SASENOAA Interface Engine

The SASENOAA interface engine enables SAS programmers to retrieve severe weather data from the National Oceanic and Atmospheric Administration (NOAA) Severe Weather Data Inventory (SWDI) web service, which is hosted jointly by the NOAA’s National Environmental Satellite Data and Information Service (NESDIS), the US Department of Commerce National Climatic Data Center (NCDC), the University of North Carolina at Asheville’s National Environmental Modeling and Analysis Center (NEMAC), and the Renaissance Computing Institute (RENCI) at UNC Asheville.

The SWDI web service offers access to severe weather data such as tornado vortex signatures; mesocyclone signatures; the digital mesocyclone detection algorithm; hail data; storm cell structure; preliminary local storm reports; and severe thunderstorm, tornado, flash flood, and special marine warnings. The SWDI lightning data are not accessible to the public, so they are not supported by the SASENOAA interface engine.

It is important to note that the absence of SWDI weather data for a geographic region or time period does not necessarily indicate that severe weather did not occur at that place or time; instead, the interpretation should be that severe weather was not detected or reported by NOAA’s SWDI data sources. In addition, because much of the SWDI’s information is derived from radar data, its usefulness is primarily that it provides data that indicates probable conditions for an event rather than confirming the actual occurrence of an event.

The SASENOAA interface engine uses the LIBNAME statement to enable you to specify how to retrieve your NOAA Severe Weather data and which weather data time series or storm events you want to retrieve based on date range and weather station location. You can then use the SAS DATA step to perform further subsetting and to store the resulting time series in a SAS data set or in map files (such as Google Earth’s KMZ files or Esri shapefiles). You can perform more analysis (if desired) either in the same SAS session or in a later session. You can map your results in Google Maps by importing the resulting KML file, or you can map your results in SAS by using PROC MAPIMPORT and PROC GMAP to create a map from the resulting Esri shapefiles (which have the filename extension .shp).


For further details, see the SAS/ETS® User's Guide