JHM manuscript · in preparation
Songkun Yan · Xiaodong Chen
University of Oklahoma
IMERG V07 vs GV-MRMS · 5°×5° southeastern U.S. · 2022–2023
The problem
Two new factors are exactly what a spatial field adds: the extent of rain when it occurs, and whether intense frames are also the extensive ones.
The decomposition
Taking logs turns the product into an additive budget: the total difference is apportioned exactly among four interpretable causes, so compensation is displayed, not inferred.
Data & sampling
Without this, a product's raining area would include places the reference never had a chance to observe.
How it works · 1
How it works · 2
Main result
Main result · the numbers
| Field | Df | DIw | DAw | DKw | = DV | total vs MRMS |
|---|---|---|---|---|---|---|
| IMERG IR | +0.113 | −0.385 | +0.237 | +0.024 | −0.012 | −1% |
| IMERG Uncal | +0.155 | −0.363 | −0.001 | +0.158 | −0.052 | −5% |
| IMERG Cal | +0.166 | −0.317 | +0.009 | +0.142 | +0.000 | +0.03% |
MRMS reference: fw = 0.61, Iw = 1.74 mm hr⁻¹, Aw = 26.4×10³ km² (≈10% of the domain), Kw = 1.46 (ρw = 0.44).
Algorithm stages
Why this matters for development. A total-volume score would rate Cal as "fixed." The budget shows the calibration acted on one factor only — the other three differences are still there, and they happen to cancel in this domain and period.
These are contrasts between diagnostic fields of one system, not controlled single-factor experiments.
Time variability
Seasons
The two-year wet-frame area neutrality of Uncal/Cal is a seasonal sign reversal — broader in warm, narrower in cool. A single aggregate number would have reported "no area difference."
Robustness
Also checked: block length (1/2/5 d), coverage threshold, symmetric vs one-sided masking, co-wet frames only.
Summary
Status & next steps
Manuscript status
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