Numerical weather prediction model calculation method

Abstract

The invention discloses a numerical weather prediction model calculation method based on urban canopy anthropogenic heat. The method comprises the following steps: calculating building density according to urban street canyon average building height and average street canyon width obtained through measurement; determining a maximum value of the anthropogenic heat according to the obtained buildingdensity; obtaining anthropogenic heat according to the maximum value of the anthropogenic heat and a proportionality coefficient; calculating anthropogenic heat flux according to the anthropogenic heat, an adjustable function, height where a test point is perpendicular to the ground, air density and thermal conductivity of the test point; and adding the obtained anthropogenic heat flux to a heatterm Q of a capacity balance equation in the numerical weather prediction model. By adding the anthropogenic heat flux to the heat term of the capacity balance equation in the numerical weather prediction model, the method effectively solves the problem that since the numerical weather prediction model is poor in simulating urban temperature, in most cases, urban temperature is underestimated, andallows the numerical weather prediction model to be able to simulate urban temperature more accurately.

Description

technical field [0001] The invention relates to the field of numerical weather prediction models, in particular to a calculation method for numerical weather prediction models based on urban canopy artificial heat. Background technique [0002] With the intensification of global urbanization, the types of surface land use are undergoing profound changes. Cities are areas where human production and living activities are highly concentrated. In these activities, a large amount of energy is consumed, and a large amount of heat emission is generated, that is, the anthropogenic heat emission of the urban canopy. In the physical process of heat balance, the share of man-made heat is so large that it cannot be ignored. Taking the heat dissipation of air conditioners as an example, suppose there is a 10-story building with a size of 200m×50m, and a 1500W air conditioner is installed in each room (20m×10m). Assuming that the heat engine efficiency is 40% under the rated power, and t...

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Problems solved by technology

[0003] Numerical weather prediction models have been widely used in research fields such as weather-related power load forecasting and new energy power forecasting. The simulation ability of air temperature is poor, and the urban air temperature will be underestimated in most cases

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