by Tony Heller, July 4, 2017
Venus is hot because it has an atmospheric pressure almost 100X that of Earth. The same reason why the top of the Grand canyon is cold, and the bottom of the Grand Canyon is hot. Temperatures in Venus troposphere at the elevation where pressure is 1 bar, are similar to earth. Only a complete moron would believe that adding 0.0001 mole fraction CO2 to the atmosphere would cause that.
by David Archibald, July 3, 2017
From a post a couple of days ago: “an F10.7 flux above 100 causes warming and below that level causes cooling.” Greg asked “Can you prove that?” I already had in this WUWT post from 2012. But it is worth revisiting the subject because it answers the big question – If all the energy that stops the Earth from looking like Pluto comes from the Sun, what is the solar activity level that corresponds to our average climate? Because solar activity is falling and climate will follow.
by Hiroko Tabuchi, July 1, 2017
When China halted plans for more than 100 new coal-fired power plants this year, even as President Trump vowed to “bring back coal” in America, the contrast seemed to confirm Beijing’s new role as a leader in the fight against climate change.
But new data on the world’s biggest developers of coal-fired power plants paints a very different picture: China’s energy companies will make up nearly half of the new coal generation expected to go online in the next decade.
These Chinese corporations are building or planning to build more than 700 new coal plants at home and around the world (…)
by Kenneth Richard, July 3, 2017 in NoTricksZone
During the first 6 months of 2017, 285 scientific papers have already been published that cast doubt on the position that anthropogenic CO2 emissions function as the climate’s fundamental control knob…or that otherwise question the efficacy of climate models or the related “consensus” positions commonly endorsed by policymakers and mainstream media.
These 285 new papers support the position that there are significant limitations and uncertainties inherent in our understanding of climate and climate changes. Climate science is not settled.
by Christian Gérondeau, 18 juin 2017, in Atlantico
Les hommes politiques, à l’image de Barack Obama avancent que 97% des scientifiques sont d’accord sur les causes humaines et les dangers du réchauffement climatique. Des chercheurs ont étudié l’ensemble des 11 944 publications sur le climat parues entre 1991 et 2011. Les résultats publiés en 2013 montrent que près de 66% des publications n’expriment pas d’avis, ni positif, ni négatif sur le réchauffement climatique.
by Lauren Lipuma, June 23, 2017
In a new study, scientists puzzled by the sudden ice loss matched satellite images of Antarctica with weather data from the second half of 2016 to figure out what caused so much of the ice to melt. They found that a series of remarkable storms during September, October and November brought warm air and strong winds from the north that melted 75,000 square kilometers (30,000 square miles) of ice per day. That’s like losing a South Carolina-sized chunk of ice every 24 hours.
by Guillaume Séchet, 3 juillet 2017, in AssociationClimatoRéalistes
… dont août 1911 l’un des mois les plus chauds de l’histoire et 1947 (40°C à Paris les 27 et 28 juillet, record absolu depuis 1873). Emmanuel Leroy Ladurie indique qu’au dix-huitième siècle siècle les canicules pouvaient se répéter plusieurs étés consécutifs : ainsi les années 1705, 1706 et 1707, et le « couple brûlant » (sic) des années 1718 et 1719 « avec sauterelles africaines jusqu’au Languedoc ».
By Dr Roy Spencer, July 2, 2017
The only two people who were qualified to review this data tampering by RSS, Dr. Roy Spencer and Dr. John Christy, were not consulted and the changes were not submitted for peer review to them. This is very severe malfeasance, and standard practice for climate scientists. Their job is to push global warming, not do science.
by S. Hsiang et al., June 2017, Science
Estimates of climate change damage are central to the design of climate policies. Here, we develop a flexible architecture for computing damages that integrates climate science, econometric analyses, and process models. We use this approach to construct spatially explicit, probabilistic, and empirically derived estimates of economic damage in the United States from climate change.