PROBCAST: A Web-Based Portal to Mesoscale Probabilistic Forecasts

Clifford Mass
Search for other papers by Clifford Mass in
Current site
Google Scholar
PubMed
Close
,
Susan Joslyn
Search for other papers by Susan Joslyn in
Current site
Google Scholar
PubMed
Close
,
John Pyle
Search for other papers by John Pyle in
Current site
Google Scholar
PubMed
Close
,
Patrick Tewson
Search for other papers by Patrick Tewson in
Current site
Google Scholar
PubMed
Close
,
Tilmann Gneiting
Search for other papers by Tilmann Gneiting in
Current site
Google Scholar
PubMed
Close
,
Adrian Raftery
Search for other papers by Adrian Raftery in
Current site
Google Scholar
PubMed
Close
,
Jeff Baars
Search for other papers by Jeff Baars in
Current site
Google Scholar
PubMed
Close
,
J. M. Sloughter
Search for other papers by J. M. Sloughter in
Current site
Google Scholar
PubMed
Close
,
David Jones
Search for other papers by David Jones in
Current site
Google Scholar
PubMed
Close
, and
Chris Fraley
Search for other papers by Chris Fraley in
Current site
Google Scholar
PubMed
Close
Restricted access

This paper describes the University of Washington Probability Forecast (PROBCAST), a Web-based portal to probabilistic weather predictions over the Pacific Northwest. PROBCAST products are derived from the output of a mesoscale ensemble system run at the University of Washington, with the fields being postprocessed using Bayesian model averaging to produce sharp and reliable probabilistic predictions of temperature and precipitation. Based on research by University of Washington psychologists and human-interface specialists, a Web site has been constructed that allows for access to key elements of the probabilistic information produced by the system. The design approach of the PROBCAST system is explained in this paper as well as some of the challenges for future development. PROBCAST is intended to be a prototype for the kind of probabilistic forecast interface that could be used throughout the nation.

Department of Atmospheric Sciences, University of Washington, Seattle, Washington

Department of Psychology, University of Washington, Seattle, Washington

Applied Physics Laboratory, University of Washington, Seattle, Washington

Department of Statistics, University of Washington, Seattle, Washington

CORRESPONDING AUTHOR: Professor Clifford F. Mass, Department of Atmospheric Sciences, Box 351640, University of Washington, Seattle, WA 98195 E-mail: cliff@atmos.washington.edu

This paper describes the University of Washington Probability Forecast (PROBCAST), a Web-based portal to probabilistic weather predictions over the Pacific Northwest. PROBCAST products are derived from the output of a mesoscale ensemble system run at the University of Washington, with the fields being postprocessed using Bayesian model averaging to produce sharp and reliable probabilistic predictions of temperature and precipitation. Based on research by University of Washington psychologists and human-interface specialists, a Web site has been constructed that allows for access to key elements of the probabilistic information produced by the system. The design approach of the PROBCAST system is explained in this paper as well as some of the challenges for future development. PROBCAST is intended to be a prototype for the kind of probabilistic forecast interface that could be used throughout the nation.

Department of Atmospheric Sciences, University of Washington, Seattle, Washington

Department of Psychology, University of Washington, Seattle, Washington

Applied Physics Laboratory, University of Washington, Seattle, Washington

Department of Statistics, University of Washington, Seattle, Washington

CORRESPONDING AUTHOR: Professor Clifford F. Mass, Department of Atmospheric Sciences, Box 351640, University of Washington, Seattle, WA 98195 E-mail: cliff@atmos.washington.edu
Save