Climate information acquisition processing method and system and storage medium

Abstract

The invention belongs to the technical field of information processing, and discloses a climate information acquisition processing method and system, and a storage medium, and the method comprises thesteps: converting coarse-resolution monthly average data in an earth system mode into global climate background field grid point data through longitude and latitude conversion, grid conversion, projection conversion and adjacent point interpolation; carrying out the localized configuration through a regional climate mode WRF, and continuously combining and optimizing a physical parameterization scheme and a numerical mode resolution; integrating the WRF mode by using a forced field output by the earth system mode, and outputting a local meteorological element simulation field with the horizontal resolution of 1km. According to the method, regional weather and climate events under local complex terrain conditions are finely forecasted and predicted, and reliable simulation evaluation and prediction can be performed on the complex terrain and meteorological conditions on the underlying surface by using 1km-level high-resolution data output in a numerical mode.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a processing method, system and storage medium for obtaining climate information. Background technique [0002] At present, the downscaling methods mainly include dynamic downscaling of global numerical models with high resolution or mixed resolution, and the dynamical downscaling method can be realized by the simulation of regional climate models. Regional models are widely used in the field of climate research because of their high resolution, which can reasonably describe the current climate and are widely used in global warming research. Because the resolution of the regional model is significantly higher than that of the global model, the ability of the regional model to simulate local weather and climate has been significantly improved. High-quality and accurate climate services are inseparable from climate field data with high temporal and spati...

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Problems solved by technology

[0005] (1) Although the global climate reanalysis data can provide grid data as a forcing field to drive regional climate models, all grid data are based on the assimilated data of historical observation data in the past 30 to 50 years, so they cannot predict future weather and climate Event Forecast Forecast

[0006] (2) The horizontal resolution of the reanalysis data of the global climate model is relatively coarse (2.5×2.5° or 1×1°), and the horizontal resolution is about 250km or 100km. Small-scale (below 10km) local weather and climate cannot make accurate predictions, so the results of global climate models cannot be used to make high-resolution simulations and predictions of meteorological information under local complex terrain conditions

[0007] (3) Although the Earth System Model can provide global grid-point meteorological data for the next 50 to 100 years, the horizontal resolution is also relatively coarse (2.5×2.5°), and there is currently a lack of a set of dynamic downscaling of the Earth that is generally applicable to regional models. Methods and techniques for system model data, especially generating driving fields for regional climate models are difficult

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