Diffusive wave models for operational forecasting of channel routing at continental scale

Beg, Md Nazmul Azim; Meselhe, Ehab A.; Kim, Dong Ha; Halgren, James; Wlostowski, Adam; Ogden, Fred L.; Flowers, Trey

doi:10.1111/1752-1688.13080

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

Diffusive wave models for operational forecasting of channel routing at continental scale

2022
By Beg, Md Nazmul Azim ; Meselhe, Ehab A. ; Kim, Dong Ha ; ...
Source: JAWRA Journal of the American Water Resources Association (2022)

[PDF-21.27 MB]

Select the Download button to view the document

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

Details Supporting Files You May Also Like

Details:

Journal Title:

JAWRA Journal of the American Water Resources Association
Personal Author:

Beg, Md Nazmul Azim ; Meselhe, Ehab A. ; Kim, Dong Ha ; Halgren, James ; Wlostowski, Adam ; ... More +

Beg, Md Nazmul Azim ; Meselhe, Ehab A. ; Kim, Dong Ha ; Halgren, James ; Wlostowski, Adam ; Ogden, Fred L. ; Flowers, Trey Less -
NOAA Program & Office:

NWS (National Weather Service) ; NWC (National Water Center) ; OWP (Office of Water Prediction)

NWS (National Weather Service) ; NWC (National Water Center) ; OWP (Office of Water Prediction) Less -
Description:

Operational forecast models require robust, computationally efficient, and reliable al - gorithms. We desire accurate forecasts within the limits of the uncertainties in chan - nel geometry and roughness because the output from these algorithms leads to flood warnings and a variety of water management decisions. The current operational Water Model uses the Muskingum- Cunge method, which does not account for key hydraulic conditions such as flow hysteresis and backwater effects, limiting its ability in situa -
Keywords:

[+]

Earth-Surface Processes Ecology Water Science And Technology
Source:

JAWRA Journal of the American Water Resources Association (2022)
DOI:

https://doi.org/10.1111/1752-1688.13080
ISSN:

1093-474X;1752-1688;
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
Funding:

Grant no. NA18OAR4590394
License:

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

CC BY-NC-ND
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:ba6a305eca4bd1598539f23a770e12e0cb8060ed809337cd013dc67adf359b90
Download URL:

https://repository.library.noaa.gov/view/noaa/52584/noaa_52584_DS1.pdf
File Type:

Machine readable version (XML)

xml

More +