I downloaded all 8-day increment Gross Primary Production data from NASA from 2001 to 2020 (inclusive) to find the 20-year trend.

The Result:

0.0225 --> 0.0246, is +9.17%
This is all good news. Enjoy 🙂 -Zoe
The Code:
# Zoe Phin, 2021/05/03
# File: prod.sh
# Run: source prod.sh; download; index; plot
# Output: trend info & prod.png
require() { sudo apt-get install -y netpbm gmt; }
sets() {
for y in {2001..2020}; do
let n=0
for w in {0..45}; do
d=$(date -d "$y-01-01 +$n days" +%Y-%m-%d)
let n+=8
echo "wget -O $d.png 'https://gibs.earthdata.nasa.gov/wms/epsg4326/all/wms.cgi?REQUEST=GetMap&SERVICE=WMS&FORMAT=image/png&VERSION=1.1.1&SRS=epsg:4326&BBOX=-180,-90,180,90&TRANSPARENT=TRUE&WIDTH=360&HEIGHT=180&LAYERS=MODIS_Terra_L4_Gross_Primary_Productivity_8Day&TIME=$d'"
done
done > sets.sh
}
download() {
sets; bash sets.sh;
find . -name \*png -type f -size -10k -exec rm {} \;
}
scale() {
awk 'BEGIN{
for (i=100;i<=255;i++) printf "%03d 000 000\n", i
for (i=000;i<=255;i++) printf "255 %03d 000\n", i
for (i=255;i>=000;i--) printf "%03d 255 000\n", i
for (i=000;i<=255;i++) printf "000 255 %03d\n", i
for (i=255;i>=000;i--) printf "000 %03d 255\n", i
}' | awk '{printf "s/%s/%0.6f/\n", $0, (NR-1)/1180*0.095 }' > replace.sed
echo "s/000 000 000/999/" >> replace.sed
}
onefile() {
scale; pngtopnm $1 | pnmtoplainpnm | sed '1,3d;s/ /\n/g' | awk '{
printf "%03d %03d %03d\n", $1, $2, $3}' | sed -f replace.sed | sed 's/... ... .../999/' | awk '$1!=999{
l=sprintf("%d",(NR-1)/360)-89.5
a=6378.137; e=1-6356.752^2/a^2; r=atan2(0,-1)/180;
A=(a*r)^2*(1-e)*cos(r*l)/(1-e*sin(r*l)^2)^2
SA+=A; S+=$1*A
} END {
printf "%.6f\n", S/SA
}'
}
index() {
for f in $(ls -1 2*.png); do
echo -n "${f/.png/} "
onefile $f
done | tee .csv
cp .csv bak.csv
}
linear() {
cat .csv | sed \$d | awk '{ "date +%Y\\ %j -d "$1 | getline t; print t" "$2 }' | awk '
{printf "%.4f %s\n", $1+$2/365, $3}' | gmt gmtregress | awk '
NR>1 { printf "%.6f\n", $3 }' | tee .lin | sed -n '1p;$p' | tr '\n' ' ' | awk '{
printf "%.4f --> %.4f, is %+0.2f%\n", $1, $2, ($2/$1-1)*100 }'
}
plot() {
linear; paste -d ' ' .csv .lin > plot.csv
echo "set term png size 740,620
set key outside top center horizontal reverse
set timefmt '%Y-%m-%d'
set xdata time
set xtics format '%Y'
set ytics format '%4.2f'
set ytics 0.01; set mxtics 2; set mytics 5
set xrange ['2000-12-01':'2020-02-01']
set grid xtics mxtics ytics mytics
plot 'plot.csv' u 1:2 t 'Gross Primary Production (kg C/m²)' w lines lw 2 lc rgb '#00CC00',\
'' u 1:3 t 'Linear Regression' w lines lw 3 lc rgb '#005500'
" | gnuplot > prod.png
}
Thanks Zoe. Another great example of real-world data destroying the Global Dooming narrative.
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Thx. Appreciate it!
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Thanks Zoe, very interesting.
I have for a long time been thinking that CO2 curve is just a mirror of a globe getting more and more green every year. If also a total biomass production (not only crops) was available, I am sure that would fit growth of CO2 very nicely with a short delay. I have seen some globe images saying that the globe is getting more and more green, but donât know if real data are available.
Rgds
Asgeir
Alesund
Norway
Fra: Zoe’s Insights
Sendt: onsdag 5. mai 2021 03:58
Til: Innolipid AS
Emne: [New post] Trend in Gross Primary Production
Zoe Phin posted: ” I downloaded all 8-day increment Gross Primary Production data from NASA from 2001 to 2020 (inclusive) to find the 20-year trend. April 23, 2021 The Result: +9.17% Rise 0.0225 –> 0.0246, is +9.17% This is all good news. Enjoy 🙂 -Z”
LikeLiked by 1 person
Thank you. I have global greening data on this blog.
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