New • First month free
Boost your atmospheric insights
with AI-assisted visualization.
AtmosViz Pro makes atmospheric science workflows seamless and fast — from ingest to publication-ready figures. Drag-drop datasets, build a pipeline, and export beautiful maps, sections, and time series in minutes.
From data to figure — in minutes
Ingest
Drag-drop NetCDF/HDF/GRIB/CSV or connect cloud buckets. Use the Atmospheric Data Navigator to find sources instantly.
Build
Visual pipeline: regrid, collocate, compute anomalies, blend layers, annotate. AI suggests the next best step using ADR-0003.
Publish
Export publication-ready figures (300–600 dpi) with captions and citation snippets. Share permalinks for reproducibility.
Why teams choose AtmosViz Pro
Purpose-built for meteorology and climate: everything you need to go from raw data to figures that make the paper.
Science-grade validation
- WPC surface analysis fronts reproduced via MetPy path effects.
- CALIPSO/CloudSat profiles cross-checked with AERONET time series.
- GOES-ABI dust RGB overlaid with HYSPLIT trajectories and NOAA HMS smoke.
- ADR-0003 modules: data-oriented ingestion + plot-oriented recipes.
Connected to your ecosystem
Browse datasets with Atmospheric Data Navigator, and explore global layers with WorldViz — both launch directly inside AtmosViz Pro.
Atmospheric Data Navigator
Discover satellite, model, reanalysis, and visualization sources fast.
WorldViz
Fast global map viewer for layers, overlays, and quick looks.
Simple, fair pricing
First month free on all plans. Cancel anytime.
Verified academic email.
- All visualization features
- Sample datasets included
- Community support
For independent researchers & professionals.
- Publication-ready exports (PNG/SVG/PDF)
- Batch runs & recipes
- Priority support
Need labs/teams or extra storage/egress? Contact us.
Frequently asked questions
30 days of full features with sample datasets. No credit card required for the demo; subscription needed to export in high-res.
Yes. Upload NetCDF/HDF/GRIB/CSV or connect to cloud storage. Data is scanned and processed in a sandboxed environment.
Every figure stores a pipeline recipe and environment metadata so you can re-run or share with collaborators.
Export captions with data source attributions and method summaries (ADR-0003) to paste into manuscripts.