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who we serve

Built for institutions that depend on
atmospheric & hydrological data.

Forecasting agencies, water authorities, research labs, and emergency operations — every engagement adapts to your data, infrastructure, and operational reality.

§ 01  ·  primary partners

Where AtmoScale does the heaviest lifting.

PRIMARY

Modernize decades of national radar archives. Build cloud-native operational platforms that scale with your mission — without abandoning existing infrastructure.

  • National radar archive ingest & harmonization
  • Operational nowcasting and QPE pipelines
  • Cross-vendor format unification (NEXRAD, ODIM, Sigmet, IRIS, Vaisala)
  • Sovereign cloud or on-prem deployments
PRIMARY

Analysis-ready, AI-ready datasets across radar, satellite, and model output. Spend your time on the science — not on parsing binary formats from 1998.

  • Cloud-optimized Zarr / Icechunk data cubes
  • ML / AI training-ready archives
  • Reproducible workflows with traceable provenance
  • Open formats — your data stays portable, forever
PRIMARY

Precipitation monitoring, flood forecasting, and basin-scale hydrology — grounded in reliable, traceable radar-derived precipitation products.

  • Quantitative Precipitation Estimation (QPE)
  • Flood-risk nowcasts at sub-basin resolution
  • Multi-decade rainfall climatologies
  • Integration with hydrological models you already run
§ 02  ·  we also work with

Adjacent missions, same infrastructure.

ALSO

Civil Protection & Disaster Risk

Real-time storm intelligence and high-resolution historical risk analysis to support emergency operations and post-event review.

ALSO

Aviation Authorities

Radar-derived hazard products — convective tracking, wind shear, hail signatures — for air navigation safety and operational planning.

ALSO

Regional & International Programs

Cross-network interoperability for multi-country observing systems where vendors, formats, and protocols never quite line up.

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Not sure where you fit?

If your institution depends on atmospheric or hydrological observations to make decisions, we probably already work with someone like you. Start the conversation.