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CLIMATE & ENVIRONMENT

Big Data.

Climate models generate petabytes. Sensor networks stream continuously. Satellite imagery arrives daily. You need AI-powered analysis that scales — with governance that enables collaboration without compromising data integrity.

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Climate science is a data problem. And a collaboration problem.

THE CHALLENGE

Multi-institution collaborations. Terabytes of model output. Decades of observational data. Multiple funding agencies with different requirements.

The question-answering machine for your climate data.

Massive data. Complex collaboration. Reproducible results.

Scale to your data — From gigabytes to petabytes. Same environment, same tools, more compute.

Multi-institution collaboration — Share analyses without sharing credentials. Governed access across organizations.

Reproducibility built-in — Containerized environments. Version-controlled notebooks. No more 'worked on my cluster.'

AI-powered analysis — Turn your climate scientists into 10x data analysts. Natural language queries on model output.

Any data source — NetCDF, GRIB, satellite imagery, station data, reanalysis. Query anything, build any visualization.

Grant compliance — Demonstrate data governance for NSF, DOE, NOAA, and international funding agencies.

EARTH SCIENCE DATA

  • Climate model output (CMIP, CESM, WRF)
  • Satellite and remote sensing data
  • Observational networks and station data
  • Reanalysis products (ERA5, MERRA-2)
  • Your institution’s data archives
  • “Show me temperature anomalies for 2024 vs 1990-2020 baseline”
  • “Which CMIP6 models best match observed precipitation in the Amazon?”
  • “Generate a time series of Arctic sea ice extent by month”

Climate & Environmental Capabilities

01

Climate Modeling

Model output analysis. Inter-model comparison. Bias correction.

Climate Modeling
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02

Remote Sensing

Satellite imagery processing. Land use change detection. Vegetation indices.

Remote Sensing
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03

Observational Networks

Station data QC. Network analysis. Gap filling.

Observational Networks
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04

Ecosystem Modeling

Carbon cycle analysis. Ecosystem services. Biodiversity metrics.

Ecosystem Modeling
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05

Air & Water Quality

Pollution monitoring. Source attribution. Trend analysis.

Air & Water Quality
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06

Climate Risk

Hazard assessment. Vulnerability mapping. Adaptation planning.

Climate Risk
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