by V. Herrera et al., Apr 2002, in AtmosphereMPDI
Every year, tropical hurricanes affect North and Central American wildlife and people. The ability to forecast hurricanes is essential in order to minimize the risks and vulnerabilities in North and Central America. Machine learning is a newly tool that has been applied to make predictions about different phenomena. We present an original framework utilizing Machine Learning with the purpose of developing models that give insights into the complex relationship between the land–atmosphere–ocean system and tropical hurricanes. We study the activity variations in each Atlantic hurricane category as tabulated and classified by NOAA from 1950 to 2021. By applying wavelet analysis, we find that category 2–4 hurricanes formed during the positive phase of the quasi-quinquennial oscillation. In addition, our wavelet analyses show that super Atlantic hurricanes of category 5 strength were formed only during the positive phase of the decadal oscillation. The patterns obtained for each Atlantic hurricane category, clustered historical hurricane records in high and null tropical hurricane activity seasons. Using the observational patterns obtained by wavelet analysis, we created a long-term probabilistic Bayesian Machine Learning forecast for each of the Atlantic hurricane categories. Our results imply that if all such natural activity patterns and the tendencies for Atlantic hurricanes continue and persist, the next groups of hurricanes over the Atlantic basin will begin between 2023 ± 1 and 2025 ± 1, 2023 ± 1 and 2025 ± 1, 2025 ± 1 and 2028 ± 1, 2026 ± 2 and 2031 ± 3, for hurricane strength categories 2 to 5, respectively. Our results further point out that in the case of the super hurricanes of the Atlantic of category 5, they develop in five geographic areas with hot deep waters that are rather very well defined: (I) the east coast of the United States, (II) the Northeast of Mexico, (III) the Caribbean Sea, (IV) the Central American coast, and (V) the north of the Greater Antilles.
by University of Texas at Austin, Mar 15, 2022 in ScienceDaily
The climate pattern El Niño varies over time to such a degree that scientists will have difficulty detecting signs that it is getting stronger with global warming.
That’s the conclusion of a study led by scientists at The University of Texas at Austin that analyzed 9,000 years of Earth’s history. The scientists drew on climate data contained within ancient corals and used one of the world’s most powerful supercomputers to conduct their research.
The study of the past, which was recently published in Science Advances, was motivated by the need to get a clearer picture of how climate change may affect El Niño in the future.
El Niño is the warm phase of the El Niño Southern Oscillation, a climate phenomenon that sets the stage every few years for weather patterns worldwide. Strong El Niño events, such as the ones in 1997 and 2015 that brought wildfires to the rainforests of Borneo in Asia and caused widespread bleaching to the world’s coral reefs, happened about once a decade.
Computer models, however, are unclear about whether El Niño events will become weaker or stronger as the world warms due to climate change.
“Much of the world’s temperature and rainfall are influenced by what happens in the tropical Pacific Ocean where El Niño starts,” said the study’s lead author, Allison Lawman, who began the research as a Ph.D. project at the UT Jackson School of Geosciences and is now a postdoctoral researcher at the University of Colorado Boulder. “The difference in rainfall between greater or fewer strong El Niño events is going to be a critical question for infrastructure and resource planners.”
by P. Gosselin, Mar 6, 2022 in NoTricksZone
In its most recent video, German site Die kalte Sonne here looks at a paper on CO2 climate forcing by Stefani 2021: Solar and Anthropogenic Influences on Climate: Regression Analysis and Tentative Predictions. The results point to only a moderately warming planet up to the year 2150.
To hype up climate warming alarm, IPCC scientists like to exaggerate CO2’s power to trap heat and warm up the atmosphere. But with every assessment report that the IPCC issues, the estimated value by which CO2 warms the planet steadily gets reduced as the observed warming keeps lagging behind what earlier models predicted.
In his paper, Frank Stefani and his team at the Helmholtz Center, Institute of Fluid Dynamics in Dresden, Germany looked at the impacts by CO2 and solar activity.
On average 1.1°C warming
Using double regression, the scientists evaluated linear combinations of the logarithm of the carbon dioxide concentration and the geomagnetic aa index as a proxy for solar activity. They reproduced the sea surface temperature (HadSST) since the middle of the 19th and ended up with a a climate sensitivity (of TCR type) in the range of 0.6 K until 1.6 K per doubling of CO2. The midpoint of this range is 1.1°C, a value many critical climate scientists have already estimated earlier, and thus far below the IPCC scary estimates.
The paper’s abstract elaborates further:
by P. Voosen, Sep 23, 2020 in AAAS Science
Many of the world’s most dangerous earthquake faults are a silent menace: They have not ruptured in more than a century. To gauge the hazard they pose to buildings and people, geologists cannot rely on the record of recent strikes, captured by seismometers. Instead, they must figure out how the faults behaved in the past by looking for clues in the rocks themselves, including slickenlines, scour marks along the exposed rock face of a fault that can indicate how much it slipped in past earthquakes.
Earthquakes don’t happen all at once. Rather, the slip between rocks begins at one spot on the face of the fault—the hypocenter—and travels along it, like a zipper being unzipped. As the rupture advances, the earthquake waves it generates pile up and intensify, like the siren of an approaching ambulance. Los Angeles lies at the northern terminus of the southern San Andreas fault, Ampuero notes. “If it breaks north, toward LA, that would be pretty bad.”
by P. Homewood, July 12, 2020 in NotaLotofPeopleKnowThat
The WMO has collated global temperature projections from twelve different organisations, covering this year and the next five years. They were produced in 2019.
It is totally clear that there is very little agreement between any of them, other than a warm Arctic.
An unkind person might call them a waste of space!
by Jack Hellner, December 18, 2019 in ClimateChangeDispatch
Here is a small sample of predictions on the climate that almost all of the media regurgitate with no questions asked:
- 2019-The UN says we only have a few years left because of warming.
- 2008-On ABC, Good Morning America. By 2015, New York City would be underwater, milk would be $13 per gallon and gasoline would be $9 per gallon, very little of Miami would be left. (they were so close)
- 2005-After Katrina we were told hurricanes would be more frequent and severe than ever. Instead, we had a ten-year lull in serious hurricanes hitting the U.S.
- 1989- The UN says we only have a few years left because of warming.
- 1970-First Earth Day. Billions would die soon because of global cooling and an ice age.
- 1922-AP and Washington Post-Coastal cities would soon be underwater because the ice caps have melted due to global warming.
Here is a small sample of questions for politicians, bureaucrats, scientists, educators, Time person’s of the year, and people who pretend to be journalists peddling the indoctrination and pushing the agenda.