Nicola Scafetta and Richard C. Willson. Comparison of Decadal Trends among Total Solar Irradiance Composites of Satellite Observations. Advances in Astronomy Volume 2019, https://doi.org/10.1155/2019/1214896
We present a new analysis of the two-decade-old controversy over interpretation of satellite observations of total solar irradiance (TSI) since 1978 and the implications of our findings for TSI as a driver of climate change. Our approach compares the methods of constructing the two most commonly referenced TSI composites (ACRIM and PMOD) that relate successive observational databases and two others recently constructed using a novel statistical approach. Our primary focus is on the disparate decadal trending results of the ACRIM and PMOD TSI composite time series, namely, whether they indicate an increasing trend from 1980 to 2000 and a decreasing trend thereafter (ACRIM) or a continuously decreasing trend since 1980 (PMOD). Construction of the four-decade observational TSI composites from 1978 to the present requires the use of results from two less precise Earth Radiation Budget experiments (Nimbus7/ERB and ERBS/ERBE) during the so-called ACRIM-Gap (1989.5–1991.8), between the end of the ACRIM1 and the beginning of the ACRIM2 experiments. The ACRIM and PMOD composites used the ERB and ERBE results, respectively, to bridge the gap. The well-established paradigm of positive correlation between Solar Magnetic Field Strength (SMFS) and TSI supports the validity of the upward trend in the ERB results and the corresponding decadal upward trend of the ACRIM composite during solar cycles 21 and 22. The ERBE results have a sensor degradation caused downward gap trend, contrary to the SMFS/TSI paradigm, that biased the PMOD composite decadal trend downward during solar cycles 21 and 22. The different choice of gap bridging data is clearly the cause of the ACRIM and PMOD TSI trending difference, agreeing closely in both magnitude and direction. We also analyze two recently proposed statistical TSI composites. Unfortunately their methodology cannot account for the gap degradation of the ERBE experiment and their resulting uncertainties are too large to uniquely distinguish between the trending of the ACRIM and PMOD composites. Our analysis supports the ACRIM TSI increasing trend during the 1980 to 2000 period, followed by a long-term decreasing trend since.
“The map looks nothing like the one NOAA presents to the public. By pixel count, 51% of the land area is gray “missing data,” 16% is below normal temperature, and 33% is above normal. The animation below shows how they created one of the eight warmest “Februarys” in South America – by simply making up data, including record warmth in Brazil in locations with no actual thermometer data.” click here
Here are 60 Inconvenient Facts.
“You have been inundated with reports from media, governments, think tanks and ”experts” saying that our climate is changing for the worse and it is our fault. Increases in droughts, heat waves, tornadoes and poison ivy – to name a few – are all blamed on our ”sins of emissions” from burning fossil fuels and increasing carbon dioxide in the atmosphere. Yet, you don’t quite buy into this human-caused climate apocalypse. You aren’t sure about the details because you don’t have all the facts and likely aren’t a scientist. Inconvenient Factswas specifically created for you. Writing in plain English and providing easily understood charts and figures, Gregory Wrightstone presents the science to assess the basis of the threatened Thermageddon.
The book’s 60 ”inconvenient facts” come from government sources, peer-reviewed literature or scholarly works, set forth in a way that is lucid and entertaining. The information likely will challenge your current understanding of many apocalyptic predictions about our ever dynamic climate.
You will learn that the planet is improving, not in spite of increasing CO2 and rising temperature, but because of it. The very framework of the climate-catastrophe argument will be confronted with scientific fact. Arm yourself with the truth.”
“Scientists are co-opted and corrupted by politicians and bureaucracies invested in advancing the narrative of “climate change” in order to further centralize political power and control, explained Moore.” click here
“Yet, the recent weather is a stark reminder that a colder world is a much greater threat than a warmer one. While governments plan for warming, all the indications are that the world is cooling. And, contrary to the proclamations of climate activists, every single year more people die from the cold than from the heat.” click here
Mao, Y.J., Tan, J.Q., Chen, B.M. and Fan, H.Y. (2019) The “Ocean Stabilization Machine” May Represent a Primary Factor Underlying the Effect of “Global Warming on Climate Change”. Atmospheric and Climate Sciences, 9, 135-145.https://doi.org/10.4236/acs.2019.91009
Contemporary references to global warming pertain to the dramatic increase in monthly global land surface temperature (GLST) anomalies since 1976. In this paper, we argue that recent global warming is primarily a result of natural causes; we have established three steps that support this viewpoint. The first is to identify periodic functions that perfectly match all of the monthly anomaly data for GLST; the second is to identify monthly sea surface temperature (SST) anomalies that are located within different ocean basin domains and highly correlated with the monthly GLST anomalies; and the third is to determine whether the dramatically increasing (or dramatically decreasing) K-line diagram signals that coincide with GLST anomalies occurred in El Niño years (or La Niña years). We have identified 15,295 periodic functions that perfectly fit the monthly GLST anomalies from 1880 to 2013 and show that the monthly SST anomalies in six domains in different oceans are highly correlated with the monthly GLST anomalies. In addition, most of the annual dramatically increasing GLST anomalies occur in El Niño years; and most of the annual dramatically decreasing GLST anomalies occur in La Niña years. These findings indicate that the “ocean stabilization machine” might represent a primary factor underlying the effect of “global warming on climate change”.
“Unfortunately, the current NASA graph doesn’t even agree with their earlier graphs. Eighteen years ago, NASA showed 0.5C warming prior to the year 2000. Now they show twice as much warming prior to 2000.” click here