Stepping vorticity covariance observation data processing method

A technology of observational data and processing methods, applied in the fields of environmental science and carbon cycle research, can solve the problems of high discard rate of original data and less gas exchange flux data, and achieve improved spatial and temporal resolution, avoid superposition effect, high practical The effect of application and promotion value

Active Publication Date: 2020-04-21
QINGDAO INST OF MARINE GEOLOGY
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Problems solved by technology

[0005] Aiming at the shortcomings of the traditional eddy covariance method, such as the relatively high discarding rate of original data and the relatively small amount of gas exchange flux data obtained, the invention proposes a step-by-step eddy covariance observation data processing method

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  • Stepping vorticity covariance observation data processing method
  • Stepping vorticity covariance observation data processing method
  • Stepping vorticity covariance observation data processing method

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[0026] In order to understand the above-mentioned purpose and advantages of the present invention more clearly, the specific embodiment of the present invention is described in detail below in conjunction with accompanying drawing: It should be noted that: the eddy covariance observation raw data is based on high acquisition frequency (acquisition per second) 10 times) to observe environmental factors such as three-dimensional wind speed and gas concentration in the environment, and use mathematical methods in the field of micrometeorology to calculate and convert the original data in a period of time into the average gas exchange flux in this period of time to obtain It characterizes the amount of greenhouse gas exchange between the surface of the ecosystem and the atmosphere per unit time and per unit area.

[0027] For a long time, since the improvement of the processing process of eddy covariance observation data is mainly carried out by micrometeorologists, the focus of th...

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Abstract

The invention discloses a stepping vorticity covariance observation data processing method. On the basis of obtained original observation data, and by adopting a segmented moving average processing mode, the whole average time period is divided into a plurality of sub-time periods which are overlapped on the time scale by an equal-length stepping time, and the number of calculation time periods isremarkably increased, and meanwhile, the original observation data is contained as much as possible, so that more calculation flux values are obtained; besides, when the gas exchange capacity in eachsub-time period is accumulated, the exchange capacity in the middle stepping time of each sub-time period is used as the exchange flux of the sub-time period for superposition, so that the superposition effect caused by accumulation of the whole time period is effectively avoided. According to the scheme, the abandoning rate of original observation data is remarkably reduced, and the data volumeof the obtained gas exchange flux is increased; and moreover, the vorticity covariance data processed by the method can improve the spatial-temporal resolution of vorticity covariance flux, and provides a more detailed and accurate basis for community-scale biogeochemical process research and carbon balance evaluation.

Description

technical field [0001] The invention belongs to the field of environmental science and carbon cycle research, and specifically relates to a step-by-step eddy covariance observation data processing method. Background technique [0002] The eddy covariance method is an international common method for in situ observation of the exchange of greenhouse gases between ecosystems and the atmosphere. Data post-processing methods can screen and eliminate the exchange flux under these unideal conditions, but the final flux data set will still have missing data. [0003] The traditional eddy covariance method needs to calculate the average exchange flux within a period of time by using the segmented average, divide the entire observation period into time periods with the same length and end-to-end links, and calculate the average exchange flux of this time period in each time period. Greenhouse gas exchange flux, and simple accumulation to obtain the total gaseous carbon budget. Using ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/06393Y02P90/84
Inventor 余雪洋叶思源
Owner QINGDAO INST OF MARINE GEOLOGY
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