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Interpolation of temperature at 2m is affected by the changes to:

  • the land sea-mask processing
  • the default interpolation method
  • the distance computation and selection of nearest points

HRES - O1280

Temperature at 2m has been interpolated from the O1280 target grid to regular lat-lon grids at different resolutions

  • Differences For the cases shown here, differences between MIR and EMOSLIB generally lie between +/-5K.
  • In general, more than 95% 99.55% of points differ by less than +/-1K0.5 K.
  • Largest The largest differences occur close to the coasts and in areas of steep orography where the gradient of the 2m temperature field changes most rapidly

The plots show the differences with the contours chosen on a logarithmic scale to enhance the smaller differences.  Grid points where the absolute difference is greater than 50% of the maximum absolute difference are indicated with red (EMOSLIB greater than MIR) and blue (EMOSLIB less than MIR) filled

...

circles.


    -3.908096 126477               126477 344858    11 001059%344858 563239 -             44 004238%563239 781619 -            481 046328%781619 000000 -         327788 ( 31.571506%)
0.000000 : 0.781619 -         709392 ( 68.326399%)
0.781619 : 1.563239 -            455 043824%563239 344858 -             61 005875%
344858 126477 -              7 000674%
126477 3908096                   -4.168945 : -3.335156 -              1 000385%3335156 2501367 -              3 001154%2501367 1667578    17 006540%1667578 0833789    149 057325%0833789 000000 -         130503 ( 50.208910%)
0.000000 833789 -         129088 ( 49.664512%)
0.833789 667578 -            138 053093%667578 501367 -             18 006925%
501367 335156               335156 168945                   -2.676575 : -2.141260 -              0 (  0.000000%)
-2.141260 : -1.605945 -              1 (  0.001535%)
-1.605945 : -1.070630 -             19 (  0.029159%070630 535315 -             84 128913%535315 000000 -          29936 ( 45.942296%)
0.000000 : 0.535315 -          35020 ( 53.744629%)
0.535315 : 1.070630 -             80 122775%
070630 1605945    15 023020%1605945 2141260               )
2.141260 : 2.676575 -              4 (  0.006139%Image Removed
Target resolutionStatistics of differencesHistogram of differencesGlobalEurope
0.1x0.1

Maximum difference = 4.757812
Minimum difference = -4.185547
Average difference = -0.000148
Mean Mean absolute difference = - 0.000148011020
Median absolute difference = 0.000000001953
Standard deviation = 0.054195
Variance RMS of differences = 0.002937054195RMS of differences = 0.054195

    -4.757812 : -3.806250 -              2  (0.000031%)
    -3.806250 : -2.854687 -             19  (0.000293%)
    -2.854687 : -1.903125 -            140  (0.002159%)
    -1.903125 : -0.951563 -           1528  ( 0.023567%)
    -0.951563 : 0.000000 -        1943245  (29.971698%)
    0.000000 : 0.951562 -        4537029  (69.977004%)
    0.951562 : 1.903125 -           1473  (0.022719%)
    1.903125 : 2.854687 -            148  (0.002283%)
    2.854687 : 3.806250 -             13  (0.000201%)
    3.806250 : 4.757812 -              3  (0.000046%)

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 Percentage of points with absolute difference

        < 0.5 = 99.771%
        < 1.0 = 99.955%
        < 2.0 = 99.996%

-5.500000 : -4.500000 -          0 (  0.000000%)
-4.500000 : -3.500000 -          4 (  0.000062%)
-3.500000 : -2.500000 -         44 (  0.000679%) -2.500000 : -1.500000 -        322 (  0.004966%)
-1.500000 : -0.500000 -       7168 (  0.110556%)
-0.500000 : 0.500000 -    6468824 ( 99.772102%)
  0.500000 : 1.500000 -       6847 (  0.105605%)
  1.500000 : 2.500000 -        354 (  0.005460%)
  2.500000 : 3.500000 -         31 (  0.000478%)
  3.500000 : 4.500000 -          4 (  0.000062%)
  4.500000 : 5.500000 -          2 (  0.000031%)



0.125x0.125

Maximum difference = 5.131653
Minimum difference = -3.907410
Average difference = -0.000150
Mean Mean absolute difference = - 0.000150011335
Median absolute difference = 0.000793001160
Standard deviation = 0.054557
Variance RMS of differences = 0.002976054557RMS of differences = 0.054557

 Percentage of points with absolute difference

        < 0.5 = 99.772%
        < 1.0 = 99.954%
        < 2.0 = 99.996%

-6.500000 : -5.500000 -          0 (  0.000000%)
-5.500000

 -5.131653

: -4.

105322

500000 -

             

          0 (  0.000000%)
-4.

105322

500000 : -3.

078992 -              6

500000 -          3 (  0.

000145%

000072%)
-3.

078992

500000 : -2.

052661 -             66

500000 -         25 (  0.

001590%

000602%)
-2.

052661

500000 : -1.

026331 -            811

500000 -        230 (  0.

019542%

005542%)

 


-1.

026331

500000 : -0.

000000 -        1904768 ( 45.897139%)
0.000000 : 1.026331 -        2243534 ( 54.060018%)
1.026331 : 2.052661 -            823 (  0.019831%)
2.052661 : 3.078992 -             67 (  0.001614%)
3.078992 : 4.105322 -              4 (  0.000096%)
4.105322 : 5.131653 -             

500000 -       4543 (  0.109468%)
-0.500000 : 0.500000 -    4140621 ( 99.772077%)
 0.500000 : 1.500000 -       4386 (  0.105685%)
 1.500000 : 2.500000 -        249 (  0.006000%)
 2.500000 : 3.500000 -         20 (  0.000482%)
 3.500000 : 4.500000 -          2 (  0.000048%)
 4.500000 : 5.500000 -          1 (  0.000024%)
 5.500000 : 6.500000 -          0 (  0.000000%)



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0.25x0.25

Maximum difference = 3.029404
Minimum difference = -3.908096
Average difference = -0.000183
Mean Mean absolute difference = - 0.000183011457
Median absolute difference = 0.000107001846
Standard deviation = 0.057023
Variance RMS of differences = 0.003252057023RMS of differences = 0.057023

Percentage of points with absolute difference

        < 0.5 = 99.743%
        < 1.0 = 99.946%
        < 2.0 = 99.996%

-4.500000 : -3.

500000 -

          1 (  0.000096%)
-3.

500000 : -2.

500000 -

         

7 (  0.

000674%)
-2.

500000 : -1.

500000 -         60 (  0.

005779%)
-1.

500000 : -0.

500000 -       1293 (  0.

124538%)
-0.

500000 : 0.

500000 -    1035573 ( 99.743123%)
  0.500000 : 1.500000 -       1224 (  0.

117892%)
  1.

500000 : 2.

500000 -         79 (  0.

007609%)
 

2.

500000 : 3.

500000 -          3 (  0.

000289%)
 

3.

500000 :

4.

500000 -

          0 (  0.000000%)

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0.5x0.5

Maximum difference = 4.168945
Minimum difference = -3.477539
Average difference = -0.000101
Mean Mean absolute difference = - 0.000101013174
Median absolute difference = - 0.000977
Standard deviation = 0.066953
Variance RMS of differences = 0.004483066953RMS of differences = 0.066953

Percentage of points with absolute difference

        < 0.5 = 99.645%
        < 1.0 = 99.920%
        < 2.0 = 99.990%

-5.500000 : -4.500000 -          0 (  0.

000000%)
-

4.

500000 : -

3.

500000 -          0 (  0.

000000%)

-3.

500000 : -

2.

500000 -

         

4 (  0.

001539%)
-

2.

500000 : -

1.

500000 -

        

23 (  0.

008849%)
-

1.

500000 : -0.

500000 -        434 (  0.166974%)
-0.500000 : 0.

500000 -     258998 ( 99.645275%)
  0.500000 : 1.

500000 -        433 (  0.

166590%)
  1.

500000 : 2.

500000 -         25 (  0.

009618%)
 

2.

500000 : 3.

500000 -

          2 (  0.000769%)
  3.

500000 : 4.

500000 -

          1 (  0.000385%)

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  4.500000 : 5.500000 -          0 (  0.000000%)



1.0x1.0

Maximum difference = 2.676575
Minimum difference = -1.856628
Average difference = -0.000261
Mean Mean absolute difference = - 0.000261013214
Median absolute difference = 0.000793001160
Standard deviation = 0.063501
Variance = 0.004032
RMS of differences = 0.063501

Percentage of points with absolute difference

        < 0.5 = 99.652%
        < 1.0 = 99.932%
        < 2.0 = 99.994%

-3.500000 : -2.500000 -          0 (  0.000000%)
-2.500000 : -1.500000 -          2 (  0.003069%)
-1.

500000 : -0.

500000 -        116 (  0.

178023%)
-0.

500000 : 0.

500000 -      64933 ( 99.651627%)
  0.500000 : 1.500000 -        104 (  0.

159607%)
 

1.

500000 :

2.

500000 -

         

4 (  0.

006139%)

  2.

500000 :

3.

500000 -

          1 (  0.001535%

)

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