Land carbon cycle assimilation method and system based on space-based CO2 flux data

A technology of data assimilation and carbon cycle, applied in the application field of space-based data, can solve the problems of insufficient improvement in simulation accuracy of terrestrial biosphere models and limited effect of data assimilation methods, and achieve the goal of expanding time resolution, improving accuracy, and enhancing process Effect

Pending Publication Date: 2021-06-11
CHINA ACADEMY OF SPACE TECHNOLOGY
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Problems solved by technology

[0005] The invention solves the problem that the effect of the data assimilation method supported by the existing observation dat

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  • Land carbon cycle assimilation method and system based on space-based CO2 flux data
  • Land carbon cycle assimilation method and system based on space-based CO2 flux data
  • Land carbon cycle assimilation method and system based on space-based CO2 flux data

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Embodiment Construction

[0027] In order to make the above objects, features and advantages of the present invention more clearly understood, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0028] The embodiment of the present invention provides a terrestrial carbon cycle assimilation system, seefigure 1 Schematic diagram of the terrestrial carbon cycle assimilation framework shown, showing space-based observations of CO 2 Flux data are observational data, construct a terrestrial carbon cycle assimilation framework, and improve the terrestrial biosphere model for large-scale land-atmospheric CO 2 Simulation accuracy of flux.

[0029] like figure 1 As shown, the terrestrial biosphere model includes the initial field, the initial conditions of the terrestrial bios...

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Abstract

The invention provides a land carbon cycle assimilation method and system based on space-based CO2 flux data. The method comprises the following steps: determining an initial field of a land biosphere model; determining a CO2 flux forecast value at the moment t according to the land biosphere model; mapping the CO2 flux forecast value to an observation space through an observation operator to obtain a target CO2 flux forecast value at the moment t; calculating a CO2 flux assimilation analysis value according to the target CO2 flux forecast value at the moment t and the space-based CO2 flux data at the moment t, and determining the optimal estimation of the CO2 flux at the moment t; replacing the predicted value of the CO2 flux at the t moment with the optimal estimation of the CO2 flux at the t moment; repeatedly executing the steps at k moments where space-based CO2 flux data exist, respectively obtaining CO2 flux optimal estimations at the moments t + 1, 2,..., k, and replacing the CO2 flux predicted values at the moments t + 1, 2,..., k with the CO2 flux optimal estimations at the moments t + 1, 2,..., k. According to the method, the precision of CO2 flux simulation on global and regional scales can be effectively improved.

Description

technical field [0001] The invention relates to the technical field of application of space-based data, in particular to a space-based CO 2 Terrestrial carbon cycle assimilation method and system for flux data. Background technique [0002] A terrestrial biosphere model is a tool for simulating the dynamics of ecosystem processes through mathematical equation descriptions that parameterize these processes. 2 flux. Terrestrial biosphere models enable CO2 at higher temporal resolution than observational methods 2 Flux simulation, simultaneously procedural, mechanistic, and predictive. However, due to the high simplification of complex ecosystem processes by the terrestrial biosphere model, there are still great uncertainties in the simulation of carbon cycle processes; at the same time, it is often difficult to obtain accurate model parameters on a large spatial scale; Model-driven meteorological reanalysis data is obtained from ground station observations and meteorologic...

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Application Information

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IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 黄彦于志同姚伟贾炳浩胡洛佳
Owner CHINA ACADEMY OF SPACE TECHNOLOGY
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