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Table 2

Comparison between flow fields vD,t and vref,t for the QS datasets (i.e., STAGGER and MURaM-QS). RMSE is the root mean squared error (Eq. (1)), Eabs is the mean absolute error (Eq. (2)), Erel is the mean relative error (Eq. (3)), C is the correlation coefficient (Eq. (4)), A is the spatially-averaged normalized dot product (Eq. (5)) and S is the ratio between the integrals of the unsigned shear components of the DeepVel and reference Poynting fluxes (Eq. (9)).

Training set (QS dataset) Quantity (units) Depth RMSE Eabs Erel (%) C ∈ [0, 1] A ∈ [−1, 1] S (no units)
STAGGER vt (km s−1) τ ≈ 1.00 0.777 0.694 70.6 0.841 0.786 0.811
τ ≈ 0.10 0.697 0.620 65.4 0.867 0.810 0.793
τ ≈ 0.01 0.553 0.491 70.3 0.852 0.791 0.729
t ·vt (10−3 s−1) τ ≈ 1.00 0.735 0.577 195.7 0.912
τ ≈ 0.10 0.783 0.618 261.3 0.892
τ ≈ 0.01 0.931 0.733 199.9 0.884
(∇ × v)z (10−3 s−1) τ ≈ 1.00 0.767 0.607 281.6 0.887
τ ≈ 0.10 0.796 0.630 301.9 0.871
τ ≈ 0.01 0.930 0.726 225.6 0.851
MURaM-QS (three-depth version) vt (km s−1) τ ≈ 1.00 1.460 1.130 52.9 0.890 0.862
τ ≈ 0.10 1.303 1.031 55.8 0.904 0.850
τ ≈ 0.01 1.378 1.146 81.5 0.819 0.727
t ·vt (s−1) τ ≈ 1.00 0.029 0.019 753.4 0.511
τ ≈ 0.10 0.018 0.012 579.4 0.469
τ ≈ 0.01 0.017 0.011 5419.6 0.262
(  × v)z (s−1) τ ≈ 1.00 0.031 0.020 883.0 0.467
τ ≈ 0.10 0.020 0.013 540.1 0.444
τ ≈ 0.01 0.019 0.012 610.0 0.245
MURaM-QS (single-depth version) vt (km s−1) d = 0 km 1.386 1.109 54.2 0.907 0.872
d = 144 km 1.741 1.358 67.9 0.827 0.796
d = 560 km 2.110 1.677 117.0 0.415 0.428
t ·vt (s−1) d = 0 km 0.026 0.017 584.3 0.513
d = 144 km 0.036 0.024 653.6 0.411
d = 560 km 0.036 0.023 521.1 0.065
(  × v)z (s−1) d = 0 km 0.027 0.018 665.1 0.466
d = 144 km 0.039 0.025 617.8 0.379
d = 560 km 0.038 0.024 648.0 0.052

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