PDF) Comparison between Optimal Interpolation (OI) and Data-Interpolating Variational Analysis (Diva) for the generation of analysis and error gridded fields
Figure 1 from Approximate and efficient methods to assess error fields in spatial gridding 1 with Diva ( Data Interpolating Variational Analysis ) | Semantic Scholar
Greater Flamingo (
SeaDataCloud - DIVA software and the cloud
WP8 and WP9 developments: Data-Interpolating Variational Analysis (Diva) developments
GitHub - gher-ulg/DIVA: DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.
DIVA - GHER
PHIDIAS-HPC on Twitter: "To process #MarineData PHIDIAS will rely on DIVA, a tool designed by @UniversiteLiege. DIVA stands for Data-Interpolating Variational Analysis and it is used for spatial interpolation of in-situ data
Combining variational interpolation (DIVAnd) and neural networks to generate ocean climatologies from in situ observations
PDF) An innovative and efficient method for interpolation of sea-level anomaly: the Data-Interpolating Variational Analysis (Diva): Application to the Mediterranean Sea | Charles Troupin - Academia.edu
PDF) 📄 Data-Interpolating Variational Analysis (DIVA) software : recent development and application
Generating ocean climatologies from in situ observations
PDF) Application of the Data-Interpolating Variational Analysis (DIVA) to sea-level anomaly measurements in the Mediterranean Sea
Data-Interpolating Variational Analysis (DIVA)
SeaDataCloud - DIVA software and the cloud
An innovative and efficient method for interpolation of sea-level anomaly: the Data-Interpolating Variational Analysis (Diva)
WoRMS - World Register of Marine Species
DIVA & DIVAnd interpolation tools
Recent methods for Data Interpolation: DINEOF and DIVA
DIVA - GHER
Application of the Data-Interpolating Variational Analysis (DIVA) to sea-level anomaly measurements in the Mediterranean Sea
DIVA - SeaDataNet
European Marine Observation and Data Network LOT NO
European Marine Observation and Data Network LOT NO