WRF Model Precipitation Sensitivity Experiments for Peru Highlands and Lowlands

2008 and 2012 data from WRF model experiments assessing precipitation sensitivity in Peru. The dataset includes postprocessed monthly means and hourly values for variables like precipitation, temperature, and soil moisture, along with validation station data. It was created by Santos J. González‐Rojí of the University of Bern to accompany a paper submitted to Geoscientific Model Development.

Use Cases

• Validate regional climate model precipitation outputs based on station data provided.
• Analyze sensitivity of simulated precipitation to different physics parameterizations based on the five experiment types.
• Study spatial patterns of cloud fraction, soil moisture, and temperature in Peru based on the provided model variables.

Strengths

• Includes data for two distinct years (2008 and 2012) for temporal comparison.
• Provides five distinct model experiment configurations (e.g., Europe, SouthAmerica, Kenya) for sensitivity analysis.
• Comes with accompanying processing scripts and namelist files for reproducibility.

Limitations

• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred from the description or paper.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Bern

Collection Method

Output from Weather Research and Forecasting (WRF) model version 3.8.1 simulations.

Time Range

2008, 2012

Geography

Peru, specifically the highlands and lowlands