostrom at 07:27 AM on 13 August 2010On Statistical Significance and Confidence
Could I dare suggest that it looks cyclical - if not a bit sinusoidal?? It has pleasingly smooth curves superimposed on it because of the mathematical treatment and visualization, combined with varying slope. Suggesting it's sinusoidal is indeed daring, some might say even reckless. -
Doug Bostrom at 07:21 AM on 13 August 20101934 - hottest year on record
What your references have in common Broadlands is that they're all at least 34 years old. You've not addressed the questions I asked about what you think is wrong with each of the specific corrections Peter Hogarth pointed you to. Earlier you said, I believe you may have missed a point too... the NCDC-NOAA has systematically lowered the early Weather Bureau records." That sounds really terrible on its face but it's not new information, the NCDC is quite open about what adjustments they do and why. Then you said, "The winter months have been lowered more the summer months...every time. It would be absurd to think that some sort of conspiracy has taken place but some plausible explanation should be available for this consistent trend. Indeed, and Peter Hogarth pointed you to answers, but you're still working from the perspective of mystification with regard to why those corrections are done. If you have a problem with corrections and adjustments, be specific. Show how the meteorologists are wrong. Doubt is not an argument.
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