Scafetta on UHI

By Rud Istvan – Re-Blogged From WUWT

Detection of UHI bias in China climate network using Tmin and Tmax surface temperature divergence

Nicola Scafetta a, Shenghui Ouyang b

Abstract Near-surface temperature records show that China warmed by about 0.8 °C from 1950 to 2010. However, there exists an ongoing debate about whether this warming might have been partially due to urbanization bias. In fact, homogenization approaches may be inefficient in densely populated provinces that have experienced a significant urban development since the 1940s. This paper aims to complement previous research on the topic by showing that an alternative approach based on the analysis of the divergence between the minimum (Tmin) and maximum (Tmax) near-surface temperature records since the 1940s could be useful to clarify the issue because urban heat island (UHI) effects stress the warming of nocturnal temperatures more than the diurnal ones.

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Cooling Down the Hysteria About Global Warming

By Rich Enthoven – Re-Blogged From WUWT

Recently, NASA released its annual report on global temperatures and reported that 2018 was the fourth hottest year on record, surpassed only by three recent years. This claim was accompanied by dire predictions of climate change and for immediate action to dramatically curtail CO2 emissions around the globe. Like every concerned citizen read this report with interest. I also read it as an informed and trained climate analyst – and I can tell that there are some serious problems with the report and its conclusions.

For starters, I can assure my readers that I am not a climate change “denier.” No one doubts the climate changed when it experienced the Ice Age that ended 12,000 years ago. I have read enough scientific literature to believe the well documented view that the planet experienced the Medieval Warm Period (950 – 1250 AD) and Little Ice Age (1550 – 1850 AD) when global temperatures changed materially. I have also read enough scientific literature to understand that solar and ocean cycles affect global climate.

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Darwin Temperatures Lying Adjustments

By Bob Irvine -Re-Blogged From WUWT

Darwin Australia is one of only two temperature stations in an entire NASA grid and, therefore, has a disproportionate influence on the NASA-GISS global temperature reconstruction. The other station used by NASA in this grid is Gove (Stn. # 014508). Gove only goes back to 1985 which leaves Darwin as the only station in this grid that dates back to the early part of the 20th century.

Jennifer Marohasy has been an absolute warrior in pursuit of the Australian Bureau of Meteorology (BOM). She has doggedly confronted their bureaucratic maze and called out their consistent and brazen manipulation of Australian temperature data. Her blog post on the recent changes to historical Darwin temperatures is copied below.

https://jennifermarohasy.com/2019/02/changes-to-darwins-climate-history-are-not-logical/

I have used a couple of her plots and added a few of my own in this post.

Fig. 1, Mean maximum annual temperatures as measured at the Darwin Post Office (014016) and airport (014015) shown with the new remodeled ACORN-SAT Version 2, which is the new official record for Australia.

Fig. 1, Mean maximum annual temperatures as measured at the Darwin Post Office (014016) and airport (014015) shown with the new remodeled ACORN-SAT Version 2, which is the new official record for Australia.

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How More Cooling Generates Global Warming

Re-Blogged From WUWT

From the “we’ll fix that in post” department comes this from down under courtesy of Dr. Jennifer Marohasy.

COOLING the past relative to the present has the general effect of making the present appear hotter – it is a way of generating more global warming for the same weather.

The Bureau of Meteorology has rewritten Australia’s temperature in this way for the second time in just six years – increasing the rate of warming by 23 percent between Version 1 and the new Version 2 of the official ACORN-SAT temperature record.

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BoM’s Changes to Darwin’s Climate History

By Dr. Jennifer Marohasy – Re-Blogged From WUWT

The hubris of the Australian Bureau of Meteorology is on full display with its most recent remodelling of the historic temperature record for Darwin. The Bureau has further dramatically increased the rate of global warming at Darwin by further artificially lowering historic temperatures.

This begins by shortening the historical temperature record so that it begins just after the very hot years of the Federation drought. Then by changing the daily values: that is changing the observed measured temperatures to something else.

For example, on 1st January 1910 the maximum temperature recorded at the Darwin post office was 34.2 degrees Celsius.

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Australia – Lies, Damned Lies, and Statistics

By Chris Gilham, – Re-Blogged From WUWT

Did you know that Australia’s rate of temperature warming per decade since 1910 has increased by 23%?

No? Neither does the Australian public, despite the Bureau of Meteorology several weeks ago releasing a new ACORN dataset of daily temperatures over the past 109 years that significantly rewrites Australia’s climate history.

ACORN 1 (Australian Climate Observations Reference Network – Surface Air Temperature) was released in 2012. The bureau has released ACORN 2 dailies, a total revision that significantly increases the warming trend calculated from the average temperatures since 1910 at 112 weather stations across the country.

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September 2018 Global Surface (Land+Ocean) and Lower Troposphere Temperature Anomaly Update

By Bob Tisdale – Re-Blogged From WUWT

This post provides updates of the values for the three primary suppliers of global land+ocean surface temperature reconstructions—GISS through September 2018 and HADCRUT4 and NOAA NCEI (formerly NOAA NCDC) through August 2018—and of the two suppliers of satellite-based lower troposphere temperature composites (RSS and UAH) through September 2018. It also includes a few model-data comparisons.

This is simply an update, but it includes a good amount of background information for those new to the datasets. Because it is an update, there is no overview or summary for this post. There are, however, simple monthly summaries for the individual datasets. So for those familiar with the datasets, simply fast-forward to the graphs and read the summaries under the headings of “Update”.

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