A model instability issue in the National Centers for Environmental Prediction Global Forecast System version 16 and potential solutions
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Published:2023-06-12
Issue:11
Volume:16
Page:3263-3274
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Zhou Xiaqiong,Juang Hann-Ming Henry
Abstract
Abstract. The National Centers for Environmental Prediction (NCEP) Global Forecast System version 16 (GFSv16) encountered a few model instability failures during
the pre-operational real-time parallel runs. The model forecasts failed when an extremely small thickness depth appeared at the model's lowest layer
during the landfall of strong tropical cyclones. A quick solution was to increase the value of minimum thickness depth, an arbitrary parameter
introduced to prevent numerical instability. This modification solved the model's numerical instability with a small impact on forecast skills. It
was adopted in GFSv16 to implement this version of the operational system as planned. Upon further investigation, it was determined that the extremely thin depth was a result of the advection of geopotential heights at the interfaces of
model layers. In the Finite-Volume Cubed-Sphere (FV3) dynamical core, the horizontal winds at interfaces for advection are calculated from the layer-mean values by solving a tridiagonal system of equations in the entire vertical column based on the parabolic spline method (PSM) with high-order boundary conditions (BCs). We replaced the high-order BCs with zero-gradient BCs for the interface-wind reconstruction. The impact of the zero-gradient BCs was investigated by
performing sensitivity experiments with GFSv16, idealized mountain ridge tests and the Rapid Refresh Forecast System (RRFS). The results showed that zero-gradient BCs can fundamentally solve the instability and have little impact on the forecast performances and the numerical solutions of idealized mountain tests. This option has been added to FV3 and will be utilized in the GFS (GFSv17/Global Ensemble Forecast System version 13 – GEFSv13) and RRFS for operations.
Publisher
Copernicus GmbH
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