SASSI (Page Under Construction)
Below you will find a description of the main features of SASSI (Situational Awareness for Severe Storms Intercept). If time permits during the Spring of 2010, a User's Guide will be written and a link added to this page.
Go here to learn about SASSI for 2010.
Acknowledgments (Under Construction)
Investigations of the needs of field research program command, control, and communication was conducted under a contract from the National Severe Storms Laboratory, which also supported development of SASSI for the 2009 VORTEX2 field campaign.
Additional support to Rasmussen Systems LLC for SASSI came from the National Science Foundation.
GIS data was adapted from the following sources:
Transportation, hydrography, and areal place data was derived from the U. S. Census Bureau 2008 TIGER data set. The data were filtered to reduce the number of points comprising polylines. In addition, for 2010, the data were compacted into Qt objects for faster reading and rendering.
Digital elevation data were derived from GeoTIFF images from YYY. These images were broken into 1x1 degree images. They were then subsequently decoded into vectors of 16-bit meter-resolution elevation data.
Place data are from the open-source repository at YYY. They were parsed into ESRI Shapefiles using a UNIX awk script.
State and county border data were downloaded from YYY. These were also parsed into Qt objects for faster reading and drawing.
Investigations of the needs of field research program command, control, and communication was conducted under a contract from the National Severe Storms Laboratory, which also supported development of SASSI for the 2009 VORTEX2 field campaign.
Additional support to Rasmussen Systems LLC for SASSI came from the National Science Foundation.
GIS data was adapted from the following sources:
Transportation, hydrography, and areal place data was derived from the U. S. Census Bureau 2008 TIGER data set. The data were filtered to reduce the number of points comprising polylines. In addition, for 2010, the data were compacted into Qt objects for faster reading and rendering.
Digital elevation data were derived from GeoTIFF images from YYY. These images were broken into 1x1 degree images. They were then subsequently decoded into vectors of 16-bit meter-resolution elevation data.
Place data are from the open-source repository at YYY. They were parsed into ESRI Shapefiles using a UNIX awk script.
State and county border data were downloaded from YYY. These were also parsed into Qt objects for faster reading and drawing.
Overview
This is a screen grab of the entire SASSI display in the Field Coordination vehicle at the time of tornado formation on 5 June 2008. Each SASSI display is different, depending on the domain being viewed, the chat the team has engaged in, etc. (Click for a full-size image.)
The radar data are from a WSR-88D about 60 km from the scene.
Team icons can be seen. Symbol shape denotes a particular type of mission. Symbol color denotes affiliation. The team ID is in the icon.
Station model symbols are mobile mesonet observations.
The chat is in the right-hand column. It is color-coded by affiliation, with team icon on the right. Most recent chat is at the top.
This is a screen grab of the entire SASSI display in the Field Coordination vehicle at the time of tornado formation on 5 June 2008. Each SASSI display is different, depending on the domain being viewed, the chat the team has engaged in, etc. (Click for a full-size image.)
The radar data are from a WSR-88D about 60 km from the scene.
Team icons can be seen. Symbol shape denotes a particular type of mission. Symbol color denotes affiliation. The team ID is in the icon.
Station model symbols are mobile mesonet observations.
The chat is in the right-hand column. It is color-coded by affiliation, with team icon on the right. Most recent chat is at the top.