First measurement of the small-scale spatial variability of the rain drop size distribution: Results from a crucial experiment and maximum entropy modeling

作者: Ramiro Checa-Garcia

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摘要: The main challenges of measuring precipitation are related to the spatio-temporal variability drop-size distribution, uncertainties that condition modeling and instrumental errors present in situ estimations. This PhD dissertation proposes advances all these questions. relevance spatial distribution for remote sensing measurements hydro-meteorology field studies is asserted by analyzing measurement a set disdrometers deployed on network 5 squared kilometers. study comprises integral rainfall parameters, ZR relationships, variations within one moment scaling method. analyzed applying MaxEnt method comparing it with methods moments maximum likelihood. compressive comparison sampling binning affect actual devices. These analysis further extended several appendices where an error developed new proposed. pre-processing disdrometric also assessed. data-sets evaluated comprise experimental GPM (NASA-JAXA) ground validation satellite mission synthetic distributions generated computationally.

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