Snow data products for commercial and research applications

Our technology

In SnowData we aim at generating high-accuracy snow equivalent data products by combining models, satellite imagery and machine learning.

High resolution mathematical modeling

We use complex snow models forced by state of the art meteorological datasets to generate a prior high resolution array of snow states for any watershed in the world.

Data distribution

We generate easily-distributed datasets in Geotiff format for commercial and research uses. Our datasets include uncertainty bounds and are properly documented for maximum transferability.

Assimilation of satellite imagery

We then use satellite imagery from Landsat, Sentinel and other satellites, and incorporate these data streams through a Machine Learning algorithm.

Hydrological forecasting

With a database of more than 40 years of high resolution snow products, we are able to generate accurate forecasts for gauged and ungauged watersheds.

Quick deployment and useability

Near real-time estimates

Any watershed size

Snow Equivalent, Depth, and other states

Validated in-situ with +4000 data points

Direct integration with new imagery

Secondary forecast products available

Our Team.

We are a group of passionate hydrological scientists, with more than 50 years of joint experience in hydrological modeling, meteorological processes, remote sensing and data assimilation. Snow Data represents a combination of several lines of research.