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High-temporal-spatial-resolution CO2 flux inversion system and method

A space-time resolution, CO2 technology, applied in ICT adaptation, climate sustainability, complex mathematical operations, etc., can solve problems that cannot meet the actual evaluation, and achieve a priori source underestimation, reduce uncertainty, and high estimation accuracy Effect

Active Publication Date: 2022-07-08
NANJING UNIV +2
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Problems solved by technology

Provide technical support for "monitorable, verifiable, and supportable" carbon source and sink data in my country, which requires high temporal and spatial resolution CO2 flux estimation, and previous research in this field cannot meet the actual assessment needs

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  • High-temporal-spatial-resolution CO2 flux inversion system and method

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Embodiment Construction

[0058] Below in conjunction with the accompanying drawings and specific embodiments, the present invention will be further clarified. It should be understood that these examples are only used to illustrate the present invention and are not used to limit the scope of the present invention. Modifications in the form of valence all fall within the scope defined by the appended claims of the present application.

[0059] A high spatiotemporal resolution CO 2 Flux inversion methods such as figure 1 shown, including the following steps:

[0060] 1. Forecast model

[0061] In the high temporal and spatial resolution carbon assimilation technique, the forecast model consists of the Atmospheric Chemical Transport Model (CMAQ) and the emission source diagnostic model. Considering that the emission source is the input of the model, and there is no direct relationship between the front and rear fluxes, a diagnostic model of the emission source is constructed to characterize the dynamic...

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Abstract

The invention discloses a high temporal-spatial resolution CO2 flux inversion system and method, and the system comprises an input module, an emission source diagnosis module, an atmospheric chemical transmission mode, an ensemble square root filtering assimilation unit, and is characterized in that an emission source diagnosis model is established according to a prior flux, an ensemble forecast CO2 concentration field and an ensemble average analysis field of CO2 flux at the same time every day in the previous M-1 days; an ensemble forecast flux is obtained; taking the ensemble forecast flux and the CO2 ensemble concentration analysis field as input fields of an atmospheric chemical transmission mode to obtain a CO2 ensemble concentration forecast field; the CO2 ensemble concentration forecast field, the CO2 ensemble flux forecast field, the observation variables and the CO2 ensemble concentration forecast field on the observation station are input into the ensemble square root filtering assimilation model for inversion, the method is high in estimation precision, the problem of underestimation of a prior source is effectively solved, and meanwhile, the flux uncertainty is reduced.

Description

technical field [0001] The present invention relates to a CO with high temporal and spatial resolution 2 Flux inversion system and method, belonging to CO 2 measurement technology. Background technique [0002] CO 2 is an important greenhouse gas. CO emissions into the atmosphere 2 , more than half is absorbed by the global ocean and terrestrial ecosystems, and the rest remains in the atmosphere. Human-induced CO 2 Continued growth in concentrations of and other greenhouse gases is a major contributor to global change. However, CO 2 There are significant spatial and temporal differences in natural sources, sinks and anthropogenic emissions. [0003] As an important method and means, data assimilation can realize carbon flux simulation and source analysis of large spatial scale, fine time scale and high spatial resolution. By fully fusing observational data with numerical models, calculating the carbon budget based on atmospheric concentrations is an effective way to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16C20/30G06F17/18
CPCG16C20/30G06F17/18Y02P90/84Y02A90/10
Inventor 彭珍寇星霞张美根
Owner NANJING UNIV
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