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Ocean_SST_Usecase 6

Difference between version 3 and version 2:

Line 1 was replaced by line 1
- Use Case #6 - ANALYZE Matchup Data Sets - Alternate
+ !!Usecase #6 - ANALYZE Matchup Data Sets - Alternate
Lines 3-55 were replaced by lines 3-49
- Version - 1.0
-
- Summary
-
- Obtain target minus comparison SST data set statistics from the match-up data base
-
- The interface should provide flexible access to a range of analytical capabilities.
-
- Input: A match-up data set generated by Use Case #3.
-
- Output: Statistical representations of the target minus comparison data set SST values.
-
- Preconditions
-
- Triggers
-
- Basic course of events
-
- 1) Define refinement parameters:
- - nearest neighbor,
- - average
- - variance
- - min-max difference
-
- 2) Refine match-up
- - Calculate target, comparison SST-tuples (1 SST value for the target data set and 1 for point or line data sets or N-2 for N-2 field data sets); e.g., using nearest neighbor, average, bi-linear interpolation,...
- - Calculate statistic associated with target and comparison match-ups; e.g., variance, min-max difference, skewness,...
-
- 3) Define filter (or stratify) parameters:
- - space
- - time
- - refined statistic
- - target-comparison distance in space and time
- - comparison data set
-
- 4) Define statistical analyses;
- - histogram differences
- - mean and variance
-
- 5) Apply statistical analyses on the refined match-up data set target minus comparison SST value; one difference for each of the N-2 data sets in the match-up element.
-
- 6) Output plots, tables
-
- Alternative paths
-
- Postconditions
-
- Business rules
-
- Notes
-
- Author and date - SST Use Case Development Group 25 July 2007.
-
+ __Version:__ 1.0\\
+ \\
+ __Summary:__\\
+ \\
+ Obtain target minus comparison SST data set statistics from the match-up data base.\\
+ \\
+ The interface should provide flexible access to a range of analytical capabilities.\\
+
+ *__Input:__ A match-up data set generated by Use Case #3.
+ *__Output:__ Statistical representations of the target minus comparison data set SST values.
+
+ __Preconditions:__\\
+ \\
+ __Triggers:__\\
+ \\
+ __Basic course of events:__\\
+ \\
+ #Define refinement parameters:
+ - nearest neighbor,\\
+ - average\\
+ - variance\\
+ - min-max difference\\
+ #Refine match-up
+ - Calculate target, comparison SST-tuples (1 SST value for the target data set and 1 for point or line data sets or N-2 for N-2 field data sets); e.g., using nearest neighbor, average, bi-linear interpolation,...\\
+ - Calculate statistic associated with target and comparison match-ups; e.g., variance, min-max difference, skewness,...\\
+ #Define filter (or stratify) parameters:
+ - space\\
+ - time\\
+ - refined statistic\\
+ - target-comparison distance in space and time\\
+ - comparison data set\\
+ #Define statistical analyses;
+ - histogram differences\\
+ - mean and variance\\
+ #Apply statistical analyses on the refined match-up data set target minus comparison SST value; one difference for each of the N-2 data sets in the match-up element.
+ #Output plots, tables
+
+ __Alternative paths:__\\
+ \\
+ __Postconditions:__\\
+ \\
+ __Business rules:__\\
+ \\
+ __Notes:__\\
+ \\
+ __Author and date -__ SST Use Case Development Group 25 July 2007.\\
+ \\

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