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Leveraging Highly Accurate Data in Diagnosing Errors in Atmospheric Models
Author(s) -
S. S. Leroy,
Mark J. Rodwell
Publication year - 2014
Publication title -
bulletin of the american meteorological society
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.367
H-Index - 197
eISSN - 1520-0477
pISSN - 0003-0007
DOI - 10.1175/bams-d-12-00143.1
Subject(s) - data assimilation , errors in variables models , numerical weather prediction , tropopause , climate model , confusion , meteorology , environmental science , scale (ratio) , computer science , forcing (mathematics) , observational error , troposphere , climatology , econometrics , climate change , mathematics , machine learning , geography , psychology , cartography , psychoanalysis , ecology , geology , biology

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