USA Temperatures – Shrinking Population = Cooler / Growing Population = Warmer

A couple of years ago I posted an article about waste heat.

“The waste heat generated by car engines, power plants, home furnaces and other fossil fuel-burning machinery plays an unappreciated role in influencing regional climates, new computer simulations suggest. By altering atmospheric circulation, human-made heat may raise temperatures by as much as 1 degree Celsius during winter in the northernmost parts of the world.”

Compare this map of CRN temperature changes from a WUWT article to the population growth map.

A large part of the US is shrinking population-wise and that part of the USA is cooling.

 WUWT_CRN_clip_image0047

2010-census-counties_png_800x1000_q100

USHCN 2.5 – Kansas Mapped – July 1936 and 2012

UPDATE:  I am adding the following means:

1936 raw / tobs / final mean = 101.47 / 100.83 / 100.32

2012 raw / tobs/ final mean = 99.57 / 99.66 / 99.48

Original Start of post:

I’ve been doing posts about USCHN and Estimated data. I wanted to visualize.

This is the USHCN July 1936 and 2012 TMAX data for Kansas.

Form the most part, in July 1936 the red data (Final) is colder than the raw temperatures (black) and in 2012 it is the other way around.

The data is in F (originally in C so there may be very slight conversion issues).

Black temperatures are raw, blue are TOBS and red are Final adjusted. Stations with just a red have no raw data. The data is just ‘E’stimated.

Click for full size.

USHCN Tmax v2.5.0.20140627 - Jul 1936 - KS

USHCN Tmax v2.5.0.20140627 - Jul 2012 - KS

USHCN 2.5 – Estimated Data Is Warming Data – USA 1945 to 1980

I’ve been posting on USHCN and the effect of “estimating” or “Infilling” on  the Final data.

Earlier today I showed that Estimating/Infilling made the 1980-2014 trend steeper upwards.

Now I will show the opposite: When the trend is down, infilling makes the trend steeper downwards.

I repeat … this is the Final data after all the other adjustments. About 15% of the data is Estimated from neighboring stations.

I will post all the monthly graphs … but just discuss the first – January.

The data is 1945 to 1980. So it covers a period of cooling.

The trend of REAL data is –0.58C/decade. That’s the 39,766 values referenced in the legend.

Then they add in about 15% Estimated data with a trend of  -0.79C/decade. That’s the 3987 values.

The net result is a new trend of -0.61C/decade.

Presto. Magic. A -0.58C trend is now a -0.61C trend.

Not a big change. But it is always there.  But the red line is almost always well above the others. Sometimes by 2C.

(Click on graphs for larger).

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Jan

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Feb

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Mar

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Apr

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) May

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Jun

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Jul

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Aug

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Sep

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Oct

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Nov

USA USCHCN Final v2.5.0.20140509 (from 1945-1980) Dec

USHCN 2.5 – Estimated Data Is Warming Data – USA 1980 – 2014

I’ve been posting on USHCN and the effect of “estimating” or “Infilling” on  the Final data. I did Arizona earlier.

I repeat … this is the Final data after all the other adjustments. About 15% of the data is Estimated from neighboring stations.

I will post all the monthly graphs … but just discuss the first – January.

The data is 1980 to 2014. So it has the 1980-1990 warming trend in it.

The trend of REAL data is 0.23C/decade. That’s the 35,854 values referenced in the legend.

Then they add in about 15% Estimated data with a trend of  +0.66C/decade. That’s the 4516 values.

The net result is a new trend of +0.33C/decade.

Presto. Magic. A .23C trend is now a .33C trend. (Click on graphs for larger).

USA USCHCN Final v2.5.0.20140509 (from 1980) Jan

USA USCHCN Final v2.5.0.20140509 (from 1980) Feb

USA USCHCN Final v2.5.0.20140509 (from 1980) Mar

USA USCHCN Final v2.5.0.20140509 (from 1980) Apr

USA USCHCN Final v2.5.0.20140509 (from 1980) May

USA USCHCN Final v2.5.0.20140509 (from 1980) Jun

USA USCHCN Final v2.5.0.20140509 (from 1980) Jul

USA USCHCN Final v2.5.0.20140509 (from 1980) Aug

USA USCHCN Final v2.5.0.20140509 (from 1980) Sep

USA USCHCN Final v2.5.0.20140509 (from 1980) Oct

USA USCHCN Final v2.5.0.20140509 (from 1980) Nov

USA USCHCN Final v2.5.0.20140509 (from 1980) Dec

USHCN 2.5 – OMG … The Old Data Changes Every Day (Mapped)

Update: I added a few other states

I’ve been doing posts about USCHN and Estimated data. I wanted to visualize.

This is the USHCN May 2014 TMAX data for Illinois.

The data is in F (originally in C so there may be very slight conversion issues).

Black temperatures are raw, blue are TOBS and red are Final adjusted. Stations with just a red have no raw data. The data is just ‘E’stimated.

Click for full size.

USHCN v2.5.0.20140627 May 2014 IL

 

A few other states:

USHCN v2.5.0.20140627 May 2014 WY USHCN v2.5.0.20140627 May 2014 CA USHCN v2.5.0.20140627 May 2014 TX USHCN v2.5.0.20140627 May 2014 WA

USHCN 2.5 – OMG … The Old Data Changes Every Day Updated

UPDATE: I got a request for a histogram by Decade for the differences. I have attached them at the bottom.

A few days ago I did a post about the USHCN data changing every day. I focused on one month of one year,

So this is a stats update. From Jun 21 2014 to Jun 22 2014 the TAVG data had 22,996 temperature values changed (out of 138136)

The changes were spread out through the years.  And the change was predominantly to warm the data.

This is a histogram of the Year.

 

june21_22_2014_tavg_hist_year

This is a histogram of the change. (The right side of 0 says the data got warmer)

 

june21_22_2014_tavg_hist_dif

 

1890s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1900s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1910s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1920s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1930s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1940s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621 < a href=”https://sunshinehours.files.wordpress.com/2014/06/1950s-difference-ushcn-tavg-v2-5-0-20140622-compared-to-v2-5-0-20140621.png”&gt;1950s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1960s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1970s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1980s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

1990s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

2000s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

2010s Difference USHCN TAVG v2.5.0.20140622 compared to v2.5.0.20140621

USHCN Only 51 Stations Have A Full Set Of Monthly Data For 1961-1990

UPDATE: Published. Not in moderation.

Over at WUWT I have a couple of comments in moderation in the argument about US climate data. This one of them (slightly clarified).

 

Zeke is quoted: “The way that NCDC, GISS, Hadley, myself, Nick Stokes, Chad, Tamino, Jeff Id/Roman M, and even Anthony Watts (in Fall et al) all calculate temperatures is by taking station data, translating it into anomalies by subtracting the long-term average for each month from each station (e.g. the 1961-1990 mean)”

To create a 1961-1990 baseline, you would have 360 monthly values.

The USHCN monthly data has error flags. The E flag means the data for that month is Estimated. There is not enough daily data to created a monthly value.

There are ONLY 51 stations that had 360 values without an E flag from 1961-1990.

That means only 51 out of 1218 stations have relatively complete data to use as a baseline.

 

WY MORAN 5 WNW USH00486440 is one of the 51

WY NEWCASTLE USH00486660 is one that failed. 61 months of the 360 had an E flag. (Admittedly my comment had a typo over at WUWT).

And I just looked at the E flag. There lots of other flags.

 

Here is the other comment:

 

Anthony, you should double check Zeke’s work.

Using USHCN Final Tavg dated v2.5.0.20140622

July 2012 – 880 Stations have data without the E for Estimated flag.

There are 1218 stations.

27% of the July 2012 Stations are missing data.

July of 1895 has 472 station reporting Real (non-Estimated) data

61%. of the July 1895 stations are missing data.

Now remember, I am only look at the monthly records. Monthly records avoid the E flag if there are enough daily data. It doesn’t mean there is data for every day.

 

 

 

USHCN 2.5 – OMG … The Old Data Changes Every Day

Yesterday I did a post about old USHCN changing from month to month.

So I thought why compare data sets from one day to the next. Certainly they can’t be changing old data every day … could they?

So I compared the June 21 2014 TAvg Final dataset (ushcn.tavg.latest.FLs.52i.tar.gz) from here  to the same file from June 22 2014

And just to keep it manageable. I compared only the data from Jan 1998.

And here we are … the data even for 1998 changes from day to day.

Consider the “SANDPOINT EXP STN” station. On June 21 the monthly average temperature for Jan 1998 was -1.33C.  On June 22 2014 it was -0.89C for an increase in temperature of .44C.

These are all the records where the temperature changed or the Error Flag changed.

11 got warmer. 4 got colder. And even the non-Estimated data changes. OMG. How can you actually analyze the data if the past temperature changes every day.

Year STATE NAME Station LATITUDE LONGITUDE ELEVATION Month DATA1 E1 Version1 DATA2 E2 Version2 dif
1998 FL ARCADIA USH00080228 27.2181 -81.8739 9.1 1 17.61 E v2.5.0.20140621 17.63 E v2.5.0.20140622 0.02
1998 ID PRIEST RIVER EXP STN USH00107386 48.3514 -116.8358 725.4 1 -2.77 v2.5.0.20140621 -2.78 v2.5.0.20140622 -0.01
1998 ID SANDPOINT EXP STN USH00108137 48.2928 -116.5578 640.1 1 -1.33 a v2.5.0.20140621 -0.89 a v2.5.0.20140622 0.44
1998 MI NEWBERRY 3S USH00205816 46.3133 -85.5106 259.1 1 -9 v2.5.0.20140621 -8.86 v2.5.0.20140622 0.14
1998 NC ELIZABETH CITY USH00312719 36.3097 -76.205 2.4 1 7.93 a v2.5.0.20140621 7.94 a v2.5.0.20140622 0.01
1998 NY SARATOGA SPRINGS 4 SW USH00307484 43.0331 -73.8167 94.5 1 -3.19 v2.5.0.20140621 -3.17 v2.5.0.20140622 0.02
1998 TN CROSSVILLE ED & RESEARCH USH00402202 36.0147 -85.1311 551.7 1 5.14 a v2.5.0.20140621 5.17 a v2.5.0.20140622 0.03
1998 VA BREMO BLUFF USH00440993 37.7092 -78.2886 68.6 1 6.25 d v2.5.0.20140621 6.24 d v2.5.0.20140622 -0.01
1998 VA FARMVILLE 2 N USH00442941 37.3264 -78.3864 137.2 1 4.94 a v2.5.0.20140621 4.93 a v2.5.0.20140622 -0.01
1998 VA HOPEWELL USH00444101 37.2992 -77.2772 12.2 1 7.27 b v2.5.0.20140621 7.29 b v2.5.0.20140622 0.02
1998 VA NORFOLK INTL AP USH00446139 36.9033 -76.1922 9.1 1 8.18 v2.5.0.20140621 8.33 v2.5.0.20140622 0.15
1998 VA WILLIAMSBURG 2 N USH00449151 37.3017 -76.7039 21.3 1 6.96 a v2.5.0.20140621 6.98 a v2.5.0.20140622 0.02
1998 WA NORTHPORT USH00455946 48.9114 -117.8069 423.7 1 -2.13 v2.5.0.20140621 -2.14 v2.5.0.20140622 -0.01
1998 WI MANITOWOC USH00475017 44.0869 -87.6522 178 1 -4.12 E v2.5.0.20140621 -4.11 E v2.5.0.20140622 0.01
1998 WI WATERTOWN USH00478919 43.1742 -88.7364 251.5 1 -3.94 v2.5.0.20140621 -3.93 v2.5.0.20140622 0.01

USHCN 2.5 – 1998 Keeps Getting Warmer

This is another post on USHCN warming. You can read more here.

USHCN puts out a monthly dataset every day. For the last month or so I was using the data I downloaded on on 20140509. I have been using the Final tavg data.

Today I downloaded the 20140621 version from here: ftp://ftp.ncdc.noaa.gov/pub/data/ushcn/v2.5

I thought … why not map both sets and compare the average temperature for the USA in Jan 1998 between the two sets of data.

In the legend I placed the count of Real versus Estimated and the average.

I was shocked. They are still warming 1998!

On May 9 the mean of the Estimated data was 2.5C and the mean of the Real Data was 1.74 … which is a .76C spread.

On June 21 the mean of the Estimated data was 2.72C and the mean of the Real Data was 1.7 … which is a 1.02C spread.

OMG. They keep changing the data. And they are still warming 1998!!!

 

USHCN v2.5.0.20140509 Final USA January 1998 Estimated vs Not Estimated

USHCN v2.5.0.20140621 Final USA January 1998 Estimated vs Not Estimated

USHCN 2.5 – Estimated Warming By Year and Month

This is the 3rd or 4th post on USHCN warming. You can read more here.

Today I have taken the Final data from 1895 to 2013 and am comparing the average for each month Estimated to Real in Celsius.

As you can see, in all cases the Estimated data is warmer. What a shock! (Not really).

Month Estimated Real Estimated minus Real
Jan 0.17 -1.02 1.19
Feb 1.95 0.8 1.15
Mar 6.39 5.42 0.97
Apr 11.53 10.85 0.68
May 16.45 15.96 0.49
Jun 21.05 20.54 0.51
Jul 23.61 23.21 0.4
Aug 22.86 22.37 0.49
Sep 18.94 18.42 0.52
Oct 12.97 12.45 0.52
Nov 6.5 5.82 0.68
Dec 1.5 0.54 0.96

The next table is just the difference for each year and month. If Estimated is larger than Real, then the color will be red, otherwise blue. If the difference is more than 1 or -1, then bold will emphasize.

Red means the Estimated data is hotter than the non-estimated for that year and month.

Blue is much rarer than red. And bold blue is very rare indeed.

Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
1895 0.12 -0.29 0.04 0.06 -0.38 0.22 -0.2 -0.21 -0.31 0.09 0.26 0.67
1896 0.78 0.9 1.08 1.21 0.84 0.54 0.15 0.29 0.39 0.43 0.4 0.1
1897 -0.24 0.48 0.66 0.23 -0.14 -0.07 0.03 -0.11 0.44 -0.11 -0.19 0.9
1898 -0.27 0.16 -0.24 0.16 -0.41 -0.05 0 0.23 0.03 -0.82 -0.93 -0.35
1899 0.17 -0.03 0.39 -0.37 -0.33 -0.54 -0.28 -0.23 0.14 -0.47 0.18 0.26
1900 0.89 0.97 1.35 0.56 -0.35 -0.05 -0.11 -0.22 -0.34 -0.74 -0.23 0.48
1901 1.57 1.74 1.16 0.43 0.24 -0.07 0.16 0.26 -0.22 -0.05 0.17 0.42
1902 1.25 0.74 -0.3 0.37 0.25 -0.1 0.09 0.18 0.01 -0.25 -0.6 0.87
1903 0.26 0.58 0.17 0.68 -0.27 0.45 0.44 0.69 0.38 0.6 0.53 1.15
1904 1.16 2.62 2.11 1.34 0.67 0.92 0.39 0.92 0.34 0.29 0.7 0.72
1905 0.84 1.04 0.67 -0.12 -0.07 -0.3 0.04 0.21 0.02 -0.99 -0.05 -0.09
1906 -0.59 0.19 -0.05 0.05 -0.43 0.06 0.39 0.45 0.22 0.03 -0.27 0.69
1907 -0.59 0.76 -0.06 0.16 -0.05 -0.34 -0.56 -0.55 -0.55 0.05 -0.19 -0.5
1908 0.6 1.07 1.28 0.34 -0.38 -0.63 -0.21 -0.25 -0.4 -0.58 -0.04 -0.34
1909 -0.14 -0.15 0.05 -0.62 -1.05 -0.93 -0.42 -0.63 -0.62 -0.2 -0.81 -0.28
1910 0.45 0.01 -0.19 -0.14 0.18 0.26 0.16 0.04 0.41 -0.71 -0.45 0.86
1911 -0.29 -0.92 0.64 0.23 -0.73 -0.1 -0.48 -0.48 -0.59 -1.21 -0.93 -1.71
1912 0.52 0.77 -0.39 -1.29 -0.63 -0.29 -0.21 0.11 -0.8 -1.14 -0.63 -1.13
1913 -0.49 0.49 0.01 -0.33 0.13 0.1 0.35 0.11 0.11 0.05 -0.23 -0.81
1914 0.3 -0.11 0.46 -0.09 -0.24 0.02 0.35 0.51 0.03 -0.25 0.53 0.33
1915 0.32 0.27 0.92 -0.3 -0.32 -0.81 -0.32 0.4 -0.19 -0.2 0.21 0.87
1916 -0.95 1.24 1.12 0.31 -0.29 0.34 -0.04 0.15 0.11 -0.18 -0.07 -0.13
1917 -0.26 1.36 0.54 0.37 0.52 0.84 0.39 0.42 0.96 1.34 0.75 2.01
1918 1.65 1.44 0.36 0.67 -0.23 0.64 0.4 0.48 0.65 0.89 0.26 0.45
1919 0.38 0.68 0.44 0.33 0.26 0.25 0.06 0.27 0.32 0.06 -0.15 0.11
1920 -0.23 0 0.04 -0.12 0.35 0.35 0.36 -0.03 -0.31 -0.24 -1.1 -1.55
1921 -0.48 0.04 -0.06 -0.22 0.16 0.07 0.24 0.49 1.12 0.9 1.9 1.18
1922 0.74 1.04 0.84 0.06 0.24 0.96 1 0.29 -0.28 -0.31 -0.52 0.79
1923 1.07 0.4 0.58 0.63 0.44 0.57 0.64 0.43 0.57 -0.28 0.35 0.61
1924 1.11 0.85 0.35 0.55 0.4 0.72 -0.13 0.17 0.21 0.08 0.78 1.65
1925 1.15 1.3 0.76 0.57 0.84 0.72 0.54 -0.03 0.1 1.05 0.39 0.56
1926 0.62 0.8 0.26 0.37 0.12 0.05 -0.19 0.18 0.13 0.11 0.68 0.87
1927 0.66 1.66 1.22 1.51 1.05 0.39 0.3 0.39 0.75 0.72 0.56 1.4
1928 1.72 1.14 0.81 0.82 0.23 0.48 -0.13 0.52 0.33 0.75 0.16 0.79
1929 1.2 1.5 1.22 0.28 0.4 0.32 0.56 0.33 1.16 0.81 0.71 0.9
1930 1.6 1.2 1.13 1.28 0.41 0.44 0.42 0.18 0.71 0.38 0.9 1.29
1931 0.72 1.08 0.95 1 1 1.09 1.11 1.02 0.71 0.89 1.55 2.38
1932 2.79 3.21 2.77 0.53 0.34 0.07 0.08 -0.3 0.02 0.64 1.28 1.63
1933 0.5 1.75 0.86 0.16 0.35 0.15 0.17 -0.39 0.27 0.81 0.81 1.63
1934 0.72 0.89 0.46 0.32 0.33 0.65 0.26 0.35 0.35 0.27 -0.09 0.07
1935 1.64 1.13 1.69 0.54 0.41 0.23 0.19 0.38 0.29 0.4 -0.41 0.98
1936 1.35 0.82 0.89 0.12 -0.08 0.03 -0.12 0.82 0.31 0.39 -0.11 0.94
1937 -1.3 0.45 1.19 0.47 0.35 0.17 0.21 0.71 1 1.11 0.74 1.24
1938 1.14 0.36 -0.11 0.11 0.35 0.45 0.52 0.63 0.61 0.71 2.21 1.6
1939 2.08 2.43 1.33 1.17 0.59 0.91 0.39 0.04 1.17 0.95 1 1.01
1940 2.19 1.81 2.04 1.62 1.01 0.94 0.65 0.96 0.9 0.83 1.36 1
1941 1.98 1.7 1.58 0.55 0.33 0.68 0.31 0.76 0.63 0.8 0.75 0.99
1942 1.53 1.4 1.28 0.6 1.13 1.01 0.65 0.73 0.52 0.81 1.12 1.96
1943 2.79 2.13 2.21 1.56 1.28 0.86 0.74 1.49 1.44 1.31 1.83 2.08
1944 1.86 3.17 2.79 2.1 1.24 1.75 1.66 1.47 1.37 0.97 0.62 1.64
1945 2.6 1.55 0.5 1.36 1.42 1.22 1.12 0.81 1.41 1.34 1.29 1.8
1946 1.31 1.42 0.78 0.69 0.85 0.64 0.35 0.53 0.46 1.09 1.63 1.11
1947 1.74 1.8 1.67 1.74 1.46 1.74 0.69 0.94 1.15 0.95 1.7 1.24
1948 1.74 1.75 2.07 1.99 1.39 1.58 1.42 1.2 1.15 1.41 1.58 2.71
1949 3.09 2.72 2.35 1.18 1.07 1.23 1.26 1.09 0.95 1.21 1.12 1.58
1950 2.17 1.89 1.21 1.02 0.96 0.61 0.48 0.18 0.42 0.39 0.19 -0.22
1951 0.1 0.24 -0.1 0.11 0.53 0.86 0.83 0.98 1.05 0.39 0.94 1.45
1952 1.74 1.23 1.03 0.49 0.87 1.05 0.57 0.88 1.18 1.36 1.27 1.84
1953 2.57 2.28 1.89 1.42 1.54 1.23 1.07 1.05 1.05 1.23 1.3 2.37
1954 3.03 1.96 1.8 1.71 1.14 1 0.98 1.3 1.56 1.55 1.07 1.56
1955 2.4 2.56 2.84 1.47 1.44 0.89 0.53 0.56 0.73 1.07 2.66 2.38
1956 2.34 2.75 2.63 2.04 1.64 0.94 0.8 0.99 1.35 0.9 0.89 1.51
1957 2.08 1.76 0.49 0.71 0.67 0.82 0.23 0.81 1.06 0.76 0.64 0.99
1958 1.26 1.86 0.85 0.66 0.8 0.91 0.49 0.23 0.34 0.51 1.05 1.97
1959 1.71 1.83 1.35 1.03 0.5 0.41 0.48 0.23 0.93 1.37 1.87 1.03
1960 1.63 1.78 1.47 1.58 1.6 1.22 0.62 1.09 1.09 1.07 1.2 0.73
1961 0.49 1.19 1.12 1.15 0.97 0.6 0.76 0.49 0.44 0.66 1.3 1.82
1962 2.18 2.52 1.54 1.73 2.17 1.69 1.39 1.52 1.58 1.67 1.54 1.83
1963 2.97 2.51 1.71 1.53 1.51 0.88 0.69 0.99 1.1 0.9 1.32 2.04
1964 1.83 1.6 2 1.69 1.12 1.32 0.59 0.73 1.34 0.82 1.69 2.19
1965 2.19 2.71 2.31 2.27 1.35 1.15 0.95 1.06 1.98 1.16 1.98 1.28
1966 1.9 1.88 1.31 1.23 0.77 0.31 0.4 0.6 0.48 0.55 1.27 1.16
1967 1.9 2.34 2.17 1.23 0.92 0.35 0.62 0.92 0.69 0.7 0.78 0.62
1968 2.15 2.09 1.05 0.98 0.35 0.16 0.44 0.32 0.07 0.59 0.06 0.38
1969 1.2 0.12 0.42 0.02 0.14 0.44 -0.02 0.43 0.16 -0.12 0.04 -0.31
1970 0.61 0.1 0.39 0.06 -0.03 -0.4 -0.28 -0.37 -0.24 -0.07 0.57 0.81
1971 0.61 -0.16 0.34 -0.45 -0.37 -0.25 -0.54 -0.32 -0.37 -1.2 -0.15 -0.25
1972 0.54 0.3 0.29 -0.46 -0.11 0.12 0.66 0.05 0.6 0.97 0.67 1.59
1973 0.97 1.11 0.38 0.35 0.47 -0.01 -0.28 0.31 -0.33 -0.02 0.53 0.92
1974 1.64 0.14 1.1 1.02 1.64 0.84 0.26 1 1.16 0.67 0.15 0.7
1975 2.37 1.31 0.6 0.76 0.69 0.95 0.51 0.8 1.21 0.78 0.9 1.61
1976 2.12 1.92 1.16 1.12 0.65 0.57 0.81 0.71 0.79 0.43 1.05 1
1977 2.2 1.74 0.42 0.29 -0.14 0.6 0.18 0.55 0.32 0.39 0.14 1.96
1978 2.17 2.74 1.95 0.79 0.33 0.32 0.58 0.6 1.02 1.25 1.09 1.57
1979 2.13 2.65 1.21 1.24 0.65 0.53 0.57 0.73 0.79 0.68 0.28 0.05
1980 -0.13 0.89 0.32 0.28 0.41 1.01 1.3 0.62 0.44 0.59 0.33 0.88
1981 0.91 0.81 0.4 0.72 0.05 0.43 0.51 0.57 0.67 0.8 1.03 1.76
1982 3.21 2.28 1.64 1.23 0.59 0.57 0.39 1.14 1.49 1.42 2.14 2.52
1983 1.18 1.55 1.46 1.44 1.45 1.44 1.46 0.99 1.3 1.18 1.04 1.53
1984 1.56 1.75 1.82 1.23 1.24 1.03 0.73 0.6 1.22 1.37 0.91 1.72
1985 2.37 1.79 1.2 0.64 0.51 0.5 0.14 0.11 0.13 0.37 -0.62 -0.18
1986 0.22 0.82 0.45 0.1 -0.06 0.22 0.38 0.07 0.19 -0.23 0.19 0.12
1987 -0.03 -0.03 -0.06 0.21 -0.38 0.02 0.33 0.21 0.24 0.8 0.19 0.5
1988 0.16 0.84 0.53 0.42 -0.14 0.48 0.27 0.21 0.53 1.23 0.87 1.19
1989 1.3 1.43 1.7 1.43 0.76 0.45 0.61 0.46 0.96 0.33 0.65 0.85
1990 0.6 1.47 1.06 0.71 0.89 0.23 0.31 0.29 0.13 0.52 0.54 0.53
1991 0.2 0.43 -0.87 -0.35 -0.11 -0.55 -0.22 -0.15 0.66 -0.31 0.72 -0.14
1992 -0.31 -0.15 -0.29 0.34 0.13 0 0.24 0.3 0.02 -0.07 -0.69 -0.15
1993 -0.78 0.22 0.13 -0.41 -0.05 -0.46 0.05 -0.06 0.04 0.34 0.6 0.75
1994 1.62 1.72 1.15 0.88 0.45 0.34 0.48 0.31 0.37 0.74 1.25 0.81
1995 1.36 0.96 0.67 0.06 -0.14 0.36 -0.05 -0.33 0.09 -0.08 0.94 1.04
1996 1.23 1.51 0.81 0.66 -0.12 -0.02 0.44 0.14 -0.01 -0.28 0.68 0.19
1997 0.43 0.7 0.1 0.42 0.73 -0.22 0.16 0.47 0.04 0.61 0.84 0.44
1998 0.76 -0.3 0.62 0.23 -0.39 -0.34 -0.13 -0.17 -0.43 0.31 1.3 0.54
1999 0.65 1.02 0.27 0.69 0.46 0.48 0.2 0.77 0.6 0.44 0.49 0.43
2000 1.46 1.21 0.3 0.8 0.16 0.42 0.39 0.84 0.51 0.89 1.11 1.13
2001 1.69 1.95 1.58 1.16 0.53 1.21 1.28 0.81 1.21 1.1 1.56 1.36
2002 1 1.19 1.1 1.45 1.06 1.28 1.28 1.33 0.82 2.34 1.58 1.46
2003 2.79 2.3 1.38 1.1 1.24 1.19 1.57 1.19 0.86 1.23 0.87 1.95
2004 2.17 1.21 2 1.3 0.97 1.6 1.12 1.4 0.83 1.03 0.71 1.55
2005 2.55 1.57 2.26 0.74 1.36 0.32 0.74 1.3 0.52 0.95 0.61 1.22
2006 -0.1 1.36 1.29 0.17 0.5 0.26 -0.05 0.21 0.52 0.54 0.54 0.35
2007 0.37 1.33 0.96 0.86 0.58 0.45 0.05 0.29 0.03 0.14 1.04 1.63
2008 1.17 1.8 1.6 -0.1 -0.18 0.48 0.19 0.28 0.22 0.37 0.6 1.99
2009 2.74 1.54 1.3 0.67 0.26 0.84 0.93 0.7 0.86 0.6 1.15 1.07
2010 2.51 1.8 1.06 0.51 0.51 0.99 0.36 0.87 0.28 0.62 0.47 1.59
2011 2.17 1.84 1.87 0.96 -0.12 0.82 0.79 1.02 1.27 1.38 1.19 1.29
2012 2.1 2.83 0.95 1.39 0.96 1.33 0.63 1.2 1.13 1.63 1.56 1.56
2013 1.64 1.56 2.02 1.36 0.69 0.97 0.7 0.85 1.04 1.04 2.05 2.56