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Scale adaptive KF cumulus convection parameterization method based on subgrid proportion function

A scale-adaptive and parametric technology, applied in design optimization/simulation, CAD numerical modeling, meteorology, etc., can solve problems such as unstable performance and lack of theoretical support, and achieve good theoretical support, stable performance, The effect of improving accuracy

Pending Publication Date: 2022-07-29
INST OF DESERT METEOROLOGY CMA URUMQI
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Problems solved by technology

However, the design of the β scale factor in the multi-scale KF scheme of Zheng et al. (2016) has certain subjectivity and lacks relatively complete theoretical support, which may lead to unstable performance of the scheme

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  • Scale adaptive KF cumulus convection parameterization method based on subgrid proportion function
  • Scale adaptive KF cumulus convection parameterization method based on subgrid proportion function
  • Scale adaptive KF cumulus convection parameterization method based on subgrid proportion function

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Embodiment Construction

[0052]Preferred embodiments of the present invention will be described in detail below. In order to better describe the specific embodiments of the present invention, first introduce the KF (Kain and Fritsch 1990, 1993; Kain 2004) scheme and Zheng et al. (2016) based on KF (Kain and Fritsch 1990, 1993; Kain 2004) cumulus convection Parametric scheme.

[0053] The KF (Kain and Fritsch 1990, 1993; Kain 2004) scheme is one of the widely used mass flux-based cumulus convection parameterization schemes. The scheme consists of three parts: 1) Convective trigger function; 2) Mass flux formula; 3) Closure assumption. If the condensate layer (LCL) is raised, the block temperature (T LCL ) and the disturbance temperature (δT vv ) is greater than the ambient temperature T ENV , then the "convection triggering module" determines that the convection cloud can be triggered (as shown in Equation 26).

[0054] T LCL +δT vv >T ENV (26)

[0055] The Mass Flux Module calculates changes...

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Abstract

The invention discloses a scale adaptive KF cumulus convection parameterization method based on a secondary grid proportion function. The method comprises the following steps: step A, giving a secondary grid proportion mean value function through data fitting; and B, introducing the secondary grid proportion mean value function into a KF cumulus convection parameterization scheme to obtain a new cumulus convection parameterization scheme with scale consciousness, namely a scale self-adaptive KF scheme based on the secondary grid proportion function. According to the cumulus height and the mode grid distance calculated by the KF, nine variables of the KF cumulus convection scheme are adjusted by applying the fitted sub-grid heat-sensitive flux average proportion function, so that the KF cumulus scheme has a scale awareness feature, has better theoretical support, and can be used for solving the problem that the KF cumulus convection scheme has a large scale consciousness feature. And a cumulus adjustment function having a dependency relationship with the pattern lattice point scale and the cumulus scale is constructed, so that the rainfall forecasting performance is more stable, and the accuracy of rainfall forecasting is improved.

Description

technical field [0001] The invention relates to the technical field of numerical weather forecasting, in particular to a scale-adaptive KF cumulus convection parameterization method based on a sub-grid ratio function. Background technique [0002] Numerical weather prediction refers to solving the equations of hydrodynamics and thermodynamics of the weather evolution process by numerical calculation based on the actual conditions of the atmosphere and certain initial and boundary values, and predicting a certain period of time in the future. methods of atmospheric motion and weather phenomena. The cumulus convection process is one of the important wet processes in the atmosphere. It affects the large-scale circulation through sensible heat, latent heat and momentum transport, and then adjusts the vertical distribution of the atmospheric temperature and humidity fields. The cumulus convection parameterization scheme is introduced by considering the sub-grid scale deep convec...

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Application Information

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IPC IPC(8): G06F30/28G01W1/10G06F111/10G06F119/08
CPCG06F30/28G01W1/10G06F2111/10G06F2119/08
Inventor 张海亮李建刚买买提艾力·买买提依明李火青马玉芬王敏仲刘军建李曼琚陈相
Owner INST OF DESERT METEOROLOGY CMA URUMQI
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