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CastCheck methodology v0.2 · data through 2026-08-30

New York Central Park · Pangu-Weather (GFS init) · lead day 0

KNYC · pangu_gfs · 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, PANG_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.

VariableInitMethod Windown MAE °F MAE debiased Bias °F RMSE °F ±1 °F±2 °F±3 °F Skill Skill, debiased Period
tmax00Zbilinear30d2 1 QC3.81 [2.87, 4.74]0.93+3.81 [2.87, 4.74]3.92 [2.87, 4.74]0% [0%, 0%]0%50%——2026-08-29 → 2026-08-30
tmax00Zbilinear90d2 1 QC3.81 [2.87, 4.74]0.93+3.81 [2.87, 4.74]3.92 [2.87, 4.74]0% [0%, 0%]0%50%——2026-08-29 → 2026-08-30
tmax00Zbilinear365d2 1 QC3.81 [2.87, 4.74]0.93+3.81 [2.87, 4.74]3.92 [2.87, 4.74]0% [0%, 0%]0%50%——2026-08-29 → 2026-08-30
tmax00Zbilinearall2 1 QC3.81 [2.87, 4.74]0.93+3.81 [2.87, 4.74]3.92 [2.87, 4.74]0% [0%, 0%]0%50%——2026-08-29 → 2026-08-30
tmax00Znearest30d2 1 QC4.00 [3.04, 4.96]0.96+4.00 [3.04, 4.96]4.11 [3.04, 4.96]0% [0%, 0%]0%0%——2026-08-29 → 2026-08-30
tmax00Znearest90d2 1 QC4.00 [3.04, 4.96]0.96+4.00 [3.04, 4.96]4.11 [3.04, 4.96]0% [0%, 0%]0%0%——2026-08-29 → 2026-08-30
tmax00Znearest365d2 1 QC4.00 [3.04, 4.96]0.96+4.00 [3.04, 4.96]4.11 [3.04, 4.96]0% [0%, 0%]0%0%——2026-08-29 → 2026-08-30
tmax00Znearestall2 1 QC4.00 [3.04, 4.96]0.96+4.00 [3.04, 4.96]4.11 [3.04, 4.96]0% [0%, 0%]0%0%——2026-08-29 → 2026-08-30
tmin00Zbilinear30d2 1 QC2.04 [1.96, 2.12]2.04+0.08 [-1.96, 2.12]2.04 [1.96, 2.12]0% [0%, 0%]50%100%——2026-08-29 → 2026-08-30
tmin00Zbilinear90d2 1 QC2.04 [1.96, 2.12]2.04+0.08 [-1.96, 2.12]2.04 [1.96, 2.12]0% [0%, 0%]50%100%——2026-08-29 → 2026-08-30
tmin00Zbilinear365d2 1 QC2.04 [1.96, 2.12]2.04+0.08 [-1.96, 2.12]2.04 [1.96, 2.12]0% [0%, 0%]50%100%——2026-08-29 → 2026-08-30
tmin00Zbilinearall2 1 QC2.04 [1.96, 2.12]2.04+0.08 [-1.96, 2.12]2.04 [1.96, 2.12]0% [0%, 0%]50%100%——2026-08-29 → 2026-08-30
tmin00Znearest30d2 1 QC1.88 [1.40, 2.35]1.88+0.47 [-1.40, 2.35]1.94 [1.40, 2.35]0% [0%, 0%]50%100%——2026-08-29 → 2026-08-30
tmin00Znearest90d2 1 QC1.88 [1.40, 2.35]1.88+0.47 [-1.40, 2.35]1.94 [1.40, 2.35]0% [0%, 0%]50%100%——2026-08-29 → 2026-08-30
tmin00Znearest365d2 1 QC1.88 [1.40, 2.35]1.88+0.47 [-1.40, 2.35]1.94 [1.40, 2.35]0% [0%, 0%]50%100%——2026-08-29 → 2026-08-30
tmin00Znearestall2 1 QC1.88 [1.40, 2.35]1.88+0.47 [-1.40, 2.35]1.94 [1.40, 2.35]0% [0%, 0%]50%100%——2026-08-29 → 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

Daily forecast minus observed error in °F for Pangu-Weather (GFS init) at KNYC, lead day 0, 00Z bilinear tmax+5+2.50-2.5-52026-08-29: +2.87 °F2026-08-30: +4.74 °F2026-08-292026-08-30°F, forecast − observed
Forecast − observed, °F, 00Z bilinear daily maximum. The dashed line is zero; the thick line is a centred 7-day mean, drawn only where the whole window is present. Gaps are days with no score, never interpolation. Hover a point for its date and value.
The same series as a table (2 days, newest first) · download CSV
Climatological dayError °F
2026-08-30+4.74
2026-08-29+2.87

Error distribution

Distribution of the signed daily error in °F for Pangu-Weather (GFS init) at KNYC, lead day 0-5 to -4.5 °F: 0 days-4.5 to -4 °F: 0 days-4 to -3.5 °F: 0 days-3.5 to -3 °F: 0 days-3 to -2.5 °F: 0 days-2.5 to -2 °F: 0 days-2 to -1.5 °F: 0 days-1.5 to -1 °F: 0 days-1 to -0.5 °F: 0 days-0.5 to 0 °F: 0 days0 to 0.5 °F: 0 days0.5 to 1 °F: 0 days1 to 1.5 °F: 0 days1.5 to 2 °F: 0 days2 to 2.5 °F: 0 days2.5 to 3 °F: 1 day3 to 3.5 °F: 0 days3.5 to 4 °F: 0 days4 to 4.5 °F: 0 days4.5 to 5 °F: 1 daydashed: P50 |e| 3.81 · P90 |e| 4.55 °F-50+5 °Fn = 2 days
All scored days for 00Z bilinear daily maximum, 20 equal bins. The dashed marks are the 50th and 90th percentiles of the absolute error, mirrored on both sides. Hover a bar for its bin and count.
Bin counts as a table
From °FTo °FDays
-5.00-4.500
-4.50-4.000
-4.00-3.500
-3.50-3.000
-3.00-2.500
-2.50-2.000
-2.00-1.500
-1.50-1.000
-1.00-0.500
-0.50+0.000
+0.00+0.500
+0.50+1.000
+1.00+1.500
+1.50+2.000
+2.00+2.500
+2.50+3.001
+3.00+3.500
+3.50+4.000
+4.00+4.500
+4.50+5.001

Month by month

00Z bilinear daily maximum, newest first.

Monthn MAE °FBias °F
2026-0823.81 +3.81

Availability

ModelScored period DaysCoverage
Pangu-Weather (GFS init)2026-08-29 → 2026-08-30 2
Pangu-Weather (GFS init)2026-08-29 → 2026-08-30 2

Compared with other models

Paired bootstrap on the days both models cover (90d, 00Z, bilinear, daily maximum). Negative means Pangu-Weather (GFS init) has the lower MAE. "Distinguishable" means the 95 % interval excludes zero.

Other modelCommon days MAE difference °FDistinguishable
ECMWF AIFS Single 2 +2.05 [1.93, 2.17] yes
Aurora (GFS init) 2 +2.86 [2.43, 3.29] yes
Aurora (IFS init) 2 +2.76 [1.97, 3.56] yes
FourCastNet v2 (GFS init) 2 +2.12 [0.65, 3.59] yes
FourCastNet v2 (IFS init) 2 +2.58 [1.16, 4.00] yes
NCEP GFS 2 -1.86 [-2.34, -1.38] yes
GraphCast (GFS init) 2 +2.84 [2.09, 3.58] yes
GraphCast (IFS init) 2 +2.53 [2.25, 2.82] yes
ECMWF IFS HRES 2 +0.31 [-1.34, 1.95] no
Pangu-Weather (IFS init) 2 -0.14 [-0.36, 0.08] no

Cite this page

ShortCastCheck, KNYC pangu_gfs lead 0, methodology v0.2, accessed 2026-08-31, https://castcheck.zifanzhang.com/station/KNYC/model/pangu_gfs/lead/0/

LongCastCheck (2026). Station-level verification of raw weather-model 2 m temperature forecasts: KNYC (New York Central Park), model pangu_gfs, 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/pangu_gfs/lead/0/

Accessed2026-08-31 (data through 2026-08-30; page built 2026-08-31T03:52:06+00:00)

JSON CSV all scores methodology v0.2 licence