Global Temperature Report: December 2013

2013 was 4th warmest year in the satellite era

From University of Alabama, Hunstville.

Dec2013graph (1)

Global climate trend since Nov. 16, 1978: +0.14 C per decade

December temperatures (preliminary)

Global composite temp.: +0.27 C (about 0.49 degrees Fahrenheit) above 30-year average for December.

Northern Hemisphere: +0.27 C (about 0.49 degrees Fahrenheit) above 30-year average for December.

Southern Hemisphere: +0.26 C (about 0.47 degrees Fahrenheit) above 30-year average for December.

Tropics: +0.06 C (about 0.11 degrees Fahrenheit) above 30-year average for December.

November temperatures (revised):

Global Composite: +0.19 C above 30-year average

Northern Hemisphere: +0.16 C above 30-year average

Southern Hemisphere: +0.23 C above 30-year average

Tropics: +0.02 C above 30-year average

(All temperature anomalies are based on a 30-year average (1981-2010) for the month reported.)

Global map for December:

Dec2013map

For the year:

2013map

Notes on data released Jan. 3, 2014:

2013 was the fourth warmest year in the satellite era, trailing only 1998, 2010 and 2005, according to Dr. John Christy, a professor of atmospheric science and director of the Earth System Science Center at the University of Alabama in Huntsville. The warmest areas during the year were over the North Pacific and the Antarctic, where temperatures for the year averaged more than 1.4 C (more than 2.5 degrees Fahrenheit) warmer than normal. There were small areas of cooler than normal temperatures scattered about the globe, including one area over central Canada where temperatures were 0.6 C (about 1.1 degrees Fahrenheit) cooler than the 30-year norm.

Global average temperature

(Departures from 30-year norm, degrees C)

1. 1998   0.419

2. 2010   0.398

3. 2005   0.260

4. 2013  0.236

5. 2002   0.218

6. 2009   0.209

7. 2007   0.204

8. 2003   0.187

9. 2006   0.186

10. 2012   0.170

11. 2011   0.130

12. 2004   0.108

13. 2001   0.107

14. 1991   0.020

15. 1987   0.013

16. 1995   0.013

17. 1988   0.012

18. 1980  -0.008

19. 2008  -0.009

20. 1990  -0.022

21. 1981  -0.045

22. 1997  -0.049

23. 1999  -0.056

24. 1983  -0.061

25. 2000  -0.061

26. 1996  -0.076

27. 1994  -0.108

28. 1979  -0.170

29. 1989  -0.207

30. 1986  -0.244

31. 1993  -0.245

32. 1982  -0.250

33. 1992  -0.289

34. 1985  -0.309

35. 1984  -0.353

Compared to seasonal norms, in December the warmest area on the globe was the northeastern Pacific Ocean, where the average temperature for the month was 4.91 C (about 8.8 degrees F) warmer than seasonal norms. The coolest area was in central Manitoba, near Lake Winnipeg, where temperatures in the troposphere were 5.37 C (almost 9.7 degrees F) cooler than seasonal norms.

Archived color maps of local temperature anomalies are available on-line at:

http://nsstc.uah.edu/climate/

As part of an ongoing joint project between UA Huntsville, NOAA and NASA, Christy and Dr. Roy Spencer, an ESSC principal scientist, use data gathered by advanced microwave sounding units on NOAA and NASA satellites to get accurate temperature readings for almost all regions of the Earth. This includes remote desert, ocean and rain forest areas where reliable climate data are not otherwise available.

The satellite-based instruments measure the temperature of the atmosphere from the surface up to an altitude of about eight kilometers above sea level. Once the monthly temperature data is collected and processed, it is placed in a “public” computer file for immediate access by atmospheric scientists in the U.S. and abroad.

Neither Christy nor Spencer receives any research support or funding from oil, coal or industrial companies or organizations, or from any private or special interest groups. All of their climate research funding comes from federal and state grants or contracts.

— 30 —

Dr. Roy Spencer’s report:

The Version 5.6 global average lower tropospheric temperature (LT) anomaly for December, 2013 is +0.27 deg. C, up from +0.19 deg. C in November (click for full size version):

UAH_LT_1979_thru_December_2013_v5.6

The global, hemispheric, and tropical LT anomalies from the 30-year (1981-2010) average for the last 12 months are:

YR MON GLOBAL NH SH TROPICS

2013 01 +0.496 +0.512 +0.481 +0.387

2013 02 +0.203 +0.372 +0.033 +0.195

2013 03 +0.200 +0.333 +0.067 +0.243

2013 04 +0.114 +0.128 +0.101 +0.165

2013 05 +0.082 +0.180 -0.015 +0.112

2013 06 +0.295 +0.335 +0.255 +0.220

2013 07 +0.173 +0.134 +0.211 +0.074

2013 08 +0.158 +0.111 +0.206 +0.009

2013 09 +0.365 +0.339 +0.390 +0.189

2013 10 +0.290 +0.331 +0.250 +0.031

2013 11 +0.193 +0.160 +0.226 +0.020

2013 12 +0.265 +0.273 +0.257 +0.057

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Pippen Kool
January 4, 2014 9:37 am

And looking at the other high years:
02 ENSO event starting in the year, more than 6 months
09 ENSO event starting in the year, 6 months
07 preceding 06/07 ENSO event
03 preceding 02/03 ENSO event
06 ENSO event starting in the year, but only 3 months
12 mainly negative ENSO event.
So 2012 is the highest year with La nina conditions, and it breaks into the top ten.
And 2013 is the highest year with no ENSO event at all, and it breaks into the top 5.
I know that Tisdale is going on vacation, but shouldn’t he be given a chance to argue how this does or doesn’t falsify his ENSO hypothesis for global warming? I hesitate to paraphrase it in one sentence, but it goes something like positive phases of the ENSO (not increases in [CO2]) are the main cause of global warming.
But please Bob, can you do it in 500 words and 1 figure!!!

Charlie
January 4, 2014 9:43 am

There is a constant regression to the mean (cycles), but the mean has been going up since the 19th century. I simply can’t understand people who claim that global temperatures are cooling when you look at the 150 year graph.

RichardLH
January 4, 2014 9:47 am

Pippen Kool says:
January 4, 2014 at 9:37 am
“2013 is the highest year with no ENSO event at all, and it breaks into the top 5.”
http://www.woodfortrees.org/plot/hadcrut4gl/plot/hadcrut4gl/mean:220/mean:174/mean:144/plot/hadcrut4gl/mean:720
It looks like 2013 was also at or around the third peak in the 60 year cycles as recorded in the thermometer record.
The underlying 100+ year cyclic trend to those shorter 60 year cycles may or may not yet be at a peak. Give it another few years and we should be able to tell more accurately (as opposed to guessed/modelled).

barnrat
January 4, 2014 10:09 am

Why is Lake Michigan freezing over? Why was a records set for sea ice on December 28? Why did my power get knocked out by iced power lines? Al Gore says CO2 but I say low sunspot count.

David Harrington
January 4, 2014 10:19 am

I once worked with a James Abbot, I wonder if it is this one? That one certainly looks like this one, always right no matter what arguments were put to him or evidence presented.
So James , I use my real name as you do, have we met before?

G. Karst
January 4, 2014 10:26 am

G karst
Do you live in Canada?
Where this is happening?
I’m 48 and have live all across Canada
The ground has never quaked from ice
Only ice on things

I am somewhat of an international character. I have resided in various countries throughout my life. I spent most of my life in Canada, from the cold prairies, to the frozen North. I am much older than you and experienced first hand the cold of the 70’s as well as the 50’s and 60’s.
During the ice storm I was in Barrie. Last night, I was in Owen Sound. How does this validate the hypothesis or falsify it??
Of the many years, I have wandered the Canadian wilderness, I have never seen a wolverine… tracks… yes… but a visual… no. This does not mean wolverines do not exist.
Like I said, I am not saying you are wrong… just unconvincing. I have heard and seen many strange phenomena concerning snow, ice, and especially frost upheavals (tree roots snapping like gunshots). Please take my testimonial, for the goodwill anecdote, that it was offered, as I cannot say, for sure, what phenomena, was being reported last night, in Toronto. Can you?? GK

Gail Combs
January 4, 2014 10:30 am

Rob says: January 4, 2014 at 9:31 am
… The ground has never quaked from ice…
>>>>>>>>>>>>>>
When living in northern New York I have seen the ground “quaked from ice”
If you have an early thaw that gives you a layer of mud on top of frozen ground followed by a hard freeze you get ground that is raised up and when you try to walk on it your feet sink past the top crust, past the air pocket to the firm ground below.
It is a royal pain in the butt to walk on.

Stephen Richards
January 4, 2014 10:51 am

Charlie says:
January 4, 2014 at 9:43 am
There is a constant regression to the mean (cycles), but the mean has been going up since the 19th century. I simply can’t understand people who claim that global temperatures are cooling when you look at the 150 year graph.
Charlie, you must remember that the temperatures of the past have been downward manipulated and of the present upward. The temperature record has been so damaged as to be of no use at all. The satelite record is more reliable but is still accurate enough to claim warming or cooling since 1988.

Charlie
Reply to  Stephen Richards
January 4, 2014 11:09 am

If the data have been manipulated, can you point me to original data that have not been altered? The implication of what you are saying is that there are no reliable data to make any inferences.

January 4, 2014 10:59 am

Pippen Kool,
2013 was an outlier.

January 4, 2014 11:19 am

The UAH v 5.6 chart above is fascinating. I am not a climate scientist, but one used to pulling out underlying stock market movements due to changing money supply. If that was a Standard & Poors 500 Chart I would be firmly of the opinion that the market had peaked based on the 13 mth moving average. That picks up the turning point.
Further corroboration is that the 2010 peak is below the 1998 one. Also the current level is struggling to keep up with the levels through 2002-2007. That can be interpreted as showing some underlying driver trying to establish a position. You may not know what it is but one can see it. With the stock market that’s money supply, reflected in the Feds monthly increased Government indebtedness.Current stock market price levels can be expressed as a function Price¹ = Valueº x (Liquidity¹/Liquidityº). Liquidity is like an external force or composite of them which act independently on the variable Value (itself a function of earnings (cubed!).)

john robertson
January 4, 2014 11:19 am

11:09
Now there is the rub.
The temperature records from the world were in the hands of the Climate Research Unit, who produced the official IPCC record of land temperatures 1850 to present.
When asked for their data, methods and error ranges…. they created the Climate Gate fiasco.
Harry Read Me…
Now the subsequent inquires were very revealing, in a back handed kind of way.
As in a blinder well played, old chap.
The CRU admitted they had “lost” the original data.
The MET was supposedly tasked with regathering this data, they said it would take about 3 years.
3 years is up.
Data?

Gail Combs
January 4, 2014 11:20 am

Charlie says:
January 4, 2014 at 11:09 am
If the data have been manipulated, can you point me to original data ….
There is this:
http://jonova.s3.amazonaws.com/graphs/giss/hansen-giss-1940-1980.gif
http://stevengoddard.wordpress.com/data-tampering-at-ushcngiss/
http://i31.tinypic.com/2149sg0.gif
You can ask Steve Goddard for the orginal data or Jo Nova.

Charlie
Reply to  Gail Combs
January 4, 2014 11:42 am

Thanks. The 1980 and 2007 graphs in the first site are basically the same curve (cutting of the 2007 chart at 1980 to make is commensurate), with some small variations in absolute temps. The middle one is indeed off a bit more and you have a point.
US temperatures are not really as relevant as global ones.
I will look for the raw data and not just the variation from some arbitrary benchmark. Need to see the actual temps averaged.
Thanks for getting back.

Werner Brozek
January 4, 2014 11:37 am

Richard M says:
January 4, 2014 at 5:23 am
Looks reasonable but then that begs the question of why there was such a large amount of evaporation at that time. Any ideas from anyone?
Is it possible it was windier than normal, or that we had more cyclones, etc?

climatereason
Editor
January 4, 2014 11:46 am

Charlie
I discussed this with Mosh a few weeks ago. Here is various data including the original Hansen submission to congress in 1988 complete with graph. Mosh explains why it is possible to reduce temperatures years after the event. Im still not convinced
From: Tony Brown
Sent: Thursday, September 26, 2013 3:18 PM
Subject: hansen senate hearing papers
http://image.guardian.co.uk/sys-files/Environment/documents/2008/06/23/ClimateChangeHearing1988.pdf
see figure 1 for global 5 year mean
here is latest giss
http://data.giss.nasa.gov/gistemp/graphs_v3/Fig.A.gif
temperatures seem to have warmed in later years and cooled in 1940’s
http://data.giss.nasa.gov/gistemp/graphs_v3/
hansen lebedeff 1987
http://pubs.giss.nasa.gov/docs/1987/1987_Hansen_Lebedeff.pdf
—– —–
Steven Mosher | September 27, 2013 at 11:18 pm |
Sure tony.
First, its hard to reconstruct piece by piece all the changes that
VARIOUS people made that result in the changes you see.
But let me have a wack.
First, understand that the GISS answers are the result of
Data input and Algorithm.
1. Data input.
There are two principle causes. First is the change in the core dataset. The moves throuh various versions of USCHN will result in changes because the processing of that data changed. Essentially the big adjustments for TOBS and other bits in the US.
By looking at datasets outside USCHN we can see that these adjustments are justified. In fact the adjustments are calibrated by looking at hourly stations close to the USCHN stations.
Next, the GISSTEMP algorithm will change the estimates of the past
as New data for the present comes in. This has to do with the RSM method. This seems bizarre to most folks but once you walk through the math you’ll see how new data about say 1995, changes what you think about 1945. There are also added stations so that plays a role as well.
2. ALgorithm side of things. You have to walk back through all the papers to to get an idea of the changes. But they do impact the answer.
The fundamental confusion people have is that they think that global indexs are averages. And so if Hansen average 1945 in 1987, then why does his average of 1945 change in 2012? Makes no sense right?
Well, it does make sense when you understand that
1. These algorithms do not calculate averages. They estimate fields.
2. If you change the data ( add more, adjust it etc )
3. If you improve the algorithm, your estimate of the past will change. It SHOULD change.
I’ll illustrate this with an example from out work.
To estimate a feild we have the climate field and a correlation field.
When we go back in time, say before 1850, we make an assumption.
The correlation structure of the past will be like the structure of the present. A good skeptic might object.. how do you know?
well, the answer is.. we dont. thats why it has to be assumed.
The structure could be different. I imagine somebody could say
” use this structure I made up” well, you could do that, you could calculate that. you could make a different assumption.. not sure how you would justify it. Therefore, if we get new data which changes our understanding of today that will cascade and reform what we thought the past was.. principly because of the uniformity assumption.
What is kewl is that there are a bunch of data recovery projects going on.. WIth our method we dont need long records. So,
I have predictions for locations in 1790. That prediction was made using a climate field and correlation field. There are no observations at that location. When the recovery data gets posted then I can check the prediction.
http://judithcurry.com/2013/09/27/95/#comment-388617
—– —
hope this helps Charlie
tonyb

Charlie
Reply to  climatereason
January 4, 2014 12:17 pm

Tony:
Thank you so very much. I will now spend my Sat. going through this. This is much appreciated.
Charlie

January 4, 2014 11:50 am

heysuess says:
January 4, 2014 at 6:19 am
Total atmospheric CO2 = ~400ppm and total anthropogenic CO2 = ~13ppm.
There is no way that I want to get into a discussion about the sources of CO2, but many feel that since it was presumably 280 ppm in 1750, mankind has contributed 120 ppm since then. In the minds of many, you have to differentiate between man’s yearly input and man’s cumulative input.

Jared
January 4, 2014 12:01 pm

Interesting tidbit about Urban Heat Islands (UHI). I work 3 miles from where I live. I’ve notice over the past few days a huge difference in temps in those 3 little miles. It was 1 degree in the parking lot at work, I park my vehicle about 150 feet from the building (google earth calculated distance). By the time I got home (just 3 miles away) it was -7 degrees. An 8 degree drop. Some of my fellow co-workers said it was -12 where they lived. I live 1 mile outside of town and my co-workers with -12 were even further outside of the UHI of our little 6,000 population town. I’ve been paying attention since temps have been hovering around 0 and it’s been a good 5+ degree difference between where I work and live (just a 3 mile difference). The building where I work was constructed in the 1970’s before that it was farmland. But my eyes must be deceiving me because UHI doesn’t exist, especially in small towns of 6,000 people.

January 4, 2014 12:17 pm

Pippen Kool says:
January 4, 2014 at 8:53 am
So 98, 05 and 10 were high because of the preceding 97/98, 04/05 and 09/10 ENSO events.
That means that 2013 is the highest year with _no_ ENSO event, preceding or otherwise, which is something of a record.

That ranking of 4th applies to UAH version 5.6. For version 5.5, it is 7th for the year. RSS ranks 10th for the year. And after 11 months, the ranking for HadCRUT4, HadCRUT3, Hadsst3 and GISS are 8thfor HadCRUT4 and 6th for the last three.

Splice
January 4, 2014 12:18 pm

@Pippen Kool
I could bet large money that the year after nearest future El Nino will be warmest on record. Unfortunately all “skeptics” will reject this proposition. No of them believes their own claims (that the warming have stopped).
Pippen Kool

TB
January 4, 2014 12:26 pm

Ronald says:
January 4, 2014 at 2:35 am
J Abbott,
Classic AGW, and thus showing no competence to the matter.
99% of the skeptics know that CO2 is a greenhouse gas and is warming the planet. But the important question is by how much. And we skeptics know that’s very little. In fact you could know it yourself by a test, you probably know, to scare the crap out of students. You know the experiment with the 2 closed boxes and the light bulbs? Yes you know and you love it because it proves you’re right; wrong. In 1 box there is 100% CO2 and in the other 100% air with 0,4% CO2. If the result for 100% CO2 is 6 you can calculate what 0,4% CO2 does. Thats 0,004%, wrong again. CO2 radiates only 8% of the warming back and 5% of that goes back to earth. So the number is even lower.
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
Ronald:
I’m afraid you miss out a vital variable that need to be added to your above “experiment”…
Your “boxes” (usually the experiment is done in tubes), need to change to properly quantify the CO2 concentration GHE in them. Because of the nature of transmission decay (logarithmic).
When IR first encounters CO2, it’s soon absorbed as its near the peak of the absorption spectrum. Because of shape of the curve of absorption vs. wavelength, the transmission decreases rather quickly, but as path-length grows due to lower CO2 then there is increasingly less absorption (molecules further apart).
The GHE of Earth can be simulated by a 2.5m tube of pure CO2 (SL pressure at 20C). In order to simulate the effect of repeated doubling of CO2 concentration in the atmosphere we need to keep doubling the LENGTH of the tube and keep the CO2 concentration the same (in exp it’s already 100% anyway).
In other words – if the concentration of the obscuring molecule decreases then the effective time/length of a photon’s path through the medium before encountering a CO2 molecule will be longer, and vice versa. So to quantify the effect of 0.04% concentration vs 100% then a much longer tube (box) is needed for the rarefied gas molecules to intercept the IR.
The Earth’s atmosphere has a very long absorption path available and this needs to be properly quantified in lab experiments.
Also we need to understand how pressure affects absorption lines, at low pressures it narrows them so they do not overlap, leaving narrow emission windows between the absorption lines. That is, the absorption coefficient on the whole tends to go down linearly with pressure. So high in the atmosphere adding some greenhouse gas must warm the Earth regardless of how the absorption works.
WV is much less abundant aloft and this combined with the narrowing of the absorption lines means that what IR the WV would normally have intercepted WILL instead be made by CO2. Which if NOT there would go straight to space. It is high up that is important, as that is where LWIR is finally emitted to space. It’s the outside door and the more CO2 put into the atmosphere the more that door closes.
In the high/thin layers of the atmosphere where LWIR from lower down slips through, if we add more greenhouse gas molecules the layer will absorb more of the rays. So the place from which most of the heat energy finally leaves the Earth will shift to higher layers. Those are colder layers, so they do not radiate heat as well. The planet as a whole is now taking in more energy than it radiates (which is in fact our current situation). As the higher levels radiate some of the excess downwards, all the lower levels down to the surface warm up. The imbalance must continue until the high levels get hot enough to radiate as much energy back out as the planet is receiving.

January 4, 2014 12:29 pm

Splice saqys:
“Unfortunately all ‘skeptics’ will reject this proposition.”
This skeptic accepts your proposition. Not because I can see the future [I can’t], but in the interest of fun.
So: how much? ☺

Larry Ledwick
January 4, 2014 12:32 pm

Richard Barraclough says:
January 4, 2014 at 7:07 am
One or two people seem to have latched on to the idea of temperatures following a 60-year cycle. So how do today’s temperatures compare to those in the early 50′s?

I suspect the cycle is not a pure 30 year + 30 year – cycle. You are dealing with cycles imersed in other cycles, plus random chaos effects, but there is clearing a cyclic nature to the variations.
In the central Rocky Mountain West we had much colder winters when I was younger. In the mid 1950’s I remember a local lake in Metro Denver being frozen over with ice thick enough for people to drive cars out onto the lake to go ice fishing. It has not frozen like that since the mid-late 1960’s. The first time I was old enough to really be aware of temperatures were in the early 1960’s and we got down to -30 deg F in the west metro suburbs, and deep in the -20’s on several occasions. I remember that very vividly due to struggling to get cars started in those severe cold temps. It was cold enough that motor oil turned to jelly at those temps (before multi-weight motor oil was used by almost everyone). We had to put a charcoal BBQ grill under the car to warm the engine oil enough to get it to crank (good way to set the car on fire, several people managed to do that by not watching it closely). My Dad would put a heavy blanket over the hood at night, and place a 60 w incandescent drop light on top of the engine to keep the engine warm enough to be easily started. From about 1962 (year we hit -30) until the 1980’s we had very difficult winters on a regular basis all over the plains states up through the great lakes region. This is why the media was talking about the coming ice age in the late 1970’s. Not every winter but often enough that they were considered normal.
During the winter of 1973-74 the City of Denver ran out of room to pile the snow plowed off the streets and had to use the center of major down town streets to stack the snow. There was a pile of snow 3+ ft deep, covering the center lane of Broadway for miles and miles so the other lanes could be cleared. It was tall enough it was difficult to see over it when sitting in a car to check for cross traffic at the intersections. During the blizzard of 1982, it was worse simply shut the city down for several days (and cost the mayor his job due to is poor efforts to clear the streets.)
Some reports of major storms of that period.
http://en.wikipedia.org/wiki/Ash_Wednesday_Storm_of_1962
http://www.youtube.com/watch?v=QEfjAn7KUIc (blizzard 1964)
http://www.chicagotribune.com/news/politics/chi-chicagodays-1967blizzard-story,0,1032940.story
http://www.erh.noaa.gov/cle/wx_events/Blizzard78/blizzard/blizzard78.html

http://ww2.ohiohistory.org/etcetera/exhibits/swio/pages/content/1977_blizzard.htm
http://www.amazon.com/Blizzard-77-Great-Plains/dp/1478718846
http://www.mlive.com/news/muskegon/index.ssf/2013/01/lookback_blizzard_of_1978_buri.html
http://www.julesburgadvocate.com/ci_22395163/blast-from-past
http://www.examiner.com/article/storms-of-christmases-past-denver-s-christmas-eve-blizzard-of-1982
On the west side of town snow drifts 4+ ft deep blocked access to entire neighborhoods.
I was pushing through snow head light deep on a 1976 Jeep Cherokee. People were going to local stores on skies and snow shoes for bread and milk. Stores were sold out within 12 hours after the weather cleared enough for people to move. Two days later the local bakery announced they were baking bread but would not deliver. Using my jeep I picked up a load of bread for a local convenience store. It was the only way she could get bread to sell to snow bound residents who were walking to the store in knee deep snow.
http://voices.yahoo.com/top-10-snowiest-winters-chicago-history-7537216.html
http://www.crh.noaa.gov/pub/climate/co1900.txt
1977 March 19…Colorado Springs receives 13.4 inches of snow
with winds gusting to 52 mph. East of the city, 82 mph
winds were reported. The worst of the storm was from
Colorado Springs to Limon. Army helicopters and half-
tracks were used to rescue stranded people. Five known
dead, and $4 million in property loss and damage.
1982 December 24…Snow started falling in the early morning on
Christmas Eve and continued until sunrise Christmas Day.
Winds gusting to 45 mph kept visibility near zero most of
the day. Snow plows were unable to keep up with the storm
until the 25th, as snow drifts of 6 to 10 feet were common.
Pueblo only received 2 inches of snow from the storm.
1984 October 15-16th..The BRONCO blizzard. Storm started while
the Bronco’s were playing on national TV. Denver received
1 to 3 feet of snow; only 15 inches in Colorado Springs
and 1.4 inches at Pueblo. Winds gusted to 55 mph shutting
down I-25 from Denver to Colorado Springs, and numerous
flights in/out of Colorado Springs and Denver were canceled
due to blowing and drifting snow.
1987 January 15…Winter storm system arrives late on the 14th
covering the area from Colorado Springs to Pueblo, and the
surrounding area. Snowfall totals include: Colorado Springs
22 inches; Rye 42 inches; Colorado City 20 inches;
Pueblo 9 inches; Canon City 10 inches.

January 4, 2014 12:34 pm

Splice says:
January 4, 2014 at 12:18 pm
I could bet large money that the year after nearest future El Nino will be warmest on record. Unfortunately all “skeptics” will reject this proposition.
I would not bet on that if I were you. The following all still have 1998 as the hottest year even though there have been El Ninos since then: UAHversion5.5, UAHversion5.6, RSS, HadCRUT3, Hadsst2, and Hadsst3.

richardscourtney
January 4, 2014 12:41 pm

climatereason:
Thankyou for the report of your conversation with Steven Mosher which you provide at January 4, 2014 at 11:46 am
http://wattsupwiththat.com/2014/01/03/global-temperature-report-december-2013/#comment-1524307
I had to laugh at this

Therefore, if we get new data which changes our understanding of today that will cascade and reform what we thought the past was.. principly because of the uniformity assumption.
What is kewl is that there are a bunch of data recovery projects going on.. WIth our method we dont need long records. So,
I have predictions for locations in 1790. That prediction was made using a climate field and correlation field. There are no observations at that location. When the recovery data gets posted then I can check the prediction.

So, according to Steven Mosher when they don’t have data”for locations in 1790″ they ‘predict’ data for 1790 it using assumptions based on data from 2013.
That is ludicrous.
It is like saying that if I know what the price of beans is at Tesco and Asda this week then I can deduce the price of beans in Asda last year if I know what the price of beans then was in Tesco. Furthermore, if I gain information on the price of beans in Tesco, Asda and Morrison’s next week then I should alter my deduction of last year’s price of beans in Tesco.
If you don’t have the data from 1790 then you don’t have the data from 1790. Whatever Steven Mosher wants to claim, any algorithm which “predicts” the missing data is ‘making stuff up’.
Richard

January 4, 2014 12:42 pm

Werner! You might have cost me some E-Z money! ☹

Box of Rocks
January 4, 2014 12:48 pm

TB says:
January 4, 2014 at 12:26 pm
WRT to your experiment…
So we can calculate how much energy the CO2 will aborsorb and then with proper instrumentation we can then measure that energy given off, right?

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