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NOAA: Global Warming 'Pause' Never Happened
Taco Cowboy writes: The whole global warming debate is as confusing as ever. Researchers from the U.S. National Oceanographic and Atmospheric Administration (NOAA) have published a new study in Science saying there was no "pause" in global warming. Dr. Thomas Karl points out that the warming rate over the past 15 years is "virtually identical" to warming over the last century, and updated observations show temperatures did not plateau.
"The idea of a global warming 'hiatus' arose from questions over why the trend of warming temperatures appeared to be stalling recently compared to the later part of the 20th century. ... The new analysis corrects for ocean observations made using different methods as well as including new data on surface temperatures."
"According to the Intergovernmental Panel on Climate Change (IPCC), global average temperatures have increased by around 0.05C per decade in the period between 1998 and 2012. This compares with an average of 0.12 per decade between 1951 and 2012. The new analysis suggests a figure of 0.116 per decade for 2000-2014, compared with 0.113 for 1950-1999."
"The idea of a global warming 'hiatus' arose from questions over why the trend of warming temperatures appeared to be stalling recently compared to the later part of the 20th century. ... The new analysis corrects for ocean observations made using different methods as well as including new data on surface temperatures."
"According to the Intergovernmental Panel on Climate Change (IPCC), global average temperatures have increased by around 0.05C per decade in the period between 1998 and 2012. This compares with an average of 0.12 per decade between 1951 and 2012. The new analysis suggests a figure of 0.116 per decade for 2000-2014, compared with 0.113 for 1950-1999."
I worked with the group who built and operated the optical sensor which discovered the hole in the ozone. Except that they didn't know they had. Every time the sensor took optical data over the poles there was an "anomaly" in the data and they got uncharacteristically low numbers. For three years, this was written off as an unexplained anomaly when viewing down towards the polar ice. Until they looked up from below and found out that there really was no ozone there. Going back to the old data resulted in a fairly large change to the interpretation of the existing data which had been thrown out as unexplained.
Science learns as it goes.
Is it just my observation, or are there way too many stupid people in the world?
The new "analysis" deliberately tampered with data for this very purpose:
New climate data by NOAA scientists doubles the warming trend since the late 1990s by adjusting pre-hiatus temperatures downward and inflating temperatures in more recent years.
There have been some accusations that the data is being 'massaged' to get to a specific result:
https://stevengoddard.wordpres...
-Styopa
While I personally believe in man-made global warming, this sort of thing makes it hard to argue with someone who claims the researchers are just massaging the data until it shows what they think it should show.
Sure. And we could go on emitting CO2 like it is nobodies business, and maybe wreck this earth. That would be evidence, but not proof, that climate change is man made. For proof you would want to wreck at least 3 earth, and have another 3 control earth that are just fine without humans.
Hell, I'd be happy if these jokers could even manage a partial rebuttal.
Science reporting is garbage these days. Dave Jones just did a rebuttal to the "Batteriser" that a whole lot of otherwise respected media outlets are running... as he says any competent EE can tell you loads of ways the Batteriser is 99.999% marketing spin. It's still everywhere and loads of people buy that bullshit.
Explaining global warming is much more complicated than debunking the Batteriser, so if Batteriser demonstrates our current level of competence in reporting something, we've got no F-ing chance at all of getting the real story with global warming to the general public.
The fact that 95% of competent scientists in that field agree should be good enough. Marketing BS by people whose interests are affected by the results of the science apparently don't even have to try that hard to convince a lot of people the science is somehow contested.
Put it this way... I'd bet there are plenty of people that would be skeptical if 95% of competent EEs stood up to say Batteriser is trash, claiming conflicts of interest with some "establishment" or "group think".
A person is smart. People are stupid.
Actually, there is a fairly simple solution that can be done in a couple of decades, and has the bonus side effect of producing megatons of food in some of the more impoverished regions of the world. The trick is to convert semi-arid and arid grasslands into productive grazing lands for herbivores by using Managed Intensive Rotational Grazing which is described in detail (with stunning before/after photos) by Allan Savory in this TED Talk.
In a nutshell: MIRG simulates the "mobbing, mowing, and moving" behavior of large herds of herbivores in nature, where herds "mob together" for protection from predators, and move constantly to find fresh pasture. Following in their wake is a swath of "disturbed" pasture, which has just been aerated by hoof prints and fed with a rich load of fertilizer. This spurs a blaze of regrowth in the grasses, which replaces root mass which had earlier been shed (many plants shed root mass when cropped, to preserve the root-shoot ratio). Thus, every time herbivores graze a piece of land, they sequester a large amount of carbon into the soil, and actually increase the health and the depth of the topsoil.
Obviously, there's quite a bit more to this story, including earthworks to harvest and retain water, permaculture design to optimize ecosystem health and productivity, etc. But hopefully this will be enough to get the gears turning...
XML is like violence. If it doesn't solve your problem, you're not using enough of it. --AC
The primitive equations which are used to model atmospheric flows basically ignore charge change phenomena.
Lol, this is crank science ... do me a favor 1) write navier stokes equations in energy form 2) add joule heating term 3) do order of mangitude analysis under liberal and conservative assumptions. 4) discard joule heating after realizing its negligible by about by 5 orders of magnitude. Or look up all the papers in the 1950s and 1960s that published on this. Yeah thanks for playing, you idiot clown.
"potentially moving fertile crop zones hundreds of miles"
It is always bemusing to see people think that because global warming will create higher temperatures in previously colder places that food crops can simply be grown in these newly warmed environments. The fact is that much of the reason food crops grow where they do in addition to evolutionary adaptation to specific habitats, is the fact that sufficient moisture and adequate quality soils are also available. Good quality soils can take hundreds or even thousands of years to develop. Many high latitude environments have very poor soils, often having been scoured by glaciers for thousands of years. Likewise, flowering and consequently pollination is affected by day/night length as well as by temperature, so simply because high latitude environments may become warm enough for crops to grow doesn't mean that flowering or pollination will be possible in these newly warmed environments.
The threat from human induced global warming is not simply that humans are warming the planet by burning fossil fuels, but rather very much about how fast we are warming the planet. We are currently warming the planet between 100 and 1000 times faster than would occur naturally and as a consequence we are disrupting the very ecological relationships upon which humans depend for their survival. Although its probably true that a few humans will survive and linger in the kind of Mad Max world we are creating for current and subsequent generations, but the vast majority of humanity is already on the road to extinction within a few hundred years at the current rate of change.
A little understanding goes a long way to dispelling and preventing the spread of myths and misinformation: http://www.slate.com/blogs/bad...
Even more, playing devil’s advocate, the scientists tried to force their data to show them a hiatus; they redid the calculations starting in 1998, as so many deniers have done. The result? The warming from 1998 – 2014 is 0.106 C per decade. It’s still there.
The corrections they applied have to do with the way sea surface temperatures were taken; the method has changed over time, and that introduces biases into the data. The good thing though is that new methods, new understanding of the nature of data measurement, allow scientists to go back and re-examine older data and apply corrections to it.
Different measurement methods have their own inherent biases. They went back through the data AND ITS SOURCES and found that some of the data believed to be from buoys was from engine intakes, and some from intakes was from buoys, and some was from the really old fashioned method of "haul up a bucket of water and measure it".
All corrections are about canceling out those inherent biases so that everything starts from the same baseline.
The guy who said the election was rigged won the presidency with the second-most votes.
its not calibration like you are thinking (I am a calibration technician), ie, metrology (NOT meteorology!).
the buoys weren't "wrong".
its not that the buoys were miscalibrated as to the accuracy of the instruments (metrology).
its that the dataset as a whole was "miscalibrated" as relates to the inherent differences in results from different methodologies of measurement. it's a statistical error, not a metrological one.
you can measure the same location in one of 3 typical ways:
-buoys
-engine intake
-bucket (ie, drop a bucket, haul it up, and measure the water inside)
Each has its own inherent (built in) factors that cause the same readings from the same place at the same time, but taken with different methods, to measure slightly differently. The corrections to the dataset seek to remove and cancel out these differences.
and when the measurement is taken they don't JUST write down the reading taken, but the local conditions at the time (sunny? cloudy? windy?), the type of measurement taken and method used, the instrument used, the location of the instrument (on a hill? in the shade?), etc. and all of that additional information is recorded PRECISELY BECAUSE of the desire to eliminate inherent differences so that every measurement conforms to the same baseline.
The guy who said the election was rigged won the presidency with the second-most votes.