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Note that the cell integrated methods have significantly higher errors as compared to bilin. This is in part due to the fact that the target grid is coarse, and the error is computed as a pointwise error at cell centers (as opposed to the harder-to-compute cell averaged areaerror). To check the performance of cell-integrated algorithms without this issue, we used maps to a higher resolution atmosphere where the difference between pointwise and cell-averaged error will be smaller, we ran the test with maps from a coarse to fine grid:
mapping error for the Y16_32 test function IcoswISC30E3r5 → ne120pg2 | |||
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Algorithm | L2 Error | Max Error | num points with missing ocean data |
aave | l2=3.636e-04 | max=1.850e-03 | 0 |
fv2 | l2=5.972e-05 | max=5.959e-04 | 0 |
ESMF bilin | l2=1.232e-04 | max=4.769e-04 | 9315 |
TR bilin | l2=1.231e-04 | max=4.770e-04 | 5809 |
TR intbilin | l2=2.272e-04 | max=2.325e-03 | 0 |
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