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Title: Application of Numerical Atmospheric Models

Abstract

In this study, a numerical modeling framework for simulating extreme storm events was established using the Weather Research and Forecasting (WRF) model. Such a framework is necessary for the derivation of engineering parameters such as probable maximum precipitation that are the cornerstone of large water-management infrastructure design. Here, this framework was built based on a heavy storm that occurred in Nashville, Tennessee (U.S.), in 2010, and verified using two other extreme storms. To achieve the optimal setup, several combinations of model resolutions, initial/boundary conditions (IC/BC), cloud microphysics, and cumulus parameterization schemes were evaluated using multiple metrics of precipitation characteristics. The evaluation suggests that WRF is most sensitive to the IC/BC option. Simulation generally benefits from finer resolutions up to 5 km. At the 15 km level, NCEP2 IC/BC produces better results, whereas NAM IC/BC performs best at the 5 km level. The recommended model configuration from this study is: NAM or NCEP2 IC/BC (depending on data availability), 15 km or 15–5 km nested grids, Morrison microphysics, and Kain-Fritsch cumulus schemes. Validation of the optimal framework suggests that these options are good starting choices for modeling extreme events similar to the test cases. This optimal framework is proposed in response tomore » emerging engineering demands of extreme storm event forecasting and analyses for design, operations, and risk assessment of large water infrastructures.« less

Authors:
ORCiD logo [1];  [2]; ORCiD logo [1]
  1. BATTELLE (PACIFIC NW LAB)
  2. University of Washington
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1573211
Report Number(s):
PNNL-SA-147717
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Book
Country of Publication:
Switzerland
Language:
English

Citation Formats

Chen, Xiaodong, Hossain, Faisal, and Leung, Lai-Yung. Application of Numerical Atmospheric Models. Switzerland: N. p., 2020. Web. doi:10.1007/978-3-030-26432-1_4.
Chen, Xiaodong, Hossain, Faisal, & Leung, Lai-Yung. Application of Numerical Atmospheric Models. Switzerland. doi:10.1007/978-3-030-26432-1_4.
Chen, Xiaodong, Hossain, Faisal, and Leung, Lai-Yung. Thu . "Application of Numerical Atmospheric Models". Switzerland. doi:10.1007/978-3-030-26432-1_4.
@article{osti_1573211,
title = {Application of Numerical Atmospheric Models},
author = {Chen, Xiaodong and Hossain, Faisal and Leung, Lai-Yung},
abstractNote = {In this study, a numerical modeling framework for simulating extreme storm events was established using the Weather Research and Forecasting (WRF) model. Such a framework is necessary for the derivation of engineering parameters such as probable maximum precipitation that are the cornerstone of large water-management infrastructure design. Here, this framework was built based on a heavy storm that occurred in Nashville, Tennessee (U.S.), in 2010, and verified using two other extreme storms. To achieve the optimal setup, several combinations of model resolutions, initial/boundary conditions (IC/BC), cloud microphysics, and cumulus parameterization schemes were evaluated using multiple metrics of precipitation characteristics. The evaluation suggests that WRF is most sensitive to the IC/BC option. Simulation generally benefits from finer resolutions up to 5 km. At the 15 km level, NCEP2 IC/BC produces better results, whereas NAM IC/BC performs best at the 5 km level. The recommended model configuration from this study is: NAM or NCEP2 IC/BC (depending on data availability), 15 km or 15–5 km nested grids, Morrison microphysics, and Kain-Fritsch cumulus schemes. Validation of the optimal framework suggests that these options are good starting choices for modeling extreme events similar to the test cases. This optimal framework is proposed in response to emerging engineering demands of extreme storm event forecasting and analyses for design, operations, and risk assessment of large water infrastructures.},
doi = {10.1007/978-3-030-26432-1_4},
journal = {},
number = ,
volume = ,
place = {Switzerland},
year = {2020},
month = {1}
}

Book:
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