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Informatics Theme: Reproducible Modeling Environment


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Created: Apr 03, 2019 at 2:34 p.m.
Last updated: Apr 08, 2019 at 4:43 p.m.
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Abstract

Reproducible model development and evaluation environment.
WHAT

Problem Statement:What is a suitable model development and evaluation for both existing NWM-subset(s) and new/novel model formulation investigation(s)?

WHY
Goal: Work with NWM-subset(s) and model formulation investigation(s) to design and demonstrate a base-line development and testing environment for reproducible model development and evaluation.

HOW
Approach: Review literature and community practices for reproducible model development and evaluation. Start with existing NWM containerization scheme. Determine appropriate abstraction to encapsulate a variety of hydrologic models and formulations. Implement example in cooperation with other themes.
Student Learning Goals: Students learn and demonstrate modern best practices for reproducible model formulation and software development.
Links to other projects: If completed successfully, outcomes of projects working with both subsets of them NWM and newly developed formulations should work with the approach implemented here. A final demonstration could compare new formulations to existing NWM using this same environment and evaluation architecture.
Training opportunities: This project will be part of the Scaling theme: students who participate in this theme will have 3 days of intensive training at the SI, including creating NWM subsets for CZO watersheds, running the NWM using jupyter notebooks/docker containers, using hydrologic data to evaluate hydrologic processes, using and analyzing CZO data.
Supplementary Materials:
Explore research toward community model development. https://doi.org/10.1002/2015WR017910 https://doi.org/10.1002/2016WR019285
Install and work through basic tutorials with Docker. https://docs.docker.com/get-started/ https://docker-curriculum.com/

DATA - What (or what types of) input data will be required?
Model Data: CUAHSI tool for NWM cutouts and forcings.
Observed Data: Readily available NWIS data.

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Content

README.md

Reproducible model development and evaluation environment.

WHAT

Problem Statement: What is a suitable model development and evaluation for both existing NWM-subset(s) and new/novel model formulation investigation(s)?

WHY

Goal: Work with NWM-subset(s) and model formulation investigation(s) to design and demonstrate a base-line development and testing environment for reproducible model development and evaluation.

HOW

Approach: Review literature and community practices for reproducible model development and evaluation. Start with existing NWM containerization scheme. Determine appropriate abstraction to encapsulate a variety of hydrologic models and formulations. Implement example in cooperation with other themes.
Student Learning Goals: Students learn and demonstrate modern best practices for reproducible model formulation and software development.
Links to other projects: If completed successfully, outcomes of projects working with both subsets of them NWM and newly developed formulations should work with the approach implemented here. A final demonstration could compare new formulations to existing NWM using this same environment and evaluation architecture.
Training opportunities: This project will be part of the Scaling theme: students who participate in this theme will have 3 days of intensive training at the SI, including creating NWM subsets for CZO watersheds, running the NWM using jupyter notebooks/docker containers, using hydrologic data to evaluate hydrologic processes, using and analyzing CZO data.
Supplementary Materials:
Explore research toward community model development. https://doi.org/10.1002/2015WR017910 https://doi.org/10.1002/2016WR019285
Install and work through basic tutorials with Docker. https://docs.docker.com/get-started/ https://docker-curriculum.com/

DATA - What (or what types of) input data will be required?

Model Data: CUAHSI tool for NWM cutouts and forcings.
Observed Data: Readily available NWIS data.

How to Cite

Blodgett, D. (2019). Informatics Theme: Reproducible Modeling Environment, HydroShare, http://www.hydroshare.org/resource/7b75e412061f480c9589296e6f203dad

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
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