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DIVA is a Python-based research environment for atmospheric science with the data and the algorithms already installed. No compilers, no libraries, no infrastructure to build — open your browser and start developing.

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A research environment, preconfigured and ready.

DIVA is a pilot hub to collect, handle and exploit ground-based and satellite data — built with INOE, GRASP SAS, LuftBlick, CNRS-LOA, TROPOS and FMI under ESA.

01 — Direct data access

ACTRIS, AERONET, EARLINET, CLOUDNET and satellite data — collocated and reachable from the environment, no downloads or wrangling required.

02 — Algorithms ready to use

GRASP, GRASP-CCS and NATALI come preinstalled and configured. Import an algorithm, prepare your input, execute — the toolchain is already there.

03 — Collaborative by design

An online, shared workspace with user management, tutorials and worked examples — built to develop synergistic algorithms together.


The data is already in the room.

Ground-based networks and satellite data, collocated and reachable from inside the environment — no portals to scrape, no formats to reconcile.

Network Type Measurements
ACTRIS Research infrastructure In-situ · remote sensing, harmonised QA/QC
AERONET Sun & sky photometers AOD · size distribution · SSA
EARLINET Aerosol lidar β · α · δ vertical profiles
CLOUDNET Cloud profiling Cloud · drizzle · LWC profiles

+ EarthCARE & satellite missions · ECMWF ancillary · harmonised, open data


Consortium

Funded by the European Space Agency — ESA Contract 4000121773 · DIVA-V.

Partner Role
INOE Lead
GRASP-SAS Algorithm development & platform
LuftBlick Pandora spectrometry
CNRS-LOA Photometry & retrieval
FMI Cloud profiling