Modeling uncertainties for passive microwave precipitation retrieval from space: Evaluation of a case study

Autor: Alessandra Tassa 1, Sabatino Di Michele 2, Alberto Mugnai 1, Frank Silvio Marzano 3, Peter Bauer 2, José Pedro V. Poiares Baptista 4

Publikováno v: IEEE transactions on geoscience and remote sensing 44 (2006): 78–89. doi:10.1109/FGRS.2005.860484
info:cnr-pdr/source/autori:Alessandra Tassa 1; Sabatino Di Michele 2; Alberto Mugnai 1; Frank Silvio Marzano 3; Peter Bauer 2; José Pedro V. Poiares Baptista 4/titolo:Modeling uncertainties for passive microwave precipitation retrieval from space: Evaluation of a case study/doi:10.1109%2FFGRS.2005.860484/rivista:IEEE transactions on geoscience and remote sensing/anno:2006/pagina_da:78/pagina_a:89/intervallo_pagine:78–89/volume:44

Physically based microwave spaceborne techniques for rainfall retrieval are usually trained by simulated cloud-radiation databases (CRDs) composed of cloud profiles and associated brightness temperatures (TBs). When generating the database, the evalu

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https://publications.cnr.it/doc/44888