PRMS-Python: A Python framework for programmatic PRMS modeling and access to its data structures

A persistent problem in numerical hydrologic modeling, is tracking provenance or how particular data came to be. With multiple modules available for individual flux parameterizations and over 100 parameters, the Precipitation-Runoff Modeling System (PRMS) is a perfect example of why it is such a cha...

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Bibliographic Details
Published in:Environmental modelling & software : with environment data news Vol. 114; pp. 152 - 165
Main Authors: Volk, John M., Turner, Matthew A.
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01.04.2019
Elsevier Science Ltd
Subjects:
case studies
Computer simulation
Data structures
Framework
Hydrologic models
Hydrology
Mathematical models
metadata
Parameter estimation
Parameter modification
Parameter sensitivity
PAWN
PRMS
provenance
Python
Rainfall-runoff relationships
Resampling
Runoff
Sensitivity analysis
Short wave radiation
Solar radiation
Tracking
Parameter sensitivity
PRMS
PAWN
Framework
Python
ISSN:1364-8152, 1873-6726
Online Access:Get full text
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Summary:A persistent problem in numerical hydrologic modeling, is tracking provenance or how particular data came to be. With multiple modules available for individual flux parameterizations and over 100 parameters, the Precipitation-Runoff Modeling System (PRMS) is a perfect example of why it is such a challenge to track the history of input and output of complex models. We present a lightweight, object-oriented Python framework with programmatic tools for management and visualization using PRMS as an example platform. Within this framework, a modeler can write intuitive code for a myriad of basic or advanced applications. The framework also includes methods that, for example, apply systematic or stochastic parameter modifications while simultaneously saving metadata on which parameters were varied and with what improvement in performance. We include a case study that uses built in Monte Carlo parameter resampling for global sensitivity analysis of eight PRMS parameters related to estimation of shortwave solar radiation. •PRMS-Python is a framework for advanced modeling analyses with PRMS hydrologic model.•Tools include modification of model input, visualization, and simulation management.•Framework provides metadata for large model ensembles for sharing and reproducibility.•PRMS-Python is used to conduct a global parameter sensitivity analysis case study.
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ISSN:1364-8152
1873-6726
DOI:10.1016/j.envsoft.2019.01.006