Satellite-derived Snow Water Equivalent

Name: Satellite-derived Snow Water Equivalent (SWE) and related near real-time geospatial hydrology datasets built for hydropower forecasting and trading: basin-scale SWE time series produced through the 18-month DeFROST4Hydropower consortium across 12 hydrologic basins in Switzerland and France, benchmarked against independent snow references from Canada, Norway and the USA, plus a web app carrying SLF (World Snow Research Center) snow data and downloadable technical/evaluation reports.
Creator: Wegaw

WEGAWManage supplier listing

Satellite-derived Snow Water Equivalent (SWE) and related near real-time geospatial hydrology datasets built for hydropower forecasting and trading: basin-scale SWE time series produced through the 18-month DeFROST4Hydropower consortium across 12 hydrologic basins in Switzerland and France, benchmarked against independent snow references from Canada, Norway and the USA, plus a web app carrying SLF (World Snow Research Center) snow data and downloadable technical/evaluation reports.

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Coverage

Universe, instruments and categories.

Industry: Electric UtilitiesApplication Software
Instruments: commoditiesderivativesequities

Dataset card

Type: not stated
Format: Multimodal: gridded/time-series satellite SWE and hydrological layers delivered through a web application and API-style feeds, plus downloadable technical reports and evaluation datasets used inside third-party rainfall-runoff models
Volume: est. low millions of records at present: 12 hydrologic basins x daily-to-subdaily SWE and hydrological layers over the observation period, each basin disaggregated into elevation bands/snow pixels; the cross-comparison studies add independent reference series for Canada, Norway and the USA. The upstream satellite archive it is derived from is far larger, but the licensable Wegaw-labelled slice is basin-scoped.
Users: est. 10-40 institutional clients (a 7-person Lausanne firm with ~$2.6M raised and ~$2.7M revenue, selling basin-level SWE/hydrology products to European hydropower operators and traders through a demo funnel; the webinar audience was a niche international hydropower community)
History: 6 years
Update frequency: not stated
Growth: Active — published webinar series and consortium project pages, a Book-a-Demo funnel, and a stated revenue run-rate (~$2.7M) on a 7-person team; growth is reference-driven (named utility Alpiq and modelling partner Hydrique Engineers) rather than volume-led
Launched: not stated
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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