Reference : Combining variational interpolation (DIVAnd) and neural networks to generate ocean cl...
Scientific congresses and symposiums : Poster
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/2268/234751
Combining variational interpolation (DIVAnd) and neural networks to generate ocean climatologies from in situ observations
English
Barth, Alexander mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Herman, Peter []
Troupin, Charles mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Alvera Azcarate, Aida mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
Beckers, Jean-Marie mailto [Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER) >]
11-Apr-2019
A0
Yes
No
International
European Geosciences Union General Assembly
7-12 April 2019
European Geosciences Union
Vienna
Austria
[en] DIVA ; SeaDataNet ; EMODnet ; Neural network ; Julia
Freshwater and OCeanic science Unit of reSearch - FOCUS
EMODnet
DIVAnd
http://hdl.handle.net/2268/234751
https://meetingorganizer.copernicus.org/EGU2019/EGU2019-14104.pdf
H2020 ; 730960 - SeaDataCloud - SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
EGU2019_DIVAnd_NN.pdfAuthor postprint564.68 kBView/Open

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.