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Title: Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound

Abstract

It is a great challenge to specify meteorological forcing in estuarine and coastal circulation modeling using observed data because of the lack of complete datasets. As a result of this limitation, water temperature is often not simulated in estuarine and coastal modeling, with the assumption that density-induced currents are generally dominated by salinity gradients. However, in many situations, temperature gradients could be sufficiently large to influence the baroclinic motion. In this paper, we present an approach to simulate water temperature using outputs from advanced meteorological models. This modeling approach was applied to simulate annual variations of water temperatures of Puget Sound, a fjordal estuary in the Pacific Northwest of USA. Meteorological parameters from North American Region Re-analysis (NARR) model outputs were evaluated with comparisons to observed data at real-time meteorological stations. Model results demonstrated that NARR outputs can be used to drive coastal ocean models for realistic simulations of long-term water-temperature distributions in Puget Sound. Model results indicated that the net flux from NARR can be further improved with the additional information from real-time observations.

Authors:
; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1018147
Report Number(s):
PNNL-SA-80241
Journal ID: ISSN 1759--3131; WN0219060; TRN: US201113%%585
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
International Journal of Ocean and Climate Systems, 2(2):101-117
Additional Journal Information:
Journal Volume: 2; Journal Issue: 2; Journal ID: ISSN 1759--3131
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; ANNUAL VARIATIONS; PUGET SOUND; SALINITY GRADIENTS; SIMULATION; TEMPERATURE GRADIENTS; WATER

Citation Formats

Yang, Zhaoqing, Khangaonkar, Tarang, and Wang, Taiping. Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound. United States: N. p., 2011. Web. doi:10.1260/1759-3131.2.2.101.
Yang, Zhaoqing, Khangaonkar, Tarang, & Wang, Taiping. Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound. United States. doi:10.1260/1759-3131.2.2.101.
Yang, Zhaoqing, Khangaonkar, Tarang, and Wang, Taiping. Wed . "Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound". United States. doi:10.1260/1759-3131.2.2.101.
@article{osti_1018147,
title = {Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound},
author = {Yang, Zhaoqing and Khangaonkar, Tarang and Wang, Taiping},
abstractNote = {It is a great challenge to specify meteorological forcing in estuarine and coastal circulation modeling using observed data because of the lack of complete datasets. As a result of this limitation, water temperature is often not simulated in estuarine and coastal modeling, with the assumption that density-induced currents are generally dominated by salinity gradients. However, in many situations, temperature gradients could be sufficiently large to influence the baroclinic motion. In this paper, we present an approach to simulate water temperature using outputs from advanced meteorological models. This modeling approach was applied to simulate annual variations of water temperatures of Puget Sound, a fjordal estuary in the Pacific Northwest of USA. Meteorological parameters from North American Region Re-analysis (NARR) model outputs were evaluated with comparisons to observed data at real-time meteorological stations. Model results demonstrated that NARR outputs can be used to drive coastal ocean models for realistic simulations of long-term water-temperature distributions in Puget Sound. Model results indicated that the net flux from NARR can be further improved with the additional information from real-time observations.},
doi = {10.1260/1759-3131.2.2.101},
journal = {International Journal of Ocean and Climate Systems, 2(2):101-117},
issn = {1759--3131},
number = 2,
volume = 2,
place = {United States},
year = {2011},
month = {6}
}