Ion A, Vladescu L, Badea IA, Comanescu L. Monitoring and evaluation of the water quality of Budeasa Reservoir-Arges River, Romania. Environmental monitoring and assessment. 2016 Sep;188(9):535.
The purpose of this study was to monitor and record the specific characteristics and properties of the Arges River water in the Budeasa Reservoir (the principal water resources of municipal tap water of the big Romanian city Pitesti and surrounding area) for a period of 5 years (2005-2009). The monitored physical and chemical parameters were turbidity, pH, electrical conductivity, chemical oxygen demand, 5 days biochemical oxygen demand, free dissolved oxygen, nitrite, nitrate, ammonia nitrogen, chloride, total dissolved iron ions, sulfate, manganese, phosphate, total alkalinity, and total hardness. The results were discussed in correlation with the precipitation values during the study. Monthly and annual values of each parameter determined in the period January 2005-December 2009 were used as a basis for the classification of Budeasa Reservoir water, according to the European legislation, as well as for assessing its quality as a drinking water supply. Principal component analysis and Pearson correlation coefficients were used as statistical procedures in order to evaluate the data obtained during this study.
“This is his account of his personal journey of discovery that concluded that the claims are based on invalid science and are being pushed by a far left wing conspiracy that tolerates no skepticism, that their “solution” will result in disastrous price increases and reduced reliability for electricity in the US, as it already has in Western Europe, and reductions in economic growth and living standards around the world, particularly for the less affluent.” click here
There’s an ongoing dispute on this question. The post here by Dr. Roy Spencer is the most recent in this discussion. I very much appreciate Dr. Spencer’s work on global temperatures (though I’ve never met him in person).
I’ve read Dr. Spencer’s explanation before and did not find it very persuasive. The experimental evidence is new to me. However, I’m still puzzled by this explanation and interpretation of the experimental data presented by Dr. Spencer. (There are other factors beyond the second law of thermodynamics at work here.)
I decided to ask a heat transfer expert (an experienced PhD mechanical engineer) with no dog in this fight to review these explanations and comments and give me an informal reaction. The response back to me was the following:
“I scanned quickly through the link. Any system has to follow the conservation of mass and energy (can be combined as in nuclear engineering). He is relying on some correct radiation principles. But he is clueless about the effects of reflectivity and that thermal imaging does not give accurate temperatures. “
I’ll be meeting with this expert to discuss the issue further and perhaps collaborate on a future experiment of our own. Dr. Spencer’s experiment is interesting but does not resolve the difficulties I had initially with the explanation provided.
Though I disagree with him on this matter I wish Dr. Spencer well in his future work.
Karin van der Wiel, Sarah B. Kapnick, Gabriel A. Vecchi, William F Cooke, Thomas L Delworth, Liwei Jia, Hiroyuki Murakami, Seth Underwood, Fanrong Zeng. 2016. The resolution dependence of contiguous US precipitation extremes in response to CO forcing. Journal of Climate, doi:10.1175/JCLI-D-16-0307.1
Precipitation extremes have a widespread impact on societies and ecosystems; it is therefore important to understand current and future patterns of extreme precipitation. Here, a set of new global coupled climate models with varying atmospheric resolution has been used to investigate the ability of these models to reproduce observed patterns of precipitation extremes and to investigate changes in these extremes in response to increased atmospheric CO2 concentrations. The atmospheric resolution was increased from 2°×2° grid cells (typical resolution in the CMIP5 archive) to 0.25°×.25° (tropical cyclone-permitting). Analysis has been confined to the contiguous United States (CONUS). It is shown that, for these models, integrating at higher atmospheric resolution improves all aspects of simulated extreme precipitation: spatial patterns, intensities and seasonal timing. In response to 2×CO2concentrations, all models show a mean intensification of precipitation rates during extreme events of approximately 3-4% K−1. However, projected regional patterns of changes in extremes are dependent on model resolution. For example, the highest-resolution models show increased precipitation rates during extreme events in the hurricane season in the CONUS southeast, this increase is not found in the low-resolution model. These results emphasize that, for the study of extreme precipitation there is a minimum model resolution that is needed to capture the weather phenomena generating the extremes. Finally, the observed record and historical model experiments were used to investigate changes in the recent past. In part because of large intrinsic variability, no evidence was found for changes in extreme precipitation attributable to climate change in the available observed record.
“The mountain of failed predictions and significant flip-flops seems to be never ending when it comes to climate change experts. For years they predicted (i.e. carelessly speculated) that a warming climate would increase the incidence of the nasty dengue fever disease. But now researchers are reporting that the incidence of the disease could actually be reduced with warming climate change.” click here
Sure looks like it here.
Unfortunately, i’ve seen this type of data manipulation in other university contexts.
Posted in Climate
Mallakpour, I. and Villarini, G. Analysis of changes in the magnitude, frequency, and seasonality of heavy precipitation over the contiguous USA
Theoretical and Applied Climatology (2016). doi:10.1007/s00704-016-1881-z
Gridded daily precipitation observations over the contiguous USA are used to investigate the past observed changes in the frequency and magnitude of heavy precipitation, and to examine its seasonality. Analyses are based on the Climate Prediction Center (CPC) daily precipitation data from 1948 to 2012. We use a block maxima approach to identify changes in the magnitude of heavy precipitation and a peak-over-threshold (POT) approach for the changes in the frequency. The results of this study show that there is a stronger signal of change in the frequency rather than in the magnitude of heavy precipitation events. Also, results show an increasing trend in the frequency of heavy precipitation over large areas of the contiguous USA with the most notable exception of the US Northwest. These results indicate that over the last 65 years, the stronger storms are not getting stronger, but a larger number of heavy precipitation events have been observed. The annual maximum precipitation and annual frequency of heavy precipitation reveal a marked seasonality over the contiguous USA. However, we could not find any evidence suggesting shifting in the seasonality of annual maximum precipitation by investigating whether the day of the year at which the maximum precipitation occurs has changed over time. Furthermore, we examine whether the year-to-year variations in the frequency and magnitude of heavy precipitation can be explained in terms of climate variability driven by the influence of the Atlantic and Pacific Oceans. Our findings indicate that the climate variability of both the Atlantic and Pacific Oceans can exert a large control on the precipitation frequency and magnitude over the contiguous USA. Also, the results indicate that part of the spatial and temporal features of the relationship between climate variability and heavy precipitation magnitude and frequency can be described by one or more of the climate indices considered here.