Investigating the radar-rain gauge observation-scale gap through local multifractal singularity

Abstract. Rain gauges and weather radars observe rainfall at substantially different spatial supports, from near-point gauge measurements to kilometre-scale radar pixels. Given the strong spatial variability of rainfall, this observational-support mismatch contributes to radar-gauge differences independently of instrumental and retrieval errors. Here, we investigate this scale effect using local rainfall singularity, which describes how rainfall intensity changes with observational scale through a locally estimated power-law exponent. The approach is applied to radar and rain-gauge observations for 10 rainfall events over the United Kingdom. Locally identifiable scaling behaviour is found for a substantial proportion of the observations, with scaling over 1–16 km being more consistent than over larger spatial ranges. The retrieved singularities are then used to extrapolate radar rainfall towards a pragmatic finer support of 50 m. Accounting for local scale dependence substantially modifies radar rainfall estimates but does not systematically improve their agreement with gauges; instead, conventional verification scores generally deteriorate. These results show that observational-support mismatch is only one component of radar-gauge disagreement, alongside radar retrieval errors, gauge uncertainty, and unresolved rainfall variability. Local singularity therefore provides a scale-aware diagnostic for investigating radar-gauge differences, rather than a direct correction towards point-scale rainfall.

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Published
2026-10-26
DOI
https://doi.org/10.5194/egusphere-2026-5109
Primary Topic
Precipitation Measurement and Analysis
Type
preprint

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preprint

Investigating the radar-rain gauge observation-scale gap through local multifractal singularity

Auguste Gires, Li-Pen Wang
Precipitation Measurement and Analysis
preprint

Investigating the radar-rain gauge observation-scale gap through local multifractal singularity

Auguste Gires, Li-Pen Wang
preprint en

Abstract

Abstract. Rain gauges and weather radars observe rainfall at substantially different spatial supports, from near-point gauge measurements to kilometre-scale radar pixels. Given the strong spatial variability of rainfall, this observational-support mismatch contributes to radar-gauge differences independently of instrumental and retrieval errors. Here, we investigate this scale effect using local rainfall singularity, which describes how rainfall intensity changes with observational scale through a locally estimated power-law exponent. The approach is applied to radar and rain-gauge observations for 10 rainfall events over the United Kingdom. Locally identifiable scaling behaviour is found for a substantial proportion of the observations, with scaling over 1–16 km being more consistent than over larger spatial ranges. The retrieved singularities are then used to extrapolate radar rainfall towards a pragmatic finer support of 50 m. Accounting for local scale dependence substantially modifies radar rainfall estimates but does not systematically improve their agreement with gauges; instead, conventional verification scores generally deteriorate. These results show that observational-support mismatch is only one component of radar-gauge disagreement, alongside radar retrieval errors, gauge uncertainty, and unresolved rainfall variability. Local singularity therefore provides a scale-aware diagnostic for investigating radar-gauge differences, rather than a direct correction towards point-scale rainfall.

École nationale des ponts et chaussées (FR), National Taiwan University (TW), Imperial College London (GB)
Agence Nationale de la Recherche
Precipitation Measurement and Analysis
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Investigating the radar-rain gauge observation-scale gap through local multifractal singularity — Auguste Gires, Li-Pen Wang · (2026) | TGRS Research Map | TGRS