We flew two missions in hurricane Bonnie: the first on August 24 and the second during landfall on August 26, 1998. During our first transit flight from Tampa to the storm, we were able to isolate and correct the tracker bug and everything started working better than expected. Soon after leaving the east coast of Florida, our topographic display of the sea came alive for the first time, showing real sea state. Ocean waves as high as 63 feet were observed in the northeast quadrant of the hurricane on the 24th. Figure 14 shows our August 26 flight track during landfall overlaid on the aircraft weather radar image and a contour plot of the wind field data. The base image includes the weather radar, the wind field and the coastline and was provided by the Hurricane Research Division (HRD) of the NOAA Atlantic Oceanographic and Meteorological Laboratory (AOML) in Miami. We produced this overlay using Yorick.
In addition to hurricane Bonnie, we also flew in Earl and Georges.
Thanks to the reliability of Linux and all of the off-the-shelf real-time data processing programs available in that domain, we were able to put together a state-of-the-art data system on a very tight schedule with a great variety of real-time displays. The displays proved to be of great value both in troubleshooting during development and in real-time geophysical assessment and interpretation during data acquisition. As a result, we were able to document for the first time the spatial variation of the wave field in the vicinity of a hurricane and the spatial and temporal variation of the storm surge associated with hurricanes on landfall.
Getting Started with DevOps - Including New Data on IT Performance from Puppet Labs 2015 State of DevOps Report
August 27, 2015
12:00 PM CDT
DevOps represents a profound change from the way most IT departments have traditionally worked: from siloed teams and high-anxiety releases to everyone collaborating on uneventful and more frequent releases of higher-quality code. It doesn't matter how large or small an organization is, or even whether it's historically slow moving or risk averse — there are ways to adopt DevOps sanely, and get measurable results in just weeks.
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