Description
Anomalies can help identify variability more meaningfully than absolute values. High or low absolute values in one location may be ‘normal’ for that location while they may be catastrophic in another. The Extreme Precipitation - Anomaly dataset provides more meaningful local comparisons by capturing where extreme precipitation is unusual for a specific location.
Technical Description
The Extreme Precipitation Anomaly Monthly Summary (Global, v1.0) dataset provides a global summary of
exposure to anomalous extreme precipitation, derived from ERA5-Land Daily Aggregated and Timely reanalysis
data. For each month, daily total precipitation is evaluated against both a 0.01 m (10 mm) threshold and the 95th
percentile baseline (1992–2021). The dataset quantifies the frequency of days in which both conditions are exceeded,
indicating anomalously extreme precipitation events. The resulting summaries are expressed as the proportion of
days in the month meeting this criterion. Outputs have an 11 km spatial resolution and are published with a temporal
granularity of one month. This product is intended to support risk assessments, climate adaptation planning, and
monitoring of exposure to anomalous precipitation hazards.