meeting summary

meeting summary Quantitative Precipitation Forecasting: Report of the Eighth Prospectus Development Team, U.S. Weather Research Program J. M. Fritsch,* R. A. Houze Jr.,+ R. Adler,* H. Bluestein® L. Bosart,& J. Brown,** F. Can® C. Davis,++ R. H. Johnson,## N. Junker«« Y.-H. Kuo,++ S. Rutledge,## J. Smith,&& Z. Toth,*** J. W. Wilson,++ E. Zipser,+++ and D. Zrnic*## ABSTRAC T Quantitative precipitation forecasting (QPF) is the most important and significant challenge of weather forecasting. Advances in computing and observational technology combined with theoretical advances regarding the chaotic nature of the atmosphere offer the possibility of significant improvement in QPF. To achieve these improvements, this report recommends research focusing on 1) improving the accuracy and temporal and spatial resolution of the rainfall observ- ing system; 2) performing process and climatological studies using the modernized observing system; 3) designing new data-gathering strategies for numerical model initialization; and 4) defining a probabilistic framework for precipitation forecasting and verification. Advances on the QPF problem will require development of advanced ensemble techniques that account for forecast uncertainty, stemming from sampling error and differences in model physics and numerics and development of statistical techniques for using observational data to verify probabilistic QPF in a way that is consistent with http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bulletin of the American Meteorological Society American Meteorological Society

meeting summary

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0477
D.O.I.
10.1175/1520-0477(1998)079<0285:QPFROT>2.0.CO;2
Publisher site
See Article on Publisher Site

Abstract

Quantitative Precipitation Forecasting: Report of the Eighth Prospectus Development Team, U.S. Weather Research Program J. M. Fritsch,* R. A. Houze Jr.,+ R. Adler,* H. Bluestein® L. Bosart,& J. Brown,** F. Can® C. Davis,++ R. H. Johnson,## N. Junker«« Y.-H. Kuo,++ S. Rutledge,## J. Smith,&& Z. Toth,*** J. W. Wilson,++ E. Zipser,+++ and D. Zrnic*## ABSTRAC T Quantitative precipitation forecasting (QPF) is the most important and significant challenge of weather forecasting. Advances in computing and observational technology combined with theoretical advances regarding the chaotic nature of the atmosphere offer the possibility of significant improvement in QPF. To achieve these improvements, this report recommends research focusing on 1) improving the accuracy and temporal and spatial resolution of the rainfall observ- ing system; 2) performing process and climatological studies using the modernized observing system; 3) designing new data-gathering strategies for numerical model initialization; and 4) defining a probabilistic framework for precipitation forecasting and verification. Advances on the QPF problem will require development of advanced ensemble techniques that account for forecast uncertainty, stemming from sampling error and differences in model physics and numerics and development of statistical techniques for using observational data to verify probabilistic QPF in a way that is consistent with

Journal

Bulletin of the American Meteorological SocietyAmerican Meteorological Society

Published: Feb 1, 1998

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