Inversion of co based on oco-2 data and wrf-stilt model 2 Method and system for background field concentration

Abstract

The present invention provides a method and system for retrieving CO2 background field concentration based on OCO-2 data and WRF-STILT model. The WRF-STILT model includes WRF model and STILT model, including obtaining meteorological data as the input of WRF model. The model obtains the meteorological field with high temporal and spatial resolution near the study area through interpolation; the obtained meteorological field is used as the input of the STILT model, and according to the time and location of the OCO-2 border crossing point, the pressure-weighted Footprint field; obtain the prior total carbon flux, use Bayesian estimation to obtain a better posterior total carbon flux, obtain simulated observations according to the posterior total carbon flux and footprint field, and use simulated observations and actual observations The difference conforms to the condition of a normal distribution with a mean of 0, and the CO2 background field concentration is inverted. The invention can directly solve the concentration of the background field according to the OCO-2 observation value, has high precision and low consumption, and provides more accurate data for further research on issues such as urban-scale carbon cycle.

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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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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