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Data assimilation scheme based on twin model

A data assimilation and twinning technology, applied in the direction of design optimization/simulation, etc., can solve problems such as difficulty in implementing data assimilation methods, and achieve the effect of avoiding model framework adjustment and making in-depth mining convenient.

Pending Publication Date: 2022-07-01
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

[0006] Aiming at the shortcomings of existing data assimilation methods that are difficult to implement, a data assimilation scheme based on twin models is provided

Method used

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  • Data assimilation scheme based on twin model
  • Data assimilation scheme based on twin model
  • Data assimilation scheme based on twin model

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Embodiment Construction

[0039] The technical solutions and basic principles in the embodiments of the present invention will be fully and clearly explained below with reference to the accompanying drawings used in the embodiments of the present invention. Obviously, the described embodiments are only representative embodiments of the present invention, and Not all examples, the examples are only used to explain the present invention, but not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0040] like figure 1 As shown, a data assimilation scheme based on the twin model includes the following steps:

[0041] Step 1: Assimilation preparation, including assimilation length, land surface process model simulation and observation data set;

[0042] Step 2: Construction of twin models, using process model simul...

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Abstract

The invention relates to a twinborn model-based data assimilation scheme. The scheme comprises the following steps of: 1) simulating and observing process models at different moments in a research area and constructing process twinborn models of process models at different moments and observation twinborn models of observation models at different moments; 2) using the process twinborn models at different moments to consider simulation errors, performing re-simulation to obtain twinborn simulation of each state variable at different moments in the research area, and converting to an observation space by using an observation twinborn model to obtain twinborn observation; 3) calculating the twinborn assimilation quantity of each state variable of each grid in the research area by utilizing twinborn observation and actual observation of each state variable at different moments; and 4) assimilating each state variable of the assimilation moment process model by using the twin assimilation quantity. According to the method, data assimilation is convenient to operate, easy to implement, flexible and efficient, professional technicians can be liberated from heavy assimilation code modification, and the energy is better concentrated on the simulation effect of the data assimilation improvement process model.

Description

technical field [0001] The invention relates to a data assimilation scheme for a land surface process model, in particular to a scheme for data assimilation using a twin model of the process model. Background technique [0002] The land surface process is the sum total of the physical processes, chemical processes, plant physiological processes, human activity processes, and microbial decomposition processes attached to the various component systems on the land surface and between them, and is an important part of the giant system of the earth. The land surface process model is an important method to study land surface processes and the mutual exchange of matter, energy, radiation, moisture and momentum between them. It is an important tool for land surface fluxes such as runoff, nitrogen, phosphorus and carbon, surface evapotranspiration, and sensible heat, and it is also an important technology for evaluating the natural forcing caused by human activities. [0003] At pre...

Claims

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Application Information

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IPC IPC(8): G06F30/27
CPCG06F30/27G06F2119/02
Inventor 不公告发明人
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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