Closed NathalieRombeek closed 2 years ago
Great work, Nathalie! I'll have a look at it soon. :)
Merging #285 (102227a) into master (99c79d8) will increase coverage by
0.37%
. The diff coverage is98.18%
.:exclamation: Current head 102227a differs from pull request most recent head 166e116. Consider uploading reports for the commit 166e116 to get more accurate results
@@ Coverage Diff @@
## master #285 +/- ##
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+ Coverage 82.34% 82.71% +0.37%
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Files 158 159 +1
Lines 12142 12217 +75
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+ Hits 9998 10105 +107
+ Misses 2144 2112 -32
Flag | Coverage Δ | |
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unit_tests | 82.71% <98.18%> (+0.37%) |
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Impacted Files | Coverage Δ | |
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pysteps/blending/linear_blending.py | 87.34% <97.43%> (+6.57%) |
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pysteps/blending/interface.py | 56.25% <100.00%> (+6.25%) |
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pysteps/tests/test_blending_linear_blending.py | 100.00% <100.00%> (ø) |
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pysteps/io/exporters.py | 54.84% <0.00%> (-0.28%) |
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pysteps/blending/steps.py | 83.89% <0.00%> (-0.03%) |
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pysteps/tests/test_io_fmi_pgm.py | 100.00% <0.00%> (ø) |
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pysteps/tests/test_tracking_tdating.py | 100.00% <0.00%> (ø) |
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pysteps/tests/test_io_fmi_geotiff.py | 100.00% <0.00%> (ø) |
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pysteps/tracking/tdating.py | 91.47% <0.00%> (+1.70%) |
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... and 1 more |
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Congratulations @NathalieRombeek on your first and excellent contribution to pysteps!
Implement option of blending based on the salience weight method, which considers the intensity of the storms, so that cells with high intensity will have a stronger weight during the blending (and hence a longer lifetime). The paper describing this method is this one:
https://journals.ametsoc.org/view/journals/wefo/30/5/waf-d-15-0057_1.xml