list/j=82/l=6 va_4CO2_MPAS_monthly_ave
VARIABLE : VA_4CO2_MPAS_MONTHLY[X=@AVE]
SUBSET : 17 points (Z (Pa))
LONGITUDE: 1.2W(-1.2) to 1.2W
LATITUDE : 63.5N
TIME : 16-JUN 00:00 NOLEAP
1000 / 1: -0.0394
2000 / 2: -0.0227
3000 / 3: -0.0209
5000 / 4: -0.0252
7000 / 5: -0.0219
10000 / 6: -0.0125
15000 / 7: 0.0496
20000 / 8: 0.1512
25000 / 9: 0.1367
30000 / 10: 0.0665
40000 / 11: 0.0014
50000 / 12: -0.0065
60000 / 13: -0.0048
70000 / 14: -0.0037
85000 / 15: -0.0020
92500 / 16: 0.0645
100000 / 17: 0.2435
I corrected the noise of it first and then applied @DIN for the vertical levels.
list/j=82/l=6 test
VARIABLE : VA_4CO2_MPAS_MONTHLY_AVE-0.03951
SUBSET : 17 points (Z (Pa))
LONGITUDE: 1.2W(-1.2) to 1.2W
LATITUDE : 63.5N
TIME : 16-JUN 00:00 NOLEAP
1000 / 1: -0.0789
2000 / 2: -0.0622
3000 / 3: -0.0605
5000 / 4: -0.0647
7000 / 5: -0.0614
10000 / 6: -0.0520
15000 / 7: 0.0101
20000 / 8: 0.1117
25000 / 9: 0.0971
30000 / 10: 0.0270
40000 / 11: -0.0381
50000 / 12: -0.0460
60000 / 13: -0.0443
70000 / 14: -0.0433
85000 / 15: -0.0415
92500 / 16: 0.0250
100000 / 17: 0.2040
When I listed out the results I found that the vertical levels shifted 50 Pa comparing to the original data:
list/j=82/l=6 test_re, test_up, test_down2
LONGITUDE: 1.2W(-1.2) to 1.2W
LATITUDE: 63.5N
TIME: 16-JUN 00:00 NOLEAP
Column 1: TEST_RE[Z=500:103750] is TEST[K=1:17@DIN]/9.8
Column 2: TEST_UP[Z=500:55000] is TEST[K=1:12@DIN]/9.8
Column 3: TEST_DOWN2[Z=55000:103750] is TEST[K=13:17@DIN]/9.8
TEST_RE TEST_UP TEST_DOWN2
I / *: 0.04177 -27.18 27.22
Is there a reason for it?
Thank you in advance.
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