Multi-source environment ecological information data assimilation method

Abstract

The invention discloses a multi-source environment ecological information data assimilation method, which relates to the field of environment ecological information merging and the field of data assimilation. The invention is characterized in that the multi-source environment ecological information data assimilation method comprises the following steps: obtaining multi-source environment ecological information data; using space deduction tool software (SET) with the proprietary intellectual property rights for carrying out data missing value supplementation and carrying out normalization processing on a multi-source data set; beginning the operation on the standardized data set by using a data assimilation model; and outputting a data layer expressing the integral environment ecological information. The method can insert the observation values from irregular observation points into regular grid points, and fully utilizes multi-object, multi-scale and multi-time-phase observation data for organically merging the observation values to obtain the data set with the physical and space-time consistency. Particularly, the environment ecological information on the analysis region can be fast obtained.

Description

technical field [0001] The invention relates to the field of research on fusion of environmental and ecological information and the field of data assimilation, in particular to a data assimilation model of environmental and ecological information. Background technique [0002] Environmental ecological information reflects the characteristics and succession laws of the natural ecological system and social ecological system in the environmental ecological system. With the diversification of environmental and ecological information acquisition means, the acquired environmental and ecological information is more and more complex. When conducting environmental and ecological analysis, it is hoped that the environmental and ecological information will be distributed in the analysis time in time and in the analysis area in space. However, the time and precision of environmental and ecological information from different sources are different. If they are simply used together, it wil...

AI Technical Summary

Problems solved by technology

At present, the main data assimilation methods are: insertion observation assimilation method, four-dimensional optimal interpolation assimilation method, variational assimilation method, filter algorithm assimilation method, maximum conditional probability assimilation method, generalized solution assimilation method, adjoint equation assimilation method and smoothing spline assimilation method However, these methods are all produced in the field of atmospheric and ocean sciences, and cannot be directly applied to the field of environmental ecology, cannot be directly used for data assimilation of multi-source environmental and ecological information, and cannot spatially distribute environmental and ecological information to the analysis area

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