UPDATE: Cyclone Ita is now Category 5 bearing down on Cooktown in North Queensland, the radars will show it soon. 175km NNE of Cooktown. Winds up to 300km /hr. 931 hPa. See The BOM warnings. Thoughts for those in the path. (It’s clearly visible in the satellite image on the radar link).
A new paper by Andrew Dowdy tells us that from 1980 to 2013 the incidence of tropical cyclones around Australia has been falling. If CO2 is influencing cyclones around Australia, presumably this implies we should burn more coal.
Those convinced about the power of CO2 will point out that the models predict an increase in intensity, not frequency. To that end, I say: see the BOM graph below. Note the red bars marked “severe”. Then tell yourself that the science is settled and we should spend billions to change those trends. The BOM say “the number of severe tropical cyclones (minimum central pressure less than 970 hPa) shows no clear trend over the past 40 years.”
Interestingly Callaghan et al 2010 goes back all the way to 1870. It finds the trend of severe land-falling cyclones has fallen by a whopping [...]
I decided that the IPCC Impacts report was irrelevant speculation because it utterly depended on the IPCC science report and the climate models which we already know are wrong. But the dedicated team at NIPCC show that, even if we take the claims of “impacts” working group seriously, they still come to nothing. Atmospheric CO2 is not a pollutant, there is little risk of famine due to our emissions or due to global warming. Life in the oceans is likely to adapt reasonably well as so many studies have shown, and less humans will die overall as a bonus. For those of you who enjoy well written, well researched arguments, and especially if you are looking for scientific references and the nuance of this debate, there is much to learn. The NIPCC reports are an invaluable reference for me. Careful scientific language is so much more informative than the full-gloss IPCC double-speak about theories which are consistent with uncertainties but not with observations – Jo
Report Finds Global Warming Causes ‘No Net Harm’ to Environment or Human Health Independent review of climate science contradicts “alarmist” views of United [...]
A new paper (Moffa-Sánchez et al) reports that they looked at layers of dead plankton in ocean mud (otherwise known as foraminifera in marine sediments) and have reconstructed the temperature and salinity of a couple of spots in the North Atlantic between 818AD – 1780 with data on δ18O and the Mg/Ca ratios. One immediate thought, an aside, is that if this technique works, there is no shortage of ocean mud, surely, and perhaps we could drill and analyze more mud for solar correlations in other places. (I hear foraminifera live in the Southern Hemisphere too). Perhaps no one is looking for the connection with the sun?
Moffa-Sánchez et al find the big climate shifts (the 100-year variations) correlate with total solar irradiance (TSI). See especially that orange line black line track in the d graph below. I stress, correlations don’t mean causation and the mechanism is mere speculation. But I find the graph intruiging. There are a lot of turning points, and in pure “curve fitting” type of analysis, this is a better curve fit than the one with CO2. (Find me a turning point that matches with carbon dioxide!) I suspect we’ll be referring back to this paper, and I [...]
A new paper shows that sea levels rose faster in the ten years from 1993-2003 than they have since. Sea levels are still rising but the rate has slowed since 2004. This does not suggest that the missing energy from the atmosphere has snuck into the ocean, but rather that the oceans and the atmosphere were both warming faster in the 1990′s, then as coal power ramped up in China and billions of tons of CO2 was released, both the atmosphere and the ocean did not gain more energy per year, but less. That message again — something else appears to be the main driver the climate, not CO2.
Their highlights include:
The global mean sea level started decelerated rising since 2004. Deceleration is due to slowdown of ocean thermal expansion during last decade. Recent ENSO events introduce large uncertainty of long-term trend estimation.
This paper discusses and graphs total sea level rise, steric sea level rise and the global mean ocean mass. The Steric Sea Level is the part of the rise due to warming and salinity changes, so it best represents changes in ocean heat content. The total rise also includes water coming or going due to changes [...]
Rosenthal et al have put out quite a humdinger of a paper. They’ve reconstructed the temperature of the water flowing out of the Pacific to the Indian Ocean over the last 10,000 years and as deep as 900m. The Indonesian Throughflow is pretty significant in global ocean currents. There’s narrow routes for Pacific upper waters to squeeze through to the Indian Ocean through the Makassar and Lombok Straits, and via the Lifamatola Passage through the Banda Sea, and water comes in from both the North and South Pacific.
An important point in global ocean currents where the Pacific flows through to the Indian Ocean.
Points to note (assuming the study is right):
Temperatures started rising around 1700AD – long before our carbon emissions. That temperatures were much warmer (0.65C) in 1100AD than they were in 1950. 8,000 years ago water was 1.5 to 2 degrees warmer — isn’t that meant to be a global catastrophe? Apparently coral reefs, fish, and turtles survived.
Figure 4. Holocene changes in Pacific Ocean heat content. (A) Reconstructed anomalies in Pacific OHC in the 0- to 700-m depth interval for the early Holocene, mid-Holocene, MWP, and LIA periods. Reconstructed anomalies are calculated relative [...]
A team of researchers looked at the solar influence on Southern Hemisphere Westerly Winds (SWW). These winds influence rainfall patterns and ocean currents in the Southern Hemisphere. Varma et al infer rainfall patterns by looking at iron deposits in marine sediments near Chile, which are apparently higher during drier conditions and lower during wetter times. They compared these to both Beryllium (10Be) and Carbon-14 (14C) which they use to estimate solar activity.
The end result is they find that the westerly winds shift northwards towards the equator during lower solar activity, and conversely move southwards towards the poles during higher solar activity. The shifting wind patterns move the rainfall. An effect is apparent in records for the last 3,000 years.
In graph a below, 10Be (solar activity) and Fe (rainfall) have a decent correlation coefficient (r) of 0.45, while the 14C (solar activity) and Fe (rainfall) correlation in b has a lower correlation (r) of 0.21. Varma et al say:
“the large correlation coefficient for 10Be would suggest that ca. 20% (i.e., r2) of late Holocene rainfall and hence SWW variability could be attributable to solar forcing.”
They conclude that the current models don’t give the sun a large [...]
“…the role of the Sun is one of the largest unknowns in the climate system”
Meteorologists are already aware that changes in the interplanetary magnetic field (IMF) can affect the polar regions of Earth. Now, for the first time Lam et al report the magnetic field appears to influence atmospheric pressure in the mid latitudes. Lam compared the average surface pressure at times when the magnetic field is either very strong or very weak and found a statistically significant wave structure similar to an atmospheric Rossby wave. They claim to show that this works through a mechanism that is a conventional meteorological process, and that the effect is large enough to influence weather patterns in the mid-latitudes. The size of the effect is similar to “initial analysis uncertainties” in “ensemble numerical weather prediction” (which I take to mean “climate models”).
They are suggesting that small changes in this solar influence on the upper atmosphere could produce important changes through “non-linear evolution of atmospheric dynamics”.
Jo suggests that IPCC-favoured climate models don’t include any solar magnetic effect at all, which is just one of many reasons why they don’t work.
The large scale wandering convolutions of the jet stream [...]
Finally climate scientists are starting to ask how the models need to change in order to fit the data. Hans von Storch, Eduardo Zorita and authors in Germany pointedly acknowledge that even at the 2% confidence level the model predictions don’t match reality. The fact is, the model simulations predicted it would get warmer than it has from 1998-2012. Now some climate scientists admit that there is less than a 2% chance that the models are compatible with the 15-year warming pause, according to the assumptions in the models.
In a brief paper they go on to suggest three ways the models could be failing, but draw no conclusions. For the first time I can recall, the possibility that the data might be wrong is not even mentioned. It has been the excuse du jour for years.
Note in the chart that while the 10 year “pause” passed the basic 5% test of statistical significance, by 13 years, the pause was so long that only 2% of CMIP5 or CMIP3 models simulations could be said to agree with reality. By 16 years that will be 1% of simulations. If the pause continues for 20 years, there would be “zero” [...]
This beautiful graph was posted at Roy Spencer’s and WattsUp, and no skeptic should miss it. I’m not sure if everyone appreciates just how piquant, complete and utter the failure is here. There are no excuses left. This is as good as it gets for climate modelers in 2013.
John Christy used the best and latest models, he used all the models available, he has graphed the period of the fastest warming and during the times humans have emitted the most CO2. This is also the best data we have. If ever any model was to show the smallest skill, this would be it. None do.
Scores of models, millions of data-points, more CO2 emitted than ever before, and the models crash and burn. | Graph: John Christy. Data: KMNI.
Don’t underestimate the importance of the blue-green circles and squares that mark the “observations”. These are millions of radiosondes, and two independent satellite records. They agree. There is no wiggle room, no overlap.
Any sane modeler can only ask: “But how can the climate modelers pretend their models are working?” Afterall, predicting the known past with a model is not-too-hard; the modeler tweaks the assumptions, fiddles with the fudge [...]
Image by Luc Viatour www.Lucnix.be
The Moon has such a big effect — moving 70% of the matter on the Earth’s surface every day, that it seems like the bleeding obvious to suggest that just maybe, it also affects the air, the wind, and causes atmospheric tides. Yet the climate models assume the effect is zero or close to it.
Indeed, it seems so obvious, it’s a “surely they have studied this before” moment. Though, as you’ll see, the reason lunar effects may have been ignored is not just “lunar-politics” and a lack of funding, but because it’s also seriously complex. Keep your brain engaged…
Ian Wilson and Nikolay Sidorenkov have published a provocative paper, Long-Term Lunar Atmospheric Tides in the Southern Hemisphere. It’s an epic effort of 14,000 words and a gallery of graphs. As these atmospheric tides swirl around the planet they appear to be creating standing waves of abnormal air-pressure that slowly circle the planet, once every 18 years. If this is right, then it could be the key to finally understanding, and one day predicting, the mysterious Pacific ENSO pattern that so affects the global climate. Even at this early stage, brave predictions are on [...]
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