Meteorological field data conversion method suitable for HYSPLIT atmospheric diffusion model

Abstract

The invention discloses a meteorological field data conversion method suitable for an HYSPLIT particle Lagrange atmospheric diffusion model, and the method enables the converted meteorological input field data information to be stored in a segmented manner, is high in readability, can achieve the quick combination of segmented data, and generates a meteorological field file needed by the HYSPLIT model; the method can achieve the cross-platform operation, supports LINUX, Windows 7 / 10 and Mac OX platforms, improves the meteorological field file making efficiency required by the HYSPLIT model, increases meteorological field data sources suitable for the model, and the HYSPLIT model is more suitable for practical application of prediction and analysis services.

Description

technical field [0001] The invention relates to the field of meteorological science and technology, in particular to a method for converting and processing meteorological field data suitable for the HYSPLIT particle Lagrangian atmospheric diffusion model. Background technique [0002] Atmospheric diffusion models in the granular Lagrangian framework represented by HYSPLIT, driven by meteorological field data in the corresponding format, such models widely support the simulations related to the atmospheric transport and diffusion of general atmospheric pollutants and harmful substances, as well as the (such as persistent organic compounds, mercury, etc.) on the Earth's surface. Specific applications include tracking and predicting the release of radioactive material, volcanic ash, and wildfire smoke. [0003] However, in terms of operation, this type of model requires meteorological input field data in the corresponding format. For example, HYSPLIT uses ARL format data, whil...

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Problems solved by technology

[0003] However, in terms of operation, this type of model requires meteorological input field data in the corresponding format. For example, HYSPLIT uses ARL format data, while other models mostly use time node segmented grib format data. The model is suitable for meteorological field data format In addition, domestic meteorological data cannot be directly applied to this type of model, and different sources of meteorological data are suitable for different models, causing inconvenience to cross-validation and business use between models

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