... | @@ -12,33 +12,8 @@ graph LR |
... | @@ -12,33 +12,8 @@ graph LR |
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```
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## [makematrix.r](makematrix.r)
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## [makematrix.r](makematrix.r)
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## (1) Loading data for different regions [makematrix.r]
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First step is to get the necessary data from esarchive and saving it in .RData format for separate regions.
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Regions selected are:
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| Region id | Region Name | Lower Left Corner | Upper Right Corner |
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| ------ | ------ | ------ | ------ |
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| 1 | NorthAfrica | (28.13W,1N)| (36.56E,41N) |
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| 2 | SouthAfrica | (5.62E,35S)| (56.24E,1S) |
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| 3 | MiddleEast | (35.16E,1S)| (66.09E,41N) |
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| 4 | NorthwestAsia | (50.62E,36N)| (75.94E,51N) |
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| 5 | SouthwestAsia | (66.09E,5N)| (93.03E,36N) |
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| 6 | NortheastAsia | (70.31EE,31N)| (151.87E,61N) |
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| 7 | Australia | (101.25E,50S)| (181.41E,1S) |
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| 8 | SouthAmerica | (85.78W,60S)| (29.53W,15N) |
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| 9 | NorthAmerica | (160.31W,10N)| (49.22W,71N) |
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| 10 | Europe | (19.69W,36N)| (50.62E,77N) |
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data extracted is:
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* od550duco <- DOD 550 nm coarse
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* emidu <- [kg/m²]
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* ustar <- u* [m/s]
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* ustt <- u* threshold [m/s]
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* roughcor <- roughness correction
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* smoiscor <- moisture correction
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## [correlations.r](correlations.r)
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## (2) Correlation between DOD-emission for different time of the day and season [correlations.r]
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## (2) Correlation between DOD-emission for different time of the day and season [correlations.r]
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(the following scripts and figures correspond to the analysis of the North African region, how)
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(the following scripts and figures correspond to the analysis of the North African region, how)
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