WeatherBlend

Multi-model forecast blending for Bonehill Rocks, Dartmoor

Temperature models

2b (lean) + 2c (rich). MAE °C, lower better. Δ vs best single NWP — negative = blend wins.

Temperature — Bonehill Rocks

Phase 2c · v2026-10-04_135520_phase2c Δ -0.006 vs prev train

Rich blender, 88 features (adds dew/RH/cloud/wind/pressure). Trained 2026-10-04. Metric: Test MAE (°C).

Lead Blend Best single Δ vs best
+24h 0.620 temp_aifs (0.694) -10.7%
+48h 0.702 temp_aifs (0.744) -5.6%
+72h 0.818 temp_aifs (0.850) -3.8%
+96h 0.955 temp_aifs (0.957) -0.2%
+120h 1.281 temp_aifs (1.084) +18.1%
Verify history (44 runs)

Mon + Thu rolling MAE (°C). Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +12h+24h+48h+72h+96h+120h
v2026-09-13_135236_phase2c
v2026-09-27_140136_phase2c
204 1.129
temp_icon: 0.562
1.055
temp_icon: 0.575
0.736
temp_aifs: 0.660
1.157
temp_ukmo: 1.102
1.022
temp_mf: 0.457
1.493
temp_aifs: 0.686
v2026-09-13_135236_phase2c 336 —1.560
temp_aifs: 0.384
0.784
temp_aifs: 0.476
1.072
temp_aifs: 0.510
0.902
temp_aifs: 0.747
1.313
temp_aifs: 1.027
v2026-09-13_135236_phase2c 336 1.375
temp_aifs: 0.615
1.308
temp_aifs: 0.514
0.641
temp_aifs: 0.475
0.996
temp_aifs: 0.525
0.918
temp_aifs: 0.794
1.313
temp_aifs: 1.027
v2026-08-30_135704_phase2c
v2026-09-06_135840_phase2c
672 1.571
temp_aifs: 0.443
1.674
temp_aifs: 0.504
0.680
temp_icon: 0.592
1.044
temp_icon: 0.684
1.095
temp_icon: 0.860
1.618
temp_icon: 0.934
v2026-08-23_135054_phase2c
v2026-08-30_135704_phase2c
672 1.483
temp_aifs: 0.518
1.563
temp_aifs: 0.556
0.643
temp_icon: 0.524
1.112
temp_aifs: 0.455
0.979
temp_mf: 0.419
1.606
temp_aifs: 0.867
v2026-08-23_135054_phase2c
v2026-08-30_135704_phase2c
672 1.458
temp_aifs: 0.592
1.562
temp_aifs: 0.752
0.703
temp_aifs: 0.627
1.011
temp_aifs: 0.704
0.832
temp_aifs: 0.722
1.396
temp_aifs: 0.817
v2026-08-09_140912_phase2c
v2026-08-23_135054_phase2c
704 1.608
temp_aifs: 0.640
1.885
temp_aifs: 0.711
0.961
temp_aifs: 0.656
1.696
temp_aifs: 0.785
1.797
temp_mf: 0.813
1.610
temp_aifs: 0.954
v2026-08-09_140912_phase2c
v2026-08-23_135054_phase2c
728 1.409
temp_icon: 0.535
1.766
temp_icon: 0.342
0.893
temp_icon: 0.799
1.365
temp_aifs: 0.851
1.210
temp_icon: 0.959
1.776
temp_aifs: 1.165
v2026-08-09_140912_phase2c 752 2.109
temp_ecmwf: 0.705
2.238
temp_ecmwf: 0.811
1.248
temp_mf: 0.924
2.111
temp_icon: 1.136
2.007
temp_mf: 1.128
2.672
temp_ecmwf: 1.662
v2026-08-09_140912_phase2c 742 2.203
temp_ecmwf: 0.928
2.264
temp_ecmwf: 0.943
1.429
temp_ecmwf: 1.096
2.379
temp_aifs: 1.366
2.550
temp_mf: 1.522
3.500
temp_ecmwf: 2.271
v2026-08-02_135308_phase2c
v2026-08-09_140912_phase2c
576 2.190
temp_aifs: 1.107
2.133
temp_ecmwf: 1.109
1.462
temp_ukmo: 0.959
2.356
temp_ukmo: 1.051
2.699
temp_aifs: 1.006
2.589
temp_aifs: 1.466
v2026-08-02_135308_phase2c
v2026-08-09_140912_phase2c
576 2.201
temp_aifs: 1.019
2.223
temp_ecmwf: 0.685
0.907
temp_aifs: 0.947
1.263
temp_aifs: 1.026
1.502
temp_aifs: 1.292
2.403
temp_aifs: 1.338
v2026-07-26_135942_phase2c
v2026-08-02_135308_phase2c
624 1.598
temp_ecmwf: 0.841
1.614
temp_ecmwf: 0.709
0.732
temp_icon: 0.720
1.150
temp_icon: 0.753
1.149
temp_icon: 0.763
1.780
temp_aifs: 1.068
v2026-07-26_135942_phase2c
v2026-08-02_135308_phase2c
624 1.598
temp_ecmwf: 0.841
1.614
temp_ecmwf: 0.709
0.732
temp_icon: 0.720
1.150
temp_icon: 0.753
1.149
temp_icon: 0.763
1.780
temp_aifs: 1.068
v2026-07-19_135415_phase2c
v2026-07-26_135942_phase2c
624 1.355
temp_aifs: 0.474
1.483
temp_aifs: 0.566
0.756
temp_aifs: 0.654
1.275
temp_aifs: 0.715
0.942
temp_aifs: 0.623
1.693
temp_aifs: 0.921
v2026-07-19_135415_phase2c
v2026-07-26_135942_phase2c
624 1.459
temp_aifs: 0.365
1.400
temp_aifs: 0.404
0.701
temp_aifs: 0.719
1.211
temp_aifs: 0.882
1.172
temp_aifs: 0.902
1.788
temp_aifs: 0.818
v2026-07-12_135730_phase2c
v2026-07-19_135415_phase2c
624 1.263
temp_aifs: 0.643
1.229
temp_aifs: 0.703
0.779
temp_aifs: 0.800
1.415
temp_aifs: 1.229
1.662
temp_ukmo: 0.723
1.675
temp_aifs: 0.926
v2026-07-12_135730_phase2c
v2026-07-19_135415_phase2c
624 1.301
temp_aifs: 0.809
1.322
temp_ukmo: 0.771
0.777
temp_aifs: 0.841
1.096
temp_aifs: 0.812
1.048
temp_aifs: 0.788
1.439
temp_aifs: 0.838
v2026-07-05_135420_phase2c
v2026-07-12_135730_phase2c
624 1.773
temp_ecmwf: 0.642
1.648
temp_ecmwf: 0.745
0.777
temp_ecmwf: 0.890
1.073
temp_aifs: 0.782
1.209
temp_aifs: 0.885
2.199
temp_aifs: 1.419
v2026-07-05_135420_phase2c
v2026-07-12_135730_phase2c
624 1.949
temp_ecmwf: 0.671
1.803
temp_ecmwf: 0.631
1.450
temp_aifs: 1.089
1.803
temp_aifs: 1.217
1.831
temp_ecmwf: 1.396
2.580
temp_icon: 1.193
v2026-06-28_140921_phase2c
v2026-07-05_135420_phase2c
648 1.713
temp_aifs: 0.828
1.849
temp_aifs: 0.926
1.558
temp_aifs: 1.003
2.025
temp_aifs: 0.983
2.546
temp_aifs: 1.058
2.381
temp_aifs: 1.265
v2026-06-28_140921_phase2c
v2026-07-05_135420_phase2c
648 1.626
temp_aifs: 0.702
2.033
temp_aifs: 0.694
0.710
temp_ecmwf: 0.727
1.141
temp_aifs: 0.987
1.291
temp_aifs: 1.181
1.769
temp_aifs: 1.265
v2026-06-21_135756_phase2c
v2026-06-28_140921_phase2c
648 0.986
temp_aifs: 0.512
0.924
temp_ecmwf: 0.457
0.300
temp_ecmwf: 0.486
0.656
temp_ecmwf: 0.530
0.501
temp_ecmwf: 0.279
1.278
temp_aifs: 0.819
v2026-06-21_135756_phase2c
v2026-06-28_140921_phase2c
648 0.839
temp_ecmwf: 0.522
0.619
temp_ecmwf: 0.242
1.310
temp_aifs: 0.952
1.480
temp_ecmwf: 0.847
1.141
temp_ecmwf: 0.831
1.511
temp_aifs: 0.893
v2026-06-15_083940_phase2c
v2026-06-21_135756_phase2c
600 2.874
temp_ecmwf: 0.813
3.190
temp_aifs: 1.040
2.552
temp_aifs: 1.132
3.273
temp_icon: 1.335
2.759
temp_icon: 0.669
3.570
temp_gfs: 1.613
v2026-06-15_083940_phase2c
v2026-06-21_135756_phase2c
600 1.823
temp_gfs: 0.807
1.968
temp_ukmo: 0.808
0.751
temp_ecmwf: 0.791
0.792
temp_ecmwf: 0.850
0.817
temp_ecmwf: 0.988
1.879
temp_ecmwf: 1.275
v2026-06-07_131622_phase2c
v2026-06-14_134614_phase2c
v2026-06-15_083940_phase2c
720 0.706
temp_aifs: 0.667
0.668
temp_ecmwf: 0.598
0.839
temp_ecmwf: 0.696
0.624
temp_ecmwf: 0.975
0.884
temp_ecmwf: 0.792
0.830
temp_ecmwf: 1.150
v2026-06-07_131622_phase2c
v2026-06-14_134614_phase2c
v2026-06-15_083940_phase2c
720 0.788
temp_aifs: 0.583
0.853
temp_aifs: 0.471
0.471
temp_aifs: 0.673
0.613
temp_aifs: 0.691
0.742
temp_ecmwf: 0.950
0.978
temp_ecmwf: 1.156
v2026-06-01_233346_phase2c
v2026-06-07_131622_phase2c
528 —0.597
temp_icon: 0.524
0.382
temp_aifs: 0.468
0.337
temp_mf: 0.578
0.663
temp_aifs: 0.590
0.499
temp_aifs: 0.542
v2026-06-01_233346_phase2c
v2026-06-07_131622_phase2c
528 —0.692
temp_aifs: 0.558
0.426
temp_aifs: 0.490
0.478
temp_ecmwf: 0.648
0.621
temp_ecmwf: 0.750
0.534
temp_aifs: 0.725
v2026-06-01_233346_phase2c 432 —0.468
temp_aifs: 0.403
0.435
temp_aifs: 0.503
0.566
temp_ecmwf: 0.723
0.642
temp_mf: 0.720
0.949
temp_gfs: 0.871
v2026-05-26_104346_phase2c
v2026-06-01_233346_phase2c
528 —0.485
temp_aifs: 0.354
0.325
temp_aifs: 0.401
0.417
temp_aifs: 0.238
0.614
temp_aifs: 0.724
0.490
temp_aifs: 0.745
v2026-05-26_104346_phase2c
v2026-05-31_201130_phase2c
528 —0.284
temp_aifs: 0.338
0.521
temp_ecmwf: 0.753
0.580
temp_aifs: 0.746
0.734
temp_aifs: 0.718
0.646
temp_aifs: 0.711
v2026-05-17_173626_phase2c
v2026-05-24_130333_phase2c
v2026-05-26_104346_phase2c
744 —0.736
temp_aifs: 0.927
0.707
temp_gfs: 0.994
0.850
temp_aifs: 1.137
1.021
temp_ecmwf: 1.252
1.633
temp_aifs: 1.749
v2026-05-17_173626_phase2c
v2026-05-24_130333_phase2c
744 —0.835
temp_ecmwf: 1.164
0.919
temp_ecmwf: 1.035
1.108
temp_ecmwf: 1.401
1.320
temp_ukmo: 1.773
1.604
temp_aifs: 1.876
v2026-04-28_232637_phase2c
v2026-05-17_173626_phase2c
1600 —0.349
temp_aifs: 0.429
0.367
temp_aifs: 0.477
0.465
temp_icon: 0.413
0.558
temp_icon: 0.575
0.741
temp_ecmwf: 0.767
v2026-04-28_232637_phase2c
v2026-05-17_173626_phase2c
2012 —0.550
temp_ukmo: 0.396
0.477
temp_icon: 0.660
0.744
temp_ecmwf: 0.767
0.796
temp_ecmwf: 0.891
0.769
temp_ecmwf: 0.795
v2026-04-28_232637_phase2c 2012 —0.433
temp_icon: 0.566
0.565
temp_ecmwf: 0.775
0.780
temp_aifs: 0.899
0.836
temp_aifs: 0.945
0.958
temp_ecmwf: 1.069
v2026-04-28_232637_phase2c 1694 —0.455
temp_aifs: 0.586
0.635
temp_ecmwf: 0.772
0.696
temp_aifs: 0.782
1.029
temp_aifs: 1.098
1.290
temp_aifs: 1.147
v2026-04-28_232637_phase2c 388 —0.509
temp_aifs: 0.598
0.597
temp_ecmwf: 0.689
0.615
temp_aifs: 0.703
0.908
temp_aifs: 0.764
0.630
temp_ecmwf: 0.778
v2026-04-28_232637_phase2c 173 —0.462
temp_aifs: 0.558
0.789
temp_aifs: 0.798
0.940
temp_ecmwf: 0.805
1.110
temp_aifs: 0.814
0.623
temp_ecmwf: 0.944
v2026-04-27_191724_phase2c
v2026-04-27_225213_phase2c
v2026-04-28_232637_phase2c
9 —0.800
temp_aifs: 0.556
0.823
temp_gem: 0.717
1.104
temp_gem: 0.000
——
v2026-04-23_132453_phase2c
v2026-04-27_181257_phase2c
v2026-04-27_191724_phase2c
9 —0.735
temp_mf: 0.000
1.616
temp_icon: 0.000
1.047
temp_ecmwf: 1.189
——
v2026-04-23_132453_phase2c 10 —0.834
temp_mf: 0.740
0.904
temp_gfs: 0.580
———
By actual NWP forecast lead (6h buckets)

Same data grouped by ValidTime − freshest contributing NWP cycle (6h buckets) instead of trained-lead label. Reveals MAE structure within a trained bucket once predict spread to hourly outputs (2026-05-04+). Buckets start at the trained lead — earlier figures measured from the cron-fire time, which made offset-day models look like sub-lead forecasts.

Run (UTC) -12--7h0-5h6-11h12-17h18-23h24-29h30-35h36-41h42-47h48-53h54-59h60-65h66-71h72-77h78-83h84-89h90-95h96-101h102-107h108-113h114-119h120-125h126-131h132-137h138-143h144-149h
———1.1311.0761.0930.6391.5281.1640.7580.6590.7980.4761.3260.7220.6340.9201.022———1.2571.7181.9341.430—
—————1.6541.5231.5561.0150.8280.7030.8140.4851.0331.1471.3130.7570.8560.9351.1131.1111.1561.6562.0901.206—
———1.4160.5691.3161.3381.4330.7280.6140.6850.7600.7170.9431.1281.3130.7570.8820.9351.1131.1111.1561.6562.0901.206—
———1.5721.5621.6751.6611.6281.0940.6910.6520.7290.4540.9821.2151.3150.8541.0201.2801.4231.0501.5761.6722.0481.296—
———1.4971.1131.5251.5911.9591.3570.6830.5390.5860.2981.0681.1711.5111.2030.9721.0520.7160.7941.5691.7771.7191.259—
———1.4850.3761.6560.5301.3840.8680.7180.7920.5910.3321.0351.1480.7780.5080.8830.7590.5620.8351.4131.6041.1710.714—
———1.6151.3951.8842.0751.7941.2800.9950.8820.9590.4801.7181.7501.5970.8241.8780.9051.2440.8701.6021.8151.5840.867—
———1.3981.8971.7681.7511.8531.4940.9180.8710.7990.7671.3701.4781.3680.7641.1921.2831.3630.7881.7621.9741.8291.010—
———2.1361.4182.1762.4742.4741.6661.2481.2751.3850.7762.1152.3222.0791.2502.0212.0532.1841.0972.7352.8072.5561.179—
———2.2331.5482.1592.6422.6251.5251.3661.6291.7480.8732.3102.7852.5421.4632.5202.7232.8721.4643.5633.7453.4311.177—
———2.2131.5561.9872.7662.4741.2171.3551.8801.8270.7202.2163.2382.4120.7532.8980.5131.7401.2122.4483.2652.9501.304—
———2.1912.5892.2162.2971.6251.2000.9780.7530.7640.7191.2311.4241.3980.8081.5011.4801.5911.4002.2822.8722.8421.723—
———1.6290.8761.6531.6181.5530.9650.7820.6400.5790.4281.1641.1141.2980.5661.2130.4421.0540.7781.7391.9251.9011.623—
———1.6290.8761.6531.6181.5530.9650.7820.6400.5790.4281.1641.1141.2980.5661.2130.4421.0540.7781.7391.9251.9011.623—
———1.3561.3381.3911.7851.7421.3740.7670.7450.8070.4601.3451.1251.0450.6610.9750.5791.0170.9161.6741.7691.8441.332—
———1.4471.8881.3372.0941.4481.2070.7180.6500.6430.7511.1591.3681.4061.0271.1171.3351.3191.1641.7131.9442.1951.616—
———1.2770.8981.1571.4731.4571.0590.7630.7960.9460.6541.3071.8692.0110.6391.6881.3701.1940.7281.6221.9891.8760.847—
———1.3270.3891.3960.5091.6131.0690.7080.8631.0391.0131.0361.3561.2990.6211.0291.1691.1380.6921.4531.5261.5020.622—
———1.7901.3361.7261.5051.5071.0370.6980.8861.0541.3220.9891.3961.4970.7021.1801.5241.6710.9742.0532.5702.9091.5713.125
———1.9611.5211.8521.2682.6431.3641.4201.5861.6510.9391.6372.3202.5001.0051.7592.1372.1631.0882.4113.0483.5141.6303.125
———1.7341.1481.6782.3052.6181.4001.5711.5551.7010.9271.8972.2963.0761.5642.7000.8562.0821.3992.1322.9033.1282.1503.125
———1.6351.3032.0681.6551.4301.0320.6720.7440.7360.9871.1171.1531.4430.9391.2021.4791.7341.0951.6522.1042.4740.910—
———1.0010.6050.8671.1561.0930.6410.2950.3100.2480.4830.6820.5290.6880.5140.5060.4460.8690.5611.2681.4041.3920.678—
———0.8480.4930.6330.4612.4981.2971.3041.5291.2590.6861.5381.5881.1600.8671.2051.0930.9290.5921.5011.6041.6450.948—
———2.8932.3372.8834.0484.4612.4592.4123.2822.9821.1213.2903.5612.7152.5682.8142.1643.0822.3023.2454.4014.5093.392—
———1.8231.8502.0341.2421.1710.9570.6701.0320.8380.7620.7860.8600.8250.4920.8170.8560.7960.6941.7812.3831.8781.543—
———0.7140.4670.7030.6150.4990.6460.6761.2921.1961.7080.5720.6511.3131.0840.9180.3760.7370.4410.8150.8470.8001.101—
———0.7880.3840.8810.4290.8570.5710.4800.4610.4460.4280.5880.7280.6440.4570.7390.7630.8500.4030.9870.9570.8021.468—
—————0.6070.5380.5960.6880.3840.4260.3460.2100.2880.5260.4220.4990.6420.8900.6010.4970.4710.4700.5141.091—
—————0.7240.3390.4320.3440.3950.5060.4970.4500.4350.5840.6060.4840.5800.7140.7800.6150.5020.5490.6540.792—
—————0.4910.4410.3910.3460.4280.4640.4010.5440.5060.7270.6940.7830.5470.9030.9161.0590.9490.4260.4080.562—
—————0.5300.4470.2970.2320.3200.2590.3260.7050.4170.4010.5000.3500.6670.4510.5480.4130.5110.4260.4080.562—
—————0.2840.5500.4920.4170.5570.4270.4630.3100.6450.3560.5240.3100.8130.4690.6520.3080.6990.5680.3800.433—
—————0.7310.7820.6560.8790.6830.7231.0221.1840.8520.7731.1760.3851.0780.3951.0890.7131.5951.9401.8370.688—
—0.7340.7171.0080.8540.8180.9100.8931.0990.4370.1760.9711.0101.3091.4541.2751.2961.0391.1691.5051.5841.7132.0801.1910.851—
—0.2410.2980.3760.3060.3240.3890.3680.3100.4040.5100.4710.4960.5510.4520.5280.5260.1330.0560.7120.6390.7720.9950.7610.698—
—0.2140.3961.1360.4270.3800.2670.3790.4630.5090.6680.7310.7190.7610.7970.7130.7710.8580.6820.6630.6950.7721.0380.8550.988—
—0.3100.3910.3840.4540.5000.4670.5380.5470.6140.7000.7850.6770.7940.8940.7850.7920.9040.9290.7480.8700.9051.0551.1551.291—
—0.4280.4330.4040.4550.4910.5230.6260.5700.6400.6360.6800.6070.8780.9740.9140.9201.1021.2811.0901.0671.3411.4831.5821.559—
—0.7110.4620.4910.5910.4600.4920.5030.6690.4260.5900.4810.6390.6310.6210.7240.894———0.630—————
—0.2010.1870.2570.6620.3110.3650.3860.732——2.2520.940———1.110———0.623—————
1.771——0.1090.800——0.2891.090———1.104—————————————
1.771——1.6160.735———0.851———1.047—————————————

Phase 2b · v2026-10-04_135408 Δ -0.004 vs prev train

Lean blender, 13 features. Trained 2026-10-04. Metric: Test MAE (°C).

Lead Blend Best single Δ vs best
+24h 0.721 temp_aifs (0.694) +3.9%
+48h 0.792 temp_aifs (0.744) +6.5%
+72h 0.922 temp_aifs (0.850) +8.5%
+96h 1.059 temp_aifs (0.957) +10.7%
+120h 1.285 temp_aifs (1.084) +18.5%
Verify history (44 runs)

Mon + Thu rolling MAE (°C). Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +24h+48h+72h+96h+120h
v2026-09-13_135108
v2026-09-27_140018
204 0.672
temp_icon: 0.575
0.683
temp_aifs: 0.660
1.023
temp_mf: 1.130
1.022
temp_mf: 0.457
1.175
temp_aifs: 0.686
v2026-09-13_135108 336 0.931
temp_aifs: 0.384
0.678
temp_aifs: 0.476
0.873
temp_aifs: 0.510
1.072
temp_aifs: 0.747
1.286
temp_aifs: 1.027
v2026-09-13_135108 336 0.718
temp_aifs: 0.514
0.620
temp_aifs: 0.475
0.843
temp_aifs: 0.525
1.094
temp_aifs: 0.794
1.286
temp_aifs: 1.027
v2026-08-30_135623
v2026-09-06_135725
672 0.868
temp_aifs: 0.504
0.633
temp_icon: 0.592
0.919
temp_icon: 0.684
1.084
temp_icon: 0.860
1.376
temp_icon: 0.934
v2026-08-23_134935
v2026-08-30_135623
672 1.059
temp_aifs: 0.556
0.703
temp_icon: 0.524
0.930
temp_aifs: 0.455
1.212
temp_mf: 0.419
1.335
temp_aifs: 0.867
v2026-08-23_134935
v2026-08-30_135623
672 1.146
temp_aifs: 0.752
0.646
temp_aifs: 0.627
0.827
temp_aifs: 0.704
0.996
temp_aifs: 0.722
1.209
temp_aifs: 0.817
v2026-08-09_140804
v2026-08-23_134935
704 1.197
temp_aifs: 0.711
0.821
temp_aifs: 0.656
1.325
temp_aifs: 0.785
1.892
temp_mf: 0.813
1.372
temp_aifs: 0.954
v2026-08-09_140804
v2026-08-23_134935
728 1.363
temp_icon: 0.342
0.834
temp_icon: 0.799
1.139
temp_aifs: 0.851
1.259
temp_icon: 0.959
1.524
temp_aifs: 1.165
v2026-08-09_140804 752 1.615
temp_ecmwf: 0.811
1.299
temp_mf: 0.924
1.871
temp_icon: 1.136
2.125
temp_mf: 1.128
2.385
temp_ecmwf: 1.662
v2026-08-09_140804 724 1.745
temp_ecmwf: 0.943
1.532
temp_ecmwf: 1.096
2.218
temp_aifs: 1.366
2.692
temp_mf: 1.522
3.279
temp_ecmwf: 2.271
v2026-08-02_135147
v2026-08-09_140804
576 1.807
temp_ecmwf: 1.109
1.680
temp_aifs: 1.163
2.548
temp_aifs: 1.103
2.773
temp_aifs: 1.006
2.411
temp_aifs: 1.466
v2026-08-02_135147
v2026-08-09_140804
576 1.439
temp_ecmwf: 0.685
1.050
temp_aifs: 0.947
1.220
temp_aifs: 1.026
1.589
temp_aifs: 1.292
2.232
temp_aifs: 1.338
v2026-07-26_135822
v2026-08-02_135147
624 1.240
temp_ecmwf: 0.709
0.821
temp_icon: 0.720
1.095
temp_icon: 0.753
1.192
temp_icon: 0.763
1.522
temp_aifs: 1.068
v2026-07-26_135822
v2026-08-02_135147
624 1.240
temp_ecmwf: 0.709
0.821
temp_icon: 0.720
1.095
temp_icon: 0.753
1.192
temp_icon: 0.763
1.522
temp_aifs: 1.068
v2026-07-19_135314
v2026-07-26_135822
624 0.936
temp_aifs: 0.566
0.785
temp_aifs: 0.654
1.197
temp_aifs: 0.715
1.169
temp_aifs: 0.623
1.464
temp_aifs: 0.921
v2026-07-19_135314
v2026-07-26_135822
624 0.854
temp_aifs: 0.404
0.820
temp_aifs: 0.719
1.114
temp_aifs: 0.882
1.231
temp_aifs: 0.902
1.571
temp_aifs: 0.818
v2026-07-12_135640
v2026-07-19_135314
624 1.073
temp_aifs: 0.703
1.019
temp_aifs: 0.800
1.423
temp_aifs: 1.229
1.751
temp_gfs: 1.408
1.577
temp_aifs: 0.926
v2026-07-12_135640
v2026-07-19_135314
624 1.296
temp_aifs: 0.992
0.879
temp_aifs: 0.841
1.083
temp_aifs: 0.812
1.240
temp_aifs: 0.788
1.332
temp_aifs: 0.838
v2026-07-05_135325
v2026-07-12_135640
624 1.042
temp_ecmwf: 0.745
0.763
temp_ecmwf: 0.890
0.910
temp_aifs: 0.782
1.320
temp_aifs: 0.885
1.969
temp_aifs: 1.419
v2026-07-05_135325
v2026-07-12_135640
624 1.285
temp_ecmwf: 0.631
1.561
temp_aifs: 1.089
2.021
temp_aifs: 1.217
1.977
temp_ecmwf: 1.396
2.343
temp_icon: 1.193
v2026-06-28_140834
v2026-07-05_135325
648 1.671
temp_aifs: 0.926
1.715
temp_aifs: 1.003
2.415
temp_aifs: 0.983
2.723
temp_aifs: 1.058
2.312
temp_aifs: 1.265
v2026-06-28_140834
v2026-07-05_135325
648 1.787
temp_aifs: 0.694
0.854
temp_ecmwf: 0.727
1.186
temp_aifs: 0.987
1.297
temp_aifs: 1.181
1.814
temp_aifs: 1.265
v2026-06-21_135711
v2026-06-28_140834
648 0.614
temp_ecmwf: 0.457
0.410
temp_ecmwf: 0.486
0.628
temp_ecmwf: 0.530
0.593
temp_ecmwf: 0.279
1.045
temp_aifs: 0.819
v2026-06-21_135711
v2026-06-28_140834
648 0.398
temp_ecmwf: 0.242
1.302
temp_aifs: 0.952
1.333
temp_ecmwf: 0.847
1.101
temp_ecmwf: 0.831
1.285
temp_aifs: 0.893
v2026-06-14_134518
v2026-06-21_135711
672 2.348
temp_aifs: 1.040
2.512
temp_aifs: 1.132
3.011
temp_icon: 1.335
2.603
temp_icon: 0.669
2.787
temp_gfs: 1.701
v2026-06-14_134518
v2026-06-21_135711
672 1.187
temp_gfs: 0.873
0.756
temp_ecmwf: 0.776
0.765
temp_ecmwf: 0.803
0.889
temp_ecmwf: 0.934
1.333
temp_aifs: 1.222
v2026-06-07_131530
v2026-06-14_134518
720 0.564
temp_ecmwf: 0.679
0.821
temp_ecmwf: 0.683
0.655
temp_ecmwf: 0.742
0.966
temp_ecmwf: 0.792
0.906
temp_ecmwf: 1.150
v2026-06-07_131530
v2026-06-14_134518
720 0.543
temp_aifs: 0.471
0.599
temp_aifs: 0.673
0.663
temp_aifs: 0.691
0.783
temp_ecmwf: 0.950
1.091
temp_ecmwf: 1.156
v2026-06-05_091025
v2026-06-07_131530
384 0.564
temp_icon: 0.524
0.443
temp_aifs: 0.468
0.466
temp_mf: 0.578
0.696
temp_aifs: 0.590
0.516
temp_aifs: 0.415
v2026-06-01_214702
v2026-06-05_091025
v2026-06-07_131530
336 0.694
temp_aifs: 0.558
0.442
temp_aifs: 0.472
0.545
temp_aifs: 0.547
0.592
temp_ecmwf: 0.817
0.540
temp_aifs: 0.767
v2026-06-01_214702
v2026-06-05_091025
336 0.354
temp_aifs: 0.522
0.384
temp_aifs: 0.502
0.527
temp_aifs: 0.725
0.640
temp_mf: 0.764
0.835
temp_gfs: 0.871
v2026-05-26_104311
v2026-06-01_214702
528 0.458
temp_aifs: 0.354
0.295
temp_aifs: 0.416
0.565
temp_aifs: 0.238
0.617
temp_aifs: 0.724
0.463
temp_aifs: 0.745
v2026-05-26_104311
v2026-05-31_201040
528 0.285
temp_aifs: 0.338
0.636
temp_ecmwf: 0.753
0.699
temp_aifs: 0.746
0.776
temp_aifs: 0.718
0.670
temp_aifs: 0.711
v2026-05-17_173452
v2026-05-24_130255
v2026-05-26_104311
744 1.041
temp_aifs: 0.927
0.668
temp_gfs: 0.994
1.139
temp_aifs: 1.137
0.869
temp_ecmwf: 1.252
1.829
temp_aifs: 1.749
v2026-05-17_173452
v2026-05-24_130255
744 1.309
temp_ecmwf: 1.164
1.477
temp_ecmwf: 1.035
1.351
temp_ecmwf: 1.401
1.655
temp_gfs: 1.812
1.851
temp_aifs: 1.876
v2026-04-28_232613
v2026-05-17_173452
1600 0.424
temp_aifs: 0.429
0.418
temp_aifs: 0.477
0.491
temp_icon: 0.413
0.682
temp_icon: 0.575
0.672
temp_ecmwf: 0.767
v2026-04-28_232613
v2026-05-17_173452
2012 0.452
temp_icon: 0.413
0.489
temp_icon: 0.660
0.725
temp_ecmwf: 0.767
0.783
temp_ecmwf: 0.891
0.731
temp_ecmwf: 0.795
v2026-04-28_232613 2012 0.511
temp_icon: 0.566
0.609
temp_ecmwf: 0.775
0.823
temp_aifs: 0.899
0.857
temp_aifs: 0.945
0.976
temp_ecmwf: 1.069
v2026-04-28_232613 1694 0.516
temp_aifs: 0.586
0.688
temp_ecmwf: 0.772
0.790
temp_aifs: 0.782
1.078
temp_aifs: 1.098
1.360
temp_aifs: 1.147
v2026-04-28_232613 388 0.561
temp_aifs: 0.598
0.637
temp_ecmwf: 0.689
0.619
temp_aifs: 0.703
0.897
temp_aifs: 0.764
0.495
temp_ecmwf: 0.778
v2026-04-28_232613 173 0.576
temp_aifs: 0.558
0.813
temp_aifs: 0.798
0.906
temp_ecmwf: 0.805
1.013
temp_aifs: 0.814
0.527
temp_ecmwf: 0.944
v2026-04-27_204454
v2026-04-28_232613
9 1.202
temp_aifs: 0.556
1.076
temp_gem: 0.629
0.606
temp_gem: 0.700
——
v2026-04-21_201231_phase2redo
v2026-04-27_174346
v2026-04-27_204454
13 0.182
temp_icon: 0.000
1.580
temp_icon: 0.000
0.962
temp_gem: 1.054
——
v2026-04-21_201231_phase2redo 14 0.959
temp_mf: 0.743
0.943
temp_ecmwf: 1.122
0.888
temp_gem: 0.375
——
By actual NWP forecast lead (6h buckets)

Same data grouped by ValidTime − freshest contributing NWP cycle (6h buckets) instead of trained-lead label. Reveals MAE structure within a trained bucket once predict spread to hourly outputs (2026-05-04+). Buckets start at the trained lead — earlier figures measured from the cron-fire time, which made offset-day models look like sub-lead forecasts.

Run (UTC) -12--7h-6--1h0-5h6-11h12-17h18-23h24-29h30-35h36-41h42-47h48-53h54-59h60-65h66-71h72-77h78-83h84-89h90-95h96-101h102-107h108-113h114-119h120-125h126-131h132-137h138-143h144-149h
——————0.6960.4090.8700.8350.7020.5990.7530.5271.2200.4830.5340.9291.0990.638——0.9861.3871.4211.244—
——————0.9650.9381.0190.4600.7190.6120.7480.2810.8500.9301.0410.5701.0281.0021.3761.4881.1671.5181.8301.356—
——————0.6990.7680.9050.4110.6160.6070.7130.5320.8140.9301.0410.5701.0631.0021.3761.4881.1671.5181.8301.356—
——————0.8391.1861.0710.6820.6500.6010.6570.3760.8551.0921.1950.7541.0161.2341.4311.0111.3541.3881.6721.112—
——————1.0461.0211.3510.8300.7500.5720.6570.3000.8901.0131.2680.8741.1961.3860.9270.9581.3231.4001.4470.950—
——————1.2360.1650.8320.3900.6500.7600.5600.2900.8510.9770.5670.3461.0400.9190.7661.0761.2631.2380.9730.608—
——————1.2631.1810.9700.5390.8480.7670.8380.3531.3541.3451.1750.5411.9731.0001.2240.7191.3721.5161.3500.734—
——————1.3960.9971.2931.0250.8650.8200.7380.5391.1501.1931.1580.6621.2601.3471.3330.6701.5131.6781.5890.860—
——————1.5411.8351.9201.1071.2841.3511.5280.7081.8692.1001.8630.9572.1462.2022.2251.1492.4472.4932.3000.968—
——————1.6822.0072.0101.0251.4591.7581.9240.8702.1752.6092.2791.1392.6642.9182.9301.5503.3563.4383.2121.036—
——————1.7612.1921.8670.7711.5682.0972.0541.0352.4893.3622.2130.2592.9740.5631.8501.1172.3102.9492.6461.349—
——————1.4751.0371.3280.9871.1250.8840.9280.7831.2231.2691.2440.9241.5951.5841.6341.3922.1332.5982.5761.780—
——————1.2971.1251.1680.7690.8640.7880.6900.3491.0931.0801.2360.8591.2540.5041.2730.7901.4671.6871.6341.552—
——————1.2971.1251.1680.7690.8640.7880.6900.3491.0931.0801.2360.8591.2540.5041.2730.7901.4671.6871.6341.552—
——————0.9041.0711.0570.6900.7420.9570.9420.5421.2451.0881.0940.6891.2180.6311.1190.8421.4301.5191.6821.298—
——————0.8001.4481.0770.6600.8740.7540.6840.4611.1021.1961.2350.6891.1781.3881.4151.1051.4761.7192.0731.599—
——————1.1211.0790.9870.2761.0780.9460.9590.2221.4131.5551.7480.2051.8141.0511.4170.7191.5541.8211.7140.646—
——————1.3640.5441.0910.7550.8370.9581.0630.8591.0781.2021.0990.6311.2281.3921.2960.6811.3581.3491.3920.576—
——————1.0810.9250.9820.9020.6830.8831.0951.1330.9041.1070.8630.1891.3221.3031.8751.0001.8502.2652.5471.4792.715
——————1.3370.7152.1551.0411.5551.6331.7021.0231.9202.4522.5240.8371.8962.3042.4121.0522.2182.7123.0741.4182.715
——————1.6191.8302.0920.9841.7791.4941.7871.1112.3922.5522.9890.9042.9010.7552.0191.2432.0862.7913.0501.9812.715
——————1.8341.2670.9650.6330.8020.8940.9631.1341.1711.1891.4880.7921.2311.4311.7220.9321.7162.1192.4910.797—
——————0.5640.7690.7890.5080.3890.4360.5280.4390.6310.5930.7130.4940.6020.4950.7880.5761.0371.1101.1100.756—
——————0.3930.4471.8190.7311.3171.4161.2590.7021.4341.3500.9310.5721.1661.0500.8560.6451.2961.2831.3340.929—
——————2.0803.1463.4971.2472.4003.0812.9491.0693.0793.2202.1941.7972.7411.4122.8822.0292.5253.4873.6092.502—
——————1.2520.6340.7400.4690.6910.8990.9400.8690.7520.7960.8020.7910.9080.9230.8080.5951.2731.6911.4160.821—
——————0.5250.6230.7100.7390.6991.1071.3101.0550.5380.8911.1461.5520.9970.4970.9270.5700.8740.9370.9331.253—
——————0.5460.4930.6560.5890.5950.5890.6500.5930.6290.7540.6970.7410.7350.8281.1070.5101.0991.0540.9481.563—
——————0.5850.4810.5520.5790.4640.4530.3350.2250.4420.6010.4510.4950.6780.8900.3970.5490.4370.5710.6462.227—
——————0.7150.4670.5320.4380.3880.6480.5240.3060.5260.7680.2720.4770.5320.7590.7790.6800.5520.5010.4560.634—
——————0.3320.4700.3150.2720.3830.3860.3380.4990.4960.6180.5880.7090.5251.0860.9851.2650.8350.4250.3520.393—
——————0.5000.3860.2960.1930.2990.2630.2330.4790.5650.4050.5210.2220.6880.4160.4940.3390.4860.4250.3520.393—
——————0.2850.5690.4960.3710.6910.4830.5850.2630.7740.4430.6910.2660.8680.4800.6410.3260.6870.7210.4520.556—
——————1.1120.9770.5900.8170.6560.5761.0641.2201.2040.8381.3270.4110.9170.3471.6830.8851.7402.2702.1250.949—
——2.1621.5911.4461.2441.2221.3361.2781.4340.7700.9651.2671.2901.5361.5741.5441.7301.3351.5611.6941.7852.0892.3891.4551.055—
——0.3860.4080.4170.3590.4250.4100.4650.4210.4330.4480.4570.5410.7110.5410.6040.5480.5600.2610.6290.5910.7780.8030.5840.713—
——0.2660.3321.0500.2040.0160.2260.4100.5090.5160.7030.7510.7030.7360.7160.6890.7540.8520.6490.6540.6680.8290.8760.6880.804—
——0.4760.5750.4990.5780.5330.5130.6080.6070.6570.7880.8750.7180.7650.8670.7740.7440.9460.9330.8320.8860.9331.0311.1581.134—
——0.6460.6420.5350.5300.4870.5750.7090.6210.6790.7250.7720.6750.8760.9780.8910.9431.2231.3621.2131.0761.3971.6801.7381.618—
——0.8510.6340.5430.6560.4850.5230.5490.6910.5020.5970.5250.6280.5360.6570.7030.883———0.495—————
——0.6600.4510.4510.7560.3760.4270.4730.766—0.6062.3540.906———1.013———0.527—————
0.9770.977—0.1820.3921.202—0.0570.5851.577—0.606—1.950—————————————
0.9770.977—0.1821.5800.228———0.993———0.962—————————————

Phase 2d · v2026-10-04_135637_phase2d Δ +0.002 vs prev train

Exact-runtime blender. Trains on raw S3 cycles (GFS + AIFS required, IFS oper + MO Global + UKV optional) instead of Open-Meteo offset_day, with rigorous (RunTime, ValidTime, Lead) provenance per row. UKV pulled per-V-hour from 03Z + 15Z cycles. Trained 2026-10-04. Metric: Test MAE (°C).

Lead Blend Best single Δ vs best
+12h 0.732 temp_ifs (1.290) -43.3%
+24h 0.769 temp_ifs (1.260) -39.0%
+48h 0.830 temp_gefsmean (1.435) -42.1%
+72h 0.770 temp_moglobal (1.268) -39.3%
+96h 0.924 temp_ifs (1.188) -22.2%
+120h 1.122 temp_ifs (1.350) -16.9%
Verify history (40 runs)

Mon + Thu rolling MAE (°C). Per-lead cells turn red when the rolling metric breaches the lead-specific drift threshold; check the verify report for the per-cell breakdown. Version column names the trained model — a fresh champion takes ~5-9d to show.

Run (UTC) Version N +12h+24h+48h+72h+96h+120h
v2026-05-09_084413_phase2d
v2026-09-27_140300_phase2d
62 0.447
—
0.572
—
0.568
—
0.984
—
1.685
—
0.933
—
v2026-05-09_084413_phase2d
v2026-09-13_135410_phase2d
81 0.565
—
0.528
—
0.498
—
0.742
—
0.824
—
0.971
—
v2026-05-09_084413_phase2d
v2026-09-13_135410_phase2d
147 0.504
—
0.443
—
0.421
—
0.646
—
0.830
—
0.934
—
v2026-05-09_084413_phase2d
v2026-09-06_140001_phase2d
179 0.328
—
0.381
—
0.604
—
0.691
—
0.863
—
1.170
—
v2026-05-09_084413_phase2d
v2026-08-30_135830_phase2d
180 0.541
—
0.571
—
0.808
—
0.504
—
0.630
—
0.997
—
v2026-05-09_084413_phase2d
v2026-08-30_135830_phase2d
172 0.438
—
0.487
—
0.602
—
0.635
—
0.759
—
0.888
—
v2026-05-09_084413_phase2d
v2026-08-23_135219_phase2d
162 0.536
—
0.738
—
0.845
—
0.724
—
0.880
—
0.987
—
v2026-05-09_084413_phase2d
v2026-08-23_135219_phase2d
166 0.390
—
0.573
—
0.854
—
0.789
—
0.956
—
1.242
—
v2026-05-09_084413_phase2d
v2026-08-09_141026_phase2d
226 0.947
—
0.941
—
1.241
—
1.875
—
2.199
—
2.412
—
v2026-05-09_084413_phase2d
v2026-08-09_141026_phase2d
228 1.287
—
1.208
—
1.396
—
2.309
—
2.542
—
2.839
—
v2026-05-09_084413_phase2d
v2026-08-09_141026_phase2d
159 1.707
—
1.561
—
1.496
—
1.887
—
1.883
—
2.176
—
v2026-05-09_084413_phase2d
v2026-08-09_141026_phase2d
155 1.419
—
1.180
—
0.820
—
1.255
—
1.229
—
1.554
—
v2026-05-09_084413_phase2d
v2026-08-02_135436_phase2d
163 0.862
—
0.787
—
0.974
—
0.963
—
0.962
—
1.236
—
v2026-05-09_084413_phase2d
v2026-08-02_135436_phase2d
176 0.862
—
0.787
—
0.974
—
0.952
—
0.921
—
1.157
—
v2026-05-09_084413_phase2d
v2026-07-26_140108_phase2d
163 0.493
—
0.524
—
0.795
—
1.189
—
1.317
—
1.343
—
v2026-05-09_084413_phase2d
v2026-07-26_140108_phase2d
163 0.479
—
0.301
—
0.366
—
1.171
—
1.230
—
1.381
—
v2026-05-09_084413_phase2d
v2026-07-19_135526_phase2d
163 0.530
—
0.509
—
0.642
—
1.478
—
1.567
—
1.750
—
v2026-05-09_084413_phase2d
v2026-07-19_135526_phase2d
163 0.451
—
0.432
—
0.277
—
1.600
—
1.833
—
1.899
—
v2026-05-09_084413_phase2d
v2026-07-12_135827_phase2d
163 1.004
—
0.974
—
0.957
—
2.441
—
2.602
—
2.686
—
v2026-05-09_084413_phase2d
v2026-07-12_135827_phase2d
167 1.257
—
1.130
—
0.690
—
2.842
—
2.981
—
3.133
—
v2026-05-09_084413_phase2d
v2026-07-05_135520_phase2d
167 1.706
—
1.700
—
2.058
—
1.951
—
2.102
—
2.297
—
v2026-05-09_084413_phase2d
v2026-07-05_135520_phase2d
165 1.281
—
1.618
—
2.167
—
1.093
—
1.083
—
1.239
—
v2026-05-09_084413_phase2d
v2026-06-28_141013_phase2d
167 0.371
—
0.314
—
0.382
—
1.001
—
1.060
—
1.201
—
v2026-05-09_084413_phase2d
v2026-06-28_141013_phase2d
177 0.427
—
0.428
—
0.515
—
2.046
—
2.180
—
2.568
—
v2026-05-09_084413_phase2d
v2026-06-21_135847_phase2d
173 1.917
—
2.005
—
2.771
—
2.183
—
2.366
—
2.537
—
v2026-05-09_084413_phase2d
v2026-06-21_135847_phase2d
171 0.853
—
0.794
—
1.152
—
1.048
—
1.093
—
0.988
—
v2026-05-09_084413_phase2d
v2026-06-14_134717_phase2d
179 0.494
—
0.551
—
0.527
—
0.615
—
0.981
—
0.915
—
v2026-05-09_084413_phase2d
v2026-06-14_134717_phase2d
185 0.445
—
0.654
—
0.498
—
0.452
—
0.829
—
0.805
—
v2026-05-09_084413_phase2d
v2026-06-07_131721_phase2d
186 0.394
—
0.383
—
0.425
—
0.524
—
0.600
—
0.584
—
v2026-05-09_084413_phase2d
v2026-06-07_131721_phase2d
194 0.368
—
0.334
—
0.333
—
0.542
—
0.601
—
0.646
—
v2026-05-09_084413_phase2d
v2026-05-31_201225_phase2d
v2026-06-07_131721_phase2d
235 0.219
—
0.330
—
0.331
—
0.531
—
0.621
—
0.795
—
v2026-05-09_084413_phase2d
v2026-05-31_201225_phase2d
212 0.346
—
0.322
—
0.306
—
0.550
—
0.588
—
0.836
—
v2026-05-09_084413_phase2d
v2026-05-31_201225_phase2d
197 0.459
—
0.383
—
0.297
—
1.033
—
1.108
—
1.379
—
v2026-05-09_084413_phase2d
v2026-05-26_104427_phase2d
128 1.292
—
1.058
—
0.891
—
1.666
—
1.802
—
1.999
—
v2026-05-09_084413_phase2d
v2026-05-24_130417_phase2d
v2026-05-26_104427_phase2d
83 1.990
—
1.898
—
2.192
—
1.966
—
1.783
—
1.743
—
v2026-05-09_084413_phase2d
v2026-05-17_173814_phase2d
24 0.366
—
0.582
—
0.453
—
0.431
—
0.288
—
0.299
—
v2026-05-08_060055_phase2d
v2026-05-09_083929_phase2d
v2026-05-09_084413_phase2d
v2026-05-17_173814_phase2d
110 0.650
—
0.632
—
0.482
—
0.493
—
0.655
—
0.671
—
v2026-05-08_055817_phase2d
v2026-05-08_060055_phase2d
91 0.334
—
0.464
—
0.432
—
0.689
—
0.866
—
0.675
—
v2026-05-08_055817_phase2d
v2026-05-08_060055_phase2d
45 0.227
—
0.205
—
0.460
—
0.564
—
——
v2026-05-05_182234_phase2d 12 0.376
—
0.697
—
————
By actual NWP forecast lead (6h buckets)

Same data grouped by ValidTime − freshest contributing NWP cycle (6h buckets) instead of trained-lead label. Reveals MAE structure within a trained bucket once predict spread to hourly outputs (2026-05-04+). Buckets start at the trained lead — earlier figures measured from the cron-fire time, which made offset-day models look like sub-lead forecasts.

Run (UTC) -48--43h-42--37h-36--31h-30--25h-24--19h-18--13h-12--7h-6--1h0-5h6-11h12-17h18-23h24-29h30-35h36-41h42-47h48-53h54-59h60-65h66-71h72-77h78-83h84-89h90-95h96-101h102-107h108-113h
1.1301.0521.8692.3041.7821.6062.0423.3141.9991.6561.9842.3662.2522.3792.6472.6161.9601.5221.9922.7521.9151.3751.8393.8361.7081.1611.862
0.1860.1260.2340.1950.2590.068—0.4350.5460.6770.531—0.3700.4140.534—0.3280.4180.490—0.3820.2690.261—0.2840.2200.368
———————0.8100.6060.7900.790—0.4340.5530.445—0.1420.2600.765—0.6400.7570.567—0.7660.6460.660
———————0.8100.3530.4380.479—0.3360.5020.400—0.6320.8120.598—1.2370.9890.661—0.7870.6320.697
————————0.2170.1220.301—0.4530.5170.398—0.8270.5080.514————————
————————0.5550.6000.607————————————————