PISCOp v3.0: High-Resolution Daily and Monthly Rainfall Grids for Peru

Peru is covered by a high-resolution gridded rainfall dataset. The PISCOp version 3.0 framework applies quality control, gap filling, and spatial interpolation using predictors like radar-gauge merged precipitation climatologies. It was developed by Leonardo Gutierrez and last updated on 2026-05-27.

Use Cases

• Modeling hydrological systems based on high-resolution daily rainfall estimates.
• Analyzing long-term precipitation trends based on monthly gridded data.
• Validating climate models based on spatially interpolated rainfall fields.
• Assessing water resource availability based on gap-filled gauge data.

Strengths

• Dataset size is 1.5 GB, indicating substantial spatial or temporal detail.
• Framework includes multiple processing steps: quality control, gap filling, spatial interpolation, and monthly correction.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Leonardo Gutierrez

Collection Method

Spatial interpolation of daily and monthly rainfall using spatial predictors based on precipitation climatologies.

Freshness

Last updated 2026-05-27 00:24:48; freshness should be verified.

Geography

Peru