Hi, I'm an error. x

Scaling Theme - National Water Model Predictions in the Critical Zone


Authors: Danielle Tijerina
Owners: Danielle Tijerina
Resource type: Composite Resource
Storage: The size of this resource is 3.9 MB
Created: Apr 02, 2019 at 3:52 p.m.
Last updated: Apr 12, 2019 at 2:48 p.m. by Danielle Tijerina
Citation: See how to cite this resource
Sharing Status: Public
Views: 40
Downloads: 4
+1 Votes: 1 other +1 this  (You need to be logged in to rate this.)
Comments: No comments (yet)

Abstract

WHAT
Problem Statement: How can spatially variable hydrologic processes best be represented within the unifying framework of the National Water Model?

WHY
Goal: Analyze NWM simulations of hydrologic processes in selected Critical Zone Observatories (CZOs), using multiple hydrologic data types. Propose/develop improvements to how dominant processes in these CZOs are formulated in the NWM, validating these within the CZOs.
Larger Impact : A framework to evaluate NWM success at representing hydrologic processes (e.g. water balance; snowpack contributions; dominant flow paths, riparian processes) across the U.S. and to propose pathways to improvement.

HOW
Approach: NWM cutouts run in docker. Matlab, R or Python used to analyze modelled and observed data, compare, and test alternative model formulations.
Student Learning Goals: Students become confident running the NWM in selected watersheds, analyzing output, and investigate CZO data opportunities.
Links to other projects: Multiple teams could form to work on different processes and/or CZOs. This project is closely linked to 2.5 km2 challenge and Reproducible model development projects, where students design/test alternative runoff models, including in CZO watersheds.
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: WRF-Hydro tutorials for pre-SI reading about the NWM background at https://ral.ucar.edu/projects/wrf_hydro/training-materials; Read about the CZOs at http://criticalzone.org/national/

Content

README.md

National Water Model predictions in the Critical Zone

WHAT

Problem Statement: How can spatially variable hydrologic processes best be represented within the unifying framework of the National Water Model?

WHY

Goal: Analyze NWM simulations of hydrologic processes in selected Critical Zone Observatories (CZOs), using multiple hydrologic data types. Propose/develop improvements to how dominant processes in these CZOs are formulated in the NWM, validating these within the CZOs.
Larger Impact: A framework to evaluate NWM success at representing hydrologic processes (e.g. water balance; snowpack contributions; dominant flow paths, riparian processes) across the U.S. and to propose pathways to improvement.

HOW

Approach: NWM cutouts run in docker. Matlab, R or Python used to analyze modelled and observed data, compare, and test alternative model formulations.
Student Learning Goals: Students become confident running the NWM in selected watersheds, analyzing output, and investigate CZO data opportunities.
Links to other projects: Multiple teams could form to work on different processes and/or CZOs. This project is closely linked to 2.5 km2 challenge and Reproducible model development projects, where students design/test alternative runoff models, including in CZO watersheds.
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: WRF-Hydro tutorials for pre-SI reading about the NWM background at https://ral.ucar.edu/projects/wrf_hydro/training-materials; Read about the CZOs at http://criticalzone.org/national/

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

Model Data: CUAHSI tool for NWM cutouts, NWC ‘data of record’ for rainfall, NLDAS rainfall
Observed Data: This handout describes CZO data, including its move to CUAHSI’s Hydroshare platform: http://criticalzone.org/images/national/associated-files/1National/CZOData/CZO-AGU-DATA-high-res.pdf

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
2019 Summer Institute - Problem Statements Danielle Tijerina  Public &  Shareable Open Access

How to Cite

Tijerina, D. (2019). Scaling Theme - National Water Model Predictions in the Critical Zone, HydroShare, http://www.hydroshare.org/resource/fd278e999f0f411fb6fa19c4621faa54

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

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required