Wednesday, November 30, 2016, 12:00PM - 1:00PM
National Weather Service, NOAA
SEEC room 120A/B
Big data is an ever-increasing challenge within water resources. Extensive historic observations along with model output have created large amounts of time-series data. New and innovative tools are needed to explore, visualize and analyze these data and unlock the information within.
Just as hyperspectral imaging collects and processes information from across the electromagnetic spectrum, “temporal spectrum” raster-based imaging can find patterns, trends and processes on minute, hourly, daily, weekly, seasonal, annual and inter-annual intervals. The techniques used are based on geographic information system (GIS) methods.
Examples for this talk include the following:
- Identify trends and patterns within and between SNOTEL data (SWE, Precip, and Air Temp)
- Quantify "time map" patterns
- Summarize hydrologic ensembles and associated forecasts
- Show natural and anthropogenic signatures within streamflow records
- Improve water resources modeling with new evaluation approaches
Please RSVP and see directions to the talk.
Free and open to the public.