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Dave Watson

Dave Watson

Research Associate III

Dave.Watson@colostate.edu

Mailing Address:
Dave Watson
Cooperative Institute for Research in the Atmosphere
Colorado State University
1375 Campus Delivery
Fort Collins, CO 80523-1375
  • Office Location:
    CIRA Room 26
  • 970-491-8470
About Me:

Dave Watson joined CIRA in 1991 and is currently a Research Associate with the RAMMT. He received his BS in Mathematics from Colorado State University in 1992. His main responsibilities have been to provide system administration and programming support for RAMMT and any associated research projects. He helped oversee the deployment of RAMSDIS (Regional and Mesoscale Meteorology Team Advanced Meteorological Satellite Demonstration and Interpretation System) workstations to National Weather Service Forecast Offices throughout the US and several other countries (Germany, England, China, Nairobi, India, Costa Rica, Barbados, Brazil, and Mexico). He developed an internet version of RAMSDIS capable of displaying weather satellite loops in real-time. He has automated the retrieval, processing and displaying of satellite data for RAMSDIS systems from CIRA’s groundstation. He has provided training, demonstrations, and general technical support to RAMMT, remotely and via travel.
He was recognized in 2002 with the CIRA research initiative award for his part in a Hurricane Mitch Reconstruction Project that involved installing a GOES satellite receiving station in Central America in response to the devastation caused by Hurricane Mitch in October 1998.

My Work/Projects:

RAMMB Projects

Thursday, March 13, 2014

Dave has recently been working on a RAMSDIS Online transition to a new java based looper (http://rammb.cira.colostate.edu/ramsdis/online/index.asp). He has also worked on the GOES-R Algorithm Working Group (AWG) project to create a tropical storm proxy dataset consisting of matching GOES and AVHRR/MODIS IR imagery and processing each scene into a proxy dataset to mimic GOES-R IR data. He wrote programs to process the matching scenes using best track and manual centered input and output the proxy dataset with a standardized naming convention and make gifs of the dataset and also automate the application of the simple version of the Objective Dvorak Technique for hurricane intensity. (http://rammb.cira.colostate.edu/projects/awg/index.html).