Method for observing and inverting surface carbon flux based on satellite CO2 column concentration

A carbon flux and column concentration technology, applied in the field of climate change, can solve the problems of uneven distribution and large uncertainty, and achieve the effect of correcting carbon flux errors and simulation accuracy

Pending Publication Date: 2020-09-29
NANJING UNIV
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Problems solved by technology

However, due to the inhomogeneous distribution of ground observations, in regions such as the tropics, East Asia, Africa, and South America where the observation areas are sparse, the uncertainty of the inversion results of existing technologies is very large

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  • Method for observing and inverting surface carbon flux based on satellite CO2 column concentration
  • Method for observing and inverting surface carbon flux based on satellite CO2 column concentration
  • Method for observing and inverting surface carbon flux based on satellite CO2 column concentration

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Embodiment

[0054] From January 2010 to December 2015, the assimilation system carried out the inversion of global terrestrial ecosystem, ocean carbon flux and anthropogenic carbon emissions, and its annual prior uncertainties were set to 100%, 40% and 20%, respectively. Uncertainties for factor γ were set to 3, 5 and 0.5, respectively. Assimilated XCO 2 The observation data is the product of GOSAT ACOS v7.3. A priori and a posteriori fluxes were used for CO 2 Concentration simulations verify the assimilation effect by comparing with observations.

[0055] figure 2 Zonally averaged XCO is shown 2 Simulated bias at different latitudes. with GOSAT XCO 2 Retrieval is compared, essentially, at different latitudes, to a priori XCO 2 The zonal mean deviations are all greater than 1ppm, and the global mean is 1.8±1.3ppm (mean±standard deviation), but for the posterior XCO 2 , most mean deviations are within ±0.5ppm, with a global average of -0.0±1.1ppm. Simulation and GOSAT retrieved X...

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Abstract

The invention discloses a method for observing and inverting surface carbon flux based on satellite CO2 column concentration. The method comprises the following steps: constructing an EnKF carbon fluxinversion system and coupling the EnKF carbon flux inversion system to an MOZART-4 global atmospheric chemical transmission model; performing Gaussian random disturbance on the priori CO2 flux to obtain a set sample, inputting the set sample into an atmospheric model MOZART-4 to simulate CO2 concentration, assimilating observation data of corresponding positions and time, and obtaining optimizedCO2 flux; inputting the optimized flux into the MOZART-4 model again for operation, and generating a new initial field for flux optimization of the next assimilation window; and repeating the step 2 for cyclic assimilation. The high-resolution carbon assimilation inversion system constructed through a new algorithm and a new program can directly assimilate satellite column concentration data, andglobal and regional carbon flux errors and simulation precision are effectively corrected.

Description

technical field [0001] The invention belongs to the field of climate change, especially a satellite-based CO 2 A method for inversion of surface carbon fluxes from column concentration observations. Background technique [0002] Atmospheric CO 2 Is one of the important greenhouse gases, the burning of fossil fuels and land use change are the main reasons for its growth. Terrestrial ecosystems and oceans play a very important role in regulating atmospheric carbon dioxide concentrations. Over the past half century, approximately 60% of anthropogenic CO2 emissions have been absorbed by terrestrial ecosystems and oceans. Therefore, to control global warming, it is important to quantify global and regional carbon fluxes. However, due to the uneven distribution of ground observations, in regions such as the tropics, East Asia, Africa, and South America where the observation areas are sparse, the uncertainty of the inversion results of existing technologies is very large. To m...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 江飞王恒茂陈镜明居为民冯树状
Owner NANJING UNIV
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