Satellite rainfall and actually measured rainfall error partition fusion correction method

A technology of satellite and error, which is applied in the field of regional fusion correction of satellite rainfall and measured rainfall error, can solve the problems of satellite monitoring rainfall data such as large error, poor accuracy, and inability to be directly applied, so as to improve overestimation or underestimation and improve accuracy , the effect of high spatio-temporal resolution
CN110543971AActive Publication Date: 2019-12-06HOHAI UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HOHAI UNIV
Publication Date
2019-12-06

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Abstract

The invention discloses a satellite rainfall and actually measured rainfall error partition fusion correction method, and belongs to the technical field of satellite rainfall data precision correction. The related correction method relates to values of each station and each moment, can effectively solve the problems of excessive estimation or underestimation, missing report in a small-value area and the like of satellite rainfall monitoring, and remarkably improves the precision of the satellite rainfall data precision correction method. The correlation between the hourly satellite rainfall data corrected by the method and the hourly actually measured rainfall data reaches 0.9 or above, which meets the flood forecasting precision requirement, and continuous observation of large-range rainfall can be achieved due to wide space coverage and high temporal-spatial resolution, and large-area continuous rainfall distribution is obtained, and the method can be better used in the fields of hydrology and the like, and has a good application prospect in areas with sparse ground stations and even without data.
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Description

technical field

[0001] The invention belongs to the technical field of precision correction of satellite rainfall data, and in particular relates to a method for regional fusion correction of errors of satellite rainfall and measured rainfall. Background technique

[0002] One of the key links in the water cycle is precipitation, which has a significant impact on the spatial allocation of water resources due to its high spatiotemporal heterogeneity. High-quality rainfall data is not only a prerequisite for ensuring the accuracy of flood forecasting, but also plays a vital role in fields such as meteorology, hydrology and agricultural production. At present, the traditional source of rainfall data is the observation of rainfall stations. However, due to the small distribution density and uneven spatial distribution of rainfall stations, it is difficult to ensure the accuracy of the spatial structure of precipitation. Therefore, it is necessary and important to improve the ac...

Claims

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