{'fraction_non_alphanumeric': 0.013736263736263736, 'fraction_numerical': 0.0, 'mean_word_length': 5.075, '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}}
Sensitivity analysis of snow parameters inversion procedure to the passive microwave mixed-pixel patterns

The snow coverage and physical parameters play a special role in the global water and energy budget study. The passive microwave brightness temperatures of snowpack depend not only on the snow depth or snow water equivalent, but also the snow fraction and possible vegetation canopy. In this paper, we established a mixed model for simulating the dry snow radiation, based on the advancements of recent years. Through simulation analysis, it is found that the underestimation of snow fraction will cause the snow depth or snow water equivalent to be overestimated. And the error increases with the increase of snow depth.