Average Moon Temperature

The Diviner Lunar Radiometer Experiment onboard the Lunar Reconnaissance Orbiter (LRO) has been acquiring moon data since July 2009. A very detailed paper [Williams 2017] was written, yet nowhere does it answer the simple question: what is the average temperature of the moon?

[Nikolov & Zeller 2014] intelligently guessed that the mean moon temperature is 197.3 °K, based on techniques and data from [Vasavada 2012].

Today I will be using derived diviner data to calculate the average temperature on the moon. My data has two sources: UCLA and WUSTL. The first has hourly data, and the other has 15 minute data (although many fields are missing). The final result of the two should not differ highly.

I will be using a moon flattening parameter of 1/581.9 from [Araki 2009].

Paste the following into a new file called moontemp.sh:

# source moontemp.sh
# Zoe Phin, 2020/02/12

download1() {
    for l in {000..345..15}; do                   
        echo http://luna1.diviner.ucla.edu/~jpierre/diviner/level4_raster_data/diviner_tbol_snapshot_${l}E.xyz        
    done | wget -ci -
}

download2() {
    base="https://pds-geosciences.wustl.edu/lro/lro-l-dlre-4-rdr-v1/lrodlr_1001/data/gcp"
    for l in {0..8}; do let m=l+1; wget -c $base/global_cumul_avg_cyl_${l}0n${m}0n_002.tab; done    
    for l in {9..1}; do let m=l-1; wget -c $base/global_cumul_avg_cyl_${l}0s${m}0s_002.tab; done 
}

avg() { 
    awk '{ f=1/581.9; e=2*f-f^2; r=atan2(0,-1)/180
        T[$1]+=$3; N[$1]+=1; A[$1]+=r/2876.71*(1-e)*cos(r*$1)/(1-e*sin(r*$1)^2)^2
    } END { for (L in T) print L" "T[L]/N[L]" "A[L]}' | sort -n | awk '{
        printf "%6.2f %7.3f %.9f\n", $1, $2, $3; T+=$2*$3
    } END {printf "\nMoonT: %7.3f\n", T}'
}

calc_ucla() {
    awk '{T[$2" "$1]+=$3;N[$2" "$1]+=1} END {for (L in T) print L" "T[L]/N[L]}' *.xyz | avg 
}

calc_wustl() {
    awk -F, '$11>0{T[$2" "$1]+=$11;N[$2" "$1]+=1} END {for (L in T) print L" "T[L]/N[L]}' *.tab | avg          
}

Source the file and download all:

> source moontemp.sh
> download1
> download2

Run UCLA data:

> calc_ucla

-89.75 110.538 0.000019126
-89.25 111.747 0.000057376
-88.75 100.500 0.000095622
-88.25  86.845 0.000133861
-87.75  95.390 0.000172088
-87.25  93.020 0.000210302
-86.75 102.408 0.000248500
-86.25 111.180 0.000286677
-85.75 115.274 0.000324832
-85.25 116.388 0.000362962
-84.75 108.500 0.000401062
-84.25 114.433 0.000439131
-83.75 121.392 0.000477164
-83.25 127.846 0.000515160
-82.75 131.893 0.000553116
-82.25 128.598 0.000591027
-81.75 129.399 0.000628891
-81.25 128.545 0.000666706
-80.75 133.838 0.000704468
-80.25 136.010 0.000742174
-79.75 138.313 0.000779822
-79.25 137.705 0.000817407
-78.75 138.701 0.000854928
-78.25 139.370 0.000892381
-77.75 144.802 0.000929764
-77.25 146.782 0.000967073
-76.75 144.926 0.001004310
-76.25 148.518 0.001041460
-75.75 149.069 0.001078530
-75.25 152.516 0.001115520
-74.75 152.217 0.001152410
-74.25 152.631 0.001189220
-73.75 152.798 0.001225930
-73.25 155.469 0.001262550
-72.75 156.950 0.001299060
-72.25 159.616 0.001335480
-71.75 160.702 0.001371780
-71.25 161.436 0.001407980
-70.75 161.486 0.001444070
-70.25 161.645 0.001480050
-69.75 163.806 0.001515910
-69.25 164.137 0.001551640
-68.75 165.462 0.001587260
-68.25 167.220 0.001622750
-67.75 168.373 0.001658120
-67.25 168.937 0.001693350
-66.75 170.094 0.001728450
-66.25 169.680 0.001763410
-65.75 170.751 0.001798240
-65.25 173.129 0.001832920
-64.75 173.381 0.001867460
-64.25 173.632 0.001901860
-63.75 173.722 0.001936100
-63.25 174.360 0.001970190
-62.75 175.614 0.002004130
-62.25 177.573 0.002037910
-61.75 179.016 0.002071530
-61.25 178.989 0.002104990
-60.75 179.494 0.002138290
-60.25 179.960 0.002171410
-59.75 181.011 0.002204370
-59.25 182.461 0.002237150
-58.75 182.690 0.002269760
-58.25 183.011 0.002302190
-57.75 183.615 0.002334440
-57.25 184.528 0.002366510
-56.75 185.143 0.002398400
-56.25 186.270 0.002430100
-55.75 186.498 0.002461600
-55.25 187.116 0.002492920
-54.75 187.195 0.002524040
-54.25 188.222 0.002554970
-53.75 188.844 0.002585690
-53.25 189.003 0.002616220
-52.75 189.486 0.002646540
-52.25 190.722 0.002676650
-51.75 191.521 0.002706560
-51.25 192.018 0.002736260
-50.75 192.537 0.002765740
-50.25 192.778 0.002795010
-49.75 193.104 0.002824070
-49.25 193.643 0.002852900
-48.75 193.701 0.002881510
-48.25 194.512 0.002909900
-47.75 194.982 0.002938070
-47.25 195.687 0.002966010
-46.75 196.402 0.002993710
-46.25 196.603 0.003021190
-45.75 197.278 0.003048430
-45.25 197.688 0.003075440
-44.75 197.725 0.003102210
-44.25 198.564 0.003128740
-43.75 199.242 0.003155030
-43.25 199.568 0.003181080
-42.75 199.526 0.003206880
-42.25 199.664 0.003232430
-41.75 200.097 0.003257730
-41.25 200.912 0.003282790
-40.75 201.339 0.003307590
-40.25 202.002 0.003332140
-39.75 202.196 0.003356430
-39.25 202.276 0.003380460
-38.75 202.741 0.003404230
-38.25 203.329 0.003427750
-37.75 203.479 0.003451000
-37.25 203.857 0.003473980
-36.75 204.337 0.003496700
-36.25 204.448 0.003519150
-35.75 204.869 0.003541330
-35.25 205.275 0.003563240
-34.75 205.667 0.003584880
-34.25 205.934 0.003606240
-33.75 206.271 0.003627330
-33.25 206.483 0.003648140
-32.75 206.833 0.003668680
-32.25 207.007 0.003688930
-31.75 207.205 0.003708900
-31.25 207.485 0.003728590
-30.75 207.829 0.003747990
-30.25 208.459 0.003767110
-29.75 208.617 0.003785940
-29.25 208.895 0.003804480
-28.75 209.002 0.003822740
-28.25 208.976 0.003840700
-27.75 209.538 0.003858370
-27.25 209.768 0.003875750
-26.75 210.352 0.003892830
-26.25 210.413 0.003909620
-25.75 210.867 0.003926110
-25.25 211.035 0.003942300
-24.75 211.327 0.003958190
-24.25 211.227 0.003973790
-23.75 211.620 0.003989080
-23.25 212.096 0.004004070
-22.75 212.105 0.004018760
-22.25 212.073 0.004033140
-21.75 212.344 0.004047210
-21.25 212.649 0.004060980
-20.75 212.928 0.004074450
-20.25 213.122 0.004087600
-19.75 213.306 0.004100450
-19.25 213.395 0.004112980
-18.75 213.606 0.004125210
-18.25 213.724 0.004137120
-17.75 213.809 0.004148720
-17.25 214.029 0.004160010
-16.75 214.091 0.004170990
-16.25 214.020 0.004181650
-15.75 214.188 0.004191990
-15.25 214.468 0.004202020
-14.75 214.733 0.004211730
-14.25 214.766 0.004221120
-13.75 214.743 0.004230200
-13.25 215.075 0.004238950
-12.75 215.175 0.004247390
-12.25 215.205 0.004255510
-11.75 215.291 0.004263300
-11.25 215.631 0.004270780
-10.75 215.731 0.004277940
-10.25 215.824 0.004284770
 -9.75 215.847 0.004291280
 -9.25 216.019 0.004297470
 -8.75 216.254 0.004303330
 -8.25 216.301 0.004308870
 -7.75 216.361 0.004314090
 -7.25 216.454 0.004318980
 -6.75 216.384 0.004323550
 -6.25 216.570 0.004327790
 -5.75 216.539 0.004331710
 -5.25 216.662 0.004335300
 -4.75 216.713 0.004338570
 -4.25 216.684 0.004341510
 -3.75 216.822 0.004344120
 -3.25 217.028 0.004346410
 -2.75 217.014 0.004348370
 -2.25 217.030 0.004350000
 -1.75 217.149 0.004351310
 -1.25 217.148 0.004352290
 -0.75 217.118 0.004352940
 -0.25 217.131 0.004353270
  0.25 217.131 0.004353270
  0.75 217.240 0.004352940
  1.25 217.215 0.004352290
  1.75 217.240 0.004351310
  2.25 217.256 0.004350000
  2.75 217.107 0.004348370
  3.25 217.113 0.004346410
  3.75 217.040 0.004344120
  4.25 216.983 0.004341510
  4.75 216.931 0.004338570
  5.25 216.871 0.004335300
  5.75 216.831 0.004331710
  6.25 216.701 0.004327790
  6.75 216.656 0.004323550
  7.25 216.717 0.004318980
  7.75 216.789 0.004314090
  8.25 216.628 0.004308870
  8.75 216.441 0.004303330
  9.25 216.380 0.004297470
  9.75 216.352 0.004291280
 10.25 216.287 0.004284770
 10.75 216.194 0.004277940
 11.25 216.113 0.004270780
 11.75 215.904 0.004263300
 12.25 215.766 0.004255510
 12.75 215.754 0.004247390
 13.25 215.668 0.004238950
 13.75 215.504 0.004230200
 14.25 215.449 0.004221120
 14.75 215.361 0.004211730
 15.25 215.048 0.004202020
 15.75 214.742 0.004191990
 16.25 214.674 0.004181650
 16.75 214.590 0.004170990
 17.25 214.502 0.004160010
 17.75 214.531 0.004148720
 18.25 214.349 0.004137120
 18.75 214.273 0.004125210
 19.25 214.167 0.004112980
 19.75 213.801 0.004100450
 20.25 213.556 0.004087600
 20.75 213.123 0.004074450
 21.25 213.120 0.004060980
 21.75 212.942 0.004047210
 22.25 212.636 0.004033140
 22.75 212.513 0.004018760
 23.25 212.112 0.004004070
 23.75 211.977 0.003989080
 24.25 211.909 0.003973790
 24.75 211.629 0.003958190
 25.25 211.476 0.003942300
 25.75 211.027 0.003926110
 26.25 210.862 0.003909620
 26.75 210.510 0.003892830
 27.25 210.405 0.003875750
 27.75 210.150 0.003858370
 28.25 209.810 0.003840700
 28.75 209.589 0.003822740
 29.25 209.128 0.003804480
 29.75 209.121 0.003785940
 30.25 208.887 0.003767110
 30.75 208.520 0.003747990
 31.25 208.118 0.003728590
 31.75 207.895 0.003708900
 32.25 207.487 0.003688930
 32.75 207.224 0.003668680
 33.25 206.852 0.003648140
 33.75 206.578 0.003627330
 34.25 206.238 0.003606240
 34.75 205.897 0.003584880
 35.25 205.553 0.003563240
 35.75 205.236 0.003541330
 36.25 204.862 0.003519150
 36.75 204.382 0.003496700
 37.25 204.062 0.003473980
 37.75 203.723 0.003451000
 38.25 203.273 0.003427750
 38.75 202.940 0.003404230
 39.25 202.578 0.003380460
 39.75 201.890 0.003356430
 40.25 201.613 0.003332140
 40.75 201.259 0.003307590
 41.25 200.688 0.003282790
 41.75 200.437 0.003257730
 42.25 200.291 0.003232430
 42.75 199.786 0.003206880
 43.25 199.203 0.003181080
 43.75 198.752 0.003155030
 44.25 198.529 0.003128740
 44.75 198.064 0.003102210
 45.25 197.678 0.003075440
 45.75 196.640 0.003048430
 46.25 196.054 0.003021190
 46.75 195.885 0.002993710
 47.25 195.866 0.002966010
 47.75 195.388 0.002938070
 48.25 194.087 0.002909900
 48.75 193.621 0.002881510
 49.25 193.414 0.002852900
 49.75 193.144 0.002824070
 50.25 192.485 0.002795010
 50.75 191.851 0.002765740
 51.25 191.477 0.002736260
 51.75 190.991 0.002706560
 52.25 190.311 0.002676650
 52.75 189.843 0.002646540
 53.25 189.517 0.002616220
 53.75 188.474 0.002585690
 54.25 187.944 0.002554970
 54.75 187.390 0.002524040
 55.25 187.308 0.002492920
 55.75 186.351 0.002461600
 56.25 185.324 0.002430100
 56.75 185.153 0.002398400
 57.25 184.717 0.002366510
 57.75 184.195 0.002334440
 58.25 183.457 0.002302190
 58.75 182.550 0.002269760
 59.25 181.897 0.002237150
 59.75 180.882 0.002204370
 60.25 180.425 0.002171410
 60.75 179.733 0.002138290
 61.25 178.569 0.002104990
 61.75 177.431 0.002071530
 62.25 177.406 0.002037910
 62.75 176.133 0.002004130
 63.25 174.992 0.001970190
 63.75 174.263 0.001936100
 64.25 174.045 0.001901860
 64.75 173.420 0.001867460
 65.25 172.958 0.001832920
 65.75 171.647 0.001798240
 66.25 170.659 0.001763410
 66.75 168.890 0.001728450
 67.25 168.258 0.001693350
 67.75 167.299 0.001658120
 68.25 166.353 0.001622750
 68.75 165.771 0.001587260
 69.25 164.839 0.001551640
 69.75 164.604 0.001515910
 70.25 163.729 0.001480050
 70.75 162.392 0.001444070
 71.25 160.312 0.001407980
 71.75 159.079 0.001371780
 72.25 158.767 0.001335480
 72.75 158.000 0.001299060
 73.25 155.641 0.001262550
 73.75 154.728 0.001225930
 74.25 152.357 0.001189220
 74.75 152.286 0.001152410
 75.25 152.446 0.001115520
 75.75 151.423 0.001078530
 76.25 149.418 0.001041460
 76.75 147.758 0.001004310
 77.25 145.345 0.000967073
 77.75 145.334 0.000929764
 78.25 143.694 0.000892381
 78.75 143.395 0.000854928
 79.25 141.426 0.000817407
 79.75 139.245 0.000779822
 80.25 134.396 0.000742174
 80.75 134.638 0.000704468
 81.25 132.923 0.000666706
 81.75 131.281 0.000628891
 82.25 128.608 0.000591027
 82.75 125.593 0.000553116
 83.25 124.031 0.000515160
 83.75 122.858 0.000477164
 84.25 117.375 0.000439131
 84.75 110.464 0.000401062
 85.25 111.891 0.000362962
 85.75 113.233 0.000324832
 86.25 109.398 0.000286677
 86.75 113.166 0.000248500
 87.25 109.039 0.000210302
 87.75  98.730 0.000172088
 88.25  95.876 0.000133861
 88.75  86.159 0.000095622
 89.25  89.165 0.000057376
 89.75 109.777 0.000019126

MoonT: 201.082

First column is latitude, 2nd is average temperature for that latitude +/- 0.5 degrees, and 3rd is the surface area proportion of that latitude +/- 0.5 degrees. 3rd column adds up to 1. MoonT is the area-weighted mean of all latitudes.

Now we do the same for WUSTL data:

> calc_wustl

-89.75 111.192 0.000019126
-89.25 111.660 0.000057376
-88.75 100.290 0.000095622
-88.25  86.871 0.000133861
-87.75  95.084 0.000172088
-87.25  92.831 0.000210302
-86.75 102.601 0.000248500
-86.25 111.243 0.000286677
-85.75 115.981 0.000324832
-85.25 116.198 0.000362962
-84.75 108.497 0.000401062
-84.25 115.692 0.000439131
-83.75 123.413 0.000477164
-83.25 130.003 0.000515160
-82.75 133.344 0.000553116
-82.25 129.484 0.000591027
-81.75 129.702 0.000628891
-81.25 128.091 0.000666706
-80.75 133.846 0.000704468
-80.25 136.168 0.000742174
-79.75 138.256 0.000779822
-79.25 137.502 0.000817407
-78.75 138.429 0.000854928
-78.25 138.730 0.000892381
-77.75 143.939 0.000929764
-77.25 145.831 0.000967073
-76.75 144.331 0.001004310
-76.25 147.966 0.001041460
-75.75 148.465 0.001078530
-75.25 152.140 0.001115520
-74.75 151.776 0.001152410
-74.25 152.297 0.001189220
-73.75 152.585 0.001225930
-73.25 155.127 0.001262550
-72.75 156.952 0.001299060
-72.25 159.367 0.001335480
-71.75 160.486 0.001371780
-71.25 161.450 0.001407980
-70.75 161.246 0.001444070
-70.25 161.774 0.001480050
-69.75 163.612 0.001515910
-69.25 163.996 0.001551640
-68.75 165.422 0.001587260
-68.25 167.346 0.001622750
-67.75 168.544 0.001658120
-67.25 169.355 0.001693350
-66.75 170.667 0.001728450
-66.25 170.258 0.001763410
-65.75 171.491 0.001798240
-65.25 174.150 0.001832920
-64.75 174.220 0.001867460
-64.25 174.762 0.001901860
-63.75 174.905 0.001936100
-63.25 175.696 0.001970190
-62.75 177.189 0.002004130
-62.25 179.499 0.002037910
-61.75 180.929 0.002071530
-61.25 181.092 0.002104990
-60.75 181.633 0.002138290
-60.25 182.008 0.002171410
-59.75 183.258 0.002204370
-59.25 184.545 0.002237150
-58.75 184.681 0.002269760
-58.25 184.960 0.002302190
-57.75 185.818 0.002334440
-57.25 187.257 0.002366510
-56.75 187.572 0.002398400
-56.25 188.767 0.002430100
-55.75 188.732 0.002461600
-55.25 189.269 0.002492920
-54.75 189.528 0.002524040
-54.25 190.825 0.002554970
-53.75 191.269 0.002585690
-53.25 191.363 0.002616220
-52.75 191.864 0.002646540
-52.25 193.107 0.002676650
-51.75 194.078 0.002706560
-51.25 194.501 0.002736260
-50.75 194.990 0.002765740
-50.25 195.240 0.002795010
-49.75 195.366 0.002824070
-49.25 196.196 0.002852900
-48.75 196.037 0.002881510
-48.25 196.876 0.002909900
-47.75 197.586 0.002938070
-47.25 198.416 0.002966010
-46.75 199.182 0.002993710
-46.25 199.469 0.003021190
-45.75 199.996 0.003048430
-45.25 200.541 0.003075440
-44.75 200.536 0.003102210
-44.25 201.071 0.003128740
-43.75 201.588 0.003155030
-43.25 201.680 0.003181080
-42.75 201.665 0.003206880
-42.25 201.937 0.003232430
-41.75 202.546 0.003257730
-41.25 203.719 0.003282790
-40.75 204.205 0.003307590
-40.25 204.736 0.003332140
-39.75 204.970 0.003356430
-39.25 204.972 0.003380460
-38.75 205.850 0.003404230
-38.25 206.663 0.003427750
-37.75 206.584 0.003451000
-37.25 207.040 0.003473980
-36.75 207.439 0.003496700
-36.25 207.656 0.003519150
-35.75 208.246 0.003541330
-35.25 208.680 0.003563240
-34.75 209.273 0.003584880
-34.25 209.473 0.003606240
-33.75 209.612 0.003627330
-33.25 209.509 0.003648140
-32.75 209.973 0.003668680
-32.25 209.766 0.003688930
-31.75 210.415 0.003708900
-31.25 211.005 0.003728590
-30.75 211.611 0.003747990
-30.25 212.332 0.003767110
-29.75 212.587 0.003785940
-29.25 212.645 0.003804480
-28.75 212.918 0.003822740
-28.25 213.020 0.003840700
-27.75 213.443 0.003858370
-27.25 213.599 0.003875750
-26.75 214.268 0.003892830
-26.25 214.016 0.003909620
-25.75 214.252 0.003926110
-25.25 214.595 0.003942300
-24.75 215.184 0.003958190
-24.25 214.881 0.003973790
-23.75 215.254 0.003989080
-23.25 215.482 0.004004070
-22.75 214.994 0.004018760
-22.25 215.303 0.004033140
-21.75 215.699 0.004047210
-21.25 215.885 0.004060980
-20.75 216.148 0.004074450
-20.25 216.335 0.004087600
-19.75 215.992 0.004100450
-19.25 216.290 0.004112980
-18.75 216.212 0.004125210
-18.25 216.517 0.004137120
-17.75 216.406 0.004148720
-17.25 216.614 0.004160010
-16.75 216.567 0.004170990
-16.25 216.449 0.004181650
-15.75 216.859 0.004191990
-15.25 217.096 0.004202020
-14.75 217.008 0.004211730
-14.25 216.947 0.004221120
-13.75 216.897 0.004230200
-13.25 216.589 0.004238950
-12.75 216.806 0.004247390
-12.25 216.571 0.004255510
-11.75 216.447 0.004263300
-11.25 216.478 0.004270780
-10.75 216.249 0.004277940
-10.25 216.115 0.004284770
 -9.75 216.419 0.004291280
 -9.25 216.589 0.004297470
 -8.75 216.901 0.004303330
 -8.25 216.549 0.004308870
 -7.75 216.389 0.004314090
 -7.25 216.261 0.004318980
 -6.75 216.297 0.004323550
 -6.25 216.072 0.004327790
 -5.75 216.128 0.004331710
 -5.25 215.923 0.004335300
 -4.75 215.805 0.004338570
 -4.25 215.933 0.004341510
 -3.75 216.061 0.004344120
 -3.25 216.258 0.004346410
 -2.75 216.291 0.004348370
 -2.25 215.959 0.004350000
 -1.75 215.765 0.004351310
 -1.25 215.792 0.004352290
 -0.75 215.759 0.004352940
 -0.25 215.570 0.004353270
  0.25 215.419 0.004353270
  0.75 215.150 0.004352940
  1.25 215.066 0.004352290
  1.75 214.871 0.004351310
  2.25 214.831 0.004350000
  2.75 214.809 0.004348370
  3.25 214.578 0.004346410
  3.75 214.599 0.004344120
  4.25 214.262 0.004341510
  4.75 213.976 0.004338570
  5.25 213.812 0.004335300
  5.75 213.690 0.004331710
  6.25 213.126 0.004327790
  6.75 212.800 0.004323550
  7.25 212.827 0.004318980
  7.75 212.963 0.004314090
  8.25 212.537 0.004308870
  8.75 212.270 0.004303330
  9.25 211.869 0.004297470
  9.75 211.598 0.004291280
 10.25 211.233 0.004284770
 10.75 211.009 0.004277940
 11.25 210.931 0.004270780
 11.75 210.785 0.004263300
 12.25 210.905 0.004255510
 12.75 210.935 0.004247390
 13.25 210.643 0.004238950
 13.75 210.358 0.004230200
 14.25 210.152 0.004221120
 14.75 209.363 0.004211730
 15.25 208.773 0.004202020
 15.75 208.371 0.004191990
 16.25 208.195 0.004181650
 16.75 208.633 0.004170990
 17.25 208.545 0.004160010
 17.75 208.499 0.004148720
 18.25 208.173 0.004137120
 18.75 208.080 0.004125210
 19.25 207.456 0.004112980
 19.75 207.185 0.004100450
 20.25 206.943 0.004087600
 20.75 206.466 0.004074450
 21.25 206.488 0.004060980
 21.75 206.295 0.004047210
 22.25 205.953 0.004033140
 22.75 205.895 0.004018760
 23.25 205.286 0.004004070
 23.75 205.249 0.003989080
 24.25 204.794 0.003973790
 24.75 204.654 0.003958190
 25.25 204.500 0.003942300
 25.75 203.869 0.003926110
 26.25 203.385 0.003909620
 26.75 203.094 0.003892830
 27.25 203.295 0.003875750
 27.75 203.300 0.003858370
 28.25 203.156 0.003840700
 28.75 202.549 0.003822740
 29.25 202.184 0.003804480
 29.75 201.900 0.003785940
 30.25 201.414 0.003767110
 30.75 201.026 0.003747990
 31.25 200.339 0.003728590
 31.75 200.075 0.003708900
 32.25 199.678 0.003688930
 32.75 199.134 0.003668680
 33.25 199.242 0.003648140
 33.75 198.870 0.003627330
 34.25 198.542 0.003606240
 34.75 197.986 0.003584880
 35.25 197.710 0.003563240
 35.75 197.292 0.003541330
 36.25 196.695 0.003519150
 36.75 196.182 0.003496700
 37.25 195.985 0.003473980
 37.75 195.376 0.003451000
 38.25 195.215 0.003427750
 38.75 194.945 0.003404230
 39.25 194.702 0.003380460
 39.75 194.408 0.003356430
 40.25 194.084 0.003332140
 40.75 193.454 0.003307590
 41.25 192.829 0.003282790
 41.75 192.537 0.003257730
 42.25 192.213 0.003232430
 42.75 191.841 0.003206880
 43.25 191.122 0.003181080
 43.75 190.537 0.003155030
 44.25 190.296 0.003128740
 44.75 190.286 0.003102210
 45.25 189.988 0.003075440
 45.75 189.450 0.003048430
 46.25 188.734 0.003021190
 46.75 188.502 0.002993710
 47.25 188.434 0.002966010
 47.75 187.969 0.002938070
 48.25 186.444 0.002909900
 48.75 186.200 0.002881510
 49.25 186.058 0.002852900
 49.75 185.592 0.002824070
 50.25 185.071 0.002795010
 50.75 184.626 0.002765740
 51.25 184.254 0.002736260
 51.75 184.047 0.002706560
 52.25 183.452 0.002676650
 52.75 182.817 0.002646540
 53.25 182.411 0.002616220
 53.75 181.747 0.002585690
 54.25 181.146 0.002554970
 54.75 180.724 0.002524040
 55.25 180.913 0.002492920
 55.75 180.215 0.002461600
 56.25 179.626 0.002430100
 56.75 179.553 0.002398400
 57.25 178.901 0.002366510
 57.75 178.362 0.002334440
 58.25 177.475 0.002302190
 58.75 176.981 0.002269760
 59.25 176.461 0.002237150
 59.75 176.088 0.002204370
 60.25 175.993 0.002171410
 60.75 175.367 0.002138290
 61.25 174.353 0.002104990
 61.75 173.586 0.002071530
 62.25 173.660 0.002037910
 62.75 172.696 0.002004130
 63.25 171.946 0.001970190
 63.75 171.428 0.001936100
 64.25 171.687 0.001901860
 64.75 171.416 0.001867460
 65.25 171.483 0.001832920
 65.75 170.581 0.001798240
 66.25 169.589 0.001763410
 66.75 168.143 0.001728450
 67.25 167.852 0.001693350
 67.75 167.419 0.001658120
 68.25 166.735 0.001622750
 68.75 166.388 0.001587260
 69.25 165.532 0.001551640
 69.75 165.550 0.001515910
 70.25 164.822 0.001480050
 70.75 163.915 0.001444070
 71.25 162.093 0.001407980
 71.75 161.380 0.001371780
 72.25 161.240 0.001335480
 72.75 160.716 0.001299060
 73.25 158.450 0.001262550
 73.75 157.668 0.001225930
 74.25 155.624 0.001189220
 74.75 155.580 0.001152410
 75.25 156.122 0.001115520
 75.75 155.565 0.001078530
 76.25 154.319 0.001041460
 76.75 153.155 0.001004310
 77.25 150.936 0.000967073
 77.75 151.168 0.000929764
 78.25 149.753 0.000892381
 78.75 148.941 0.000854928
 79.25 146.770 0.000817407
 79.75 143.766 0.000779822
 80.25 138.198 0.000742174
 80.75 137.521 0.000704468
 81.25 134.825 0.000666706
 81.75 132.612 0.000628891
 82.25 129.110 0.000591027
 82.75 124.871 0.000553116
 83.25 122.797 0.000515160
 83.75 121.661 0.000477164
 84.25 116.752 0.000439131
 84.75 110.306 0.000401062
 85.25 111.987 0.000362962
 85.75 113.071 0.000324832
 86.25 109.478 0.000286677
 86.75 113.206 0.000248500
 87.25 108.943 0.000210302
 87.75  98.809 0.000172088
 88.25  96.164 0.000133861
 88.75  86.252 0.000095622
 89.25  89.380 0.000057376
 89.75 110.643 0.000019126

MoonT: 199.386

It’s hard to choose which data is better. The first is complete hourly data, while the latter is 15 minute data but with many missing pieces.

The results are 201.086 °K and 199.386 °K.

The average of the two results is 200.2 °K, and I will leave it at that.

Answer = 200.2 °K

Enjoy 🙂 -Zoe

Update

I was curious about Equations 12 and 13 of [Nikolov & Zeller 2014], so I wrote a little bit more code into moontemp.sh above:

eq12_13() {
    seq 0.05 0.1 89.95 | awk '{ R=atan2(0,-1)/180; L=R*$1
        T=216.313+9.919*L-119.814*L^2+307.116*L^3-466.244*L^4+321.317*L^5-84.973*L^6
        AVG+=T*cos(L)*0.1*R
    } END { printf "MoonT: %7.3f\n", AVG }'
}

I used 216.313 °K as my average equatorial temperature, which I got by averaging UCLA & WUSTL data between -0.25 and 0.25 latitude.

> . moontemp.sh; eq12_13

MoonT: 200.777

The result is only off by half a degree from our answer. This formula is pretty good.

64 thoughts on “Average Moon Temperature

    1. Good question. That could only be figured out from the raw data. That data is too numerous for a laptop (>300MB per 10 minutes), and honestly I haven’t figured out how to combine it properly – so I use derived data from UCLA and WUSTL, who I assume figured it out properly. Unfortunately there is no time component in the derived product, only a long-term average.

      Like

    2. My equitorial T is over 215K, while Vasavada’s is 213K. A ~decade has passed. Yeah, I think the moon did warm.

      Climate alarmists will take this as proof that carbon emissions are driving temperatures as far as the moon.

      Like

  1. Thanks, Zoe. Excellent article on the subject here.

    The problem with your calculation is that for your average temperature of ~ 200K, the equivalent Stefan-Boltzmann radiation is only about 90 W/m2. But we know that the moon’s albedo is on the order of 0.11 – 0.12, meaning that the moon is absorbing some 300 W/m2. It cannot be doing that and only radiate 90 W/m2.

    The problem, of course, is that radiation varies as T^4. So you need to first convert gridcell temperatures to the equivalent radiation, average the radiation, and then convert back to temperature.

    When you do that, you’ll find that the average temperature of the moon is about 270K.

    Best regards,

    w.

    Liked by 1 person

    1. Willis,
      Your first link is my first link. Do you read my articles before you react?

      So what you’re saying is that GISS, HadCRUT, Berekeley, etc. need to first convert all their temperatures to radiation, average that, and then acquire average global temperature?

      Have you told them this? What did they say?

      Like

      1. Thanks, Zoe. I read the article but I didn’t follow all of the links. So sue me.

        As to averaging the temperature, or talking to HadCRUT et al., you can do that if you’re only interested in relative temperature and you make no attempt to relate it to radiation.

        For the difference, you might enjoy my post here.

        Best regards,

        w.

        Like

        1. The thing is that the basic core model of the global warming fraud was always a flat earth model. It was as if there was a pancake planet, exactly twice as far from the sun as earth is, where it was noon all the time, and the only heat transfer that anyone worried about was radiation. This was the watts per square metre only story that dominated in the early days. Of course the frauds have gotten a bit more sophisticated over time. But their evolution has been to tack add-ons to a fundamentally flawed model.

          So if anyone looks like they have been influenced by this flat earth thinking Willis, expect a strong reaction in some circles.

          Like

        2. I’m creating a new camp.

          Here are the camps in climate science:

          Q: Why is the surface temperature what it is?

          A:
          1) Solar alone (Postma)
          2) Solar to the core via entropy top-down “heat creep” (Doug Cotton)
          3) Solar + Gravitational Compression (Nikolov & Zeller)
          4) Solar + GHGs (Mainstream: Alarmists + Lukewarmers)
          5) Solar + Geothermal (I, Zoe)

          Like

        3. Zoe Phin February 14, 2020 at 12:50 am

          5) Solar + Geothermal (I, Zoe)

          I’m also convinced that the very high temperatures on Earth are caused by the sun heating the shallow surface layer of our geothermally heated oceans to the observed temperatures.
          Although the geothermal fluxes are very low, the temperature of our crust and oceans is almost completely from geothermal origin.
          The atmosphere is obviously NOT heating the oceans and the crust 😉
          see https://tallbloke.wordpress.com/2014/03/03/ben-wouters-influence-of-geothermal-heat-on-past-and-present-climate/

          Interested to discuss this approach.

          Liked by 1 person

        4. “The atmosphere is obviously NOT heating the oceans and the crust”

          But no one claims it is. The main energy input is without question insolation ( mainly in the tropics ). The proposition is that the atmosphere is slowing down the cooling of the surface: heat loss to space. The supposed AGW is the degree to which antho-CO2 is increasingly slowing that cooling process.

          The physics says that theoretically it should tend to do that unless the effect is annihilated by other climate feedbacks. I see no evidence that this is even detectable at present. In order to make this a “problem” you need to ASSUME climate feedbacks in the other direction which augment the CO2 warming. This happens in climate models since they include assumptions that create this in the code.

          Models warm too quickly , which is a pretty certain indication they made the wrong assumptions.

          If you try to frame that as the atmosphere transferring heat to the much more massive ocean heat content, it is “obvious” that is not right but that is not what the proposition is.

          What you are doing is called a straw man fallacy.

          Like

        5. Greg February 29, 2020 at 11:06 am

          “The atmosphere is obviously NOT heating the oceans and the crust”

          But no one claims it is.

          Seems you’re not aware of the actual claims the GHE “scientists” are actually making.
          see eg Lacis ea 2010 featuring ao Andrew Lacis and Gavin Schmidt.

          Click to access Lacis%20et%20al.,%202010,%20Science.pdf


          Specifically:

          The Sun is the source of energy that heats
          Earth. Besides direct solar heating of the ground,
          there is also indirect longwave (LW) warming
          arising from the thermal radiation that is emitted
          by the ground, then absorbed locally within the
          atmosphere, from which it is re-emitted in both
          upward and downward directions, further heating
          the ground and maintaining the temperature gradient in the atmosphere.

          Notice “further heating the ground”.
          Since the temperature of the deep oceans is ~275K, some 20K ABOVE what the sun is supposedly capable of, the GHE theory DOES claim that the atmospheric backradiation is warming the oceans.

          Liked by 1 person

        6. Notice the previous sentence saying that heat was emitted by the ground. Also notice where he says this energy came for the sun.

          Obviously the IR emitted by the surface is greater than little bit which gets re-emitted back downwards, so the net flow is the warmer body heating the colder body, not a cold body heating a warmer one.

          Like

  2. Raised on Arthur C. Clarke stories, I was scanning the temps for frost on one side of the Terminator (not Ahnilt) and crackling heat on the other. Everything seemed way too hot until I got to the bottom and the spoiler said the temps were in ºK. Ooops. Nevermind. This is some really nice work, BTW.

    Liked by 1 person

    1. °K was first mentioned in second paragraph.

      You and our host should take note that the unit of temperature is the kelvin ( K ), there is no “degree Kelvin”.

      Like

        1. Oddly , I missed Willis’ moon temp thread until this a.m. He is correct about not adding and averaging temperatures. That is not allowed in physics and his results show that it makes quite a difference on the moon.

          I raised this issue about 4 years ago on Judith Curry’s site:

          https://judithcurry.com/2016/02/10/are-land-sea-temperature-averages-meaningful/

          An average temperature is a statistic, it is not a physically meaningful quantity for energy calculations ( like global warming or moon temps ).

          If you want the know mean temperature of the Greek island of Kos in the month of June it maybe informative. If you want work on energy budgets, GHG “forcings” and such it is meaningless. The current obsession with “average global temperatures” just underlines how little of this has to do with “basic physics” as they so often claim.

          Like

  3. Fascinating discussion, I’m not a scientist and I can’t pretend to understand the math. I do enjoy people using their intellect to rationally discuss ideas. It’s refreshing.
    #3 in your list best describes where I stand. Cause and effect rules supreme over any theoretical model. Also, all heat is “friction”. The spot where heat is occurring at its highest temperature, is also the source of the friction/reaction. Eliminate the variables, what is left must be the answer.
    For example, the south pole experiences six months no Solar input… One variable eliminated. When darkness occurs on the moon or mercury, temperatures quickly plummet to near -300°F. The south pole, in winter, averages -70°F at a height of 10,000 feet. Where does the heat come from to emit IR radiation for six months without a source? Even Mars gets 2x colder than this at night. (Earth heat through 3 miles of ice doesn’t seem to be a factor)
    That just leaves atmospheric pressure, depending on altitude, as the frictional heat source. The greatest amount of heat will occur at the bottom of the air column. The ground.
    Now compare the south pole, to the north pole which experiences the identical circumstances except for one factor, it is at sea level. More atmospheric pressure = higher temperatures then the south pole. The earth heat, in the form of warm liquid Arctic water, is beneath the average thickness of 9 feet of ice. It does not substantially raise the air temperature let alone melt the ice. Even so, it is much warmer than the south pole.
    Now plug-in the next conundrum. Watts per meter squared… The south pole, during the summer, experiences 24 hour sunlight for months! Under the standard model, it should be the hottest place on earth… It’s summertime average is -40°F. That’s only an increase of 30°, unimaginable! Perhaps the sun doesn’t have as much influence as we think. Real “Cause & Affect”, not a theory or a model but actual physical measurements.
    The chinook winds affect… Doesn’t anyone find it curious that the Chinook winds holds the Guinness book of world records for the fastest/hottest temperature fluctuations and yet does not accur in any global warming science models? Even in Antarctica, heavy cold air flows off the continent from 10,000 feet down to sea level heating 50 to 60° as the air compresses. Still cold enough to freeze science vessels in the ice.
    Next conundrum, Mount Everest is closer to the sun receiving more of its fair share of ionizing radiation and sunlight. It’s not hot. Low atmospheric pressure.
    Death Valley, on the other hand, is below sea level having higher atmospheric pressure and is consistently warmer than the surrounding desert. Even in the winter time or cloudy conditions.
    The evidence is clear and reproducible at any location or climate on earth. For every thousand feet you climb out of our atmosphere, you lose 5.4°F (depending on humidity)
    The best part is you can reproduce this Air pressure = heat experiment on every planet in the solar system. (Except for the ones without an atmosphere!) The thicker the atmosphere, the greater the heat. All of the gas giants, for example, are hotter under their atmosphere then the surface of the sun (photosphere).

    Another example I just remembered, storm systems. A low pressure cyclone occurs because matter cannot exist in the same space. Lighter/ more buoyant water vapor pushes air molecules out, resulting in a drop in air pressure, colder temperatures. Lower air pressure always is associated with lower temperatures. Same with the eye of a hurricane.

    Liked by 1 person

  4. Zoe,
    My result for the Moon was 200.3K, very close to your result!

    However this may be the wrong average.
    Though the simple arithmetic average is 200.3K the result calculated from (average(T^4))^0.25 was 270K.
    The temperature of 270K is also what is predicted using an energy balance based on 1360W/m2 and a Bond albedo of 0.11.

    The difference between the simple average and (average(T^4))^0.25 appears to be greatly reduced by an atmosphere, Mars came out as 205 / 208K respectively and the Earth came out as 287.8 / 288.6K respectively.

    Liked by 1 person

    1. “The temperature of 270K is also what is predicted using an energy balance based on 1360W/m2 and a Bond albedo of 0.11.”

      And the moon is the same size as the sun from Earth’s POV. Coincidence.

      Physically placing thermometers on every square meter of the moon would record ~200K. That’s the only measure that counts. Average radiation converted to a temperature is not an experience a human or thermometer would, well, experience.

      Like

      1. “And the moon is the same size as the sun from Earth’s POV. Coincidence.”

        The cycle time of luminosity variations in the star Betelgeuse, 700 light years away, is 430 days. That just happens to be the period of the Chandler nutation in the Earths polar axis. Coincidence, most likely.

        “Physically placing thermometers on every square meter of the moon would record ~200K. That’s the only measure that counts.”

        Wrong. That is not “a measure”, it is millions of measurements. Those individual measurements “count” at individual sites and may be used to calculate energy terms. Means of temperatures from different sites are not physically meaningful and no human has ever experienced such a mean temperature.

        Like

        1. “The average family has 2.3 children. ZERO families have ever “experienced” 2.3 children.”

          Stupid analogy. Temperatures are not limited by whole numbers. You can have 2.3 degrees. Sorry you didn’t know.

          Like

        2. True, no human has ever been to every square meter of moon with a thermometer in his hand. In any case, both human and thermometer will not experience the temperature converted to radiation, averaged, then converted back to temperature (the Willis method).

          Like

        3. It’s not stupid, it is to point out that no one experiences statistics. No being on earth experiences the mean of land and sea surface temperatures , even locally. Yet that seems to have become the definitive parameter we are supposed to destroy our society to “control”.

          At the same time that the means to control this is supposed to be by changing atmospheric CO2 and its “radiative forcing”, we are choosing a physically meaningless metric, not directly related to energy to measure it.

          Like

        4. Right, no ONE being. But we have many thermometers and satellites and we can average it. There’s nothing wrong with this. Did you know that the average North Korean is shorter than a South Korean? Can we learn something from this fact? Sure.

          Like

        5. Lies, damned lies and statistics.

          There is nothing wrong with statistics , it is what you do with them that can go wrong. If you take a thousand temperatures throughout the volume of a pool, you can use them to estimate the total heat content, since it is a uniform medium with the same SHC.

          If you try to use the average temp to work out the energy radiated to space by the surface you will go wrong.

          As I explained above, there are limited situations with special conditions where temp can be used as a proxy for energy but it is still the energy you need to be averaging because it is an extensive property of matter. Temperature is not.

          https://en.wikipedia.org/wiki/Intensive_and_extensive_properties

          Like

      1. Compression causes warming ( more random kinetic energy). Look up Foehn wind phenomenon to understand how it work in the atmosphere as air drops down the leeward side of a mountain.

        Like

        1. BTW the source of the energy is this case is ocean heat content. It’s rather complex series of interactions but if you chase it back the heat energy in the Sirocco winds comes from the ocean originally. This is why that fuss about on meteo station on the tip of the Antarctic peninsula showing 17.5 deg C is a total red scarf trick and bears absolutely no relation to the rest of the Antarctic continent, nor “global warming”.

          Like

        2. “Look up Foehn wind phenomenon to understand how it work in the atmosphere as air drops down the leeward side of a mountain.”

          That side of things is not the real problem. If the air rolls off Atherton tablelands down to Cairns it will heat when it reaches Cairns pressure. No problem there. Like when you compress air in a scuba diving tank. What we really want to know is that if we reduced the air pressure of the globe, such that Cairns air pressure is what Atherton tablelands pressure used to be, would the average temperature of Cairns drop close to what the Atherton tablelands was before?

          I think it probably would drop much of the way. But its hard to prove that. And which is the most productive model? Should we have this air pressure model and use internally generated energy, plus other factors as an add-on? Or should we go to Zoe’s model?

          At least we know that the focus on CO2 is incredibly excessive. Because if it had much of an effect the average temperature of Cairns and the Atherton tablelands would be quickly converging. This we don’t see.

          Like

  5. Greg March 1, 2020 at 4:52 am

    Obviously the IR emitted by the surface is greater than little bit which gets re-emitted back downwards, so the net flow is the warmer body heating the colder body, not a cold body heating a warmer one.

    That is what SHOULD be obvious, even to climate scientists and other Greenhouse believers. Unfortunately it is not.

    This cartoon shows on average 2x greater than the amount of solar that “directly heats the ground”.
    From Lacis ea 2010:

    The Sun is the source of energy that heats Earth.

    This completely ignores the fact that >99% of Earth consists of molten rock and molten metal, with a temperature (much) higher than the surface of Earth. Although solar flux is the highest energy flux at the surface, the heat content of Earth (including crust and oceans) is almost entirely from geothermal origin.
    Our Sun just slightly increases the temperature of the upper 10-20 meters of crust and perhaps the upper 400-500m of our oceans.
    The hot oceans are the main reason for the > 90K higher average surface temperature of Earth compared to our Moon.
    So yes, the atmosphere does slow the energy loss to space, and without atmosphere it would be colder on Earth, but the atmosphere does NOT “further heat” the crust and the oceans.

    Like

  6. @Ben: It is a misunderstanding to think that the vacuum space around the Earth’s atmosphere is “cold.” Vacuum space contains virtually no atoms / molecules and is therefore neither cold nor hot. Only radiation that travels through the vacuum space (such as solar radiation) can heat bodies. Bodies in a vacuum cool slowly by radiating their energy away.

    Compared to the vacuum space, our atmosphere has more options for removing heat. In addition to the above-mentioned absoption options, the conduction and convection help to keep the surface cool. The widespread idea that our atmosphere causes the earth to cool less quickly is based on a completely wrong view. Precisely the contrary is the case. If it wasn’t for the atmosphere, the earth would have far fewer options to dissipate its heat.

    Like

      1. @Visigothkhan: See the work of Alberto Miatello. A link to the article can be found in my reaction to Ben. This article also contains a calculation.

        Like

  7. JackNL March 2, 2020 at 11:47 am

    The widespread idea that our atmosphere causes the earth to cool less quickly is based on a completely wrong view.

    Sorry, not buying. Just look at the lunar temperatures:
    https://www.diviner.ucla.edu/science
    Our moon has no atmosphere to speak of.Yet it is perfectly capable of radiating into space and cool down as quickly as the setting sun allows.
    Only exception the 89 lat plot that bottoms out around 40K,most probably due to the lunar geothermal flux providing a minimum temperature of ~25-50K

    Liked by 1 person

    1. Ben,
      I’m currently working on a new article “Deducing Lunathermal”. Having trouble with all the parameters. Can’t get them to match all observations. But preliminary results show moon-wide average geothermal to be around 105 Kelvin, i.e ~7 W/m^2.

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      1. Zoe Phin March 2, 2020 at 4:01 pm

        https://www.diviner.ucla.edu/science
        Seeing the 89 lat temperature converge to ~40-50K after > 120 earth days without sun and the temperature of the Hermite crater (25K) I’d go for ~100 mW/m^2 of geothermal flux.
        The very low conductivity of the lunar regolith makes 7 W/m^2 look pretty high imo.

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        1. Ben,
          I distinguish between geothermal flux and geothermal emission. The geothermal flux is a gradient measure. It’s important for prospectors but not for surface T.

          The 89th latitude is a very tiny portion of the moon. I was talking about the average for the whole moon.

          Without that 105K support, the sun would have to waste its energy heating deeper, i.e. the surface temperature would go down. If the moon was a dead rock at 0K, the surface T would be fully sun controlled and at T=~160K, rather than the 200K it is with the 105K lunathermal support.

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        2. Zoe Phin March 2, 2020 at 5:42 pm

          Without that 105K support, the sun would have to waste its energy heating deeper, i.e. the surface temperature would go down.

          Agree, but this temperature doesn’t say much about the MAGNITUDE of the flux.
          As long as the mantle is (much) warmer than the surface the Geothermal Gradient settles at the average surface temperature for a given location.

          This one includes permafrost, but the principle applies universally.
          For the moon we need to know the temperature the surface would cool down to after switching of the sun.
          89 lat and the Hermite crater give a good indication. The other latitudes carry stored solar energy to the night side and have a “warmer” GG, so take a loooong time to cool down. ~7 days is not enough.

          I distinguish between geothermal flux and geothermal emission.

          Seems less relevant for Earth, since ~70% of the surface is ocean. The flux (~100 mW/m^2) “heats” the water in contact with the ocean floor by conduction only. Solar flux and GF are separated by some 3000 m water.
          Yet 100 mW/m^2 is enough to bring all ocean water from freezing to boiling in just 500.0000 year.
          Reason the oceans are not boiling is the cold water that sinks to the ocean floor at (very) high latitudes (brine).

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    2. Remember that the moon is a particularly cold lump of rock. The moon has no hot core like the earth does. After the sun has warmed up – a thin shell of the lunar surface – most of the heat is accumulated by the mass of the moon through conduction. A much smaller part of heat is emitted.

      Conduction has much more potential to dissipate heat than emissions.

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  8. It is said that a mars sized object hit the earth. (I’m looking over my shoulder and I see an elephant in the room)
    2 miles of the lunar crust facing the earth is missing, exposing the lunar core. Much of the surface is covered in either basalt or obsidian… Scorch marks probably from an atmosphere encounter at high-speed. If it is lava, the lunar seas are large enough to cover the North American continent and yet there are no volcano(s). Would not that volcano be miles high in the low gravity of the moon? Mount Olympus on Mars is 7 miles high but the base only covers the area of Arizona.
    It’s odd that rock analysis verify that the moon and the earth are made from the same substance. If the moon deposited its outer crust on the earth on top of lime stone from our ancient atmosphere, heat and pressure would turn the calcium carbonate into fossil fuel as the lunar material that now forms our drifting continents slide around in continental drift.
    This also explains how heavy metals are found on earths surface. Such an impact would not only blast granite up from the depths but heat and pressure at the impact site would cause transmutation of the elements normally found only in a supernova. We are not made of star stuff, but moon stuff!
    The heavy metals created in such an impact would not fly outward as atomized plasmas but would be forced into the surrounding dirt as it fell to the surface of the earth captured where we can easily access it. The half-life of uranium would have been spent had it not occurred only a few billion years ago. Not at earths creation, but after life transformed our atmosphere into oxygen which burned on impact. The first and greatest extinction event.
    Magnetic induction will react to any heavy metals in the lunar core. Earths magnetic field is weak. Jupiter, on the other hand, has such a strong magnetic induction to “Io” that the moon is continuously erupting even though it’s in tidel lock. That’s a lot of heat 5 AU from the sun. I wonder if it’s the influence of the great red spot which appears to also be a second magnetic south pole? The magnetic fields will fluctuate strongly with every rotation.

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  9. “It is said that a mars sized object hit the earth. (I’m looking over my shoulder and I see an elephant in the room)”

    This ought to be interpreted as yet another NASA creation myth. This is their creation myth for how the moon was born. These are very primitive people and lacking in creativity. So you’ll probably get better creation myths from the Maori or the Hopi Indians. Its notable that NASA’s creation myths betray the idea that nothing is created except in violence. Its the banking dynasts state of mind. He claps his hands and people come running. He manipulates a war and he achieves some of his goals. So their universe starts with an explosion, their solar system with an implosion, their higher elements are all created in supernovae explosions and the moon is created out of a crash. All complete bullshit and antithetical to any understanding of how complex things are manufactured.

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  10. @Visigothkhan: See the work of Alberto Miatello. A link to the article can be found in my reaction to Ben. This article also contains a calculation.

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    1. I’ll take a look. But Ben’s argument strikes me as pretty sound. In my model the earth will be creating a lot more internal energy than the moon. But there seems to be a big temperature difference here. Maybe more than could be accounted for from new energy creation. Until we can get pretty good evidence to the contrary; Ben’s argument may have the upper hand.

      We can see the stars and galaxies far away. That implies aether in between. Where there is aether there should be both thermal energy and electrical energy transmission. For there not to be thermal energy transmission to space, under those observations, then we are going to need conversion to something other than light ….. and then reconversion back to light when it hits an atmosphere. This is real possibility and we may be experiencing the universe in real-time if so.

      There is some evidence for this possibility. But its by no means cut and dried. On both sides of this argument, there are people brought up on aether denial. So it takes awhile for all parties to bring their head around.

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  11. No wonder the moon cools so fast. That is not because there is no atmosphere, but because the heat disappears very quickly in the very cold mass of the moon by conduction.

    When do you think that you will be supercooled the quickest?
    1) naked in windless weather with a temperature of 0 gr. C. (Mostly emission, with some degree of convection/conduction)
    2) naked in the water with a temperature of 0 gr.C. (conduction)

    The rapid cooling of the moon certainly does NOT prove that the surrounding space would be cold. It shows that conduction has much more potential to dissipate heat than emissions.

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    1. Sure but you cannot rightly just use new data to shore up ONE paradigm. The scientific method, properly considered, should require you to review the data with three-five differing models in mind.

      Highly pressurised nitrogen at 100 degrees Kelvin will cool me faster than space at the same temperature ….. but the claim is being made that space is a super-insulator. Thats a big claim and I don’t see it. I think this is swinging from one extreme, into another, under conditions of aether-denial.

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      1. Read the Miatello article. He calculated the effect. This is not a new fact. Look at insulation glass and a vacuum bottle flask, both use the principle. We have known the insulating effect of vacuum space for decades.

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      2. “but the claim is being made that space is a super-insulator. That’s a big claim”

        Where did I say that? I mainly say that the idea that the space has a temperature of 0k is wrong. The space itself has no temperature. In addition, I say that the space lacks two of the three possible ‘heat transfer principle’. No conduction, no convection, there’s only emission to matter, which is only sporadically present.

        By the way, why would you think our atmosphere would be such a good insulator? Because everyone says so? Don’t believe the hype.

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  12. “No conduction, no convection, there’s only emission to matter, which is only sporadically present.”

    Why not emission to space? Since we can see starlight from millions of light-years away, that looks like emission to space. Since we are told that space is 3 degrees Kelvin that also looks like emission to space.

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