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A self-adaptive dynamic fusion method of multi-source precipitation on satellite and ground

A fusion method and self-adaptive technology, applied in the fields of hydrology and meteorology, can solve the problems of low accuracy of satellite precipitation products and limited inversion ability of solid-state precipitation, and achieve the effect of stable and reliable data source, guarantee of objective rationality, and clear function relationship.

Active Publication Date: 2021-10-19
HOHAI UNIV
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Problems solved by technology

Satellite quantitative precipitation estimation has the advantages of wide coverage and relatively continuous observation time. However, due to the limitations of remote sensing detection instruments and inversion algorithms, the accuracy of satellite precipitation products is relatively low, and the inversion ability for solid precipitation is limited.

Method used

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  • A self-adaptive dynamic fusion method of multi-source precipitation on satellite and ground
  • A self-adaptive dynamic fusion method of multi-source precipitation on satellite and ground
  • A self-adaptive dynamic fusion method of multi-source precipitation on satellite and ground

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Embodiment Construction

[0066] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0067] Such as figure 1 As shown, a kind of satellite ground multi-source precipitation self-adaptive dynamic fusion method provided by the present invention comprises the following steps:

[0068] Step 1, obtain the time-invariant factors of the coarse resolution (Coarse Resolution, CR) and the fine resolution (Fine Resolution, FR) of the watershed, mainly including: DEM (DEM CR 、DEM FR ), slope (Slope CR 、Slope FR ), Hand Index (Hand CR 、Hand FR ), roughness (SR CR 、SR FR ); the time-varying factors of coarse resolution and fine resolution are: NDVI(NDVI CR 、NDVI FR ), wind speed (WS CR 、WS FR ), land surface temperature (LST CR 、LST FR ), scattering index (SI CR 、SI FR ), microwave polarization index (PD CR 、PD FR ); the satellite number is represented by m, m=1, 2, ..., 5 represent GPM, TRMM, CMORPH, PERSIANN, PERSIANN_CDR ...

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Abstract

The invention discloses a self-adaptive dynamic fusion method of satellite-earth multi-source precipitation. and roughness; time-varying factors include: NDVI, wind speed, surface temperature, scattering index, and microwave polarization index; downscale each satellite to obtain fine-resolution precipitation for each satellite; construct an adaptive dynamic Bayesian framework , through the distribution conversion of precipitation error and the optimization of precipitation probability density function parameters to calculate the optimal weight of each satellite in the grid where the measured site is located; to calculate the optimal weight of each satellite’s fine-resolution grid, each satellite’s fine-resolution The weighted sum of the grid precipitation is used to obtain the fused precipitation. The invention fuses station precipitation and multi-satellite precipitation through an adaptive dynamic fusion method to obtain a fine-resolution fusion precipitation product, and provides data support for the input of a refined hydrological model.

Description

technical field [0001] The invention belongs to the technical field of hydrology and meteorology, and in particular relates to a method for realizing fusion of satellite-earth multi-source precipitation based on obtaining dynamic weights in time and space. Background technique [0002] China is a country with frequent flood disasters, and hydrological model is an important means to solve flood disasters. Precipitation is the most critical input source of hydrological models, and the accuracy and timeliness of precipitation directly affect the accuracy and reliability of simulation results. [0003] At present, the methods of obtaining precipitation data mainly include ground observation, satellite and radar quantitative precipitation estimation, and model quantitative precipitation forecasting. For a long time, the routine observation of precipitation has mainly relied on the observation stations deployed on the surface, and the limited observation results represent the rea...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/16G06N7/00G01W1/10
CPCG06F17/16G01W1/10G06N7/01G01W1/14
Inventor 张珂晁丽君刘林鑫
Owner HOHAI UNIV
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