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Method and system for inverting CO2 background field concentration based on OCO-2 data and WRF-STILT model

A WRF-STILT and OCO-2 technology, applied in special data processing applications, design optimization/simulation, etc., can solve problems such as low efficiency and large amount of calculation, achieve high precision, reduce calculation amount, and reduce system resource consumption Effect

Active Publication Date: 2021-04-02
WUHAN UNIV
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Problems solved by technology

[0003] For the selection of CO2 background field concentration in urban areas, there have been a large number of research results at home and abroad, some of which use the visual interpretation method to select "clean points" around the city (locations far away from carbon sources and carbon sinks), and place the The concentration measured at the position is used as the CO2 background field concentration within this range. This method is inefficient. Some studies use the Gaussian feathering model for forward simulation, and obtain accurate background field concentration through fitting, but the disadvantage lies in the amount of calculation. great

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  • Method and system for inverting CO2 background field concentration based on OCO-2 data and WRF-STILT model
  • Method and system for inverting CO2 background field concentration based on OCO-2 data and WRF-STILT model
  • Method and system for inverting CO2 background field concentration based on OCO-2 data and WRF-STILT model

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[0040] The technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0041] In the embodiment of the present invention, the anthropogenic carbon emission flux can be obtained from the EDGAR or ODIAC emission inventory, and the biological flux can be obtained by using the CASA model or the VPRM model, and the sum of the two is used as the prior CO2 flux, according to the OCO-2 observation point The weighted footprint is obtained by using the WRF-STILT model, and the background field concentration is assumed to be an unknown quantity. The posterior flux can be obtained by using Bayesian inversion, and the posterior simulated observation value can be obtained by multiplying the posterior flux by weighted footprint , using the simulated observation value and the real observation value should satisfy the normal distribution with a mean value of 0, the background field concentration value can be solv...

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Abstract

The invention provides a CO2 background field concentration inversion method and system based on OCO-2 data and a WRFSTILT model, and the WRFSTILT model comprises a WRF model and an STILT model. The method comprises the steps: obtaining meteorological data as the input of the WRF model, and enabling the WRF model to obtain a meteorological field with high spatial-temporal resolution nearby a research region through interpolation; taking the obtained meteorological field as the input of an STILT model, and obtaining a pressure weighted footprint field corresponding to each observation value based on the STILT model according to the time and position of an OCO-2 transit point; acquiring a priori total carbon flux, acquiring a better posteriori total carbon flux by using Bayesian estimation,acquiring a simulation observation value according to the posteriori total carbon flux and a footprint field, and inverting the CO2 background field concentration by using a condition that the difference between the simulation observation value and an actual observation value meets normal distribution with a mean value of 0. According to the method, the background field concentration can be directly solved according to the OCO2 observation value, the precision is high, the consumption is low, and more accurate data is provided for further researching the problems of urban scale carbon cycle and the like.

Description

technical field [0001] The invention relates to the field of atmospheric technology, in particular to a method and system for retrieving CO2 background field concentration based on OCO-2 data and a WRF-STILT model. Background technique [0002] With carbon dioxide (CO 2 )-dominated greenhouse gases are considered to be the gases that have the greatest impact on global climate change. Most climatologists believe that the carbon dioxide emitted by human activities has led to a sharp increase in the concentration of atmospheric carbon dioxide in the past 200 years. As the process of global industrialization continues to accelerate, the continuous increase of man-made carbon emissions has brought significant impacts on the global climate, economy, ecology, etc. It will gradually become a trend to collect taxes on countries and enterprises. Changes in atmospheric carbon dioxide concentration can reflect the CO2 exchange process between the earth and the atmosphere, including CO...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 裴志鹏韩舸史天奇邱若楠
Owner WUHAN UNIV
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