Bayesian precipitation inference from streamflow

Local Knowledge Graph (34 entities)

Knowledge graph centered on Bayesian precipitation inference from streamflow with 34 nodes and 115 connections. Top connected: snowpack persistence, groundwater storage dynamics, leaf water content, evapotranspiration, precipitation.

Description

Bayesian inference method combining temperature index snow accumulation modeling with bucket hydrology to estimate basin mean precipitation from streamflow observations and snow remote sensing data. Uses MCMC sampling to quantify parameter uncertainty.

Typical Equipment

• SNOW-17 snow model
• FUSE hydrologic model framework
• Airborne Snow Observatory lidar
• PyMC3 library

Output Measurements

• posterior precipitation estimates
• parameter uncertainty
• model skill metrics

Papers Using This Protocol (1)

Places Where Used