CNG: Point cost functions are now based off of inverse square weighting#160
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rcjackson wants to merge 2 commits intoopenradar:mainfrom
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CNG: Point cost functions are now based off of inverse square weighting#160rcjackson wants to merge 2 commits intoopenradar:mainfrom
rcjackson wants to merge 2 commits intoopenradar:mainfrom
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #160 +/- ##
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+ Coverage 70.00% 70.06% +0.06%
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Files 32 32
Lines 5340 5351 +11
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+ Hits 3738 3749 +11
Misses 1602 1602
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The point observation cost function and gradient, instead of using a constant weight for each grid point over a radius of influence from the point observation, now use weights based off of the inverse square of the distance between the grid point and the observation. This is a common technique used for spatial interpolation of point observations for GIS and weather maps and better takes into account the decreasing influence of an observation on the data assimilation the further away it is from the point.