Evaluating surface and subsurface fluxes in hydrological models to advance basin-scale operational water supply forecasting

Shin, Satbyeol; Gronewold, Andrew D.; Fry, Lauren M.; Dugger, Aubrey; Kessler, James

doi:10.1080/02626667.2024.2378100

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Evaluating surface and subsurface fluxes in hydrological models to advance basin-scale operational water supply forecasting

2024
By Shin, Satbyeol ; Gronewold, Andrew D. ; Fry, Lauren M. ; ...
Source: Hydrological Sciences Journal, 69(11), 1539-1556

[PDF-13.68 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

Details You May Also Like

Details:

Journal Title:

Hydrological Sciences Journal
Personal Author:

Shin, Satbyeol ; Gronewold, Andrew D. ; Fry, Lauren M. ; Dugger, Aubrey ; Kessler, James

Shin, Satbyeol ; Gronewold, Andrew D. ; Fry, Lauren M. ; Dugger, Aubrey ; Kessler, James Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory)

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory) Less -
Description:

Comprehensive assessments of hydrological components are crucial for enhancing operational water supply simulations. However, hydrological models are often evaluated based on their surface flow simulations, while the validation of subsurface and groundwater components tends to be overlooked or not well documented. In this study, we evaluated the outputs of two hydrological models, the Large Basin Runoff Model (LBRM) and the Weather Research and Forecasting – Hydrological modeling extension package (WRF-Hydro), for potential implementation in operational water balance forecasting in the Great Lakes region. We examined the simulated hydrological variables including surface (e.g. snow water equivalent, evapotranspiration, and streamflow), subsurface (e.g. soil moisture at different layers), and groundwater components with observed or reference data from ground-based stations and remotely sensed images. The findings of this study provide valuable insights into the capabilities and limitations of each model. These findings contribute to more informed water management strategies for the Great Lakes region.
Source:

Hydrological Sciences Journal, 69(11), 1539-1556
DOI:

https://doi.org/10.1080/02626667.2024.2378100
ISSN:

0262-6667;2150-3435;
Format:

pdf
Publisher:

Informa UK Limited
Document Type:

Journal Article
Funding:

Grant no. NA22OAR4320150
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
Compliance:

Library
Main Document Checksum:

[+]

urn:sha-512:7479ad4f7e1ef6c926bb881f5a118658eaf47d56220affc333f02f96e98fe9219639c828f0076e1d3812a546ad3450013276e65c1aa7959c0560e9e8e8cb2401
Download URL:

https://repository.library.noaa.gov/view/noaa/67957/noaa_67957_DS1.pdf
File Type:

No Additional Files

More +

Evaluating surface and subsurface fluxes in hydrological models to advance basin-scale operational water supply forecasting

Details:

Supporting Files

You May Also Like