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2017 Global Temperatures


blizzard1024

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On 5/20/2017 at 2:50 PM, WidreMann said:

Yeah, seriously. What happened? It seems unlikely that we can blame this solely on climate change. But it's quite odd all the same.

Relaxed trade winds are probably contributing. Trade winds were unusually strong during the hiatus.

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6 hours ago, WidreMann said:

So the question now is whether this giant heat burst dissippates (presumably slower due to CO2 and water vapor) or is it part of a rapid climate shift that could put us in deep trouble in even just a few years.

The spike in warming in the past few years is probably a recovery from the relatively cool hiatus period. The long-term warming trend hasn't changed much.

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14 hours ago, chubbs said:

The spike in warming in the past few years is probably a recovery from the relatively cool hiatus period. The long-term warming trend hasn't changed much.

I would still expect some flattening as there are oscillations on the multi-year and decadal level that should keep us from being on a straight up warming track year after year. All the same, it's quite jarring.

The CFS dailies on WeatherBell are showing some reduction in global temps, especially NH, which has been so warm. This is, I think, the longest period since before the Nino that we've been this cool. We'll see if it lasts.

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  • 2 weeks later...
  • 3 weeks later...

I don't remember this being posted here. Has it already been discussed? Maybe I just forgot.

RSS came out with a new version that uses a new diurnal drift adjustment similar to the UW Po Chedley version previously published. The TMT trend is increased more than 50% from .080C/decade to .129C/decade for TMT (mid troposphere).

http://www.remss.com/blog/RSS-TMT-updated

 

msu_update_march04_01.png

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This is cool. If you can visualize the Earth as a pulsating being, see that equilatoral regions are probably the strongest of consistencyperception. When the ENSO regions are warm for a few years, this becomes the Earth warm for 20 years, in flux, but as an overall mean. I did research a few years back that showed subsurface temperatures in ENSO regions actually had positive effect on the surface in time, meaning it could predict the future of the surface, and was also more accurate correlated to the global pattern than surface. What if the Earth is warming actually on a region below the surface, perhaps something like permeated consciousness from broad energy field of internet, cell phones, technology, and this global warming event is just shallower density (like something broken up), measurable? I do remember as a child in the early 90s, my body felt different than it does today, less stimulus, much less. Even as I post this now there is a constant buzzing.... makes sense? 

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53 minutes ago, StormchaserChuck said:

This is cool. If you can visualize the Earth as a pulsating being, see that equilatoral regions are probably the strongest of consistencyperception. When the ENSO regions are warm for a few years, this becomes the Earth warm for 20 years, in flux, but as an overall mean. I did research a few years back that showed subsurface temperatures in ENSO regions actually had positive effect on the surface in time, meaning it could predict the future of the surface, and was also more accurate correlated to the global pattern (NAO, PNAetc) than surface. What if the Earth is warming actually on a region below the surface, perhaps something like permeated consciousness from broad energy field of internet, cell phones, technology, and this global warming event is just shallower density, like something broken up, measurable? I do remember as a child in the early 90s, my body felt different than it does today, less stimulus, much less. Even as I post this now there is a constant buzzing.... makes sense? 

Dude....  can you please send me some of what you've been smoking recently?

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15 hours ago, chubbs said:

RSS TLT has updated to version 4 -  with more warming, in-line with the surface temperature series now.

http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-16-0768.1

RSS_TS_channel_TLT_Global_Land_And_Sea_v04_0.png

Not much of a surprise since this new study shows what we have suspected all along.

 

DDjEfgaXsAEj0i_.jpg-small.jpg.ea6266091c1d6077a3ca6057668d0946.jpg

 

https://www.carbonbrief.org/major-correction-to-satellite-data-shows-140-faster-warming-since-1998

Researchers from Remote Sensing Systems (RSS), based in California, have released a substantially revised version of their lower tropospheric temperature record.

After correcting for problems caused by the decaying orbit of satellites, as well as other factors, they have produced a new record showing 36% faster warming since 1979 and nearly 140% faster (i.e. 2.4 times larger) warming since 1998. This is in comparison to the previous version 3 of the lower tropospheric temperature (TLT) data published in 2009.

As Mears tells Carbon Brief:

By correctly accounting for the changes in satellite measurement times, the new satellite data are in better agreement with the surface data.

As these satellites circle the Earth, their orbits slowly decay over time due to drag from the upper atmosphere. While the satellites are designed to fly over the same spot on the Earth at the same time every day – a precondition to accurately estimating changes in temperatures over time – this orbital decay causes their flyover time to change.

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6 hours ago, bluewave said:

Not much of a surprise since this new study shows what we have suspected all along.

 

DDjEfgaXsAEj0i_.jpg-small.jpg.ea6266091c1d6077a3ca6057668d0946.jpg

 

https://www.carbonbrief.org/major-correction-to-satellite-data-shows-140-faster-warming-since-1998

Researchers from Remote Sensing Systems (RSS), based in California, have released a substantially revised version of their lower tropospheric temperature record.

After correcting for problems caused by the decaying orbit of satellites, as well as other factors, they have produced a new record showing 36% faster warming since 1979 and nearly 140% faster (i.e. 2.4 times larger) warming since 1998. This is in comparison to the previous version 3 of the lower tropospheric temperature (TLT) data published in 2009.

As Mears tells Carbon Brief:

By correctly accounting for the changes in satellite measurement times, the new satellite data are in better agreement with the surface data.

As these satellites circle the Earth, their orbits slowly decay over time due to drag from the upper atmosphere. While the satellites are designed to fly over the same spot on the Earth at the same time every day – a precondition to accurately estimating changes in temperatures over time – this orbital decay causes their flyover time to change.

 

Pretty much confirms why the satellite data sets always had much larger sigma bands associated with their inherent uncertainty.  There amount of change in RSS even in just in the last 5 years is flabbergasting.  In 2014, on this exact board, we were debating the significance of RSS v.3 and it's slight negative warming rate between 1998 and 2014.  The newest release has the warming rate at 0.14C/decade between 1998 and 2014...

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3 hours ago, nflwxman said:

 

Pretty much confirms why the satellite data sets always had much larger sigma bands associated with their inherent uncertainty.  There amount of change in RSS even in just in the last 5 years is flabbergasting.  In 2014, on this exact board, we were debating the significance of RSS v.3 and it's slight negative warming rate between 1998 and 2014.  The newest release has the warming rate at 0.14C/decade between 1998 and 2014...

The 1998 to 2014 warming rate of .14C/decade would still indicate a brief hiatus compared to the long term trend of .18C/decade, but it brings us closer to expectations.

I believe that basic physics tells us that the lower troposphere (TLT measurement) should warm faster than the surface, so this finally brings the data in line with the theory.

It also shows that the hiatus centered around 2008-2009, while not entirely significant, had a very minor effect on the overall trend and long-term projections. Having said that, with a larger cold pool in the North Pacific, as well as extended periods of low solar activity/TSI/low sunspots, there may be reason to expect another hiatus, perhaps a bit more significant, but unlikely to affect the long term anthropogenic warming trend aroumd 0.15C-0.2C/decade, increasing towards the latter part of 21st century.

 

 

 

 

 

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19 hours ago, nzucker said:

The 1998 to 2014 warming rate of .14C/decade would still indicate a brief hiatus compared to the long term trend of .18C/decade, but it brings us closer to expectations.

I believe that basic physics tells us that the lower troposphere (TLT measurement) should warm faster than the surface, so this finally brings the data in line with the theory.

It also shows that the hiatus centered around 2008-2009, while not entirely significant, had a very minor effect on the overall trend and long-term projections. Having said that, with a larger cold pool in the North Pacific, as well as extended periods of low solar activity/TSI/low sunspots, there may be reason to expect another hiatus, perhaps a bit more significant, but unlikely to affect the long term anthropogenic warming trend aroumd 0.15C-0.2C/decade, increasing towards the latter part of 21st century.

 

 

 

 

 

Below is GISS with a 5-year and a 15-year running mean. The 5-year running mean rises in a series of stair steps, while almost all natural variability is smoothed in the 15-year mean. I would also expect a relatively flat "tread" in the 5-year mean when the current "riser" ends. However we probably should wait for a change in the 15-year running mean before getting too excited one way or the other.

giss515mean.png

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6 hours ago, donsutherland1 said:

I am not surprised. UAH v6.0 appears to have  a spurious statistical cooling trend. Has it been peer reviewed yet?

There was a publication last this year. I don't have a reference - it was a relatively obscure journal  the Asia Pacific Journal of Atmospheric Sciences. The article was mainly material from Spencer's initial blog post on UAH6.

edit: found it

https://link.springer.com/article/10.1007%2Fs13143-017-0010-y

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  • 2 months later...
39 minutes ago, chubbs said:

RSS TLT 0.71 in August, topping previous August record of 0.63 in 2010 and 2016.

 

RSS_TS_channel_TLT_Global_Land_And_Sea_v04_0.png

Woah, that's seriously warm for a neutral ENSO state, though it may reflect the push towards Nino in the spring as it has 5-6 months lag. Temperature never really dropped much following the monster 2015-16 El Nino, however.

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  • 4 weeks later...

While I accept that my permanent el nino theory didn't quite verify this cycle 100%, we are nearing some threshold in the system that resembles permanent el nino. Occasionally the trade winds will upwell cold water to the surface independent of the anthropogenic ENSO cycle, due to changes elsewhere in the system which have yet to be determined.

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12 hours ago, chubbs said:

gfs must think its 2015

GFS_anomaly_timeseries_global.png

I can never figure out exactly what that graph is showing. It has lines and it has dots. The title says GFS vs CFSR. Both lines and dots go into the future. Which one is GFS and which one is CFSR? Does it include the actual historical temps or is this only model forecasts? Or is it historical temps up till the present, then model forecasts? I don't understand why this can't be better labelled and it's really annoying.

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11 hours ago, WidreMann said:

I can never figure out exactly what that graph is showing. It has lines and it has dots. The title says GFS vs CFSR. Both lines and dots go into the future. Which one is GFS and which one is CFSR? Does it include the actual historical temps or is this only model forecasts? Or is it historical temps up till the present, then model forecasts? I don't understand why this can't be better labelled and it's really annoying.

Graph shows gfs model temperatures for entire year. Past data is zero hour model starting point i.e a proxy for observed. The forecast for the next week is also shown. CFSR refers to the baseline "normal" temps used to calculate the temperature anomaly. Main use is to check recent and near-term trends.

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