Science failed to predict flood and heat intensity, needs better computer – BBC

Weather forecasting technology

Maybe they need better ideas, not just more expensive modelling gear run by the same climate obsessives pushing worn-out theories that have never worked. Sales talk of ‘delivering the quantum leap’ sounds a bit thin after decades of posing as masters of climate understanding.
– – –
Top climate scientists have admitted they failed to predict the intensity of the German floods and the North American heat dome, says BBC News.

They’ve correctly warned over decades that a fast-warming climate would bring worse bursts of rain and more damaging heatwaves.

But they say their computers are not powerful enough to accurately project the severity of those extremes.

They want governments to spend big on a shared climate super-computer.

Solar Cycle 25 Predictions Update: Talkshop vs Svalgaard

The last time we took a look at Leif Svalgaard’s SC25 prediction in 2018, he was predicting a peak amplitude of around 140SSN in 2024 according to the plot or (giving himself more latitude) “SC25 will be somewhere between SC24 and SC20, provided the Polar Field Precursor Relationship holds.”

This has been modified in his latest presentation on the subject. The peak amplitude has been revised downwards to 128+/-10SSN.

Source: https://www.leif.org/research/How-to-Predict-Solar-Cycle-25.ppt

Met Office and Microsoft to build climate supercomputer

Weather forecasting technology

Before they even build it, everyone knows what kind of answers the ‘climate supercomputer’ will be required to produce. These will then be presented as evidence of the pre-conceived climate theories, which will be tagged as ‘science’ and everyone will be expected to be impressed.
– – –
The Met Office will work with Microsoft on a supercomputer which will help model climate change, says BBC News.

They say it will provide more accurate weather forecasting and a better understanding of climate change.

The UK government said in February 2020 it would invest £1.2bn in the project.

MET Office global temperature prediction falls 0.35C in 5 years.

Back in 2016, the UK MET Office’s median projection to the start of 2021 forecast a global temperature temperature anomaly of 1.4C above their 1850-1900 “Pre-Industrial” baseline. Their recently published five year model projection (rightmost blue blob on graph), shows a 2021 median anomaly 0.35C lower, at 1.05C.

Their HADcruT 4GL temperature time series (data since 2016 added in red on graph) shows a linear trend of +0.09C/semi-decade for the last 50 years. CO2, by far the biggest forcing in their model, is still rising in lockstep with the 50 year temperature trend. What could have caused this remarkable downward step change in their model output?

Crystal ball time as the BBC and Met Office unveil their climate postcode lottery

Brits can get their fix of climate doom here. All based on greenhouse gas theory, even though the greenhouse itself is mythical. What could possibly go wrong? Just ‘Enter your postcode above to reveal how hot it could get near you’, says the BBC. Will you be roasted, flooded or maybe both?
– – –
How high might temperatures climb where you live – and is it likely to rain more?

The BBC and the Met Office have looked at the UK’s changing climate in detail to find out.

The Met Office climate projections cover different levels of global warming.

BBC: Can computers solve UK weird weather puzzle?

Credit: BBC

What weird weather puzzle? Static high or low pressure systems (blocking patterns) are not that uncommon or unusual, but are likely to be pounced on by headline-seeking climate alarmists. And statistics for calendar months (‘wettest February’) are to some extent just arbitrary period selection. Better theories might be at least as useful as fancier computers.
– – –
A top climate scientist has called for more investment in climate computing to explain the UK’s recent topsy turvy weather, reports BBC News.

Prof Tim Palmer from Oxford University said there were still too many unknowns in climate forecasting.

And in the month the SpaceX launch grabbed headlines, he said just one of the firm’s billions could transform climate modelling.

Solar power plants get help from satellites to predict cloud cover

Image credit: MIT

At least they don’t need any help predicting hours of darkness.
– – –
The output of solar energy systems is highly dependent on cloud cover, says Science Daily.

While weather forecasting can be used to predict the amount of sunlight reaching ground-based solar collectors, cloud cover is often characterized in simple terms, such as cloudy, partly cloudy or clear.

This does not provide accurate information for estimating the amount of sunlight available for solar power plants.

In this week’s Journal of Renewable and Sustainable Energy, from AIP Publishing, a new method is reported for estimating cloud optical properties using data from recently launched satellites.

COVID 19: Computer Models Reveal Their Limitations

.
.
Relying on computer models to forecast events is a precarious business, as we’re now being reminded.

PA Pundits - International

By Peter Murphy~

Computer models compiled by scientists, statisticians and public health experts to predict the number of deaths resulting from COVID-19 have been drastically scaled back this past week. This is hopeful news, but has wider implications. There also should be a serious look-back, given the wildly inflated early predictions of numbers of deaths in the United States.

Computer models are only as good as the assumptions built into them. If the inputs are faulty, the predictions will have shown to be flawed based on real life outcomes. This is playing out with the coronavirus models, and wreacking economic havoc worldwide. This modeling problem has ample precedent.

Flawed computer models have long been rampant in predicting planetary global warming for at least the last 30 years, even as they continue to influence public policy. Perhaps the most famous falsehood was the “hockey stick” prediction of rapid…

View original post 700 more words

NASA study adds a pinch of salt to El Niño models

Credit: concernusa.org

Accurate ENSO forecasts without salinity data only extend out 4 months, while those with it cover 7 months, researchers believe.
– – –
When modeling the El Niño-Southern Oscillation (ENSO) ocean-climate cycle, adding satellite sea surface salinity—or saltiness—data significantly improves model accuracy, according to a new NASA study.

ENSO is an irregular cycle of warm and cold climate events called El Niño and La Niña, says Phys.org.

In normal years, strong easterly trade winds blow from the Americas toward southeast Asia, but in an El Niño year, those winds are reduced and sometimes even reversed.

Warm water that was “piled up” in the western Pacific flows back toward the Americas, changing atmospheric pressure and moisture to produce droughts in Asia and more frequent storms and floods in the Americas.

The reverse pattern is called a La Niña, in which the ocean in the eastern Pacific is cooler than normal.

Germany’s weather service starts ten-year forecast ‘to improve climate adaptation’

Credit: geologycafe.com [click on image to enlarge]

That’s the idea anyway. They expect warmer weather to lead to drier conditions upto 2025. Perhaps a bit odd on the face of it, as the steamy tropics have rainforests whereas icy Antarctica is the driest continent on Earth.
– – –
A new decade-long weather forecast made by Germany’s Meteorological Service (DWD) is supposed to improve the country’s climate change adaptation capabilities, says Clean Energy Wire.

“Our new forecast for the next ten years fills the gap between existing climate forecasts for the next months and long-term climate projections until the end of the century,” said DWD climatology head Tobias Fuchs.

The forecast project, supported by Germany’s research ministry, could be used by policymakers, business leaders and others to adapt their investment decisions to climate change, he added.

MET-Office wants your money for a new supercomputer, but has given up decadal forecasting

Well this is a disappointment.

After the fiasco in 2018 when I revealed the data-shifting technique the MET-Office were using to never be wrong about their ‘decadal’ forecast, and the late update in 2019 , the MET-O have now disappeared the ‘decadal’ forecast altogether. This after they promised to update it in January 2020.

EDIT: The forecast has been found! See comments below.

Met Office forecasters set for ‘billion pound’ supercomputer

A beefier computer is still just a computer. The report says ‘Around half of the processing work – the research devoted to climate change – could be located in countries blessed with easy sources of clean energy. Iceland with its geothermal sources and Norway with its hydropower are both possibilities’.

Ever wondered why your village was suddenly flooded by a thunderstorm the weather forecasters hadn’t mentioned? Or why they failed to warn you about the dense fog shrouding your home in the morning?

The fact is that predicting the “big picture” of future conditions has got a lot better – Storm Dennis was spotted six days before it arrived, says BBC News.

But getting local forecasts right – street by street and hour by hour – is still a massive challenge.

And that might now change as the Met Office secures the help of a supercomputer project costing £1.2bn.

Mission to reveal ‘Truths’ about climate change

‘Truths’ is an acronym* but it helps with the publicity. The satellite ‘will be sensitive to light in the visible and near-infrared part of the electromagnetic spectrum’.
[*Traceable Radiometry Underpinning Terrestrial- and Helio- Studies]
– – –
The UK is going to lead a space mission to get an absolute measurement of the light reflected off Earth’s surface, reports BBC Science.

The information will be used to calibrate the observations of other satellites, allowing their data to be compared more easily.

Called Truths, the new spacecraft was approved for development by European Space Agency member states in November.

Proponents of the mission expect its data to help reduce the uncertainty in projections of future climate change.

Barometric pressure in London ‘highest in 300 years’ at least

High pressure over the UK

This is happening at the time of the deepest solar minimum for over a century. A Met Office tweet shown in the article states the record was set in January 1902: ‘UK record of 1053.6 hPa, Aberdeen 31.1.1902’.

Wikipedia says: ‘solar cycle [14] lasted 11.5 years, beginning in January 1902 and ending in July 1913. The maximum smoothed sunspot number (SIDC formula) observed during the solar cycle was 107.1, in February 1906 (the lowest since the Dalton Minimum)’.

The obvious similarity between January 1902 and January 2020, and indeed between solar cycles 14 and 24, could be a coincidence – but is it?
– – –
The weather forecasters have just given us an impressive display of their skill by predicting the scale of the current high pressure zone over the UK, says BBC News.

Overnight, Sunday into Monday, London’s Heathrow Airport recorded a barometric pressure of 1,049.6 millibars (mbar).

It’s very likely the highest pressure ever recorded in London, with records dating back to 1692.

But the UK Met Office and the European Centre for Medium Range Forecasts had seen it coming well ahead of time.

Steve Brown: Compilation of Solar Cycle 25 forecasts.

Contributor Steve Brown has sent me this nice plot he’s made of Solar Cycle 25 forecasts. It’s worth noting that Rick Salvador’s (blue) is the earliest, made back in 2013. The ‘NASA consensus’ forecast (green) is quite similar to Leif Svalgaard’s.

Indo-Pacific Ocean warming is changing global rainfall patterns, say researchers

It’s ‘according to a new study’ time again, as the Madden-Julian Oscillation (MJO) goes under the microscope. Another causes and effects puzzle.

New research by NOAA and a visiting scientist from India shows that warming of the Indo-Pacific Ocean is altering rainfall patterns from the tropics to the United States, contributing to declines in rainfall on the United States west and east coasts, reports Phys.org.

In a study published this week in the journal Nature, researchers report a doubling in the size of a warm pool of water spanning the western Pacific and eastern Indian Ocean in recent years.

This Indo-Pacific warm pool in what is already the warmest part of the global ocean is expanding each year by an area the size of California.

Climate Models vs Observations: 2019 Update – by Ross McKitrick

Earth and climate – an ongoing controversy

Below are a few quotes from the GWPF article. More discussion with graphics via the link. Is the handbrake about to be re-applied to so-called human-caused warming of the planet, in contradiction of alarmist ‘projections’?

Back around 2014 many people, me included, were commenting on the discrepancy between climate models and observations [writes Ross McKitrick].
. . .
The IPCC itself in the 5th Assessment Report (2013) noted that out of 114 model runs, 111 had overstated observed warming since the late 1990s.

NASA goes with low Solar Cycle 25 prediction “30-50% lower than cycle 24.”

Quiet sun [image credit: NASA]

NASA finally agrees with our model estimate for cycle 25 published in 2013. It’ll be interesting to see how this pans out. Leif Svalgaard predicted that cycle 25 would be higher than 24, but lower than cycle 20.

Research now underway may have found a reliable new method to predict this solar activity. The Sun’s activity rises and falls in an 11-year cycle. The forecast for the next solar cycle says it will be the weakest of the last 200 years. The maximum of this next cycle – measured in terms of sunspot number, a standard measure of solar activity level – could be 30 to 50% lower than the most recent one. The results show that the next cycle will start in 2020 and reach its maximum in 2025.

The new research was led by Irina Kitiashvili, a researcher with the Bay Area Environmental Research Institute at NASA’s Ames Research Center, in California’s Silicon Valley. It combined observations from two NASA space missions – the Solar and Heliospheric Observatory and the Solar Dynamics Observatory – with data collected since 1976 from the ground-based National Solar Observatory.

Scientists track giant ocean vortex from space

Credit: Seung Joon Yang @ Wikipedia

This natural phenomenon is over 100,000 square miles in area, typically persists for about 200 days per year and is strongly linked to monsoons, but is not well understood.

Researchers have found a new way to use satellites to monitor the Great Whirl, a massive whirlpool the size of Colorado that forms each year off the coast of East Africa, they report in a new study.

Using 23 years of satellite data, the new findings show the Great Whirl is larger and longer-lived than scientists previously thought, reports Phys.org.

At its peak, the giant whirlpool is, on average, 275,000 square kilometers (106,000 square miles) in area and persists for about 200 days out of the year. Watch an animation of the Great Whirl’s evolution here.

2019 ENSO forecast

.
.
We like a forecast at the Talkshop. Let’s see how this one goes.

Climate Etc.

by Judith Curry and Jim Johnstone

CFAN’s 2019 ENSO forecast is for a transition away from El Niño conditions as the summer progresses. The forecast for Sept-Oct-Nov 2019 calls for 60% probability of ENSO neutral conditions, with 40% probability of weak El Niño conditions. – Forecast issued 3/25/19

View original post 984 more words