“Doug” is now a 4-letter word

March 3rd, 2016

no-kangaroo-sock-puppetsI have to admit, Doug Cotton is tenacious. He even gets multiple blog posts from me devoted to him. He obviously lives rent-free in my head now.

But after more complaints about his sky-dragon-slayer-esque comments (which I have tried to block by banning his ever-lengthening list of user names), I am now forced to block all comments that in any way involve the name “Doug”.

So, if you must comment and refer to Doug by name, maybe you can insert special characters after the “D”…you know…the way we do with other 4-letter words.

I apologize in advance to any other Dougs out there…you will have to pick a different user name.

Oh, and I’m sure Dou& will be back. I hope to have his energy when I reach his age.

Record Rainy, Cloudy, Humid February over the Oceans

March 2nd, 2016

It’s been about eight months since I’ve updated the SSM/I- and SSMIS-based satellite estimates of the RSS ocean products (vapor, clouds, rain, and surface wind speed). Given the record warm tropospheric temperatures in February, and the likely role of El Nino in that, I thought it would be interesting to see if (for example) there was a big increase in rain activity, which is how the troposphere can warm so rapidly…through the latent heating of the air as heat is transferred from the ocean surface to the atmosphere.

By way of background, here are the monthly HadSST3 sea surface temperature anomalies (thru January). The anomalies are calculated over the same period that we have SSM/I data (since July, 1987), and they indicate record-warmth in the global ocean average (60N to 60S):
HadSST3-thru-201602

The SSMIS vertically integrated water vapor anomalies, which are dominated by boundary layer vapor and are tightly coupled to SST variations, mirror the SST anomalies with record high vapor amounts in December and February:
SSMI-Vapor-thru-201602

When the anomalies are computed at the gridpoint level, we see that most of the “action” is occurring in the central tropical Pacific, consistent with the mature El Nino conditions (I’ve included Feb. 1998 for comparison):
ssmi-vapor-grids-201602-vs-199802
Note that the current El Nino does not seem to have the ring of depressed water vapor values around the region where the enhanced rainfall activity occurs in the high-vapor zone that was seen in 1998. That depression in 1998 was likely due to subsiding air driven by the convection pushing the top of the humid boundary layer downward, making a thinner layer of moist air. I have no explanation for this difference between the two El Ninos.

What is exceptional is the rainfall anomaly in February, with a global ocean anomaly of almost 16% above the 29-year average:
SSMI-rain-thru-201602

The total cloud water anomaly for February was also at a record high, at 13% above average:
SSMI-cloudwater-thru-201602

Finally, the ocean surface wind speeds from SSMIS are seen to be recovering in the last few months…they are typically low during El Nino…supporting the view that El Nino is beginning to weaken:
SSMI-windspeed-thru-201602

I will remind folks that I still think there are problems with the SSMIS water vapor, as it is increasing considerably faster than expected based upon a 7% increase per degree of SST increase. I believe this is due to assumptions in the water vapor retrieval algorithm. The retrieval assumes a vertical water vapor profile shape, and if that shape has changed, it can bias the retrieval. I believe RSS also assumes a climatological average SST field in the retrieval, which might also affect the results.

So, it seems that much of the exceptional tropospheric warmth in February was driven by a rather spectacular “burp” of convective energy released by storms into the troposphere.

UAH V6 Global Temperature Update for Feb. 2016: +0.83 deg. C (new record)

March 1st, 2016

NOTE: This is the eleventh monthly update with our new Version 6.0 dataset. Differences versus the old Version 5.6 dataset are discussed here. Note we are now at “beta5” for Version 6 (hopefully the last beta before submission of the methodology for publication), discussed more below.

The Version 6.0 global average lower tropospheric temperature (LT) anomaly for February, 2016 is +0.83 deg. C, up almost 0.3 deg C from the January value of +0.54 deg. C (click for full size version), which is a new record for the warmest monthly anomaly since satellite monitoring began in late 1978. (If clicking on the image leads to an error, this is due to “caching issues” according to my new website hosting company…I don’t know how to fix it.)

UAH_LT_1979_thru_February_2016_v6

The global, hemispheric, and tropical LT anomalies from the 30-year (1981-2010) average for the last 14 months are:

YR MO GLOBE NH SH TROPICS
2015 01 +0.30 +0.44 +0.15 +0.13
2015 02 +0.19 +0.34 +0.04 -0.07
2015 03 +0.18 +0.28 +0.07 +0.04
2015 04 +0.09 +0.19 -0.01 +0.08
2015 05 +0.27 +0.34 +0.20 +0.27
2015 06 +0.31 +0.38 +0.25 +0.46
2015 07 +0.16 +0.29 +0.03 +0.48
2015 08 +0.25 +0.20 +0.30 +0.53
2015 09 +0.23 +0.30 +0.16 +0.55
2015 10 +0.41 +0.63 +0.20 +0.53
2015 11 +0.33 +0.44 +0.22 +0.52
2015 12 +0.45 +0.53 +0.37 +0.61
2016 01 +0.54 +0.69 +0.39 +0.85
2016 02 +0.83 +1.17 +0.50 +0.99

Further Analysis of the Record February Warmth

The 1-month increase of +0.29 C in global average temperature from January to February is not unprecedented…for example, during the last El Nino (2009-10) there was +0.38 C warming from December to January.

The February warmth is likely being dominated by the warm El Nino conditions, which tends to have peak warmth in the troposphere close to February…but it appears that isn’t the whole story, since the tropical anomaly for February 2016 (+0.99 C) is still about 0.3 C below the February 1998 value during the super-El Nino of that year. In addition to the expected tropical warmth, scattered regional warmth outside the tropics led to a record warm value for extratropical Northern Hemispheric land areas, with a whopping +1.46 C anomaly in February…fully 0.5 deg. C above any previous monthly anomaly (!):

UAH-v6-LT-NExt-thru-feb-2016

As a sanity check on the latest data, I compared our monthly anomalies to the 2m surface temperatures analysed from the NCEP CFSv2 by Ryan Maue at WeatherBell.com. His calculated global average anomalies (from the 1981-2010 mean) for January and February 2016 were +0.51 and +0.70 C, respectively, which is close to our +0.54 and +0.83 C values (some amplification of tropospheric anomalies vs. surface is always seen during El Nino). Here are the regional temperature anomaly patterns for February in the two datasets:

UAH-LT-vs-CFSv2-Tsfc-Feb-2016

Even though the CFSv2 surface temperature analysis in the above plot is not “official”, I think it is a pretty good representation of what really happened last month, since it includes all sources of data in a physically consistent way within the daily weather forecast model framework. Note that on a monthly time scale we do not expect perfect correspondence between surface temperature and deep-tropospheric temperature anomaly patterns…especially in the deep tropics; the agreement in regional patterns seen above is about as good as it gets.

The “official” UAH global image for February, 2016 should be available in the next several days here.

The new Version 6 files (use the ones labeled “beta5”) should be updated soon, and 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

UAH V6 Global Temperature Update for January, 2016: +0.54 deg C

February 1st, 2016

NOTE: This is the tenth monthly update with our new Version 6.0 dataset. Differences versus the old Version 5.6 dataset are discussed here. Note we are now at “beta5” for Version 6 (hopefully the last beta before submission of the methodology for publication), discussed more below.

The Version 6.0 global average lower tropospheric temperature (LT) anomaly for January, 2016 is +0.54 deg. C, up from the December, 2015 value of +0.45 deg. C (click for full size version):

UAH_LT_1979_thru_January_2016_v6

The global, hemispheric, and tropical LT anomalies from the 30-year (1981-2010) average for the last 13 months are:

YR MO GLOBE NH SH TROPICS
2015 01 +0.30 +0.44 +0.15 +0.13
2015 02 +0.19 +0.34 +0.04 -0.07
2015 03 +0.18 +0.28 +0.07 +0.04
2015 04 +0.09 +0.19 -0.01 +0.08
2015 05 +0.27 +0.34 +0.20 +0.27
2015 06 +0.31 +0.38 +0.25 +0.46
2015 07 +0.16 +0.29 +0.03 +0.48
2015 08 +0.25 +0.20 +0.30 +0.53
2015 09 +0.23 +0.30 +0.16 +0.55
2015 10 +0.41 +0.63 +0.20 +0.53
2015 11 +0.33 +0.44 +0.22 +0.52
2015 12 +0.45 +0.53 +0.37 +0.61
2016 01 +0.54 +0.70 +0.39 +0.85

We are now approaching peak warmth in the tropics due to El Nino conditions. Only time will tell if warming continues for a few more months, or whether January was the peak.

The global image for January, 2016 should be available in the next several days here.

The new Version 6 files (use the ones labeled “beta5”) should be updated soon, and 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

Changes with the “beta5” version

We had been concerned that the LT temperature trends over land were too warm compared to the ocean. One hint that something might be wrong was that the trends over very high elevation portions of the Greenland ice sheet and the Himalayas were much colder than the surrounding regions (see Fig. 4 here). Another was discontinuities in the trend patterns between land and ocean, especially in the tropics.

We determined this is most likely due to a residual mismatch between the MSU channel 2 weighting function altitude on the early satellites versus the AMSU channel 5 weighting function altitude on the later satellites. We already knew AMSU5 peaks lower than MSU2, and had chosen Earth incidence angles in each to get a match based upon theory. But apparently the theory has some error, which we find equates to about 150 meters in altitude. This was enough to cause the issues we see….land too warm at low elevations, too cold for elevated ice surfaces.

We therefore changed the AMSU5 reference Earth incidence angle (from 35.0 to 38.3 deg.) so that the trends over Greenland and the Himalayas were in much better agreement with the surrounding areas. We also find that the resulting LT trends over the U.S. and Australia are in better agreement with other sources of data.

The net result is to generally cool the land trends and warm the ocean trends. The global trends have almost no change from beta4; the change mostly affects how the average trend in 2.5 deg. latitude bands is ‘apportioned’ between land and ocean. Here is the new LT trend image for the period January 1979 through January 2016:

lt_trend_beta5

An alternative solution would have been just to intercalibrate the satellites over land and ocean separately. Experiments with this, however, showed what we consider to be a unacceptable amount of spurious features in the resulting trend maps. We therefore opted to change what we believe to the the cause of the problem — an improper choice for the AMSU5 reference Earth indidence angle to match MSU2, and then none of the processing code would need to be changed.

After the Snowstorm: Color Satellite Views

January 25th, 2016

The VIIRS color imager on the Suomi/NPP satellite provided nice views yesterday of the heavy blanket of snow produced by the epic snowstorm of January 22-23, 2016.

Here’s the big picture of the eastern U.S. (click image for the super-sized version, suitable for computer desktop wallpaper):

Suomi-jan-24-2016-snowstorm-1

And here’s a zoomed version covering the area from DC through NYC:

Suomi-jan-24-2016-snowstorm-2

The whitest areas have the least vegetation, usually farm fields.

Enjoy!

On that 2015 Record Warmest Claim

January 22nd, 2016

We now have the official NOAA-NASA report that 2015 was the warmest year by far in the surface thermometer record. John and I predicted this would be the case fully 7 months ago, when we called 2015 as the winner.

In contrast, our satellite analysis has 2015 only third warmest which has also been widely reported for weeks now. I understand that the RSS satellite analysis has it 4th warmest.

And yet I have had many e-mail requests to address the new reports of warmest year on record. I’ve been reluctant to because, well, this is all old news. (Also, my blog has been under almost constant “brute force login attacks” for the last month, from a variety of IP addresses, making posting nearly impossible most days).

There are many things I could say, but I would be repeating myself:

– Land measurements …that thermometers over land appear to have serious spurious warming issues from urbanization effects. Anthony Watts is to be credited for spearheading the effort to demonstrate this over the U.S. where recent warming has been exaggerated by about 60%, and I suspect the problem in other regions of the global will be at least as bad. Apparently, the NOAA homogenization procedure forces good data to match bad data. That the raw data has serious spurious warming effects is easy to demonstrate…and has been for the last 50 years in the peer-reviewed literature….why is it not yet explicitly estimated and removed?

– Ocean Measurements …that even some NOAA scientists don’t like the new Karlized ocean surface temperature dataset that made the global warming pause disappear; many feel it also forces good data to agree with bad data. (I see a common theme here.)

– El Nino …that a goodly portion of the record warmth in 2015 was naturally induced, just as it was in previous record warm years.

– Thermometers Still Disagree with Models …that even if 2015 is the warmest on record, and NOAA has exactly the right answer, it is still well below the average forecast of the IPCC’s climate models, and something very close to that average forms the basis for global warming policy. In other words, even if every successive year is a new record, it matters quite a lot just how much warming we are talking about.

Then we have scientists out there claiming silly things, like the satellites measure temperatures at atmospheric altitudes where people don’t live anyway, so we should ignore them.

Oh, really? Would those same scientists also claim we should ignore the ocean heat content measurements — also where nobody lives — even though that is supposedly the most important piece of evidence that heat is accumulating in the climate system?

Hmmm?

Finally, I don’t see why any of this matters anyway. Didn’t the Paris agreement in December signify that world governments are going to fix the global warming problem?

Or was that message oversold, too?

I’m not claiming our satellite dataset is necessarily the best global temperature dataset in terms of trends, even though I currently suspect it is closer to being accurate than the surface record — that will be for history to decide. The divergence in surface and satellite trends remains a mystery, and cannot (in my opinion) continue indefinitely if both happen to be largely correct.

But since the satellites generally agree with (1) radiosondes and (2) most global reanalysis datasets (which use all observations radiosondes, surface temperatures, commercial aircraft, satellites, etc. everything except the kitchen sink), I think the fact that NOAA-NASA essentially ignores it reveals an institutional bias that the public who pays the bills is becoming increasingly aware of.

And this brings up the elephant in the room that I have a difficult time ignoring

By now it has become a truism that government agencies will prefer whichever dataset supports the governments desired policies. You might think that government agencies are only out to report the truth, but if that’s the case, why are these agencies run by political appointees?

I can say this as a former government employee who used to help NASA sell its programs to congress: We weren’t funded to investigate non-problems, and if global warming were ever to become a non-problem, funding would go away. I was told what I could and couldn’t say to Congress…Jim Hansen got to say whatever he wanted. I grew tired of it, and resigned.

Let me be clear: I’m not saying climate change is a non-problem; only that government programs that fund almost 100% of the research into climate change cannot be viewed as unbiased. Agencies can only maintain (or, preferable, grow) their budgets if the problem they want to study persists. Since at least the 1980s, an institutional bias exists which has encouraged the climate research community to view virtually all climate change as human-caused.

There indeed is a climate change problem to study…but I don’t think we know with any certainty how much is natural versus manmade. There is no way to know, because there is (contrary to the IPCC’s claims) no fingerprint of human versus natural warming. Even natural warming originating over the ocean will cause faster warming over land than over ocean, just as we already observe.

But since the government has framed virtually all of the research programs in terms of human-caused climate change, that’s what the funded scientists will dutifully report it to be, in terms of supposed causation.

And until the culture in the government funding agencies changes, I don’t see a new way of doing business materializing. It might require congress to direct the funding agencies to spend at least a small portion of their budgets to look for evidence of natural causes of climate change.

Because scientists, I have learned, will tend to find whatever they are paid to find in terms of causation…which is sometimes very difficult to pin down in science.

75 Million to Get Snowblasted

January 20th, 2016

The snowstorm expected to begin in earnest on Friday is still looking like one for the record books, especially in the DC area up through Philadelphia and New York City.

The heavily-populated I-95 corridor from the Mid-Atlantic to New England will see the heaviest snowfalls, starting Friday and spreading northeastward on Saturday.

By Sunday morning, nearly one-quarter of the U.S. population (about 75 million people) could get 6 inches or more of snow. Consistent with the weather model forecasts for the last several of days, the latest GFS model forecast continues to indicate the area around Washington D.C. would be hardest hit, with about 2 feet of snow expected (graphic courtesy of Weatherbell.com, click image for full-size):

Total forecast snowfall by midday Sunday, Jan. 24, 2016.

Total forecast snowfall by midday Sunday, Jan. 24, 2016.

New York City could see 16 to 20 inches, and nor’easter type conditions are expected for coastal areas from the Delmarva peninsula northward, with winds gusting over 50 mph.

Frost Flowers: The Frost Awakens

January 6th, 2016

The frost flower arrangement I made a time lapse video of last night.

The frost flower arrangement I made a time lapse video of last night.

It’s been over a year since I first found “frost flowers” growing in our backyard one chilly morning. This past summer I let the plants grow (I usually whack the weeds in the woods), and they grew over 6 feet tall, with Queen Anne’s lace-type white flowers at the top that bloom in the fall.

Due to El Nino, our warm winter has delayed the frost flower formation by about a month. The first ones showed up two nights ago, when it reached about 26 deg. F. Then last night I set up my camera for time lapse photos, even though the stems were partially shredded and it looked like the temperature might not dip below 30 deg. F, which is barely cold enough for the frost flowers to form.

But this morning there was a rather nice display. The following video compresses 12 hours into 30 seconds, from about 6 p.m. to 6 a.m. Be sure to click on the full-screen icon, since this is high-def video, and you can watch the ribbons of ice grow.

So, what does this have to do with global warming, you ask? Well, if not for global warming, the temperature would have been 2 deg. F colder and the flowers would have been 15% bigger, of course.

Another casualty of human-caused climate change.

You can read more about the mechanism of frost flower formation here.

UAH V6 Global Temperature Update for Dec. 2015: +0.44 deg. C

January 5th, 2016

NOTE: This is the ninth monthly update with our new Version 6.0 dataset. Differences versus the old Version 5.6 dataset are discussed here. Note we are now at “beta4” for Version 6, due to our accidental omission of lower stratospheric data from NOAA-9 post-Feb. 1987.

The Version 6.0 global average lower tropospheric temperature (LT) anomaly for December, 2015 is +0.44 deg. C, up from the November, 2015 value of +0.33 deg. C (click for full size version):

UAH_LT_1979_thru_December_2015_v6

This makes 2015 the third warmest year globally (+0.27 deg C) in the satellite record (since 1979), behind 1998 (+0.48 deg C) and 2010 (+0.34 deg. C). Since 2016 should be warmer than 2015 with the current El Nino, there is a good chance 2016 will end up as a record warm year…it all depends upon how quickly El Nino wanes later in the year.

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

YR MO GLOBE NH SH TROPICS
2015 01 +0.28 +0.40 +0.16 +0.13
2015 02 +0.17 +0.30 +0.05 -0.06
2015 03 +0.16 +0.26 +0.07 +0.05
2015 04 +0.08 +0.18 -0.01 +0.09
2015 05 +0.28 +0.36 +0.21 +0.27
2015 06 +0.33 +0.41 +0.25 +0.46
2015 07 +0.18 +0.33 +0.03 +0.47
2015 08 +0.27 +0.25 +0.30 +0.51
2015 09 +0.25 +0.34 +0.17 +0.55
2015 10 +0.43 +0.64 +0.21 +0.53
2015 11 +0.33 +0.43 +0.23 +0.53
2015 12 +0.44 +0.51 +0.37 +0.61

The tropics continue warm due to El Nino conditions, with December unsurprisingly the warmest month yet during the El Nino event.

The global image for December, 2015 should be available in the next several days here.

The new Version 6 files (use the ones labeled “beta4”) should be updated soon, and 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

Sierra Expecting 10 Feet of Snow in Next 10 Days

January 3rd, 2016
Suomi satellite color image of Pacific storms lining up on January 2, 2016.

Suomi satellite color image of Pacific storms lining up on January 2, 2016.

With the Sierra Nevada snowpack above normal in this El Nino-fueled winter, we now enter what is usually the peak stormy season for the West Coast when El Nino gets in full swing.

As suggested in the above satellite image, a series of Pacific storms will bring more rain and abundant mountain snows, with totals ranging up to 10 feet over the next 10 days, and widespread amounts over 4 feet (GFS model graphic courtesy of Weatherbell.com):

GFS model forecast of total snowfall in the next 10 days, ending January 13, 2016.

GFS model forecast of total snowfall in the next 10 days, ending January 13, 2016.

While the California drought is far from over, the coming storms are a good sign that the snowpack might be headed for a more comfortable 150% of normal come April 1, which is what will be required to bring reservoirs close to a normal level after the snow melts.

The snows will not be restricted to California, as almost all mountain ranges in the West will also be receiving substantial new accumulations over the same period.