From Dr. Roy Spencer and from UAH, I’m a bit remiss in posting this due to travel, but better late than never – Anthony
UAH V6.0 Global Temperature Update for April, 2015: +0.07 deg. C
NOTE: This is the first monthly update with our new Version 6.0 dataset. Differences versus the old Version 5.6 dataset are discussed here.
The Version 6.0 global average lower tropospheric temperature (LT) anomaly for April, 2015 is +0.07 deg. C, down a little from the March, 2015 value of +0.14 deg. C (click for full size version):
The global, hemispheric, and tropical LT anomalies from the 30-year (1981-2010) average for the last 4 months for the old Version 5.6 and the new Version 6.0 are:
YR MON GLOBAL NH SH TROPICS
v5.6
2015 1 +0.351 +0.553 +0.150 +0.126
2015 2 +0.296 +0.433 +0.160 +0.015
2015 3 +0.257 +0.409 +0.105 +0.083
2015 4 +0.162 +0.337 -0.013 +0.074
v6.0
2015 1 +0.261 +0.379 +0.143 +0.119
2015 2 +0.157 +0.263 +0.050 -0.074
2015 3 +0.139 +0.232 +0.046 +0.022
2015 4 +0.065 +0.154 -0.024 +0.074
The global image for April, 2015 should be available in the next several days here.
The new Version 6 files, updated shortly, are located here:
Lower Troposphere: http://vortex.nsstc.uah.edu/data/msu/v6.0beta/tlt
Mid-Troposphere: http://vortex.nsstc.uah.edu/data/msu/v6.0beta/tmt
Tropopause: http://vortex.nsstc.uah.edu/data/msu/v6.0beta/ttp
Lower Stratosphere: http://vortex.nsstc.uah.edu/data/msu/v6.0beta/tls
From UAH via press release:
Global Temperature Report: April 2015
25th year of GTR begins with revised satellite dataset
Global climate trend since Nov. 16, 1978: +0.14 C per decade
April temperatures (preliminary)
Global composite temp.: +0.16 C (about 0.29 degrees Fahrenheit) above 30-year average for April.
Northern Hemisphere: +0.34 C (about 0.61 degrees Fahrenheit) above 30-year average for April.
Southern Hemisphere: -0.01 C (about 0.02 degrees Fahrenheit) below 30-year average for April.
Tropics: +0.07 C (about 0.13 degrees Fahrenheit) above 30-year average for April.
March temperatures (revised):
Global Composite: +0.26 C above 30-year average
Northern Hemisphere: +0.41 C above 30-year average
Southern Hemisphere: +0.11 C above 30-year average
Tropics: +0.08 C above 30-year average
(All temperature anomalies are based on a 30-year average (1981-2010) for the month reported.)
Notes on data released May 4, 2015:
“After three years of work, we have (hopefully) finished our Version 6.0 reanalysis of the global MSU/AMSU data,” said Dr. John Christy, director of the Earth System Science Center at The University of Alabama in Huntsville. “Many procedures have been modified, or completely reworked, and most of the software has been rewritten from scratch. Version 6 of the UAH MSU/AMSU global satellite temperature dataset is by far the most extensive revision of the procedures and computer code we have produced in more than 25 years of global temperature monitoring.
“The two most significant changes from an end user perspective are (1) a decrease in the global-average lower troposphere (LT) temperature trend from +0.14 C per decade to +0.114 C per decade from December 1978 through March 2015; and (2) the geographis distribution of the LT trends, including higher spacial resolution,” Christy said. “Barring a significant problem, these revised data will be incorporated into the May 2015 Global Temperature Report.”
The beta-test files of Version 6 have been released for review and comments.
A more thorough explanation of the dataset revision process is available here:
http://www.drroyspencer.com/wp-content/uploads/Version-61.pdf
The complete December 1978 through April 2015 version 6 beta lower troposphere dataset is available here:
http://vortex.nsstc.uah.edu/data/msu/v6.0beta/tlt/uahncdc_lt_6.0beta2
Compared to seasonal norms, the warmest average temperature anomaly on Earth in April was around the Kara Sea, north of central Russia. The April temperature there averaged 5.85 C (about 10.53 degrees F) warmer than seasonal norms. Compared to seasonal norms, the coolest average temperature on Earth in April was in Marie Byrd Land in West Antarctica, where the average April 2015 temperature was 3.07 C (about 5.53 degrees F) cooler than normal.
Archived color maps of local temperature anomalies are available on-line at:
Anyone accessing the satellite temperature anomaly dataset through the website should be aware that a problem in the code creating the USA49 column of numbers has been identified and corrected, changing the values reported for that column alone.
As part of an ongoing joint project between UAHuntsville, 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 —
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I am still seeking a normal human being, never mind normal temperature. Of course using myself as the baseline for “normal” has led to some inherent difficulties.
Normal people, are people, one does not know well. GK
Don’t worry, they will FIX it soon enough…
Than god that the El Ninometer is at 1.1 else we’d be turning up the thermostat.
Not sure where they get that +2ºc blob over Spain from. It never seemed to be that warm. These are just the simple mean temperatures from Wunderground:
Valencia
Year …. Max …. Avg …. Min
2015 …. 21 …. 16 …. 11
2014 …. 23 …. 18 …. 13
2013 …. 21 …. 15 …. 8
2012 …. 21 …. 17 …. 13
2011 …. 24 …. 17 …. 14
2010 …. 19 …. 15 …. 11
2009 …. 18 …. 14 …. 8
2008 …. 21 …. 17 …. 8
Avge …. 21 …. 16 …. 11
Same goes for Madrid too, which was slightly cooler than average.
Madrid
Year …. Max …. Avg …. Min
2015 …. 17 …. 14 …. 7
2014 …. 20 …. 16 …. 11
2013 …. 18 …. 12 …. 5
2012 …. 14 …. 11 …. 7
2011 …. 19 …. 16 …. 11
2010 …. 20 …. 14 …. 9
2009 …. 16 …. 11 …. 7
2008 …. 19 …. 13 …. 8
Avge …. 18 …. 13 …. 8
I certainly see nothing here that is 2ºc warmer. I presume that Lower Troposphere will equate well with surface temps – or is that too simplistic? The winds were easterly and noreasterly for much of the time, so I cannot see the lower troposphere being warm.
R
Thanks, Anthony. This 1-month Lower Troposphere temperature map is the best global “thermometer” we have. I’ll get to publish it in my climate and meteorology pages.
It is not yet available from http://nsstc.uah.edu/climate/
7/100 of a degree above normal? That is, if one defines the 1981-2010 baseline as normal. That time period makes a nice 30 year baseline for a dataset that only exists for 1979 to now, but it seems a stretch to call that normal.
Normal is based on the past 30 years. It will be updated. But you do understand why they chose is like this right? In case you don’t, it’s because you’re right, there’s no normal per se, but we need a baseline to identify trends.
Hadsst3 just came out for April. It set a new April record of 0.557, beating the April 2010 reading of 0.501.
How much of the globe does Hadsst3 cover? Does it cover the whole of the Southern Ocean which is below normal?
I am assuming it covers 70%, namely all liquid water.
That to me really takes away from the relevance of the data. 70% coverage is not good enough coverage to get the whole true picture of what is really happening in my opinion.
Comparison of ice and snow cover in the Northern Hemisphere on May 5th, 2014 and 2015.
http://igloo.atmos.uiuc.edu/cgi-bin/test/testimage.2.sh?first=20140505.jpg&second=20150505.jpg
http://wattsupwiththat.com/2012/04/11/does-co2-correlate-with-temperature-history-a-look-at-multiple-timescales-in-the-context-of-the-shakun-et-al-paper/
Shows no correlation.
There is no such thing as “normal”…we can calculate an “average”, or a “mean” …referring as “normal” then means everyday is “abnormal”. Please stop using “normal”
If one wishes to gain a “heads-up” as to imminent developments in ENSO and possible beginnings of an el Nino or La Nina event, I would advise turning to the Peruvian anchovy as an important but often overlooked oracle to the oceanography of the anchovy’s home ocean, the Pacific.
The Peruvian anchovy or “anchoveta” is an important fish to the global economy and to the diet of most of us. It is the world’s single largest fishery by landed tonnage, and is a principal component of fishmeal which is a major agricultural feed for farmed fish and animals. One can even order them direct as a pizza ingredient (the “Napoli” pizza for instance).
http://en.wikipedia.org/wiki/Peruvian_anchoveta
The anchovy is a filter feeder like a mini-whale, swimming with its mouth agape like a Guardian-reading greenie. This is the key to its huge success in exploiting the massive plankton productivity of the equatorial eastern Pacific off the coast of Peru. It is the archetypal pelagic (free-swimming) filter-feeder.
http://i60.tinypic.com/2a8oj60.jpg
The anchovy (E. ringens) is a pelagic filter-feeder – there are lots of them off the coast of Peru.
Anchovy – the ENSO fish
The Latin classification of the Peruvian anchoveta is Engraulis ringens (Jenyns, 1842). Like almost no other species on earth (certainly not your average Homo) the anchovy has an astonishing and profound instinctive knowledge of the ebb and flow of the El Niño Southern Oscillation – the ENSO. One could indeed reasonably call the anchovy the “ENSO fish”. The migrations, dispersals and gatherings, and year to year biomass peaks and crashes of the anchovy fishery in the eastern Pacific off Peru are tuned with exquisite sensitivity to ENSO itself. In particular it is the Peruvian upwelling, one side of the Bjerknes feedback (the other being the trade winds) which both couple intermittently to provide the bursts of positive feedback that drive El Niño and La Nina episodes. These two systems are characterised by weakening and strengthening respectively of this upwelling.
The first to know of any developments in the dark deep ocean currents way off the Peruvian coast, signifying portentous shifts in the upwelling stemming from the Humboldt current from Antarctica, is Engraulis the anchovy. Long before any clanking crass fish-imitating Argo floats (and their data-bothering PhD students), before any TAU or TRITON moored bathyscaphes, or satellite imagery, still longer before any armchair climate punditry, the anchovies respond in real time to upwelling changes with variations in the first-feeding survival and size of their juvenile year classes and their spatial distributions. Thus it was inevitably the Peruvian fishermen, heirs of the ocean abundance provided by E. ringens, who were discoverers of what they called El Niño (“the boy” in Spanish), the periodic anomalous warming of the eastern Pacific surface waters. This event is accompanied by a crash in the anchoveta numbers and catches, and typically occurs in December-January, the time of the celebration by the Christian Church of Christmas, the incarnation of the Christ-child.
El Niño is bad for the Peruvian fishermen since it is bad for the anchovy. Why then, one must speculate, did the Peruvians name this cursed event after the divine infant of their religion? Was there a streak of resentment or protest against their Catholic faith and its priests and offices? Or, perhaps, were so many fisherman heard to shout in frustration “Oh Cristo! Su cálida de nuevo!” (Oh Christ! – it’s warm again!) – like skeptical WUWT posters after every uptick in the global temperature anomaly – that the event became named after the blasphemously invoked member of the Holy Trinity.
The baleful influence of El Niño on the anchoveta is related to the transport of nutrients from deep to surface waters which accompanies upwelling, and which fuels the phytoplankton bloom which in turn provides the primary production which nourishes the vast shoals of anchovy which teem off Peru’s coastline and in fishermen’s nets. This is basic first-year marine biology. Primary production, the photosynthetic algal base of the marine food chain, is nutrient limited and thus one talks of blooms, and also of “bloom-and-bust”, as for example with spring sunshine, in temperate waters, the phytoplankton first grow rapidly but then run out of nutrients and die back abruptly (Paul Ehrlich should have been a marine biologist).
This is why coastal regions are the most biologically productive seas where ocean floor topography causes the upwelling essential to bring nutrient rich cooler bottom water up to fertilise the depleted upper layers. The vast expanses of the oceans by contrast have nutrient limited surface water – therefore the strikingly visible transition from green to blue colour of the sea as you move from fertile coastal water to the barren ocean deeps. The world’s most productive seas are in places such as the south west coast of Africa and, biggest of all, the Peruvian west coast of south America, where cold deep water originating in Antarctica and the Humboldt current wells up to sustain the world’s largest fishery, that of Engraulis ringens the anchovy.
http://i57.tinypic.com/1zv2xww.jpg
http://i61.tinypic.com/312iozs.jpg
Microscope images of phytoplankton single-celled algae, foundation of the marine food pyramid. They are beautifully sculpted microscopic creatures with exotic names like diatoms (upper) and foraminiferans (lower) as well as and radiolarians, dinoflagellates and coccolithophores.
In the presence of this upwelling, the east equatorial Pacific is cooler than surface waters further west, setting up a temperature and pressure gradient that drives the prevailing pattern of trade winds, the east to west (“easterly”) winds that for millennia have carried intrepid human seafarers from the Americas to populate the Pacific islands. As well as being impelled by this sea surface temperature difference, the trade winds further amplify the eastern Pacific upwelling by dragging the surface water westward, and this reinforcing positive feedback – the Bjerknes feedback – lies at the heart of the El Niño southern oscillation (ENSO).
However, this positive feedback can cut both ways. From time to time, initiated by no-one knows quite what (although hypotheses abound and swarm like the anchovies themselves) Kelvin waves of warm water surge eastward, interrupting the Peruvian upwelling. This warms the east Pacific surface water, reducing the temperature gradient on which the trade winds depend and thus choking them off, resulting in the dreaded “doldrums” – no wind and reduced upwelling off Peru. This slackening part of the Bjerknes feedback is the El Niño event. And in turn, the reduced upwelling is bad news for the anchovy as he has to stay deeper to access life-giving nutrients, and the Peruvian fishermen once more cry “O Cristo – El Niño!”.
El Niño now? What does the anchovy have to say?
So what significance does all this have to the current conditions in the Pacific? For more than a year now, ENSO-watchers have been on the edge of their seats waiting expectantly for El Niño to arrive (I call this “waiting for el Ninot”, theatrically adapted from http://samuel-beckett.net/Waiting_for_Godot_Part1.html ).
But El Niño has stubbornly resisted all entreaties to manifest itself like in the good old days of 1998 and even 2010. Now, again, the Nina3.4 index is rising into what on paper is El Niño territory so that those who feel the need, can proclaim that El Niño is here. But something is missing.
The problem is that the anchovy, the ENSO fish, does not seem to agree that El Niño is here. The latest on the Peruvian anchovy fishery can be found in the following article from the website “Undercurrent News” which gives up to the minute news on fisheries and fish markets around the world:
http://www.undercurrentnews.com/2015/04/24/peru-fishmeal-trading-on-hold-as-market-players-await-price-correction/
What is happening is this. Last year, the abortive El Niño conditions pushed the Peruvian fishery authorities to suspend anchovy fishing due to fears that a developing El Niño could cause a decline in anchovy numbers that would make the fishery susceptible to over-fishing. The Peruvian anchovy fishery is closely managed, in the wake of the famous and spectacular crashes of the fishery in the 1970’s and especially in 1982-83 caused by a combination of a strong El Niño event and poorly managed massive seine-net over-fishing. Despite strengthened fishery management following those crashes, the record-breaking El Niño in 1997-1998 again hit the fishery hard with significant societal impacts for Peru.
http://www.ucar.edu/communications/gcip/m12anchovy/m12html.html#6_4
So early this year, in the month of January-February when an annually phase-locked El Niño by rights ought to occur, Peruvian fishery ministry survey boats tentatively checked out the anchovy fishery – how many shoals of anchovy were out there, and where? What they found was that in spite of all the feverish talk of El Niño, the anchovy fishery was in surprising rude health. This caused them to cancel a previously considered suspension of the whole fishing season (a relatively frequent occurrence for the anchovy fishermen of Peru) and allow a full quota season to proceed.
http://i57.tinypic.com/2i1fhnb.jpg
Seine-net industral fishing for anchovy off Peru.
The latest news as of April 24 is that the fishing fleet is proceeding quite rapidly toward catching the entire season quota of anchoveta. However what is also interesting is what the fish meal market is doing. As mentioned in the introduction, the Peruvian anchovy dominates the global supply of prime fish meal and, as might be expected, China dominates the demand. When there is a discrepancy between what a commodity is expected to do and what it actually does, markets sometimes pause to take stock and see what will happen. Right now, contrary to predictions of the fishery being hit by the long-expected El Niño, the fishery is strong and sustaining high catch volumes. Since this will cause the price to decline, the market is anticipating this and holding back on prime fishmeal orders. In the words of a Peruvian exporter:
“We don’t want to take risks and close at a price now, as we don’t know the development of the fishing season. We hope to finish the fishing season in May, a month earlier than it is supposed to end, as catches are good so far.”
Of course, there is still the expectation of renewed surges of Kelvin waves and the final, long awaited epiphany of El Niño. This is causing uncertainty among those with an interest in the fishery since on the one hand, it is currently in robust health, but on the other, there is this ongoing expectation of el Niño crashing in to spoil the party.
In my view, however, the continued strength of the anchovy fishery indicates that upwelling is still strong and yet to be interrupted by Kelvin waves and a nascent el Niño. It is possible that the inception of a proper, full-on el Niño requires not just meteorological conditions or other surface factors, but a simultaneous development in the ocean currents and mixing, linked to the thermohaline ocean circulation, to entrain the Bjerknes feedback to trigger a pause in the upwelling.
Conclusion
My conclusion is just this – if we are interested in the ENSO status of the Pacific and what might lie ahead, where better to turn than the wise and all-knowing Engraulis ringens?
Therefore – might it be an idea to add, to the already impressive resources of climate reference information (ocean, atmosphere, ice, sun, magnetism etc.) at WUWT, a link to the spot price of prime fishmeal, and the latest on the Peruvian anchovy?
Thank you phlogistan, very informative and entertaining as well. I take back back what they said about your theory back when I started studying science.
Whoops, phlogiston
Tsunami Animation: Northern Chile, 1 April 2014
As usual, much ado about nothing. Next thing you’ll have kittens about is how today’s Temps are cooler than yesterdays temps, and how that debunks AGW.
Sheesh.
Don’t worry. Your belief system should get reinforced when we hear that the forming tropical system off the southeast US coast is due to AGW. That is, unless we hear the Oklahoma tornadoes being attributed to it first…
Show me one example of a climate scientist stating that AGW causes tropical storms or tornados.
“Climate change is present in every single meteorological event…”
Michael Mann in an article about tornados.
http://www.washingtonpost.com/blogs/capital-weather-gang/wp/2013/05/06/tornado-doom-then-tornado-drought-both-linked-to-climate-change/
The world temperature anomaly map (not the glowing coals we see from NOAA, NASA, etc), is a perfect example of negative feedbacks. Note the cooling around the equatorial zone where 80% of the solar energy is imparted to the earth. Were it not for strong negative feedback this picture would not be possible. Note the anomalously warm regions are the temperate to polar which only get 20% of the suns energy. The polar regions are receivers and emitters of heat to outer space.
I was in Lagos, Nigeria – 4 degrees north of the equator in 1965 and the temperature was, basically the same then as now. I visited it again in 1998 and the temperature was once again about the same. Here, from 1949 if you want to see a narrow temp variation:
https://weatherspark.com/history/28568/1949/Ikeja-Lagos-Nigeria
” The hottest day of 1949 was March 24, with a high temperature of 34°C. For reference, on that day the average high temperature is 33°C and the high temperature exceeds 34°C only one day in ten. The hottest month of 1949 was March with an average daily high temperature of 33°C.”
And:
“The coldest day of 1949 was September 23, with a low temperature of 22°C. For reference, on that day the average low temperature is 24°C and the low temperature drops below 23°C only one day in ten. The coldest month of 1949 was February with an average daily low temperature of 24°C.”
And today in May 2015 (an intermediately warm month)?
High 32 low 24/25 !!
I would like to note that the population of Lagos in 1960 was <800,000 and in 2015 it was 23 million. There is NO UHI IN LAGOS, NIGERIA DESPITE A 30-FOLD INCREASE IN POPULATION. In the ITCZ (equatorial topics), no matter where the heat comes from, a negative feedback gets rid of it. Is this something noted by climate science before? No UHI in the tropics.
Gary, did you see:
http://wattsupwiththat.com/2015/05/03/le-chatelier-and-climate-change-now-includes-march-data/#comment-1927308
Thanks!
Are you going to post every time there’s a colder month? Seriously, what kind of website is this… It’s called CLIMATE not WEATHER!!
Look above to compare the ice cover in May 2014 and 2015 in the northern hemisphere. It is important how much ice and snow will melt until September.
There is a WUWT post with every month’s global temperature update.
Just learn to take the rough with the smooth.
“…Its called CLIMATE not WEATHER!!”
Please mention this to the main stream media, which includes all of the liberal/progressive weather “information” sites (e.g. “Weather Underground” and “The Weather Channel”). Thanks!
March temperatures (revised):
Global Composite: +0.26 C above 30-year average Northern Hemisphere: +0.41 C above 30-year average Southern Hemisphere: +0.11 C above 30-year average
————-
Shouldn’t “30-year average Southern Hemisphere: +0.11” be “-.11” which would properly calculate the +.26 c above 30 -year average??? Am I just confused?
http://arctic.atmos.uiuc.edu/cryosphere/IMAGES/seaice.anomaly.antarctic.png
The Global Composite is made by adding the Northern + Southern hemispheres together and dividing by two. Northern +.41C, Southern +.11C = +.52C, divided by two = a global composite of +.26*C over the 30 year average.
it should say average, not normal. We don’t know what normal is, only the average since we have started measuring temperatures. We don’t know how that compares to the past couple billion years. The Climate has had many fluctuations and it is fluctuating now, some people call it CLIMATE CHANGE.
http://wattsupwiththat.com/2015/05/06/global-temperature-down-in-april-just-7100ths-of-a-degree-above-normal/
Thanks, Eliza. We get what we pay. But we didn’t pay for THAT.
Best regards – Hans
wall street is a subsystem of north america is a subsystem of the globe is a subsystem of the sun system is a subs….
Sole Models, operating just 1 hedgefond sustainable – where to buy?
____
incremented to / incremented to / inc…. where to buy?
you see the consequences – that modelling wall street, for nix, ruins wall street competitors to nix.
And all them metasystem heading metasystem heading …
____
the winner always is the 1st winner of 1 small advantage.
7/100ths of a degree!!!!! In some places like Alice Springs, the temperature in winter can vary by 20 degrees in a day starting off cold early in the morning to warm by lunch time. And people worry about 7/100ths of a degree determined only by arithmetic calculation because it is undetectable on a thermometer.