The Antarctic freezing trend has not been captured well by climate models. So scientists have been trying to understand why planetary warming has not melted Antarctic sea ice like it has in the Arctic. In the new study, Son Nghiem, a researcher with NASA's Jet Propulsion Laboratory, evaluated satellite data to zero in on an answer.
"The polar sea ice paradox is really a challenge for the science community," Nghiem said. The big difference between his research and prior studies is that the findings are based on observations and measurements, rather than modeling, he said.
"One has to say that Arctic sea ice is completely different from Antarctic sea ice, which almost melts completely back each summer," said Lars Kaleschke, an ice researcher with the Center for Earth System Research and Sustainability at the University of Hamburg. "The processes of ice formation are completely different.
"The climate models do not get it right at this point," Kaleschke said. "The models project a decrease of Antarctic sea ice, which is in contrast with observations."
This is fair, I'll have to admit some predictive elements. My primary intervention here is that science facts are entirely different than science fiction. The predictive , or extrapolative, elements of science fiction aren't what we find in actual (or "normal") science. You used the word "projections," and that's much more appropriate. Too many people see normal science as predominantly speculative.
Also, there has been inaccuracy in some models because this is a live phenomenon; it's happening as we speak. That's not a reason to deny climate change, the evidence for which is everywhere. It's a reason to keep pitching models and see how close the actual climate adheres to the models we create, in the hope that we might better approximate climate systems, which are immensely complex. Accuracy in computer simulations for a global system that comprises every kind of terrestrial ecosystem (including underwater ecosystems, as you mention above) is no simple endeavor.
I realize their are inaccuracies in the modeling, but the Muir Glacier is an observable phenomenon. It's not as though it grows and shrinks each year or something. It's been receding for half a century. Could be it's part of a natural cycle and unrelated to human impact, but that doesn't mean it isn't an example of climate change.
It's impacting the mixture of freshwater and seawater, for example, and affects what kind of animals can migrate into the region. It's a clear example of change, regardless of origin or cause.
havent heard of this oneand the spread of certain tropical diseases.
But your problem with climate science research is that it's based on statistics?
havent heard of this one
sounds like the confidence in their theories than actual evidence based predictions
Climate scientists absolutely have evidence based predictions.
Trying really hard not to jump in on this. But your problem with climate science research is that it's based on statistics? How do you think other fields of science operate?
Climate scientists absolutely have evidence based predictions. Multiple satellites circle the globe nonstop providing a stream of climate data from above on everything from temperature to chemical breakdown of the atmosphere. There are also ground based measurements at weather centers around the world, and even mid atmosphere measurements through weather balloons and airplanes. The data can be checked and cross checked from multiple sources, and is, daily.
Yea, im pretty sure his response was geared towards me.
Did you read my post? I have no problem with statistics and data gathering and the presentation of what is known. I have worked as a scientist in a molecular biology lab and am familiar enough with data analysis. Im also familiar enough with data smudging, faulty statistical analyses
(the whole p-value dilemma), and presenting data with the means to persuade.
Im not doubting the data gathering aspect of climate measurements either. The data is real, but unfortunately the data set (longevity-wise) is lacking. Making definitive conclusions about mankind's direct impact on the environment based on the small data set should not be possible, but the conclusions and theories of these scientists have become practically canonized as fact. The researcher's bias is strong in this field, especially when it comes to predictions and statistical analysis.
I jumped off the the 'climate crisis' bandwagon once I saw how hyperbolic all of the predictions and claims of ~15 years ago ended up being. I prefer to take the stance of the skeptic since things have become so damn politicized.
Sea levels are already rising. Climate change is already happening. In fact, it's always happening.
That's one of the things people don't get, they think climate change is this thing that might happen. No, it's happening now.