INITIAL NOTE: I’ll provide an update on the North Pacific blob soon.
MONTHLY SEA SURFACE TEMPERATURE ANOMALY MAP
The following is a Global map of Reynolds OI.v2 Sea Surface Temperature (SST) anomalies for March 2015. It was downloaded from the KNMI Climate Explorer. The contour range was set to -2.5 to +2.5 deg C.
March 2015 Sea Surface Temperature (SST) Anomalies Map
(Global SST Anomaly = +0.174 deg C)
MONTHLY GLOBAL OVERVIEW
Global Sea Surface Temperature anomalies were basically unchanged since last month, an increase of less +0.01 deg C from February to March. A decrease in the Northern Hemisphere was more than countered by an increase in the Southern Hemisphere. Only the North and South Atlantic and the South Pacific basins showed cooling. The monthly Global Sea Surface Temperature anomalies are presently at +0.174 deg C, referenced to the WMO-preferred base years of 1981 to 2010.
(1)Global Sea Surface Temperature Anomalies
Monthly Change = +0.005 deg C
THE EQUATORIAL PACIFIC
The NINO3.4 Sea Surface Temperature anomalies for March 2015 are slightly above the +0.5 deg C threshold of El Nino conditions. They are presently at +0.56 deg C, also basically unchanged from last month…having decreased about -0.01 deg C in the last month.
(2) NINO3.4 Sea Surface Temperature Anomalies
(5S-5N, 170W-120W)
Monthly Change = -0.010 deg C
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The sea surface temperature anomalies for the NINO3.4 region in the east-central equatorial Pacific (5S-5N, 170E-120E) are a commonly used index for the strength, frequency and duration of El Niño and La Nina events. We keep an eye on the sea surface temperatures there because El Niño and La Niña events are the primary cause of the yearly variations in global sea surface temperatures AND they are the primary cause of the long-term warming of global sea surface temperatures over the past 30 years. See the discussion of the East Pacific versus the Rest-of-the-World that follows. We present NINO3.4 sea surface temperature anomalies in monthly and weekly formats in these updates.
Also see the weekly data toward the end of the post.
INITIAL NOTES
Note 1: The NOAA NOMADS servers are still off line. NOAA replied to my email inquiry and advised that the NOMADS website will be down for an extended time period and there were no estimates for when they would be returned to service.
Note 2: Because the NOMADS servers are off line, I’ve downloaded the Reynolds OI.v2 data from the KNMI Climate Explorer, using the base years of 1981-2010. The updated base years help to reduce the seasonal components in the ocean-basin subsets—they don’t eliminate those seasonal components, but they reduce them.
Note 3: We discussed the reasons for the elevated sea surface temperatures in the post On The Recent Record-High Global Sea Surface Temperatures – The Wheres and Whys.
Note 4: I’ve moved the model-data comparison to the end of the post.
THE EAST PACIFIC VERSUS THE REST OF THE WORLD
NOTE: This section of the updates has been revised. We discussed the reasons for the changes in the post Changes to the Monthly Sea Surface Temperature Anomaly Updates.
For years, we have shown and discussed that the surfaces of the global oceans have not warmed uniformly during the satellite era of sea surface temperature data. In fact, some portions of the global oceans have cooled during that 3+ decade period. One simply has to look at a trend map for the period of 1982 to 2013 to see where the ocean surfaces have warmed and where they have not. Yet the climate science community has not addressed this. See the post Maybe the IPCC’s Modelers Should Try to Simulate Earth’s Oceans.
The North Atlantic (data illustrated later in the post) has had the greatest warming over the past 3+ decades, but the reason for this is widely known. The North Atlantic has an additional mode of natural variability called the Atlantic Multidecadal Oscillation. If you’re not familiar with the Atlantic Multidecadal Oscillation see the NOAA Frequently Asked Questions About the Atlantic Multidecadal Oscillation (AMO) webpage and the posts An Introduction To ENSO, AMO, and PDO — Part 2 and Multidecadal Variations and Sea Surface Temperature Reconstructions. As a result of the Atlantic Multidecadal Oscillation, the surface of the North Atlantic warmed at a rate that was more than twice the rate of the surface of the rest of the global oceans. See the trend comparison graph here.
The East Pacific Ocean also stands out in the trend map above. Some portions of its surfaces warmed and others cooled. It comes as no surprise then that the linear trend of the East Pacific (90S-90N, 180-80W) Sea Surface Temperature anomalies since the start of the Reynolds OI.v2 dataset is so low. With the El Nino conditions in the eastern tropical Pacific, it has acquired a slight positive trend, but it’s still far below the approximate +0.15 deg C/decade warming rate predicted by the CMIP5 climate models. Please see Figure 19 in the post Maybe the IPCC’s Modelers Should Try to Simulate Earth’s Oceans. (Note that the region also includes portions of the Arctic and Southern Oceans.) That is, there has been little to no warming of the sea surfaces of the East Pacific (from pole to pole) in 32 years. The East Pacific is not a small region. It represents about 33% of the surface area of the global oceans. The East Pacific linear trend varies very slightly with each monthly update. But it doesn’t vary greatly between El Niño and La Niña events.
Notice how there appears to have been a strong El Niño event this year in the East Pacific data, while there has only been a small off season event so far this year. Note also how there appears to have been a shift in the data in 2013. Refer again to the post On The Recent Record-High Global Sea Surface Temperatures – The Wheres and Whys. The other ocean basins, thankfully, are not responding as if there has been an El Niño.
(3) East Pacific Sea Surface Temperature (SST) Anomalies
(90S-90N, 180-80W)
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That leaves the largest region of the trend map, which includes the South Atlantic, the Indian and West Pacific Oceans, with the corresponding portions of the Arctic and Southern Oceans. Sea surface temperatures there warmed in very clear steps, in response to the significant 1986/87/88 and 1997/98 El Niño/La Niña events. It also appears as though the sea surface temperature anomalies of this dataset have made another upward shift in response to the 2009/10 El Niño and 2010/11 La Niña events. I further described the ENSO-related processes that cause these upward steps in the recent post Answer to the Question Posed at Climate Etc.: By What Mechanism Does an El Niño Contribute to Global Warming?
Again, as you’ll note, the data for the South Atlantic, Indian and West Pacific Oceans do not show anything unusual this year. (And as you’ll see later, the North Atlantic is presently showing the “normal” range of seasonal variations.) The big surge is in the East Pacific, the eastern North Pacific to be specific.
(4) Sea Surface Temperature Anomalies For The South Atlantic-Indian-West Pacific Oceans
(Weighted Average of 0-90N, 40E-180 @ 27.9% And 90S-0, 80W-180 @72.1%)
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The periods used for the average temperature anomalies for the South Atlantic-Indian-West Pacific subset between the significant El Niño events of 1982/83, 1986/87/88, 1997/98, and 2009/10 are determined as follows. Using the original NOAA Oceanic Nino Index (ONI) for the official months of those El Niño events, I shifted (lagged) those El Niño periods by six months to accommodate the lag between NINO3.4 SST anomalies and the response of the South Atlantic-Indian-West Pacific Oceans, then deleted the South Atlantic-Indian-West Pacific data that corresponds to those significant El Niño events. I then averaged the South Atlantic-Indian-West Pacific Oceans sea surface temperature anomalies between those El Niño-related gaps.
The “Nov 2010 to Present” average varies with each update.
The Sea Surface Temperature anomalies of the East Pacific Ocean, or approximately 33% of the surface area of the global oceans, have shown little to no long-term warming since 1982 based on the linear trend. And between upward shifts, the Sea Surface Temperature anomalies for the South Atlantic-Indian-West Pacific subset (about 52.5% of the global ocean surface area) remain relatively flat, though they actually cool slightly. Anthropogenic forcings are said to be responsible for most of the rise in global surface temperatures over this period, but the Sea Surface Temperature anomaly graphs of those regions discussed above prompt a two-part question: Since 1982, what anthropogenic global warming processes would overlook the sea surface temperatures of 33% of the global oceans and have an impact on the other 52% but only during the months of the significant El Niño events of 1986/87/88, 1997/98 and 2009/10?
They were also discussed in great detail in my recently published book Who Turned on the Heat? The Unsuspected Global Warming Culprit, El Niño-Southern Oscillation. The Free Preview includes the Table of Contents; the Introduction; the beginning of Section 1, with the cartoon-like illustrations; the discussion About the Cover; and the Closing. Also see the blog post Everything You Every Wanted to Know about El Niño and La Niña… for an overview. It’s now sale priced at US$5.00. Please click here to buy a copy. (Paypal or Credit/Debit Card. You do not need to open a PayPal account.)
STANDARD NOTES ABOUT THE DATA
The MONTHLY graphs illustrate raw monthly OI.v2 sea surface temperature anomaly data from November 1981 to March 2015, as it is presented by the KNMI Climate Explorer linked at the end of the post. While NOAA uses the base years of 1971-2000 for this dataset, those base years cannot be used at the KNMI Climate Explorer because they extend before the actual data. (NOAA had created a special climatology for the Reynolds OI.v2 data.) I’ve referenced the data to the period of 1981 to 2010, which is actually 1982 to 2010 for most months. And I’ve added a 13-month running-average filter to smooth out the seasonal variations.
MONTHLY INDIVIDUAL OCEAN AND HEMISPHERIC SEA SURFACE TEMPERATURE UPDATES
(5) Northern Hemisphere Sea Surface Temperature (SST) Anomalies
Monthly Change = -0.007 deg C
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(6) Southern Hemisphere Sea Surface Temperature (SST) Anomalies
Monthly Change = +0.015 deg C
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(7) North Atlantic Sea Surface Temperature (SST) Anomalies
(0 to 70N, 80W to 0)
Monthly Change = -0.205 deg C
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(8) South Atlantic Sea Surface Temperature (SST) Anomalies
(0 to 60S, 70W to 20E)
Monthly Change = -0.040 deg C
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(9) Pacific Sea Surface Temperature (SST) Anomalies
(60S to 65N, 120E to 80W)
Monthly Change = +0.000 Deg C
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(10) North Pacific Sea Surface Temperature (SST) Anomalies
(0 to 65N, 100E to 90W)
Monthly Change = +0.044 Deg C
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(11) South Pacific Sea Surface Temperature (SST) Anomalies
(0 to 60S, 120E to 70W)
Monthly Change = -0.017 deg C
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(12) Indian Ocean Sea Surface Temperature (SST) Anomalies
(60S to 30N, 20E to 120E)
Monthly Change = +0.110 deg C
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(13) Arctic Ocean Sea Surface Temperature (SST) Anomalies
(65N to 90N)
Monthly Change = +0.035 deg C
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(14) Southern Ocean Sea Surface Temperature (SST) Anomalies
(90S-60S)
Monthly Change = +0.094 deg C
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WEEKLY SEA SURFACE TEMPERATURE ANOMALIES
Weekly NINO3.4 sea surface temperature anomalies are at +0.7 deg C. They are above the +0.5 deg C threshold of an El Niño, in weak the El Niño range.
(15) Weekly NINO3.4 Sea Surface Temperature (SST) Anomalies
Note: With the NOMADS servers off line, I’ve used the weekly NINO3.4 data available from the NOAA/CPC Monthly Atmospheric & SST Indices webpage, specifically the data here. They do not provide the global data on a weekly basis, so I can’t present it. Sorry.
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MODEL-DATA COMPARISON: To counter the nonsensical “Just what AGW predicts” rantings of alarmists about the “record-high” global sea surface temperatures in 2014, I’ve added a model-data comparison of satellite-era global sea surface temperatures to these monthly updates. See the example below. The models are represented the multi-model ensemble-member mean of the climate models stored in the CMIP5 archive, which was used by the IPCC for their 5th Assessment Report. For further information on the use of the model mean, see the post here. For most models, historic forcings run through 2005 (2012 for others) and the middle-of-the-road RCP6.0 forcings are used after in this comparison. The data are represented by NOAA’s Optimum Interpolation Sea Surface Temperature data, version 2—a.k.a. Reynolds OI.v2—which is NOAA’s best. The model outputs and data have been shifted so that their trend lines begin at “zero” anomaly for the (November, 1981) start month of this dataset. That “zeroing” helps to highlight how poorly the models simulate the warming of the ocean surfaces…almost doubling the observed warming rate. Both the Reynolds OI.v2 data and the model outputs of their simulations of sea surface temperature (TOS) are available to the public at the KNMI Climate Explorer.
000 – Model-Data Comparison
Linked here is an illustration that compares maps of the simulated and observed warming rates of the global oceans from 1982 to 2014. It is from the post Alarmists Bizarrely Claim “Just what AGW predicts” about the Record High Global Sea Surface Temperatures in 2014.
This addition to the monthly update was further discussed in the post The Nonsensical “Just What AGW predicts” and Other Claims By Alarmists about “Record-High” Global Sea Surface Temperatures in 2014.
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INTERESTED IN LEARNING MORE ABOUT HOW AND WHY THE GLOBAL OCEANS INDICATE THEY’VE WARMED NATURALLY?
Why should you be interested? The hypothesis of manmade global warming depends on manmade greenhouse gases being the cause of the recent warming. But the sea surface temperature record indicates El Niño and La Niña events are responsible for the warming of global sea surface temperature anomalies over the past 32 years, not manmade greenhouse gases. Scroll back up to the discussion of the East Pacific versus the Rest of the World. I’ve searched sea surface temperature records for more than 4 years, and I can find no evidence of an anthropogenic greenhouse gas signal. That is, the warming of the global oceans has been caused by Mother Nature, not anthropogenic greenhouse gases.
I’ve recently published my e-book (pdf) about the phenomena called El Niño and La Niña. It’s titled Who Turned on the Heat? with the subtitle The Unsuspected Global Warming Culprit, El Niño Southern Oscillation. It is intended for persons (with or without technical backgrounds) interested in learning about El Niño and La Niña events and in understanding the natural causes of the warming of our global oceans for the past 30 years. Because land surface air temperatures simply exaggerate the natural warming of the global oceans over annual and multidecadal time periods, the vast majority of the warming taking place on land is natural as well. The book is the product of years of research of the satellite-era sea surface temperature data that’s available to the public via the internet. It presents how the data accounts for its warming—and there are no indications the warming was caused by manmade greenhouse gases. None at all.
Who Turned on the Heat? was introduced in the blog post Everything You Ever Wanted to Know about El Niño and La Niña… …Well Just about Everything. The Free Preview includes the Table of Contents; the Introduction; the beginning of Section 1, with the cartoon-like illustrations; the discussion About the Cover; and the Closing.
Please buy a copy. (Paypal or Credit/Debit Card). You do not need to have a PayPal account. Simply scroll down to the “Don’t Have a PayPal Account” purchase option. It’s now sale priced at US$5.00.
SOURCES
The monthly Sea Surface Temperature (SST) anomaly data and model outputs used in this post are available from the KNMI Climate Explorer.
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Any thoughts on this Bob?
http://www.theage.com.au/environment/climate-change/record-seasurface-temperatures-in-pacific-point-to-record-warmth-in-2015-and-2016-20150413-1mjooh.html
Hi bob, just passing along nsomething new:
Decadal modulation of global surface temperature by internal climate variability
Aiguo Dai, John C. Fyfe, Shang-Ping Xie & Xingang Dai
Despite a steady increase in atmospheric greenhouse gases (GHGs), global-mean surface temperature (T) has shown no discernible warming since about 2000, in sharp contrast to model simulations, which on average project strong warming1, 2, 3. The recent slowdown in observed surface warming has been attributed to decadal cooling in the tropical Pacific1, 4, 5, intensifying trade winds5, changes in El Niño activity6, 7, increasing volcanic activity8, 9, 10 and decreasing solar irradiance7. Earlier periods of arrested warming have been observed but received much less attention than the recent period, and their causes are poorly understood. Here we analyse observed and model-simulated global T fields to quantify the contributions of internal climate variability (ICV) to decadal changes in global-mean T since 1920. We show that the Interdecadal Pacific Oscillation (IPO) has been associated with large T anomalies over both ocean and land. Combined with another leading mode of ICV, the IPO explains most of the difference between observed and model-simulated rates of decadal change in global-mean T since 1920, and particularly over the so-called ‘hiatus’ period since about 2000. We conclude that ICV, mainly through the IPO, was largely responsible for the recent slowdown, as well as for earlier slowdowns and accelerations in global-mean T since 1920, with preferred spatial patterns different from those associated with GHG-induced warming or aerosol-induced cooling. Recent history suggests that the IPO could reverse course and lead to accelerated global warming in the coming decades.
http://www.nature.com/nclimate/journal/vaop/ncurrent/full/nclimate2605.html
Thanks for the link, Alec aka Daffy Duck. Sounds similar to some Trenberth co-authored papers from a few years ago.
Paul Homewood, thanks for the link. I’ll take a look later n the week.
Cheers
Thanks, Bob. Again you present us with a wide view of the oceans,
BTW, The Atlantic Multi-decadal Oscillation (AMO) Index is back to zero.
See http://www.esrl.noaa.gov/psd/cgi-bin/gcos_wgsp/tsanalysis.pl?tstype1=91&tstype2=0&year1=1854&year2=2015&itypea=0&axistype=0&anom=0&plotstyle=0&climo1=&climo2=&y1=&y2=&y21=&y22=&length=&lag=&iall=0&iseas=1&mon1=0&mon2=11&Submit=Calculate+Results
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