Equivalence of measurement space solution data fusion and complete fusion
Creators
Description
Many observation systems are operating on space-borne and airborne platforms, as well as from ground-based stations, providing measurements of vertical profiles of atmospheric parameters. When independent measurements of the same profile are available data fusion methods can be used to combine them and exploit all the available information for a more comprehensive and accurate description of the atmospheric state. Several data fusion methods can be used. Among the others, both the measurement space solution data fusion method and the complete fusion method have the remarkable properties of using all the acquired information and of providing results that are independent from a priori information used in the individual retrievals. For this reason, though the two methods use two completely different procedures, it is reasonable to expect that they give the same results and in this paper the rigorous proof of the equivalence of the two methods is given. Therefore, the choice between them is only driven by the advantages of the different implementations. - Highlights: • The equivalence of MSS data fusion and complete fusion is proven. • The MSS data fusion also provides the same results as simultaneous retrieval. • User's choice depends on the implementation advantages of the different methods.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jqsrt.2016.05.019Additional details
Identifiers
- DOI
- 10.1016/j.jqsrt.2016.05.019;
- PII
- S0022-4073(16)30120-0;
Publishing Information
- Journal Title
- Journal of Quantitative Spectroscopy and Radiative Transfer
- Journal Volume
- 182
- Journal Page Range
- p. 71-74
- ISSN
- 0022-4073
- CODEN
- JQSRAE
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48010798
- Subject category
- S98: NUCLEAR DISARMAMENT, SAFEGUARDS AND PHYSICAL PROTECTION;
- Descriptors DEI
- ATMOSPHERIC CHEMISTRY; IMPLEMENTATION; INFORMATION; MATHEMATICAL SOLUTIONS; REMOTE SENSING; SPACE
- Descriptors DEC
- CHEMISTRY
Optional Information
- Copyright
- Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.