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PDF) Comparison between Optimal Interpolation (OI) and Data-Interpolating Variational Analysis (Diva) for the generation of analysis and error gridded fields
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
WoRMS - World Register of Marine Species
SeaDataCloud - DIVA software and the cloud
PDF] pydiva2d: a python interface to the DIVA interpolation software | Semantic Scholar
WP8 and WP9 developments: Data-Interpolating Variational Analysis (Diva) developments
DIVA - GHER
SeaDataCloud - DIVA software and the cloud
Generating ocean climatologies from in situ observations
DIVA - GHER
Figure 1 from Approximate and efficient methods to assess error fields in spatial gridding 1 with Diva ( Data Interpolating Variational Analysis ) | Semantic Scholar
Approximate and Efficient Methods to Assess Error Fields in Spatial Gridding with Data Interpolating Variational Analysis (DIVA) in: Journal of Atmospheric and Oceanic Technology Volume 31 Issue 2 (2014)
Data-Interpolating Variational Analysis (DIVA) software : recent development and application
DIVA in Jupyter notebooks
DIVA - SeaDataNet
Data-Interpolating Variational Analysis (DIVA)
PDF) 📄 Data-Interpolating Variational Analysis (DIVA) software : recent development and application
GitHub - gher-ulg/DIVA: DIVA (Data-Interpolating Variational Analysis) is a software tool dedicated to the spatial interpolation of in situ data in oceanography.
GitHub - gher-ulg/Diva-User-Guide: User Guide of the Data Interpolating Variational Analysis (Diva) software tool
Figure 1 from Approximate and efficient methods to assess error fields in spatial gridding 1 with Diva ( Data Interpolating Variational Analysis ) | Semantic Scholar
Northeast Atlantic Ocean - DIVA 4D 6-year analysis of Water body silicate 1971/2020 v2021
DIVA - GHER
European Marine Observation and Data Network LOT NO
Recent methods for Data Interpolation: DINEOF and DIVA