CRS transformation and reprojection
Move data between geographic and projected coordinate reference systems while preserving the geometry, extent, and metadata the destination requires.
GIS & Earth-Data Transformation
Geospatial Regridding
Transform weather, climate, satellite, and environmental data across coordinate systems, grids, resolutions, and scientific formats—without losing the physical meaning that makes the data useful.
GIS consultingGeospatial regriddingCRS transformationSpatial validation
Capabilities
Analysis-Ready Data
The correct GIS operation depends on the variable, geometry, intended use, and acceptable error. Every engagement begins with those constraints.
Geospatial regridding and resampling
Transform rectilinear, curvilinear, point-based, HEALPix, and other Earth-data geometries across resolutions and spatial extents.
Spatial interpolation and remapping
Select nearest-neighbor, bilinear, conservative remapping, or Elliptical Weighted Averaging (EWA) according to whether a field is continuous, categorical, conservation-sensitive, or sampled along satellite swaths.
Scientific format engineering
Build coherent workflows around GRIB, BUFR, NetCDF, HDF, raster, point, and related meteorological or geospatial data sources.
Quality assurance and provenance
Check for missing data, coordinate errors, edge artifacts, conservation changes, and other failures, then document sources, assumptions, and transformations.
Repeatable data pipelines
Turn a one-off GIS procedure into a documented scientific pipeline that can be reviewed, rerun, and integrated with analysis, modeling, or operations.
Where it applies
GIS for Earth Science
Generic GIS tools can move pixels and coordinates. Scientific regridding also has to respect units, masks, categories, conservation, time, vertical coordinates, and the assumptions behind the source field.
- Numerical weather prediction and AI weather workflows
- Satellite, radar, and remote-sensing data preparation
- Climate, hydrology, ocean, and environmental analysis
- Model-to-observation and model-to-model comparison
- GIS-ready delivery for scientific and operational teams
See the approach
See Regridding in Action
Omni Gridder demonstrates how the same synthetic meteorological field changes geometry while its scientific meaning is preserved.
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