{'fraction_non_alphanumeric': 0.02079722703639515, 'fraction_numerical': 0.0, 'mean_word_length': 5.351648351648351, '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}}
Cloud modeling aids research

Clouds are tremendously complex, dynamic systems that cannot be fully studied by current field methods. Sampling from an airplane, for example, will reveal less than a billionth of the cloud’s volume-time interval. Radar studies show only the precipitation-bearing portions of the cloud. But relatively sparse data from such observations can be interpreted with the help of an overall computer simulation of a cloud. Even without the observational data, simulation helps meteorologists understand the dynamics of cloud formation and precipitation.