Open AccessMIPAS Level 2 Processor Prototype: from validation to operation
Author(s) -
Marc Bernau,
H. Weber,
Michael Schmitt,
Sven Bartha,
R. Geßner
Publication year - 2014
Publication title -
annals of geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 60
eISSN - 2037-416X
pISSN - 1593-5213
DOI - 10.4401/ag-6341
Subject(s) - computer science , software , set (abstract data type) , raw data , field (mathematics) , data set , data validation , component (thermodynamics) , data mining , verification and validation , key (lock) , real time computing , database , programming language , artificial intelligence , operating system , statistics , physics , mathematics , pure mathematics , thermodynamics
In the research field of atmospheric chemistry a central question for acquired data sets is about validation. Have the data been validated to be useful for science? Has the data set been compared to other data sets? If deviations occur, which cause could be identified? Ultimately, two causes are possible when the same scene is observed: either the acquired raw data set is erroneous (hardware problem) or the data processing infers erroneous information (software problem). In order to make sure that the software works as expected, software validation plays a key role in the overall data set validation campaigns. This paper deals with operational software validation, which is an important component of the entire scientific validation chain. [...