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climate models are spot on (Read 3481 times)
freediver
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climate models are spot on
Apr 28th, 2021 at 6:50pm
 
The point of climate modelling in the context of GHG emissions is to predict the impact on global temperature. Contrary to the crap that Lee has been furiously spewing, they have been remarkably accurate.

https://climate.nasa.gov/news/2943/study-confirms-climate-models-are-getting-fut
ure-warming-projections-right/

...

Why does this look so different from the crap that Lee has been posting? Two reasons:

1) Lee's crap tends to leave out a lot of the temperature data. A recent example left out temperature data after 2013.

2) Lee's crap leaves out the global temperature, for example only giving the sea surface temperature in certain parts of the ocean. This would be entirely relevant if the argument over GHG emissions was based only on the sea surface temperature in certain parts of the ocean, but in the context of GHG emissions it is a classic case of cherry picking in order to promote a lie.
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lee
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Re: climate models are spot on
Reply #1 - Apr 28th, 2021 at 7:19pm
 
freediver wrote on Apr 28th, 2021 at 6:50pm:
The point of climate modelling in the context of GHG emissions is to predict the impact on global temperature.



So you don't believe the RSS satellite data? Oh dear.

Remember what I posted earlier today? Probably not because you didn't comment on it. Old Timer's? Alzheimer's?

I will post it again for you.

...

And as I said the only time the models have got close since 1998 is with Los Ninos.

BTW petal you know how you have "climate models are spot on"? Only ONE if any can be "spot on". An ensemble of climate models giving an average is not ONE model. Grin Grin Grin Grin Grin
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freediver
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Re: climate models are spot on
Reply #2 - Apr 28th, 2021 at 7:23pm
 
I have no idea what that is even a plot of. I doubt you do either. And why does it have a watermark from photobucket on it?
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Re: climate models are spot on
Reply #3 - Apr 28th, 2021 at 7:31pm
 
freediver wrote on Apr 28th, 2021 at 7:23pm:
     Posted on: Today at 5:23pm
I have no idea what that is even a plot of.


You should have stopped at you had no idea. I posted it yesterday with the link to remss and it's captions. I will provide that again - just to see if you can get your brain around it.


"
BTW - here is the RSS which is supposedly superior to UAH satellite data compared to climate models -

"To illustrate this last problem, we show several plots below.  Each of these plots has a time series of TLT temperature anomalies using a reference period of 1979-2008.  In each plot, the thick black line are the results from the most recent version of the RSS satellite dataset.  The yellow band shows the 5% to 95% envelope for the results of 33 CMIP-5 model simulations (19 different models, many with multiple realizations) that are intended to simulate Earth's Climate over the 20th Century.  For the time period before 2005, the models were forced with historical values of greenhouse gases, volcanic aerosols, and solar output.  After 2005, estimated projections of these forcings were used. If the models, as a whole, were doing an acceptable job of simulating the past, then the observations would mostly lie within the yellow band."

"Fig. 1.  Global (70S to 80N) Mean TLT Anomaly plotted as a function of time.  The black line is the time series for the  RSS V4.0 MSU/AMSU atmosperhic temperature dataset.  The yellow band is the 5% to 95% range of output from CMIP-5 climate simulations.  The mean value of each time series average from 1979-1984 is set to zero so the changes over time can be more easily seen.  Note that after 1998, the observations are likely to be in the lower part of the model distribution, indicating that there is a small discrepancy between the model predictions and the satelllite observations.(All time series have been smoothed to remove variabilty on time scales shorter than 6 months.)"

http://images.remss.com/figures/climate/RSS_Model_TS_compare_globev4.png

The image wouldn't post so I used photobucket. You don't like it? Too bad.

So which should I believe? Satellite or models? Wink
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Re: climate models are spot on
Reply #4 - Apr 28th, 2021 at 7:46pm
 
You left out the link Lee. Are you trying to make this look as dodgy as possible?
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Re: climate models are spot on
Reply #5 - Apr 28th, 2021 at 8:30pm
 
freediver wrote on Apr 28th, 2021 at 7:46pm:
You left out the link Lee.



Poor petal. So obtuse couldn't even work it for himself. Never mind petal.

Here it is -

http://www.remss.com/research/climate/#Atmospheric-Temperature

Have you checked NASA yet? Wink
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Re: climate models are spot on
Reply #6 - Apr 28th, 2021 at 9:21pm
 
Quote:
Poor petal. So obtuse couldn't even work it for himself. Never mind petal.


You are full of crap Lee. I'm not going to figure out its flavour for you.

I see now why you were so embarrassed to post the link - it is based on measured troposphere data, ie up to 18km high. It is comparing that to predictions of surface temperature.

Pretty stupid, eh?

Quote:
Have you checked NASA yet?


The plot I provided above is from NASA, slow one. I even included the link so you could figure this out for yourself

Here is another one from NASA. It shows about twice as much warming as your measured data. It is measured surface temperature, which matches the predicted surface temperature, spot on.

...

https://climate.nasa.gov/vital-signs/global-temperature/

You are full of crap Lee. Were you really incapable of figuring that one out for yourself, or do you just no care how full of crap you are?
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Re: climate models are spot on
Reply #7 - Apr 28th, 2021 at 9:34pm
 
How is Lee full of crap? Let me count the ways,
Measured data ending in 2013,
Measured data from the sea surface of some parts of the oceans,
Measured data from the troposphere, up to 18km high,
All compared against predicted global surface atmospheric temperatures.
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Re: climate models are spot on
Reply #8 - Apr 28th, 2021 at 9:55pm
 
freediver wrote on Apr 28th, 2021 at 6:50pm:
The point of climate modelling in the context of GHG emissions is to predict the impact on global temperature. Contrary to the crap that Lee has been furiously spewing, they have been remarkably accurate.

https://climate.nasa.gov/news/2943/study-confirms-climate-models-are-getting-fut
ure-warming-projections-right/

[url]https://climate.nasa.gov/system/internal_resources/details/original/2
299_Updated_CMIP3_Model_Comparisons_Hindcast_Forecast_20210122.JPG[/url]

Why does this look so different from the crap that Lee has been posting? Two reasons:

1) Lee's crap tends to leave out a lot of the temperature data. A recent example left out temperature data after 2013.

2) Lee's crap leaves out the global temperature, for example only giving the sea surface temperature in certain parts of the ocean. This would be entirely relevant if the argument over GHG emissions was based only on the sea surface temperature in certain parts of the ocean, but in the context of GHG emissions it is a classic case of cherry picking in order to promote a lie.

One degree in 50 years.

Cause?


(Careful - nobody knows, everyone is guessing. The more politically motivated the guess, the more likely it is BS).

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Estragon: I can’t go on like this.
Vladimir: That’s what you think.
 
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lee
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Re: climate models are spot on
Reply #9 - Apr 28th, 2021 at 10:22pm
 
freediver wrote on Apr 28th, 2021 at 9:21pm:
I see now why you were so embarrassed to post the link - it is based on measured troposphere data, ie up to 18km high.



Obviously you don't understand TLT. That is Lower Troposphere. Not 18Km up. Your ignorance is showing again.

"TLT is a more complex data set constructed by calculating a weighted difference between measurements made at different Earth incidence angles to extrapolate MSU channel 2 and AMSU channel 5 measurements lower in the atmosphere."

http://www.remss.com/measurements/upper-air-temperature/

freediver wrote on Apr 28th, 2021 at 9:21pm:
The plot I provided above is from NASA, slow one. I even included the link so you could figure this out for yourself



Still haven't looked at the data bubbles have you chuckles? Grin Grin Grin Grin Grin Grin

So scared that even when you make mistakes you can't fess up. Grin Grin Grin Grin Grin Grin

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lee
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Re: climate models are spot on
Reply #10 - Apr 28th, 2021 at 10:32pm
 
BTW - here is the underlying data -
Land-Ocean Temperature Index (C)
--------------------------------

Year No_Smoothing  Lowess(5)
----------------------------
1880     -0.16     -0.08
1881     -0.08     -0.12
1882     -0.10     -0.16
1883     -0.16     -0.20
1884     -0.28     -0.23
1885     -0.33     -0.26
1886     -0.31     -0.27
1887     -0.36     -0.27
1888     -0.17     -0.26
1889     -0.10     -0.25
1890     -0.35     -0.25
1891     -0.22     -0.25
1892     -0.27     -0.26
1893     -0.31     -0.26
1894     -0.30     -0.24
1895     -0.23     -0.22
1896     -0.11     -0.20
1897     -0.11     -0.18
1898     -0.27     -0.16
1899     -0.17     -0.17
1900     -0.08     -0.20
1901     -0.15     -0.23
1902     -0.27     -0.25
1903     -0.37     -0.28
1904     -0.47     -0.31
1905     -0.26     -0.33
1906     -0.22     -0.36
1907     -0.38     -0.37
1908     -0.43     -0.39
1909     -0.48     -0.41
1910     -0.43     -0.41
1911     -0.44     -0.39
1912     -0.36     -0.35
1913     -0.34     -0.32
1914     -0.15     -0.31
1915     -0.14     -0.30
1916     -0.35     -0.29
1917     -0.46     -0.29
1918     -0.30     -0.30
1919     -0.28     -0.29
1920     -0.27     -0.28
1921     -0.19     -0.26
1922     -0.28     -0.25
1923     -0.26     -0.24
1924     -0.27     -0.23
1925     -0.22     -0.22
1926     -0.11     -0.22
1927     -0.22     -0.21
1928     -0.20     -0.20
1929     -0.36     -0.19
1930     -0.16     -0.19
1931     -0.10     -0.19
1932     -0.16     -0.18
1933     -0.29     -0.17
1934     -0.13     -0.16
1935     -0.20     -0.14
1936     -0.15     -0.11
1937     -0.03     -0.07
1938     -0.01     -0.02
1939     -0.02      0.03
1940      0.12      0.06
1941      0.18      0.09
1942      0.06      0.10
1943      0.09      0.10
1944      0.20      0.07
1945      0.09      0.04
1946     -0.07      0.00
1947     -0.03     -0.04
1948     -0.11     -0.07
1949     -0.11     -0.08
1950     -0.18     -0.08
1951     -0.07     -0.07
1952      0.01     -0.07
1953      0.08     -0.07
1954     -0.13     -0.07
1955     -0.14     -0.06
1956     -0.19     -0.05
1957      0.05     -0.04
1958      0.06     -0.01
1959      0.03      0.01
1960     -0.03      0.03
1961      0.06      0.01
1962      0.03     -0.01
1963      0.05     -0.03
1964     -0.20     -0.04
1965     -0.11     -0.05
1966     -0.06     -0.06
1967     -0.02     -0.05
1968     -0.08     -0.03
1969      0.05     -0.02
1970      0.03     -0.00
1971     -0.08      0.00
1972      0.01      0.00
1973      0.16     -0.00
1974     -0.07      0.00
1975     -0.01      0.02
1976     -0.10      0.04
1977      0.18      0.07
1978      0.07      0.12
1979      0.16      0.16
1980      0.26      0.20
1981      0.32      0.21
1982      0.14      0.21
1983      0.31      0.21
1984      0.16      0.21
1985      0.12      0.22
1986      0.18      0.24
1987      0.32      0.27
1988      0.39      0.31
1989      0.27      0.33
1990      0.45      0.33
1991      0.41      0.33
1992      0.22      0.33
1993      0.23      0.33
1994      0.32      0.34
1995      0.45      0.37
1996      0.33      0.40
1997      0.46      0.42
1998      0.61      0.44
1999      0.38      0.47
2000      0.39      0.50
2001      0.54      0.52
2002      0.63      0.55
2003      0.62      0.59
2004      0.54      0.61
2005      0.68      0.62
2006      0.64      0.63
2007      0.67      0.64
2008      0.55      0.64
2009      0.66      0.65
2010      0.72      0.65
2011      0.61      0.67
2012      0.65      0.70
2013      0.68      0.74
2014      0.75      0.79
2015      0.90      0.83
2016      1.02      0.88
2017      0.93      0.91
2018      0.85      0.95
2019      0.98      0.98
2020      1.02      1.01

https://data.giss.nasa.gov/gistemp/graphs/graph_data/Global_Mean_Estimates_based...

Have a look at the no smoothing column; that's the one shown on your graph..

You are such a schmuck. Grin Grin Grin Grin Grin
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« Last Edit: Apr 28th, 2021 at 10:40pm by lee »  
 
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Re: climate models are spot on
Reply #11 - Apr 28th, 2021 at 11:25pm
 
Lee.

If your view prevails and:

If you are right what we end up with is a dirtier more polluted world and we save a few dollars.

If you are wrong at least 4 Billion people probably die and it ends up costing 100,000 times what you saved.
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Re: climate models are spot on
Reply #12 - Apr 29th, 2021 at 1:24pm
 
Dnarever wrote on Apr 28th, 2021 at 11:25pm:
If you are right what we end up with is a dirtier more polluted world and we save a few dollars.



New coal fired plant already have scrubbers. Gas fired ones don't have that pollution. Renewables need more copper ( mining and manufacture) than large stationary plant because they need the generators to be either on the top of masts (iron ore and steel manufacturing), and in there silicon manufacture. Also there are large concrete bases gor wind generators and concrete emits CO2.

Just a few for consideration.

Dnarever wrote on Apr 28th, 2021 at 11:25pm:
If you are wrong at least 4 Billion people probably die and it ends up costing 100,000 times what you saved.



You haven't got back on where this 4 billion is going to come from. Not a newspaper report but a study. The WorldBank one uses RPC8.5 which is not really an option. I quoted a part of that the other day.

Also the source of the quote for costs. Is that the UN's want of $100 billion per year?

More -

"Happily — and that’s a word we climatologists rarely get to use — the world imagined in RCP8.5 is one that, in our view, becomes increasingly implausible with every passing year5. Emission pathways to get to RCP8.5 generally require an unprecedented fivefold increase in coal use by the end of the century, an amount larger than some estimates of recoverable coal reserves6. It is thought that global coal use peaked in 2013, and although increases are still possible, many energy forecasts expect it to flatline over the next few decades7."

https://www.nature.com/articles/d41586-020-00177-3

So tell us this study with 4 billion dead and not using RPC8.5. Wink
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Re: climate models are spot on
Reply #13 - Apr 29th, 2021 at 1:45pm
 
More on TLT -

...
Figure 1. Weighting function for each RSS product. The vertical weighting function describes the relative contribution that microwave radiation emitted by a layer in the atmosphere makes to the total intensity measured above the atmosphere by the satellite.


As you can see TLT is the lowest band maximum peak about 2km and that is what the satellite from REMSS uses for climate.

Don't like it? Use UAH.
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Re: climate models are spot on
Reply #14 - Apr 30th, 2021 at 6:24pm
 
Frank wrote on Apr 28th, 2021 at 9:55pm:
freediver wrote on Apr 28th, 2021 at 6:50pm:
The point of climate modelling in the context of GHG emissions is to predict the impact on global temperature. Contrary to the crap that Lee has been furiously spewing, they have been remarkably accurate.

https://climate.nasa.gov/news/2943/study-confirms-climate-models-are-getting-fut
ure-warming-projections-right/

[url]https://climate.nasa.gov/system/internal_resources/details/original/2
299_Updated_CMIP3_Model_Comparisons_Hindcast_Forecast_20210122.JPG[/url]

Why does this look so different from the crap that Lee has been posting? Two reasons:

1) Lee's crap tends to leave out a lot of the temperature data. A recent example left out temperature data after 2013.

2) Lee's crap leaves out the global temperature, for example only giving the sea surface temperature in certain parts of the ocean. This would be entirely relevant if the argument over GHG emissions was based only on the sea surface temperature in certain parts of the ocean, but in the context of GHG emissions it is a classic case of cherry picking in order to promote a lie.

One degree in 50 years.

Cause?


(Careful - nobody knows, everyone is guessing. The more politically motivated the guess, the more likely it is BS).



The cause is GHG emissions. That's why, contrary to the constant stream of crap coming out of Lee, the changes to the measured temperature data match so closely the changes that were predicted base on GHG emissions.
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