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Soil temperature and humidity data assimilation method based on EnPF

A data assimilation, temperature and humidity technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of no assimilation method and achieve the effect of improving the simulation accuracy

Pending Publication Date: 2018-01-05
FUZHOU UNIV
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Problems solved by technology

At present, there is no assimilation method that fully meets the actual situation

Method used

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  • Soil temperature and humidity data assimilation method based on EnPF
  • Soil temperature and humidity data assimilation method based on EnPF
  • Soil temperature and humidity data assimilation method based on EnPF

Examples

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specific Embodiment 1

[0069] In specific embodiment 1 of the present invention:

[0070] The land surface hydrological model selects the general land surface model CLM as the model operator to simulate and predict soil moisture. Figures (2-4) respectively show the real-time assimilation of surface soil temperature, daily assimilation of surface soil temperature, and assimilation experiments of assimilating remote sensing data MODIS LST using EnPF to observe soil moisture at the station and MODIS LST. figure 2 It shows that EnPF can significantly improve the simulation accuracy of the model. When the assimilation frequency changes from real-time to once a day, although the assimilation effect becomes worse, it can still improve the simulation results of the model. For the assimilated remote sensing data ( Figure 4 ), the assimilation effect of EnPF was not much different from the effect of assimilating surface soil temperature once a day. The results show that this assimilation method can improv...

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Abstract

The invention provides a soil temperature and humidity data assimilation method based on EnPF. The method comprises the following steps that firstly, the weight thought in the particle filtering is used in ensemble Kalman filtering by analyzing Ensemble Kalman filtering and particle filtering, and dual-sampling ensemble particle filtering is built; based on the magnitude of the weight, the particle degeneracy conditions are judged, if particles are degenerated, the particles which are extremely low in weight are removed, the remaining particles are subjected to weighted averaging, and samplingis conducted again in the analysis stage; if the particles are not degenerated, the predicted values of all the particles and the corresponding weights are reserved, and the predicted values of the particles are updated in the analysis stage; secondly, combined with a land hydrological model, soil temperature and humidity data assimilation is conducted, and the simulated overview of the soil temperature and humidity is summarized. In the method, the weight thought in the particle filtering is used in ensemble Kalman filtering, the distribution of observation errors is not specifically assumed, the land hydrological data assimilation of the soil temperature and humidity is conducted, and the simulating precision of the model is improved.

Description

technical field [0001] The invention belongs to the field of land surface hydrological forecasting and prediction, and in particular relates to an EnPF-based soil temperature and humidity data assimilation method. Background technique [0002] Under the condition of global climate change, the gradual increase of global average temperature in the past century has always been the focus of people's attention. The increase in global average temperature will inevitably lead to changes in soil temperature. However, soil temperature not only affects the growth and production of crops, but also a part of the energy change process of the underlying surface under the climate model and meteorological model. Accurate soil temperature forecast will not only provide a reasonable guidance for crop irrigation and surface heat preservation, but also improve the accuracy of climate and weather forecasts. In addition, changes in soil temperature can also cause a redistribution of soil moistu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCY02A90/10
Inventor 付晓雷余钟波蒋晓蕾鞠琴吕海深金保明
Owner FUZHOU UNIV
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