Meteorological (weather) data are available from a variety of public and private entities, but typically come in a variety of spatial and temporal resolutions and a plethora of formats.

Weather & Water focuses on sourcing data from federal agencies and academic institutions – as these are the original sources for the majority of products.


Federal agencies are also the primary source for hydrologic and hydraulic data collected by Weather & Water. The time variation and spatial resolution of these data are also different, depending on type, source, collection platform, among other many other factors.

As such, Weather & Water provides the capability to generate spatially and temporally consistent datasets from these multiple sources in a user-defined format for ease of application in projects.

Observations, Forecasts

Re-forecasts, Reanalyses

Streamflow, Water Surface Elevation

Water Quality, Water Availability


One of the primary sources for climatological data is the Oregon State University PRISM Group – particularly for precipitation and temperature data. In addition, federal agencies have climatological data for specific sites and through the use of reanalysis data (i.e., model-generated historical  time series) for both weather- and hydrology-based variables.

Weather & Water uses these sources, when available, but also generates other climatological base datasets for non-traditional variables – like solar radiation, wind, freezing level, snow water equivalent, precipitation type, water quality variables, among others – for specific locations, watersheds, regions, or specified geographic domain.


Climate change and variability are based on both historical time series from historical reconstructions using naturally-influenced processes (e.g., tree-ring, pollen, etc.) and numerical forecast simulations at the global and regional scale. The primary issue with most of these data is that they are location-specific (e.g., Southwestern United States only) or available at a spatial scale of tens to hundreds of kilometers.

Weather & Water uses both dynamic and statistical downscaling techniques to provide future climate projection information in tangible forms to clients. Based on federal government methods (or using direct sources for downscaled data), we turn these complex datasets into simplified formats for use in impacts analyses and risk assessments.