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Strategies & Market Trends : 2026 TeoTwawKi ... 2032 Darkest Interregnum

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Nov 6 4:00 PM EST

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To: TobagoJack who wrote (189147)

6/24/2022 5:54:11 AM

From: maceng2

Read Replies (1) of 217553

yep.

If this one is true... and it looks like it could be, it could change things -g-

[My comment: Is the Solar Radiation at the Bottom of the Atmosphere changed by Greenhouse Gases in the Atmosphere, or can the natural Solar Radiation be calculated at the top by removal of the filtering? ]

More Climate revelations from Zoe Phinn

7 Decades of Net Solar Radiation – Zoe's Insights (phzoe.com)

Imagine thinking that the Intergovernmental Panel on Climate (IPCC) is an actual legitimate scientific organization and seeing this diagram:

(source)

Figure TS.6 — IPCC

“Woah” you think to yourself. “Look at what humans have done!”

Notice, there is one natural factor: “Solar Irradiance”. But what they don’t tell you is that this is solar variation at the top of the atmosphere!

What’s been going on at the bottom of the atmosphere for 7 decades?

Net Solar Radiation @ Surface, Source And then you realize what kind of a blatant fraud the IPCC really is.

3 W/m2 over ~70 years or 4 W/m2 over ~35 years completely wipes away their nonsense.

But facts won’t stop them from playing their little game of blaming those they want to punish, sad to say.

Enjoy -Zoe

:-)

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# Zoe Phin, 2022/06/23
# File: ncep.sh
# Run: source ncep.sh; require; download; extract; plot
# Output: netsol.png

require() { sudo apt-get install -y gnuplot python3-xarray python3-netcdf4; }
download() { wget -O ncep.nc 'http://climexp.knmi.nl/NCEPNCAR40/nswrs.sfc.mon.mean.nc'; }
extract() { echo "import xarray as x; import numpy as n
a=6378.137; e=1-6356.752**2/a**2; r=n.pi/180
d = x.open_dataset('ncep.nc')['nswrs']
by_lat=(a*r)**2*(1-e)*n.cos(r*d.lat)/(1-e*n.sin(r*d.lat)**2)**2
for m in d.weighted(by_lat).mean({'lon','lat'}):
print(m.values)" | python3 -u | awk '!/nan/{print 1948+NR/12+1/24" "$1}' | tee sol.mon
}
plot() {
cat sol.mon | yoy 12 > sol.yoy
paste sol.mon sol.yoy > sol.csv
echo "set term png size 740,540
set key outside top center horizontal
set grid xtics ytics
set xrange [1947:2023]
set format y '%.1f'
set ytics 1
plot 'sol.csv' u 1:3 t 'NCEP/NCAR Net Solar (W/m²) - 12mo CMA' w l lw 2 lc rgb 'orange'
" | gnuplot > netsol.png
}
yoy() { awk '{printf "%s ",$2}' | awk -vp=$1 '{ h=p/2;
for (i=0;i<h;i++) print ""
for (i=h;i<=NF-h;i++) { s=0
for (j=i-h+1;j<=i+h;j++) s+=$j/p
printf "%8.6f\n", s
} }'
}

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