1,122 Record Cold Temps in the U.S. in one week

[Also see: Climate Depot Report: Earth undergoing global COOLING since 2002! – Round Up of Current Global Cooling  predictions ]

1,122 Record Cold Temps in the U.S. in one week

http://iceagenow.info/2013/07/1122-record-cold-temps-u-s-week/

1,122 Record Cold Temps173 Record Warm temps.



Date State Location New Record
°F
Old Record
°F
Mon, 29 Jul 2013 IA Washington
Lat: 41.28, Lon: -91.71
46.9 51.1° in 1972
Mon, 29 Jul 2013 VA Grundy
Lat: 37.28, Lon: -82.09
57° 57.9° in 1972
Mon, 29 Jul 2013 KY Barren River Lake
Lat: 36.9, Lon: -86.12
54° 55° in 1968
Mon, 29 Jul 2013 MO Sikeston Power Station
Lat: 36.88, Lon: -89.62
57.9° 57.9° in 1958
Mon, 29 Jul 2013 TN Norris
Lat: 36.21, Lon: -84.06
54° 59° in 1958
Mon, 29 Jul 2013 WV Summersville Lake
Lat: 38.22, Lon: -80.89
51.1° 53.1° in 1968
Mon, 29 Jul 2013 WY Burris
Lat: 43.37, Lon: -109.28
42.1° 42.1° in 1968
Mon, 29 Jul 2013 MO Amity 4 Ne
Lat: 39.89, Lon: -94.36
52° 53.1° in 1969
Mon, 29 Jul 2013 TX Anson
Lat: 32.77, Lon: -99.89
64.9° 64.9° in 1969
Mon, 29 Jul 2013 MO Warrenton 1 N
Lat: 38.84, Lon: -91.14
53.1° 55° in 1969
Mon, 29 Jul 2013 IA Sheldon
Lat: 43.18, Lon: -95.85
43° 45° in 1973
Mon, 29 Jul 2013 IA Guthrie Center
Lat: 41.67, Lon: -94.5
45° 48° in 1973
Mon, 29 Jul 2013 IA Red Oak
Lat: 41, Lon: -95.24
48° 51.1° in 1973
Mon, 29 Jul 2013 NE West Point
Lat: 41.85, Lon: -96.71
44.1° 52° in 1973
Mon, 29 Jul 2013 NE Seward
Lat: 40.9, Lon: -97.09
48.9° 53.1° in 1973
Mon, 29 Jul 2013 OR Silver Lake Rs
Lat: 43.12, Lon: -121.06
30° 30.9° in 1976
Mon, 29 Jul 2013 AL Demopolis Lock And Dam
Lat: 32.52, Lon: -87.88
60.1° 60.1° in 1958
Mon, 29 Jul 2013 IA Mapleton No.2
Lat: 42.16, Lon: -95.78
42.1° 48° in 1935
Mon, 29 Jul 2013 IA Atlantic 1 Ne
Lat: 41.42, Lon: -95
43° 46° in 1916
Mon, 29 Jul 2013 IA Williamsburg 3se
Lat: 41.64, Lon: -91.98
44.1° 46.9° in 1945
Mon, 29 Jul 2013 IA Manchester #2
Lat: 42.47, Lon: -91.45
45° 45° in 1945
Mon, 29 Jul 2013 IA Belle Plaine
Lat: 41.88, Lon: -92.28
45° 48° in 1945
Mon, 29 Jul 2013 IA Audubon
Lat: 41.71, Lon: -94.92
45° 46° in 1929
Mon, 29 Jul 2013 IA Estherville

Watch Now: Canada’s Ezra Levant mocks Obama’s Keystone pipeline claims: ‘This president is the first president to make an international incident out of regular commerce – and to hold thousands of U.S. jobs hostage to rich environmental lobbyists’

Ezra Levant excerpt: ‘Is there anyone out there who would look at America’s source of oil imports –  the terrorists of Saudi Arabia;  the kleptocrats of Nigeria;  the thugs of Venezuela – and say that the most pressing national interest, something so important that it will be set off against thousands of American jobs, is that OPEC conflict oil has a few puffs of CO2 less than Canadian oilsands oil? Which isn’t even true in the case of Venezuela?

Is there any normal person who prefers to buy oil from terrorist central – aka the middle east – than from Canada? Well, Obama thinks that.’

 …

Geologist Dr. Don Easterbrook debunks ‘absurd’ new warmist study claiming 1,700 U.S. cities will be below sea level by 2100 — Easterbrook: ‘The rate used by [Lead Author] Strauss for his predictions is more than 10 times the rate over the past century!’

Climate Depot Exclusive

Analysis by Geologist Dr. Don J. Easterbrook, an Emeritus Professor at Western Washington University, who has authored ten books and 150 journal publications. Presented 31 research papers at international meetings in 13 countries outside the US.

Easterbrook: ‘More than 1,700 U.S. cities will be partially underwater by 2100? What is going to cause sea level rise to accelerate and where will the water come from?’

More than 1,700 American cities and towns – including Boston, New York, and Miami – will be drowning by the end of this century accoroding to a paper published in the Proceedings of the National Academy of Sciences by Benjamin Strauss. Twenty five percent of the populations of these 1,700 cities would be living below sea level by 2100 and 79 cities with a combined population of 835,000 would be submerged by 2023 and about half of the population of Fort Lauderdale, Hoboken, and Palm Beach would be submerged by 2023 according to Strauss. The basis for these amazing conclusions is apparently a 12 inch (222 cm) per decade rise of global sea level, the maximum IPCC estimate, which is postulated to be caused by increasing atmospheric CO2.

According to Strauss, Norfolk, Virginia, the largest naval base in the U.S., would be at risk by the 2040s and the Pentagon has already begun actively planning to relocate bases. Much of Miami would be under water by 2040 and half of Palm Beach, FL would be submerged by the 2060s.  Fort Lauderdale would be well below sea-level. About half the population of Cambridge, MA, across the Charles River from Boston would be submerged by the early 2060s

How does this compare with sea level rise over the past century? Sea level rose 12 cm (6 ½ inches) from 1900 to 1980 (Fig. 1) or about 7 inches per century.

easterbrook1

Figure 1.  Sea level rise from 1900 to 1980.

Projecting this same rate over the next century would give a sea level rise of about 2 inches by 2030 and about 6 inches by the end of century.

 

 easterbrook2

Figure 2.  Sea level rise based on projection of past rates.

A comparison of the projection of sea level rise over the past century with the projected sea level rise of Strauss is shown in Figure 3.

easterbrook3

Figure 3. Comparison of projected sea level rise based on rates over the past …

WARNING: Using a different computer could change the climate catastrophe: ‘How bad are these global forecast models?When the same model code with the same data is run in a different computing environment (hardware, operating system, compiler, libraries, optimizer), the results can differ significantly’

WARNING: Using a different computer could change the climate catastrophe

http://joannenova.com.au/2013/07/oops-same-climate-models-produce-different-results-on-different-computers/

How bad are these global forecast models? When the same model code with the same data is run in a different computing environment (hardware, operating system, compiler, libraries, optimizer), the results can differ significantly. So even if reviewers or critics obtained a climate model, they could not replicate the results without knowing exactly what computing environment the model was originally run in. This raises that telling question: What kind of planet do we live on? Do we have a Intel Earth or an IBM one? It matters. They get different weather, apparently. There is a chaotic element (or two) involved, and the famous random butterfly effect on the planet’s surface is also mirrored in the way the code is handled. There is a binary butterfly effect. But don’t for a moment think that this “mirroring” is useful: these are different butterflies, and two random events don’t produce order, they produce chaos squared. How important are these numerical discrepancies? Obviously it undermines our confidence in climate models even further. We can never be sure how much of the rising temperature in a model forecasts might change if we moved to a different computer. (Though, since we already know the models […]Rating: 9.1/10 (19 votes cast)

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Australian emissions reductions target is undone by one week in China: ‘Chinese annual increases in emissions are larger than the entire Australian output. India is not too far behind’

Australian emissions reductions target is undone by one week in China

http://joannenova.com.au/2013/07/australian-emissions-reductions-target-is-undone-by-one-week-in-china/

Here’s a graph showing something about Australian, Chinese and Indian emissions (thanks to Tom Quirk). At a glance you might think we are up there with the best of them (doing our bit to fertilize the flora of the planet, and to regreen the deserts). Alas, the Australian tally (the green triangles) represents the total emissions of Australia. The lines depicting Chinese and Indian emissions just show their annual increases. Chinese annual increases in emissions are larger than the entire Australian output. India is not too far behind. It appears the new coal fired power stations and cars coming on line in the breakneck-evolution-of-China, produced twice the emissions of the entire continent of Australia. Remember our aim to reduce our national output by 5% or so by 2020. Thanks to the Renewable Energy Target, the Clean Energy Fund, the Remote Indigenous Energy Program, the Low Income Energy Efficiency Program, the Living Greener program, the Regional Natural Resource Management Planning, the Light Vehicle CO2 Emissions Standards, the Household Assistance Package, and not to mention another 36 programs I could have listed as well as the Emissions Trading Scheme (aka Carbon Tax), or the Climate Commission, and a multitude of state based schemes, […]Rating: 8.7/10 (9 votes cast)

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