TY - JOUR
T1 - NOAA's National Water Model
T2 - Advancing operational hydrology through continental-scale modeling
AU - Cosgrove, Brian
AU - Gochis, David
AU - Flowers, Trey
AU - Dugger, Aubrey
AU - Ogden, Fred
AU - Graziano, Tom
AU - Clark, Ed
AU - Cabell, Ryan
AU - Casiday, Nick
AU - Cui, Zhengtao
AU - Eicher, Kelley
AU - Fall, Greg
AU - Feng, Xia
AU - Fitzgerald, Katelyn
AU - Frazier, Nels
AU - George, Camaron
AU - Gibbs, Rich
AU - Hernandez, Liliana
AU - Johnson, Donald
AU - Jones, Ryan
AU - Karsten, Logan
AU - Kefelegn, Henok
AU - Kitzmiller, David
AU - Lee, Haksu
AU - Liu, Yuqiong
AU - Mashriqui, Hassan
AU - Mattern, David
AU - McCluskey, Alyssa
AU - McCreight, James L.
AU - McDaniel, Rachel
AU - Midekisa, Alemayehu
AU - Newman, Andy
AU - Pan, Linlin
AU - Pham, Cham
AU - RafieeiNasab, Arezoo
AU - Rasmussen, Roy
AU - Read, Laura
AU - Rezaeianzadeh, Mehdi
AU - Salas, Fernando
AU - Sang, Dina
AU - Sampson, Kevin
AU - Schneider, Tim
AU - Shi, Qi
AU - Sood, Gautam
AU - Wood, Andy
AU - Wu, Wanru
AU - Yates, David
AU - Yu, Wei
AU - Zhang, Yongxin
N1 - Publisher Copyright:
© 2024 The Authors. Journal of the American Water Resources Association published by Wiley Periodicals LLC on behalf of American Water Resources Association. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
PY - 2024/4
Y1 - 2024/4
N2 - The National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the National Center for Atmospheric Research and the NWS National Centers for Environmental Prediction (NCEP) implemented version 2.1 of the National Water Model (NWM) into operations in April of 2021. As with the initial version implemented in 2016, NWM v2.1 is an hourly cycling analysis and forecast system that provides streamflow guidance for millions of river reaches and other hydrologic information on high-resolution grids. The NWM provides complementary hydrologic guidance at current NWS river forecast locations and significantly expands guidance coverage and water budget information in underserved locations. It produces a full range of hydrologic fields, which can be leveraged by a broad cross section of stakeholders ranging from the emergency responder and water resource communities, to transportation, energy, recreation and agriculture interests, to other water-oriented applications in the government, academic and private sectors. Version 2.1 of the NWM represents the fifth major version upgrade and more than doubles simulation skill with respect to hourly streamflow correlation, Nash Sutcliffe Efficiency, and bias reduction, over its original inception in 2016. This paper will discuss the driving factors underpinning the creation of the NWM, provide a brief overview of the model configuration and performance, and discuss future efforts to improve NWM components and services.
AB - The National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the National Center for Atmospheric Research and the NWS National Centers for Environmental Prediction (NCEP) implemented version 2.1 of the National Water Model (NWM) into operations in April of 2021. As with the initial version implemented in 2016, NWM v2.1 is an hourly cycling analysis and forecast system that provides streamflow guidance for millions of river reaches and other hydrologic information on high-resolution grids. The NWM provides complementary hydrologic guidance at current NWS river forecast locations and significantly expands guidance coverage and water budget information in underserved locations. It produces a full range of hydrologic fields, which can be leveraged by a broad cross section of stakeholders ranging from the emergency responder and water resource communities, to transportation, energy, recreation and agriculture interests, to other water-oriented applications in the government, academic and private sectors. Version 2.1 of the NWM represents the fifth major version upgrade and more than doubles simulation skill with respect to hourly streamflow correlation, Nash Sutcliffe Efficiency, and bias reduction, over its original inception in 2016. This paper will discuss the driving factors underpinning the creation of the NWM, provide a brief overview of the model configuration and performance, and discuss future efforts to improve NWM components and services.
KW - decision support systems
KW - flooding
KW - hydrologic cycle
KW - hydrologic modeling
KW - land surface modeling
KW - operational modeling
KW - rivers/streams
KW - surface water hydrology
UR - https://www.scopus.com/pages/publications/85182216159
U2 - 10.1111/1752-1688.13184
DO - 10.1111/1752-1688.13184
M3 - Article
AN - SCOPUS:85182216159
SN - 1093-474X
VL - 60
SP - 247
EP - 272
JO - Journal of the American Water Resources Association
JF - Journal of the American Water Resources Association
IS - 2
ER -