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Regional climate mode dynamic downscaling factor error correction method

An error correction and downscaling technology, applied in the field of dynamic downscaling element error correction of regional climate models, which can solve the problems of inability to take into account the correction ability and error.

Inactive Publication Date: 2019-11-22
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, a method for correcting the errors of dynamic downscaling elements of regional climate models provided by the present invention solves the problem that the existing QM quantile mapping method cannot take into account the common types of diurnal errors in the dynamic downscaling elements of regional climate models. Problems of Correction Capability for Precipitation and Extreme Precipitation Events

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  • Regional climate mode dynamic downscaling factor error correction method
  • Regional climate mode dynamic downscaling factor error correction method
  • Regional climate mode dynamic downscaling factor error correction method

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[0034] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0035] Such as figure 1 As shown, an error correction method for dynamical downscaling elements of regional climate models includes the following steps:

[0036] S1. Based on the actual observed data sequence y of climate dynamic downscaling elements, the dynamic downscaling result sequence x of climate elements simulated by the regional climate model RCM Perform threshold correction to obtain the simulated sequence x of n...

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Abstract

The invention discloses a regional climate mode dynamic downscaling factor error correction method. A mixed distribution function is constructed by using Gamma distribution and GEV distribution; multi-parameter factors are set, the problem that an existing QM quantile mapping method cannot give consideration to correction capacity of common type daily precipitation and extreme precipitation eventsin dynamic downscaling elements of a regional climate mode is solved. Parameter optimization is carried out in a 95% confidence space by using a genetic algorithm, so that error correction indexes with excellent relative error indexes MRE, correlation coefficients CORR and Nash efficiency coefficients NSE can be obtained.

Description

technical field [0001] The invention relates to the field of hydrometeorology, in particular to a method for correcting errors of dynamic downscaling elements in regional climate models. Background technique [0002] Usually, the dynamical downscaling results of climate elements (such as precipitation and air temperature) in regional climate models have widespread errors compared with observations, which undermines their direct application in hydrological models. Therefore, the climate prediction results of regional climate models usually need to be corrected for errors before being applied to the simulation of hydrological processes. [0003] In recent years, the commonly used error correction methods for dynamic downscaling elements of regional climate models include Delta method, multiple linear regression method, similarity method, local intensity scaling method, QM quantile mapping method, etc. has good results, but there are significant differences in the ability to c...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26G06N3/12
CPCG06N3/126G06Q10/04G06Q50/26Y02A90/10
Inventor 肖伟华黄亚侯保灯周毓彦杨明祥鲁帆王贺佳崔豪高斌
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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