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Data assimilation method for estimating space-time continuous surface water heat flux

A data assimilation and heat flux technology, applied in the field of data assimilation, can solve problems such as missing observation data errors

Active Publication Date: 2019-11-19
BEIJING NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the deficiencies in the prior art, provide a data assimilation method and its application, and a computer-readable storage medium, which mainly solves the problems caused by the construction of a single model state variable in the data assimilation method in the prior art. The problem of missing or large errors in observational data

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  • Data assimilation method for estimating space-time continuous surface water heat flux
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  • Data assimilation method for estimating space-time continuous surface water heat flux

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Embodiment 1

[0092] Data assimilation refers to the method of fusing new observation data during the operation of the numerical model on the basis of considering the temporal and spatial distribution of data and the errors of observation field and background field. The method in the embodiment of the present invention is formally devoted to solving how to optimize the parameters of the remote sensing model by assimilating multi-source remote sensing data, and then realize the spatio-temporal simulation of surface water and heat flux. Generate 1km-resolution space-time continuous area surface water heat flux data set, and promote the wide application of data assimilation method to estimate surface water heat flux in hydrological cycle and land surface energy related fields.

[0093] The embodiment of the present invention constructs a complete remote sensing multi-source data assimilation system for estimating surface water and heat flux. It mainly includes: model operator, observation oper...

Embodiment 2

[0156] The Heihe River originates from the Qilian Mountains on the northern edge of the Qinghai-Tibet Plateau and ends in the Juyan Sea. It is the second largest inland river in my country, with an area of ​​about 1.3×10 5 km 2 . The Heihe River Basin is located in the center of the Eurasian continent, far away from the sea, and has a cold and dry climate, which belongs to the typical temperate continental monsoon climate. The climate in the upper reaches is damp and cold, the vegetation is good, the average temperature is lower than 2 degrees, and the annual precipitation is about 350mm. The main land cover types include mountain forests, mountain grasslands, mountain deserts, glaciers and snow cover, etc. farmland etc. The middle reaches are the Hexi Corridor Plain, and the annual precipitation decreases from 250mm in the south to below 100mm in the north. The main land cover types include oasis, oasis-desert transition zone, desert grassland, desert, and residential areas...

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Abstract

The invention provides a data assimilation method for estimating space-time continuous surface water heat flux. The method mainly comprises the following steps: S1, establishing a double-source surface energy balance model; S2, establishing a vegetation dynamic model, and obtaining the dynamic change of the vegetation according to the vegetation dynamic model; S3, establishing a relationship according to the vegetation dynamic model and the specific leaf area established in the step S2 to obtain an LAI dynamic model; S4, coupling the double-source earth surface energy balance model establishedin the step S1 with the vegetation dynamic model established in the step S2; S5, constructing a data assimilation framework based on the double-source earth surface energy balance model and the vegetation dynamic model coupled in the S4; and S6, estimating the heat flux of the surface water according to the data assimilation framework constructed in the S5. According to the method, the model state variables are optimized. Errors caused by observation data loss or model parameters of a traditional model are reduced. Therefore, the simulation precision and the prediction precision of the modelare improved.

Description

technical field [0001] The invention relates to the field of data assimilation and the field of surface hydrothermal technology, in particular to a data assimilation method for estimating space-time continuous surface water and heat flux. Background technique [0002] The exchange of matter and energy between the earth's surface and the atmosphere plays a very important role in the change of the earth's weather system, the ecological hydrological cycle and the process of material migration. Among them, the surface water heat flux (sensible heat flux and latent heat flux) is a very important part of the process of surface energy conversion and material transfer, which to a certain extent determines the change of weather and then affects the evolution of the environment. Realizing accurate simulation and prediction of surface water and heat flux is of great significance in the study of climate change, management and utilization of water resources, and agricultural development....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 和鑫磊徐同仁刘绍民赵静学丰怀泽
Owner BEIJING NORMAL UNIVERSITY
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