Data analysis; DIVA; Spatial interpolation; Variational Inverse Method; Data-Interpolating Variational Analysis; Statistical Modelling; In Situ Measurements; Climatology; Data Products; Web-Based Visualization; Web Map Service
Abstract :
[en] The sparsity of observations poses a challenge common to various ocean disciplines. Even for physical parameters where the spatial and temporal coverage is higher, current observational networks undersample a broad spectrum of scales. This situation is generally more severe for chemical and biological parameters because such sensors are less widely deployed. The present chapter describes the analysis tool DIVA (Data-Interpolating Variational Analysis) which is designed to generate gridded fields from in situ observations. DIVA has been applied to various physical (temperature and salinity), chemical (concentration of nitrate, nitrite and phosphate) and biological parameters (abundance of a species). The chapter also shows the technologies used to visualize the gridded fields. Visualization of analyses from in situ observations provide a unique set of challenges since the accuracy of the analysed field is not spatially uniform as it strongly depends on the location of the observations. In addition, an adequate treatment of the depth and time dimensions is essential.
Research Center/Unit :
FOCUS - Freshwater and OCeanic science Unit of reSearch - ULiège
Disciplines :
Earth sciences & physical geography
Author, co-author :
Barth, Alexander ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Watelet, Sylvain ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Troupin, Charles ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Alvera Azcarate, Aida ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Beckers, Jean-Marie ; Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > GeoHydrodynamics and Environment Research (GHER)
Language :
English
Title :
Analysis of Ocean in Situ Observations and Web - Based Visualization: From Individual Measurements to an Integrated View
Publication date :
2017
Main work title :
Oceanographic and Marine Cross-Domain Data Management for Sustainable Development
Editor :
Diviacco, Paolo
Leadbetter, Adam
Glaves, Helen
Publisher :
IGI Global, Hershey, United States
ISBN/EAN :
9781522507000
Pages :
345-371
Peer reviewed :
Peer reviewed
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif
FP7 - 283607 - SEADATANET II - SeaDataNet II: Pan-European infrastructure for ocean and marine data management
Name of the research project :
EMODNET Chemistry, SeaDataNet II
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique DG MARE - Commission Européenne. Direction Générale des Affaires maritimes et de la Pêche UE - Union Européenne CE - Commission Européenne
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