by Ron Clutz, May 8, 2018 in ScienceMatters
Years ago, Dr. Roger Pielke Sr. explained why sea surface temperatures (SST) were the best indicator of heat content gained or lost from earth’s climate system. Enthalpy is the thermodynamic term for total heat content in a system, and humidity differences in air parcels affect enthalpy. Measuring water temperature directly avoids distorted impressions from air measurements. In addition, ocean covers 71% of the planet surface and thus dominates surface temperature estimates.
More recently, Dr. Ole Humlum reported from his research that air temperatures lag 2-3 months behind changes in SST. He also observed that changes in CO2 atmospheric concentrations lag behind SST by 11-12 months. This latter point is addressed in a previous post Who to Blame for Rising CO2?
by Javier, April 26, 2018 in WUWT
It is a well-known feature of climate change that since 1850 multiple climate datasets present a ~ 60-year oscillation. I recently wrote about it in the 7th chapter of my Nature Unbound series. This oscillation is present in the Atlantic Multidecadal Oscillation (AMO), Arctic Oscillation (AO), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), Length of Day (LOD), and Global (GST) and Northern Hemisphere (NHT) temperatures, with different lags.
To me this oscillation is not a cycle because prior to 1850 it had a more variable period and it is not well identified in LIA records. Since the origin of this oscillation is unknown, models have a hard time reproducing it and it is all but ignored by the IPCC. It is a big oscillation with an amplitude of ± 0.3 °C in NHT (0.1-0.2°C in GST; figure 2). While the long-term temperature trend is unaffected by it, there is a large effect on the 30-year trends. If this oscillation is considered, most of the climate alarmism vaporizes.
by Eric Worrall, April 11, 2018 in WUWT
Yesterday’s “The Day After Tomorrow” climate explainer’s excuse for cold winters is back – research suggests that the North Atlantic current is weaker than anytime for the last 1000 years (…)
by Ron Clutz, March, 2018 in ScienceMatters
The best context for understanding decadal temperature changes comes from the world’s sea surface temperatures (SST), for several reasons:
- The ocean covers 71% of the globe and drives average temperatures;
- SSTs have a constant water content, (unlike air temperatures), so give a better reading of heat content variations;
- A major El Nino was the dominant climate feature in recent years.
HadSST is generally regarded as the best of the global SST data sets, and so the temperature story here comes from that source, the latest version being HadSST3. More on what distinguishes HadSST3 from other SST products at the end.
by Tony Heller, March 27, 2018 in CimateChangeDispatch
The key to understanding this can be found in the 2004 Smithsonian article. The Tuvalu story (like everything else with global warming) has always been about left-wing politics and money, not science.
But not all scientists agree that Tuvalu’s future is underwater. Some critics have branded island leaders as opportunists angling for foreign handouts and special recognition for would-be “environmental refugees” who, they say, are exploiting the crisis to gain entry to New Zealand and Australia. Others have even said that people and organizations sympathetic to Tuvalu are “eco-imperialists” intent on imposing their alarmist environmental views on the rest of the world.
And of course the same fake story in the Maldives, which were supposed to be underwater by 2018.
by A. Cockroft, February 24, 2018 in WUWT
Firstly let me say that I am not one of the most technical writers you will see here. I regard myself pretty much as a layman despite studying Geology, Mathematics and Computer Science at University.
So you won’t find all the references to papers (well not many), nor exact scientific formulae. I simply write what I have logically deduced. For any who disagree, or have value to add, please use the Comments below.
So my stance is “SO WHAT”!
by UC San Diego, January 4, 2018
There is a new way to measure the average temperature of the ocean thanks to researchers at Scripps Institution of Oceanography at the University of California San Diego. In an article published in the Jan. 4, 2018, issue of the journal Nature, geoscientist Jeff Severinghaus and colleagues at Scripps Oceanography and institutions in Switzerland and Japan detailed their ground-breaking approach.
by Janes E Kamis, January, 27 in CliateChangeDispatch
The 2014-2017 El Nino “warm blob” was likely created, maintained, and partially recharged on two separate occasions by massive pulses of super-heated and chemically charged seawater from deep-sea geological features in the western North Pacific Ocean. This strongly supports the theory all El Ninos are naturally occurring and geological in origin. Climate change / global warming had nothing to do with generating, rewarming, intensifying, or increasing the frequency of the 2014-2017 El Nino or any previous El Nino.
If proven correct, this would revolutionize climatology and key aspects of many interrelated sciences such as oceanography, marine biology, glaciology, biogeochemistry, and most importantly meteorology. Information supporting a geological origin of El Ninos is diverse, reliable, and can be placed into five general categories as follows: (…)
See also here
by K Richard, September 11, 2017 in NoTricksZone
Contrary to expectations, climate scientists continue to report that large regions of the Earth have not been warming in recent decades.
According to Dieng et al. (2017), for example, the global oceans underwent a slowdown, a pause, or even a slight cooling trend during 2003 to 2013. This undermines expectations from climate models which presume the increase in radiative forcing from human CO2 emissions should substantially increase ocean temperatures.
The authors indicate that the recent trends in ocean temperatures “may just reflect a 60-year natural cycle“, the AMO (Atlantic Multidecadal Oscillation), and not follow radiative forcing trends.
by T Laepple and P Huybers, July 14, 2014 in PNAS
Determining magnitudes of sea surface temperature variability is important for attributing past and predicting future changes in climate, and generally requires the use of proxies to constrain multidecadal and longer timescales of variability. We report a multiproxy estimate of sea surface temperature variability that is consistent between proxy types and with instrumental estimates but strongly diverges from climate model simulations toward longer timescales. At millennial timescales, model−data discrepancies reach two orders of magnitude in the tropics, indicating substantial problems with models or proxies, or both, and highlighting a need to better determine the variability of sea surface temperatures.
by P Gosselin, December 15, 2017 in NoTricksZone
Geologist Dr. Norman Page left a comment which I’ve decided to upgrade to a post. In it he writes solar and La Nina observations fit well with his recent paper showing that climate is controlled by natural orbital and solar activity cycles.
Dr. Page is among a growing number of scientists who share the general view that natural solar and oceanic cycles are mostly driving the climate, just as they always have in the past.
by Dr. Sebastian Lüning and Prof. Fritz Vahrenholt, November 15, 2017 in NoTricksZone
After a peak in 2012 the level went down by about 10 cm by mid 2017. It is very much related to natural variations, in sync with the El Ninos (low levels) and La Ninas (high levels).
So what remains of the climate change horror stories in connection to the Fiji Islands? (…)
by Winder M. et al., 2017 in Limnology and Oceanography (CO2Science) November 15, 2017
(…) And commenting on this latter finding, they acknowledge that “this is an important component of the biological pump and may contribute to CO2 removal from the atmosphere, mitigating anthropogenic increase in greenhouse gases.”
by Ron Clutz, November 8, 2017, in ClimateChangeDispatch
The graph [after the jump] is noisy, but the density is needed to see the seasonal patterns in the oceanic fluctuations. Previous posts focused on the rise and fall of the last El Nino starting in 2015.
This post takes a longer view, encompassing the significant 1998 El Nino and since. The color schemes are retained for Global, Tropics, NH and SH anomalies.
Despite the long time frame, I have kept the monthly data (rather than yearly averages) because of interesting shifts between January and July.
by Deming Kong et al., November 30, 2017 in Quaternary International
High-resolution surface temperature records over the last two millennia are crucial to understanding the forcing and response mechanism of Earth’s climate. Here we report a bidecadal-resolution sea surface temperature (SST) record based on long-chain alkenones in a gravity sediment core retrieved from the northern South China Sea. SST values varied between 26.7 and 27.5 °C, with a total variability ∼1 °C over the last 2000 years.