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energy and fields

China plans massive increase in coal mining

by Bloomberg, Mar 15, 2022 in ClimateDepot

China plans a massive increase in coal mining, a move that will dramatically reduce its reliance on imports and deal a blow to its near-term climate actions.

The National Development and Reform Commission, the nation’s top economic planner, told officials from major mining regions at a meeting late last week that it wants to boost domestic production capacity by about 300 million tons, according to people familiar with the matter. It also plans to build a 620 million-ton stockpile of the fuel split between government, miners and users.

Such an increase in output would cut the country’s already scant dependence on foreign imports after global prices hit record levels in the wake of Russia’s invasion of Ukraine. The measures also highlight concerns that China’s reliance on fossil fuels remains as entrenched as ever, as it seeks to enhance energy security to limit disruptions to economic growth, regardless of the impact on its climate goals.

It’s hard to overstate the importance to China of coal, the most-polluting fossil fuel. The nation produces and consumes more than half of global supply, and it’s the biggest contributor to its world-leading greenhouse gas emissions. China has said that coal consumption should begin to fall off in the second half of this decade as it strives to peak emissions across the economy by 2030.

The production increase would be split, with 150 million tons of capacity coming from new, upgraded operations and another 150 million from open-pit mines and some mines that had previously been shut. Daily output should average 12.6 million tons, according to the NDRC, which is even higher than the record-breaking levels reached in the fall after shortages caused widespread industrial brownouts.

The NDRC didn’t give a timeline for the ramp-up, but if last year’s all-out push on production is anything to go by, it could happen relatively quickly. The added 300 million tons of capacity is equivalent to China’s typical annual imports. The nation produced over 4 billion tons of its own coal last year.

The new edicts on supply follow other measures intended to guarantee a smoothly running power system, which still relies on coal for about 60% of its needs. The government has ordered mines and power plants to sign medium and long-term contracts for 100% of their generation, and will enforce a price range of between 570 and 770 yuan a ton for those supplies.

climate-debate

Satellite and Surface Temperatures

by A. May, Mar 15, 2022 in WUWT

In the Great Climate Change Debate between Professor David Karoly and Professor Will Happer, Glenn Tamblyn was called upon to finish the consensus side of the debate after Karoly backed out. The details are described in my latest book. The debate contained an illuminating exchange of opinions on satellite versus surface temperature measurements. This is Glenn Tamblyn’s opinion:

“Stitching together raw data from multiple satellites is very complex. Thus, the satellite datasets are much less accurate than the surface temperature datasets.

Professor Happer’s stronger emphasis on satellite temperature measurements does not agree with the experts on the subject.”

(Tamblyn, 2021b, pp. 7-8)

Satellites measure microwave radiation emitted from oxygen atoms in the atmosphere to estimate the “brightness” temperature, which can then be converted to an actual atmospheric temperature. No correlation to any other measurements is required. The measured brightness is compared to the brightness temperature of deep space (-455°F) and a target of known temperature within the satellite to compute the actual temperature in the atmosphere.[1]

Due to interference and clouds, this technique does not work close to the surface, so satellite atmospheric temperatures cannot be directly compared to surface measurements. The satellite measurements are best for measuring air temperatures in the mid-troposphere and the lower stratosphere.

The Hadley Centre has estimated that their best current estimate of global monthly average SST accuracy(sea surface temperature average uncertainty from 2000 to 2021) is about ±0.033°C and David Karoly supplied an estimate of ±0.1°C. This is a bit less accurate than the accuracy Roy Spencer and John Christy estimate for their satellite measurements of ±0.011°C for a monthly average.[1]

climate-debate

Ancient El Niños reveal limits to future climate projections

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.”

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