{'fraction_non_alphanumeric': 0.02304964539007092, 'fraction_numerical': 0.012411347517730497, 'mean_word_length': 4.942105263157894, '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}}
Determination of Monthly Mean Humidity in the Atmospheric Surface Layer over Oceans from Satellite Data

Abstract A simple statistical technique is described to determine monthly mean marine surface-layer humidity, which is essential in the specification of surface latent heat flux, from total water vapor in the atmospheric column measured by space-borne sensors. Good correlation between the two quantities was found in examining the humidity sounding from radiosonde reports of mid-ocean island stations and weather ships. The relation agrees with that obtained from satellite (Seasat) data and ship reports averaged over 2° areas and a 92-day period in the North Atlantic and in the tropical Pacific. The results demonstrate that, by using a local regression in the tropical Pacific, total water vapor can be used to determine monthly mean surface layer humidity to an accuracy of 0.4 g kg−1. With a global regression, determination to an accuracy of 0.8 g kg−1 is possible. These accuracies correspond to approximately 10 and 20 W m−2 in the determination of latent heat flux with the bulk parameterization method, prov...