DataNET in action.
Six layers of the data fusion engine — climate, land, water, aquifers, quality, wells. What feeds every MAGNET4WATER simulation.
Coming soon. Recorded sessions for this layer of DataNET are being prepared and will appear here as they're ready.
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Lead sentence.
More detail.
DataNET is where the steering loop begins — fuse and see the system before you simulate, then hand the data to the models. Clarity first; simulation follows.
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DataNET · Climate
Global climate and weather, fused
NASA, NOAA, NLDAS, GLDAS — global climate and weather datasets fused into a single addressable layer. Daily precipitation, temperature, humidity, wind, solar radiation, evapotranspiration. Two recorded sessions of climate-data fusion.
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DataNET · Land & Soil
Topography, land cover, and soil
Topography from DEMs, land cover from satellites, soil hydraulic properties from STATSGO/SSURGO and global soil maps. The surface and subsurface immediately below it. Seventeen recorded sessions of land and soil data fusion.
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DataNET · Water & Ecosystems
The living water layer
Surface waters, wetlands, lakes, streams, drainage networks, riparian zones, vegetation indices. NHD, USGS hydrography, MODIS NDVI, USDA crop maps, all unified geospatially. Twenty-three recorded sessions of water and ecosystem data fusion.
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DataNET · Aquifer
Aquifer architecture and lithology
Geology and aquifer properties from state and federal surveys — bedrock, alluvium, sedimentary basins, fractured rock systems. The subsurface architecture that controls groundwater flow, fused into 3D-ready layers. Ten recorded sessions of aquifer data fusion.
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DataNET · Water Quality
Water quality and contamination data
USGS NWIS water-quality data, EPA STORET, regulated water-supply records, contamination plumes from Superfund and state programs. The chemistry layer — what's dissolved, what's contaminated, what needs cleanup. Seventeen recorded sessions of water-quality data fusion.
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DataNET · Wells
Wells, water levels, and lithology logs
Well databases — USGS NWIS, state databases, oil and gas borehole records, water-supply wells. Locations, depths, screen intervals, static water levels, lithology logs. Thirty-four recorded sessions of well-data fusion.
What you're looking at.
For decades, the slowest part of every water modeling project was getting the data. Hunting down DEMs, soil maps, hydrography, climate records, well logs, water-quality measurements — from a dozen agencies in a dozen formats — and then aligning them all in a single coordinate system. DataNET inverts that. The data is already fused. The Earth is already modeled. You just zoom in.
Above, a library of recorded sessions covering six layers of the global base model — climate and weather, land and soil, water and ecosystems, aquifer and lithology, water quality and contamination, and wells with static water levels. This is the foundation underneath every IGW-NET, StormNET, SwaNET, and ConduitNET simulation.
Ready to see your data?
Every layer above is queryable on demand, anywhere on Earth. Open the platform, draw a box, and watch the data assemble itself — no downloads, no format conversion, no coordinate-system gymnastics.