{'fraction_non_alphanumeric': 0.015625, 'fraction_numerical': 0.001736111111111111, 'mean_word_length': 5.300546448087432, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Research on dynamic visualization of environmental wind field based on OSGEarth-WRF model

At present, the rapid development of urbanization in China has brought about the relative shrinkage of agriculture. The distribution of cultivated land and population is not balanced, and how to maximize agricultural output value is the main concern. Wind is an important factor in the growth and production of crops. However, in the simulation of wind field analysis, the traditional NetCDF format wind field reanalysis data has too large a time series interval, is relatively single, and cannot be dynamically displayed in a short time series, and the arrow method will cause ambiguity. To solve this problem, based on the 3D virtual earth, this paper proposes a new 2D wind field dynamic visualization method combining the OSGEarth and WRF model, which realizes the short-sequence dynamic visualization simulation of the wind field in the geographical environment and solves the ambiguity problem of the arrow method. It has important guiding significance for mastering the spatial geographic information of agricultural areas and seed dispersal forecasting.