↖ CPA Weather Lab
PEMN Observed vs PRISM · 4-Way Comparison
30 PEMN stations · 2023-01-01 to 2025-10-31 · 15,319 QC-passed station-days
OBS (1-min agg) 800m Interp ON 800m Interp OFF 4km Interp ON 4km Interp OFF
Best PRISM for Tmin
800m OFF
MAE 2.762°F · bias +0.71°F
Best PRISM for Tmax
800m ON
MAE 5.050°F · bias +0.32°F
800m vs 4km Improvement
+5.5%
Tmin MAE: 2.77 vs 2.93°F
Sensor QC Flags
3 stns
163 bad obs removed (1.1%)
Network-Wide · OBS vs All 4 PRISM Combos (Clean Data · 15,319 station-days)
Variable PRISM Combo Bias (°F/in) MAE RMSE r MAE Bar Notes
Seasonal Breakdown · OBS vs 800m-ON · Tmin / Tmean / Tmax / Ppt
❄ Winter
Tmin bias+1.43°F
Tmin MAE3.72
Tmean MAE3.50
Tmax MAE4.85
Ppt r0.560
N3,283
🌱 Spring
Tmin bias+1.01°F
Tmin MAE3.00
Tmean MAE3.99
Tmax MAE7.00
Ppt r0.646
N3,719
☀ Summer
Tmin bias+0.12°F
Tmin MAE1.51
Tmean MAE2.28
Tmax MAE3.96
Ppt r0.429
N4,077
🍂 Fall
Tmin bias+0.48°F
Tmin MAE3.06
Tmean MAE2.88
Tmax MAE4.54
Ppt r0.565
N4,240
Spring tmax MAE of 7.0°F is the largest seasonal error — reflects PEMN sensor exposure to direct solar radiation before full leaf-out; PRISM's grid-based daily temperature is less sensitive to local site microclimate. Summer is cleanest: MAE 1.5°F tmin, good mixing reduces spatial gradients.
Which Combo Wins per Variable?
Variable Best Combo MAE 2nd Best MAE Spread
Tmin 800m OFF 2.762 800m ON 2.771 0.009
Tmean 4km OFF 3.114 800m OFF 3.119 0.005
Tmax 800m ON 5.050 800m OFF 5.052 0.002
Tdmean 800m ON 3.410 800m OFF 3.412 0.002
Ppt 4km ON 0.1109 800m ON 0.1109 0.0000
Key insight: The spread between best and worst combo is tiny — max 0.17°F for Tmin. Resolution (800m vs 4km) matters more than interpolation toggle. 800m wins or ties for Tmax and Tdmean. For Tmin, 800m OFF barely edges 800m ON (0.009°F) — essentially identical. Precipitation MAE is the same across all four combos (0.111 in) — PRISM's precip surface is resolution-independent at PEMN scales.
Per-Station · OBS vs 800m-ON · Clean Data · Sorted by Tmax MAE ↓
Station N days Tmin bias Tmin MAE Tmean bias Tmean MAE Tmax bias Tmax MAE Ppt bias Ppt MAE QC flag
Tmax: All 4 PRISM Combos vs OBS · Per Station (bias | MAE °F)
Station N 800m ON bias / MAE 800m OFF bias / MAE 4km ON bias / MAE 4km OFF bias / MAE Best
🚨

SLVN01 (Sullivan Co): 135 obs removed by QC. Remaining 686 days still show tmin bias −4.85°F vs PRISM and RMSE 19.96°F — the largest error in the network even after cleaning. Tmin values reaching −110°F suggest a systematic sensor failure during cold/low-light conditions (likely thermistor or ADC issue at low voltages). PRISM shows −9°F as its minimum; observed minimum hit −110°F. This station's tmin should be flagged as UNRELIABLE until hardware inspection. Tmax and ppt appear more reasonable.

⚠

CLNT01 (Clinton Co): tmin RMSE 10.57°F vs 800m-ON — second-worst in network. 15 bad obs removed. High variance relative to PRISM suggests either (a) valley cold-pool microclimate that PRISM cannot resolve at 800m, (b) sensor siting in a frost pocket, or (c) intermittent sensor noise. Bias is near-zero (+0.55°F tmax) so it is not a systematic offset — it is genuine variance. This is actually a scientifically interesting station if the high values are real cold-pool events.

⚠

Spring Tmax MAE = 7.0°F (network-wide): The largest seasonal error across all stations and combos. Likely driven by PEMN sensors receiving direct solar radiation heating before full canopy closure (March–May), causing inflated observed tmax relative to PRISM's radiatively shielded ASOS-anchored surface. PRISM is correct; PEMN stations may need radiation shielding audit for spring period. Consider applying a spring-specific correction to PEMN tmax in this period before using as training data.

Recommended PRISM Combo by Use Case
Use CaseRecommended ComboReason
RFSI training feature (all temperature vars)800m ONMarginally best for tmax/tdmean. Uses PRISM's full DEM-aware bilinear blend — physically appropriate for point-location training
Tmin specifically800m OFFVery slight edge (0.009°F MAE) — negligible in practice. Either 800m combo is fine
Precipitation (all uses)800m ON or anyAll 4 combos produce identical results. PRISM's precip surface is smooth enough that resolution and interpolation make no measurable difference
Bias characterization / delta field800m ON minus 4km ONResolution delta is the signal — shows lapse-rate impact of DEM cell mismatch per station. Use as metadata covariate in RF
Grid-level prior (background field)4km ON4km aligns with ERA5 downscaling resolution; marginally better tmean. Use as background, 800m as correction surface
Station-to-grid cell audit800m OFF"Which exact PRISM cell is this station in?" — OFF gives raw cell value, no blending ambiguity
← CPA Weather Lab · Learn