Tag: climate change

Do Scientists Suppress Uncertainty in the Climate Change Debate?

Ever wonder about the neutrality (or lack thereof) of scientists investigating the subject of global warming? Does it seem that far too many of them eagerly sound alarm bells when it comes to documenting and communicating the potential consequences of human-induced climate change to the public? Well, that little voice inside your head telling you something is awry appears to be vindicated based on new research published in the journal Public Understanding of Science.

In an article that is both enlightening and damning at the same time, Senja Post (2016) set out to investigate the “ideals and practices” of German scientists in communicating climate change research findings to the public. Post accomplished her objective by conducting and analyzing a representative survey of German scientists holding the academic rank of full professor and who were actively engaged in climate change research. Altogether, 300 such scientists were identified and invited to participate in her survey, and 42 percent of them responded with a completed questionnaire in which they were queried about “various aspects of climate change, their attitudes toward publicly communicating scientific uncertainty, and their media relations.”

According to Post, the results of her survey indicated that “the more climate scientists are engaged with the media the less they intend to point out uncertainties about climate change and the more unambiguously they confirm the publicly held convictions that it is man-made, historically unique, dangerous and calculable.” Similarly, the more scientists were convinced of the alarmist narrative that rising atmospheric CO2 is causing dangerous climate change, the more they worked with the media to disseminate that narrative. Post’s survey also revealed that “climate scientists object to publishing a result in the media significantly more when it indicates that climate change proceeds more slowly rather than faster than expected,” which finding, in her words, “gives reason to assume that the German climate scientists are more inclined to communicate their results in public when they confirm rather than contradict that climate change is dramatic.”

Such findings are saddening and shameful, highlighting a near-ubiquitous bias among climate scientists (at least in Germany) who willfully suppress the communication of research findings and uncertainties to the public when they do not support the alarmist narrative of CO2-induced global warming. Such deceit has no place in science.

 

Reference

Post, S. 2016. Communicating science in public controversies: Strategic considerations of the German climate scientists. Public Understanding of Science 25: 61-70.

Going to Extremes: Federal Climatologist Slams Alarmist Federal Climate Report

Global Science Report is a weekly feature from the Center for the Study of Science, where we highlight one or two important new items in the scientific literature or the popular media. For broader and more technical perspectives, consult our monthly “Current Wisdom.”

Second only to incidences of high temperature, supporters of government action to restrict energy choice like to say “extreme” precipitation events–be they in the form of rain, sleet, snow, or hail falling from tropical cyclones, mid-latitude extratropical storms, or summer thunderstorm complexes–are evidence that greenhouse gas emissions from human activities make our climate and daily weather worse.

The federal government encourages and promotes such associations. Take, for example, the opening stanzas of its 2014 National Climate Assessment: Climate Change Impacts in the United States, a document regularly cited by President Obama in support of his climatic perseverations:

This National Climate Assessment concludes that the evidence of human-induced climate change continues to strengthen and that impacts are increasing across the country.

Americans are noticing changes all around them. Summers are longer and hotter, and extended periods of unusual heat last longer than any living American has ever experienced. Winters are generally shorter and warmer. Rain comes in heavier downpours.

President Obama often calls out the extreme rain meme when he is running through his list of climate change evils. His Executive Order “Preparing for the Impacts of Climate Change,” includes:

The impacts of climate change – including…more heavy downpours… – are already affecting communities, natural resources, ecosystems, economies, and public health across the Nation.

So, certainly the science must be settled demonstrating a strong greenhouse-gas altered climate signal in the observed patterns of extreme precipitation trends and variability across the United States in recent decades, right?

Wrong.

Four Centuries of Spring Temperatures in Nepal

In the past two decades, much scientific research has been conducted to examine the uniqueness (or non-uniqueness) of Earth’s current climate in an effort to discern whether or not rising atmospheric CO2 concentrations are having any measurable impact. Recent work by Thapa et al. (2015) adds to the growing list of such studies with respect to temperature.

According to this team of Nepalese and Indian researchers, the number of meteorological stations in Nepal are few (particularly in the mountain regions) and sparsely distributed across the country, making it “difficult to estimate the rate and geographic extent of recent warming” and to place it within a broader historical context. Thus, in an attempt to address this significant data void, Thapa et al. set out “to further extend the existing climate records of the region.”

The fruits of their labors are shown in the figure below, which presents a nearly four-century-long (AD 1640-2012) reconstruction of spring (Mar-May) temperatures based on tree-ring width chronologies acquired in the far-western Nepalese Himalaya. This temperature reconstruction identifies several periods of warming and cooling relative to its long-term mean (1897-2012). Of particular interest are the red and blue lines shown on the figure, which demark the peak warmth experienced during the past century and the temperature anomaly expressing the current warmth, respectively. As indicated by the red line, the warmest interval of the 20th century is not unique, having been eclipsed four times previous (see the shaded red circles) in the 373-year record – once in the 17th century, twice in the 18th century and once in the nineteenth century. Furthermore, the blue line reveals that current temperatures are uncharacteristically cold. Only two times in the past century have temperatures been colder than they are now!

Figure 1. Reconstructed spring (March-May) temperature anomalies of the far western Nepal Himalaya, filtered using a smoothing spline with a 50 % frequency cut off of 10 years. The red line indicates the peak temperature anomaly of the past century, the blue line indicates the current temperature anomaly, the shaded red circles indicate periods in which temperatures were warmer than the peak warmth of the past century, and the shaded blue circles indicate periods during the past century that were colder than present. Adapted from Thapa et al. (2015).

Figure 1. Reconstructed spring (March-May) temperature anomalies of the far western Nepal Himalaya, filtered using a smoothing spline with a 50 % frequency cut off of 10 years. The red line indicates the peak temperature anomaly of the past century, the blue line indicates the current temperature anomaly, the shaded red circles indicate periods in which temperatures were warmer than the peak warmth of the past century, and the shaded blue circles indicate periods during the past century that were colder than present. Adapted from Thapa et al. (2015).

In light of the above facts, it is clear there is nothing unusual, unnatural or unprecedented about modern spring temperatures in the Nepalese Himalaya. If rising concentrations of atmospheric CO2 are having any impact at all, that impact is certainly not manifest in this record.

 

Reference

Thapa, U.K., Shah, S.K., Gaire, N.P. and Bhuju, D.R. 2015. Spring temperatures in the far-western Nepal Himalaya since AD 1640 reconstructed from Picea smithiana tree-ring widths. Climate Dynamics 45: 2069-2081.

 

The Current Climate of Extremes

What a day yesterday! First, our National Oceanic and Atmospheric Administration (NOAA) announced that 2015 was the warmest year in the thermometric, and then the Washington Post’s Jason Samenow published an op-ed titled “Global warming in 2015 made weather more extreme and it’s likely to get worse.”

Let’s put NOAA’s claim in perspective.  According to Samenow, 2015 just didn’t break the previous 2014 record, it “smashed” (by 0.16°C).  But 2015 is the height of a very large El Niño, a quasi-periodic warming of tropical Pacific waters that is known to kite global average surface temperature for a year or so. The last big one was in 1998.  It, too set the then-record for warmest surface temperature, and it was (0.12°C) above the previous year, which, like 2014, was the standing record at the time. 

So what happened in 2015 is what is supposed to happen when an El Niño is superimposed upon a warm period or at the end year of a modest warming trend.  If it wasn’t a record-smasher, there would have to be some extraneous reason why, such as a big volcano (which is why 1983 wasn’t more of a record-setter).

El Niño warms up surface temperatures, but the excess heat takes 3 to 6 months or so to diffuse into the middle troposphere, around 16,000 feet up.  Consequently it won’t fully appear in the satellite or weather balloon data, which record  temperatures in that layer, until this year.  So a peek at the satellite (and weather balloon data from the same layer) will show 1) just how much of 2015’s warmth is because of El Niño, and 2) just how bad the match is between what we’re observing and the temperatures predicted by the current (failing) family of global climate models.

On December 8, University of Alabama’s John Christy showed just that comparison to the Senate Subcommittee on Space, Science, and Competitiveness.  It included data through November, so it was a pretty valid record for 2015 (Figure 1).

Figure 1. Comparison of the temperatures in the middle troposphere as projected by the average of a collection of climate models (red) and several different observed datasets (blue and green). Note that these are not the surface temperatures, but five-year moving average of the temperatures in the lower atmopshere.

El Niño’s warmth occurs because it suppresses the massive upwelling of cold water that usually occurs along South America’s equatorial coast.  When it goes away, there’s a surfeit of cold water that comes to the surface, and global average temperatures drop.  1999’s surface temperature readings were 0.19°C below 1998’s.  In other words, the cooling, called La Niña, was larger than the El Niño warming the year before.  This is often the case.

So 2016’s surface temperatures are likely to be down quite a bit from 2015 if La Niña conditions occur for much of this year.  Current forecasts is that this may begin this summer, which would spread the La Niña cooling between 2016 and 2017.

The bottom line is this:  No El Niño, and the big spike of 2015 doesn’t happen.

Now on to Samenow. He’s a terrific weather forecaster, and he runs the Post’s very popular Capital Weather Gang web site.  He used to work for the EPA, where he was an author of the “Technical Support Document” for their infamous finding of “endangerment” from carbon dioxide, which is the only legal excuse President Obama has for his onslaught of expensive and climatically inconsequential restrictions of fossil fuel-based energy.  I’m sure he’s aware of a simple real-world test of the “weather more extreme” meme.  University of Colorado’s Roger Pielke, Jr. tweeted it out on January 20 (Figure 2), with the text “Unreported. Unspeakable. Uncomfortable. Unacceptable.  But there it is.”

 

Figure 2. Global weather-related disaster losses as a proportion of global GDP, 1990-2015.

It’s been a busy day on the incomplete-reporting-of-climate front, even as some computer models are painting an all-time record snowfall for Washington DC tomorrow.  Jason Samenow and the Capital Weather Gang aren’t forecasting nearly that amount because they believe the model predictions are too extreme.  The same logic ought to apply to the obviously “too-extreme” climate models as well, shouldn’t it?

Heat-related Death Projections Don’t Square with Observations

Global Science Report is a feature from the Center for the Study of Science, where we highlight one or two important new items in the scientific literature or the popular media. For broader and more technical perspectives, consult our monthly “Current Wisdom.”

We realize that we are 180° out of sync with the news cycle when we discuss heat-related death in the middle of Northern Hemisphere winter, but we’ve come across a recent paper that can’t wait for the heat and hype of next summer.

The paper, by Arizona State University’s David Hondula and colleagues, is a review of the recent scientific literature on “human health impacts of observed and projected increases in summer temperature.”

This topic is near and dear to our hearts, as we have ourselves contributed many papers to the scientific literature on this matter (see here).  We are especially interested in seeing how the literature has evolved over the past several years and Hondula and colleagues’ paper, which specifically looked at findings published in the 2012-2015 timeframe, fills this interest nicely.

Here’s how they summed up their analysis:

We find that studies based on projected changes in climate indicate substantial increases in heat-related mortality and morbidity in the future, while observational studies based on historical climate and health records show a decrease in negative impacts during recent warming. The discrepancy between the two groups of studies generally involves how well and how quickly humans can adapt to changes in climate via physiological, behavioral, infrastructural, and/or technological adaptation, and how such adaptation is quantified.

Did you get that? When assessing what actually happens to heat-related mortality rates in the face of rising temperatures, researchers find that “negative impacts” decline. But, when researchers attempt to project the impacts of rising temperature in the future on heat-related mortality, they predict “substantial increases.”

In other words, in the real world, people adapt to changing climate conditions (e.g., rising temperatures), but in the modeled world of the future, adaptation can’t keep up. 

On the Bright Side: A Deceleration of Sea Level Rise Along the Indian Coastline

Parker and Ollier (2015) set the tone for their new paper on sea level change along the coastline of India in the very first sentence of their abstract: “global mean sea level (GMSL) changes derived from modelling do not match actual measurements of sea level and should not be trusted” (emphasis added). In contrast, it is their position that “much more reliable information” can be obtained from analyses of individual tide gauges of sufficient quality and length. Thus, they set out to obtain such “reliable information” for the coast of India, a neglected region in many sea level studies, due in large measure to its lack of stations with continuous data of sufficient quality.

A total of eleven stations were selected by Parker and Ollier for their analysis, eight of which are archived in the PSMSL database (PSMSL, 2014) and ten in a NOAA sea level database (NOAA, 2012). The average record length of the eight PSMSL stations was 54 years, quite similar to the average record length of 53 years for the eleven NOAA stations.

Results indicated an average relative rate of sea level rise of 1.07 mm/year for all eleven Indian stations, with an average record length of 51 years. However, the two Australian researchers report this value is likely “overrated because of the short record length and the multi-decadal and interannual oscillations” of several of the stations comprising their Indian database. Indeed, as they further report, “the phase of the 60-year oscillation found in the tide gauge records is such that sea level in the North Atlantic, western North Pacific, Indian Ocean and western South Pacific has been increasing since 1985-1990,” which increase most certainly skews the rate trend of the shorter records over the most recent period of record above the actual rate of rise.

You Ought to Have a Look: 2015 Temperatures, Climate Sensitivity, and the Warming Hiatus

You Ought to Have a Look is a feature from the Center for the Study of Science posted by Patrick J. Michaels and Paul C. (“Chip”) Knappenberger.  While this section will feature all of the areas of interest that we are emphasizing, the prominence of the climate issue is driving a tremendous amount of web traffic.  Here we post a few of the best in recent days, along with our color commentary.

What’s lost in a lot of the discussion about human-caused climate change is not that the sum of human activities is leading to some warming of the earth’s temperature, but that the observed rate of warming (both at the earth’s surface and throughout the lower atmosphere) is considerably less than has been anticipated by the collection of climate models upon whose projections climate alarm (i.e., justification for strict restrictions on the use of fossil fuels) is built.

We highlight in this issue of You Ought to Have a Look a couple of articles that address this issue that we think are worth checking out.

First is this post from Steve McIntyre over at Climate Audit that we managed to dig out from among all the “record temperatures of 2015” stories. In his analysis, McIntyre places the 2015 global temperature anomaly not in real world context, but in the context of the world of climate models.

Climate model-world is important because it is in that realm where climate change catastrophes play out, and that influences the actions of real-world people to try to keep them contained in model-world.

So how did the observed 2015 temperatures compare to model world expectations? Not so well.