{'fraction_non_alphanumeric': 0.0136986301369863, 'fraction_numerical': 0.0, 'mean_word_length': 5.724137931034483, '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}}
Evaluation and Comparison of Snow Reflectance Models

The inversion of snow properties with optical remote sensing often relies on snow reflectance modelling. In this study, snow reflectance models including Mie-DISORT, Mie-Mishchenko and ART and the model based on bicontinuous microstructure are evaluated and compared with in situ measurements. Results show the bicontinuous microstructure based reflectance model can accurately simulate spectral albedo of clean and sooty snow, and have best performance on directional reflectance of snow surface compared with other three models.