sunshine hours

August 23, 2014

NOAA – 184 Low Min Records Broken From Aug 1 to Aug 21. Some records demolished by 11F

Filed under: Cold Kills,NOAA,USA — sunshinehours1 @ 11:01 AM
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184 Low Min Records Broken From Aug 1 to Aug 21 according to the NOAA.

Below is a screenshot showing location and the biggest difference between old record and new record.

Note that Stambaugh MI  has 91 years of data. And the record was demolished by 11F.

20F as a low on Aug 14. Wow.

LowMin_Aug_1_2014_to_Aug_21

 

NOAA – 1025 Low Max Records Broken From Aug 1 to Aug 21. Some records Smashed by 16F

Filed under: Cold Kills,NOAA,USA — sunshinehours1 @ 9:18 AM
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1025 Low Max Records Broken From Aug 1 to Aug 21 according to the NOAA.

A “Low Max” means that the maximum temperatures for the day was the lowest it has ever been.

This indicates daytime cooling.

Below is a screenshot showing location and the biggest difference between old record and new record.

Note that Dyer NV has 111 years of data. And the record was smashed by 16F.

LowMax_Aug_1_2014_to_Aug_21

 

August 14, 2014

NOAA July 2014 – Illinois – 2nd Coldest Maximum – 16.2F Colder Than 1936

Filed under: NOAA,USA — sunshinehours1 @ 7:48 AM
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According to the NOAA, for Illionois,  July 2014 ranked 2nd coldest out of 120 using the Maximum temperature.

The average max in July 1936 was 97.2. In July 2014 it was 81F. That means it was 16.2F colder .

 

NOAA_2014_july_Illinois_max

August 13, 2014

NOAA July 2014 – Really , Really Low Ranking For Maximum Temperatures in Many States

Filed under: NOAA,USA — sunshinehours1 @ 10:47 AM
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According to the NOAA, July 2014 ranked 29th coldest out of 120 using the Maximum temperature

Wow.

Take a look at the dark blue states. The number is the ranking out of 120. 1 would be the coldest. 120 would be warmest.

4 states were ranked 2nd coldest maximum temperatures since 1895.

1 was ranked 3rd, 2 were ranked 4th , 2 were ranked 5th, and there was 1 ranked 6, 1 ranked 8, 1 ranked 9 and 2 ranked 10th

 

NOAA_2014_july_max_MAP

 

Here is the ranking by division. 10 divisions had the lowest maximum temperatures of all time. One division in northern California was ranked 120.

NOAA_2014_july_max_MAP_by_division

NOAA July 2014 – Arkansas – 2nd Coldest Maximum Temperature Out of 120

Filed under: NOAA,USA — sunshinehours1 @ 1:57 AM
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According to the NOAA, for Arkansas July 2014 ranked 2nd coldest out of 120 using the Maximum temperature.

It was -5.8F below the 1901-2000 average. Only .1F warmer than 1905.

 

NOAA_Arkansas_July_2014_MAX

August 12, 2014

NOAA July 2014 – 29th Coldest Maximum Temperature Out of 120

Filed under: NOAA,USA — sunshinehours1 @ 1:53 PM
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According to the NOAA, July 2014 ranked 29th coldest out of 120 using the Maximum temperature

The list in order of warmest to coldest.

1936,1934,1901,2012,2006,1931,1980,1954,1930,2011,2002,1933,2003,1939,2005,1966,1935,1988,1998,1917,1964

1937,1952,1943,1910,1921,1940,1919,1957,1960,1974,1977,1953,1925,2007,1932,1985,1942,1914,1955,1970,1946

1916,1949,2001,1959,2008,1989,2010,1983,1929,1941,1978,2000,1951,1999,1963,1926,1969,1938,1991,1923,1944

1981,1947,1994,1995,1897,2013,1948,1961,1996,1898,1899,1956,1908,1973,1900,1928,1922,1975,1986,1945,1984

1920,1913,1896,1927,1976,1997,1987,2014,1911,1918,1968,1979,1990,1982,1971,1965,1924,2009,1967,2004

1907,1909,1906,1958,1902,1962,1972,1903,1912,1905,1904,1993,1895,1950,1915,1992

The scary thing is … 2009 and 2004 were colder than 2014.

NOAA_2014_july_max

July 24, 2014

NOAA – 28,504 Low Max Records Set in Last 365 Days

Filed under: Cold Kills,NOAA,USA — sunshinehours1 @ 2:58 PM
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28,504 Low Max Records were set in last 365 days according to the NOAA.

A “Low Max” means that the maximum temperatures for the day was the lowest it has ever been.

This indicates daytime cooling.

Only 13205 High Max records were set. That is  over a 2:1 ratio. Brrr.

LowMax_2014_July_24

(h/t IceAgeNow)

 

July 9, 2014

USHCN Infilling – A rebuttal to Nick Stokes

Filed under: USA,USHCN — sunshinehours1 @ 11:43 AM
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Nick Stoke and Zeke Hausfather don’t like my graphs showing a difference between Estimated (infilled) and non-Estimated (not infilled)  USHCN data

Nick said:

“The difference between average estimated and average non-estimated, doesn’t reflect estimation. It just reflects changes in the kind of stations that were being estimated.

For some reason, they were more likely to be warmer. I don’t know why, but they were. It’s just the wrong way to do it.”

I’m not sure I believe in coincidences.

I believe Nick and Zeke both created an anomaly baseline for each month for each station. Nick used 1900 to 2013. Zeke said he used 1961-1990.

Neither of them added trend lines.

I believe both used all the data (infilled and non-infilled). (As of my posting this they had not confirmed). I disagree with that. Infilled data should not be used in the baseline.

As an example of what infilling does using the difference by station from the 1895-2013 baseline here is Dec 1998 to 2013 Tmax.

In this case, the real data had a downwards trend of -0.82C/decade and the infilled data was -0.64C/decade which is .18C/decade higher not because infilled data was hotter, but because it was less cold.

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1998-2013) Dec (Diff From non-Estimated 1895-2013) Climatology

From 1895 to 2013 the infilled trend is consistently .02C/decade to .03C/decade higher than the non-infilled trend.

The red dots are higher on the 1980 and later side of the graph while they are lower on the pre-1960 part of the graph.

Cooling the past, warming the present.

 

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Jul (Diff From non-Estimated 1895-2013) Climatology

 

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Dec (Diff From non-Estimated 1895-2013) Climatology

 

 

July 7, 2014

Misleading Information About USHCN At Judith Curry’s Blog

Filed under: USA,USHCN — sunshinehours1 @ 8:27 AM
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Zeke has an post over at Judith Curry’s blog where he makes a claim that “infill has no effect on CONUS-wide trends” (among other claims).

Zeke_Infilling_Curry

 

I disagree. Here are the 12 months comparing Estimated and Non-Estimated and then all the data. Blue = Final data (non-Estimated) Red = Final Data Estimated Green = All Final Data.

Infilling does change the trend. For example, Estimating changed the trend in Dec from .06C per decade to .07C per decade because the Estimated data had a trend of .15C/decade.

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Dec

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Nov

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Oct

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Sep

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Aug

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Jul

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Jun

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) May

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Apr

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Mar

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Feb

USA USHCN Final v2.5.0.20140627 - tmax - FLs.52i (from 1895-2013) Jan

July 3, 2014

USHCN Tmax – Hottest July Histogram – Raw vs Adjusted

Filed under: USA,USHCN — sunshinehours1 @ 4:22 PM
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Yesterday I did a post looking at every station and finding out which year had the hottest July. Today I am showing you what effect the adjustments have.

I am using USHCN Final Tmax monthly data and comparing it to the raw data . From the file v2.5.0.20140627. (This is not necessarily all the data NOAA uses)

The format is a little different, but it is designed to allow easy comparison. Red is the raw data. Green is Final and muddy green is where raw and final overlap.

As you can see, the number of years near the present have a lot green. Which means the adjustments created more record hot years.

The 1910s to 1980s have red at the top which indicates raw data. Translation: More record July’s occurred in the past using raw data.

For the Coldest July data, the results are the opposite. Adjusting creates more colder July’s in the past and takes away cold July’s from the present.

 

USHCN Tmax - raw and Final - Hottest July

USHCN Tmax - raw and Final - Coldest July

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