RSS temp anomaly for Australia corrected for longitude

I've discovered a mistake in my first attempt at unlocking the RSS temperature file for lower tropospheric temps: my longitude was off by 180 degrees.

Some time around that first attempt I took the time to verify the latitude (described here) but not the longitude. I discovered my mistake when I decided to verify the longitude for an upcoming post. Here is how the latitude and longitude numbers in the 144 x 72 x 458 array should look on a world map:

I was going from the prime meridian instead of the anti-meridian. Whereas I thought I was measuring temp in a rectangle over Australia as shown here:

With temp graph output:

I was in fact measuring southern Brazil, Uruguay and a bit of the Atlantic (blue rectangle):

The correct Australia temp anomaly for the rectangle outlined above should be:

Key lines of Matlab code:

a1 = ncread('uat4_tb_v03r03_anom_chtlt_197812_201602.nc3.nc','brightness_temperature_anomaly')

AusNew = squeeze(tsnansum(a1(118:131,:,:)))

AusNew2 = squeeze(tsnansum(AusNew(23:30,:)))
Aus3=AusNew2'

Aus4 = Aus3/(8*14)

plot(Aus4)

Here is the Steven Goddard graph for comparison. Note the time scale is slightly shorter at both ends of the x-axis:

It's a much better match. Although I got the longitude wrong initially, turns out the latitude was more important than the longitude and there wasn't that much difference due to my mistake. As the above graph shows, Australia has not warmed during the satellite period!

The way I verified the longitude was to take two lines of longitude separated by 180 degrees, one over the North Atlantic (30 W) where there is a smaller seasonal temperature difference than the other line over Siberia (150E).

The graphs of the North Atlantic show a much smaller seasonal difference except for the most northern two lines of latitude I measured over Greenland.

Over Siberia the seasonal temp differences are larger in the north and only gets to a narrower range over the Pacific around latitude 20N.

Also handy for interpreting the above graphs is map of earth average temperature by position here:

Hence I feel confident I've got the data sussed now in preparation for an upcoming post. I've also improved the conversion table I made to convert real latitude and longitude to that required for the .nc file matrix (whole excel sheet here).

Matlab number		Longitude° W/E		Latitude° S/N
1		178.75		88.75
2		176.25		86.25
3		173.75		83.75
4		171.25		81.25
5		168.75		78.75
6		166.25		76.25
7		163.75		73.75
8		161.25		71.25
9		158.75		68.75
10		156.25		66.25
11		153.75		63.75
12		151.25		61.25
13		148.75		58.75
14		146.25		56.25
15		143.75		53.75
16		141.25		51.25
17		138.75		48.75
18		136.25		46.25
19		133.75		43.75
20		131.25		41.25
21		128.75		38.75
22		126.25		36.25
23		123.75		33.75
24		121.25		31.25
25		118.75		28.75
26		116.25		26.25
27		113.75		23.75
28		111.25		21.25
29		108.75		18.75
30		106.25		16.25
31		103.75		13.75
32		101.25		11.25
33		98.75		8.75
34		96.25		6.25
35		93.75		3.75
36		91.25		1.25
37		88.75		1.25
38		86.25		3.75
39		83.75		6.25
40		81.25		8.75
41		78.75		11.25
42		76.25		13.75
43		73.75		16.25
44		71.25		18.75
45		68.75		21.25
46		66.25		23.75
47		63.75		26.25
48		61.25		28.75
49		58.75		31.25
50		56.25		33.75
51		53.75		36.25
52		51.25		38.75
53		48.75		41.25
54		46.25		43.75
55		43.75		46.25
56		41.25		48.75
57		38.75		51.25
58		36.25		53.75
59		33.75		56.25
60		31.25		58.75
61		28.75		61.25
62		26.25		63.75
63		23.75		66.25
64		21.25		68.75
65		18.75		71.25
66		16.25		73.75
67		13.75		76.25
68		11.25		78.75
69		8.75		81.25
70		6.25		83.75
71		3.75		86.25
72		1.25		88.75
73		1.25
74		3.75
75		6.25
76		8.75
77		11.25
78		13.75
79		16.25
80		18.75
81		21.25
82		23.75
83		26.25
84		28.75
85		31.25
86		33.75
87		36.25
88		38.75
89		41.25
90		43.75
91		46.25
92		48.75
93		51.25
94		53.75
95		56.25
96		58.75
97		61.25
98		63.75
99		66.25
100		68.75
101		71.25
102		73.75
103		76.25
104		78.75
105		81.25
106		83.75
107		86.25
108		88.75
109		91.25
110		93.75
111		96.25
112		98.75
113		101.25
114		103.75
115		106.25
116		108.75
117		111.25
118		113.75
119		116.25
120		118.75
121		121.25
122		123.75
123		126.25
124		128.75
125		131.25
126		133.75
127		136.25
128		138.75
129		141.25
130		143.75
131		146.25
132		148.75
133		151.25
134		153.75
135		156.25
136		158.75
137		161.25
138		163.75
139		166.25
140		168.75
141		171.25
142		173.75
143		176.25
144		178.75