{'fraction_non_alphanumeric': 0.019071310116086235, 'fraction_numerical': 0.013266998341625208, 'mean_word_length': 6.058479532163743, '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}}
Temporal extension of meteorological records for hydrological modelling of Lake Chad Basin (Africa) using satellite rainfall data and reanalysis datasets

The inability to estimate reliable meteorological data for the hydrological modelling of the Lake Chad Basin (LCB) over the present decade hinders the use and evaluation of a wide range of hydrological information that can be extracted from satellite altimetry, gravitometry, and imagery. This is mainly due to the sparse distribution of gauging stations and difficulty in data assessment. Therefore, two key chronological records of rainfall and potential evapotranspiration (PET) were constructed for flow simulation modelling in the LCB. Rainfall estimates were extracted from two satellite‐based precipitation products for the period 1998–2007 and combined with available chronological rainfall data. Similarly, PET records were derived over the period 1948–2007 using the meteorological variables extracted from reanalysis datasets, and the Hargreaves method. Subsequently, they were evaluated, first by pairwise comparison against available gridded datasets, and second by analyzing the error propagated through a distributed hydrological model.