New York Central Park · Aurora (IFS init) · lead day 0
KNYC · aurora_ifs · lead 0
Target day = initialization date + 0 days. This page is a permanent link: the numbers change as history accumulates, the address and the methodology version do not.
Scores use the latest model version segment, AURO_v100, starting 2026-08-28 — days before that ran a different version of the model and are excluded rather than silently pooled. Of the scored days, 1 carry a QC flag on the observation.
JSON for this page CSV of the daily errors Cite this page
Every number for this combination
All four windows × both initializations × both interpolations × both variables. Errors are computed in °C and shown in °F; CI is a 95 % moving-block bootstrap interval. MAE debiased and skill, debiased remove the constant offset of the window first, so a station that the model always reads a degree too warm is not scored as if it had no skill — compare the two skill columns to see how much of the error is a fixed offset. n QC next to n counts days whose observation carries a QC flag.
| Variable | Init | Method | Window | n | MAE °F | MAE debiased | Bias °F | RMSE °F | ±1 °F | ±2 °F | ±3 °F | Skill | Skill, debiased | Period |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tmax | 00Z | bilinear | 30d | 3 1 QC | 2.18 [1.04, 4.45] | 2.04 | -1.39 [-4.45, 1.18] | 2.71 [1.05, 4.45] | 33% [0%, 50%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmax | 00Z | bilinear | 90d | 3 1 QC | 2.18 [1.04, 4.45] | 2.04 | -1.39 [-4.45, 1.18] | 2.71 [1.05, 4.45] | 33% [0%, 50%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmax | 00Z | bilinear | 365d | 3 1 QC | 2.18 [1.04, 4.45] | 2.04 | -1.39 [-4.45, 1.18] | 2.71 [1.05, 4.45] | 33% [0%, 50%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmax | 00Z | bilinear | all | 3 1 QC | 2.18 [1.04, 4.45] | 2.04 | -1.39 [-4.45, 1.18] | 2.71 [1.05, 4.45] | 33% [0%, 50%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmax | 00Z | nearest | 30d | 3 1 QC | 2.17 [1.11, 4.28] | 2.05 | -1.20 [-4.28, 1.45] | 2.65 [1.16, 4.28] | 33% [0%, 50%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmax | 00Z | nearest | 90d | 3 1 QC | 2.17 [1.11, 4.28] | 2.05 | -1.20 [-4.28, 1.45] | 2.65 [1.16, 4.28] | 33% [0%, 50%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmax | 00Z | nearest | 365d | 3 1 QC | 2.17 [1.11, 4.28] | 2.05 | -1.20 [-4.28, 1.45] | 2.65 [1.16, 4.28] | 33% [0%, 50%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmax | 00Z | nearest | all | 3 1 QC | 2.17 [1.11, 4.28] | 2.05 | -1.20 [-4.28, 1.45] | 2.65 [1.16, 4.28] | 33% [0%, 50%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmin | 00Z | bilinear | 30d | 3 1 QC | 1.23 [0.27, 2.89] | 1.23 | +1.05 [-0.27, 2.89] | 1.71 [0.27, 2.89] | 67% [0%, 100%] | 67% | 100% | — | — | 2026-08-28 → 2026-08-30 |
| tmin | 00Z | bilinear | 90d | 3 1 QC | 1.23 [0.27, 2.89] | 1.23 | +1.05 [-0.27, 2.89] | 1.71 [0.27, 2.89] | 67% [0%, 100%] | 67% | 100% | — | — | 2026-08-28 → 2026-08-30 |
| tmin | 00Z | bilinear | 365d | 3 1 QC | 1.23 [0.27, 2.89] | 1.23 | +1.05 [-0.27, 2.89] | 1.71 [0.27, 2.89] | 67% [0%, 100%] | 67% | 100% | — | — | 2026-08-28 → 2026-08-30 |
| tmin | 00Z | bilinear | all | 3 1 QC | 1.23 [0.27, 2.89] | 1.23 | +1.05 [-0.27, 2.89] | 1.71 [0.27, 2.89] | 67% [0%, 100%] | 67% | 100% | — | — | 2026-08-28 → 2026-08-30 |
| tmin | 00Z | nearest | 30d | 3 1 QC | 1.30 [0.08, 3.05] | 1.20 | +1.25 [-0.08, 3.05] | 1.82 [0.08, 3.05] | 67% [0%, 100%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmin | 00Z | nearest | 90d | 3 1 QC | 1.30 [0.08, 3.05] | 1.20 | +1.25 [-0.08, 3.05] | 1.82 [0.08, 3.05] | 67% [0%, 100%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmin | 00Z | nearest | 365d | 3 1 QC | 1.30 [0.08, 3.05] | 1.20 | +1.25 [-0.08, 3.05] | 1.82 [0.08, 3.05] | 67% [0%, 100%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
| tmin | 00Z | nearest | all | 3 1 QC | 1.30 [0.08, 3.05] | 1.20 | +1.25 [-0.08, 3.05] | 1.82 [0.08, 3.05] | 67% [0%, 100%] | 67% | 67% | — | — | 2026-08-28 → 2026-08-30 |
+ model too warm · − model too cold · bias interval includes zero · ★ lowest MAE · = not distinguishable from the leader · ▼ significantly worse · n < 30 greyed and unranked · CI is a 95 % moving-block bootstrap interval.
Daily error, last 90 days
The same series as a table (3 days, newest first) · download CSV
| Climatological day | Error °F |
|---|---|
| 2026-08-30 | +1.18 |
| 2026-08-29 | -0.91 |
| 2026-08-28 | -4.45 |
Error distribution
Bin counts as a table
| From °F | To °F | Days |
|---|---|---|
| -5.00 | -4.50 | 0 |
| -4.50 | -4.00 | 1 |
| -4.00 | -3.50 | 0 |
| -3.50 | -3.00 | 0 |
| -3.00 | -2.50 | 0 |
| -2.50 | -2.00 | 0 |
| -2.00 | -1.50 | 0 |
| -1.50 | -1.00 | 0 |
| -1.00 | -0.50 | 1 |
| -0.50 | +0.00 | 0 |
| +0.00 | +0.50 | 0 |
| +0.50 | +1.00 | 0 |
| +1.00 | +1.50 | 1 |
| +1.50 | +2.00 | 0 |
| +2.00 | +2.50 | 0 |
| +2.50 | +3.00 | 0 |
| +3.00 | +3.50 | 0 |
| +3.50 | +4.00 | 0 |
| +4.00 | +4.50 | 0 |
| +4.50 | +5.00 | 0 |
Month by month
00Z bilinear daily maximum, newest first.
| Month | n | MAE °F | Bias °F |
|---|---|---|---|
| 2026-08 | 3 | 2.18 | -1.39 |
Availability
| Model | Scored period | Days | Coverage |
|---|---|---|---|
| Aurora (IFS init) | 2026-08-28 → 2026-08-30 | 3 | |
| Aurora (IFS init) | 2026-08-28 → 2026-08-30 | 3 |
Compared with other models
Paired bootstrap on the days both models cover (90d, 00Z, bilinear, daily maximum). Negative means Aurora (IFS init) has the lower MAE. "Distinguishable" means the 95 % interval excludes zero.
| Other model | Common days | MAE difference °F | Distinguishable |
|---|---|---|---|
| ECMWF AIFS Single | 3 | -0.24 [-1.63, 0.69] | no |
| Aurora (GFS init) | 2 | +0.09 [-0.28, 0.46] | no |
| FourCastNet v2 (GFS init) | 2 | -0.65 [-1.32, 0.02] | no |
| FourCastNet v2 (IFS init) | 3 | -0.72 [-1.77, 0.43] | no |
| NCEP GFS | 3 | -2.80 [-4.95, 0.85] | no |
| GraphCast (GFS init) | 2 | +0.07 [0.02, 0.12] | yes |
| GraphCast (IFS init) | 3 | +0.13 [-0.75, 0.85] | no |
| ECMWF IFS HRES | 3 | -1.41 [-4.90, 0.69] | no |
| Pangu-Weather (GFS init) | 2 | -2.76 [-3.56, -1.97] | yes |
| Pangu-Weather (IFS init) | 3 | -1.02 [-3.92, 2.74] | no |
Cite this page
ShortCastCheck, KNYC aurora_ifs lead 0, methodology v0.2, accessed 2026-08-31, https://castcheck.zifanzhang.com/station/KNYC/model/aurora_ifs/lead/0/
LongCastCheck (2026). Station-level verification of raw weather-model 2 m temperature forecasts: KNYC (New York Central Park), model aurora_ifs, lead day 0. Methodology version 0.2, schema version 0.1, data through 2026-08-30. Accessed 2026-08-31. https://castcheck.zifanzhang.com/station/KNYC/model/aurora_ifs/lead/0/
Accessed2026-08-31 (data through 2026-08-30; page built 2026-08-31T03:52:06+00:00)