Hurricane Weather Research and Forecasting (HWRF) Model: 2017 Scientific Documentation

The Hurricane Weather Research and Forecast (HWRF) system has been in operation at the National Oceanic and Atmospheric Administration’s (NOAA) National Centers for Environmental Prediction (NCEP) since 2007. The HWRF system was developed jointly by NCEP’s Environmental Modeling Center (EMC) and NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL) and Atlantic Oceanographic and Meteorological Laboratory (AOML), and has received numerous contributions from the research community, notably from the University of Rhode Island (URI). The current release is Version 3.9a. The purpose of this document is to describe the scientific aspects of the HWRF model. This includes the initialization, ocean coupling, physics schemes, moving nests, GFDL tracker, and idealized simulation.

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Author Biswas, Mrinal K.
Bernardet, Ligia
Abarca, Sergio
Ginis, Isaac
Grell, Evelyn
Kalina, Evan
Kwon, Young
Liu, Bin
Liu, Qingfu
Marchok, Timothy
Mehra, Avichal
Newman, Kathryn M.
Sheinin, Dmitry
Sippel, Jason
Subramanian, Subashini
Tallapragada, Vijay
Thomas, Biju
Tong, Mingjing
Trahan, Samuel
Wang, Weiguo
Yablonsky, Richard
Zhang, Xuejin
Zhang, Zhan
Publisher UCAR/NCAR - Library
Publication Date 2018-05-01T00:00:00
Digital Object Identifier (DOI) Not Assigned
Alternate Identifier N/A
Resource Version N/A
Topic Category geoscientificInformation
Progress N/A
Metadata Date 2023-08-18T18:06:26.530986
Metadata Record Identifier edu.ucar.opensky::technotes:563
Metadata Language eng; USA
Suggested Citation Biswas, Mrinal K., Bernardet, Ligia, Abarca, Sergio, Ginis, Isaac, Grell, Evelyn, Kalina, Evan, Kwon, Young, Liu, Bin, Liu, Qingfu, Marchok, Timothy, Mehra, Avichal, Newman, Kathryn M., Sheinin, Dmitry, Sippel, Jason, Subramanian, Subashini, Tallapragada, Vijay, Thomas, Biju, Tong, Mingjing, Trahan, Samuel, Wang, Weiguo, Yablonsky, Richard, Zhang, Xuejin, Zhang, Zhan. (2018). Hurricane Weather Research and Forecasting (HWRF) Model: 2017 Scientific Documentation. UCAR/NCAR - Library. Accessed 30 September 2023.

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