Multi-dataset precipitation comparison and validation

Knowledge graph centered on Multi-dataset precipitation comparison and validation with 73 nodes and 159 connections. Top connected: groundwater storage dynamics, leaf water content, Crested Butte, air temperature, precipitation.

Method synopsis

Systematic comparison of modeled precipitation against station observations and multiple gridded datasets using percent error calculations and spatial pattern analysis. Includes seasonal decomposition and elevation-dependent analysis.

Synthesized from method descriptions across 2 papers using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Riming-dependent snowfall rate and ice water content retrievals for W-band cloud radar (2025), Atmospheric Measurement Techniques. Implementations in other papers (listed below) may differ.

1. Validate relations at additional sites
   The derived relations were validated using data from Hyytiälä (Finland), Ny-Ålesund (Svalbard), and Eriswil (Switzerland). Joint vertically pointing 94 GHz radar and VISSS observations were used, with gauge measurements providing independent SR validation. Performance was evaluated using normalized root mean square error (NRMSE) as a function of IWC and SR.
   Quantities: 3 additional validation sites, NRMSE calculationsDuration: Various time periods: HYY 2021/22, NYA from 2021 onward, Eriswil winter 2023/24Conditions: Mid- and high-latitude sites with joint radar and VISSS data
   Equipment: 94 GHz radars, VISSS sensors, precipitation gauges

Typical Equipment

• SNOTEL precipitation observations
• PRISM dataset
• Livneh dataset
• Newman dataset
• xESMF Python package

Output Measurements

• percent errors
• spatial differences
• seasonal biases

Papers Using This Protocol (2)

Places Where Used