Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Laurence J. Wilson"'
Autor:
Eric Gilleland, Laurence J. Wilson, Nigel Roberts, Barbara G. Brown, Marion Mittermaier, Gregor Skok, Manfred Dorninger, Barbara Casati
Publikováno v:
Monthly Weather Review. 148:1653-1673
As part of the second phase of the spatial forecast verification intercomparison project (ICP), dubbed the Mesoscale Verification Intercomparison in Complex Terrain (MesoVICT) project, a new set of idealized test fields is prepared. This paper descri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c13c832fc5a24b0c5f93c09c3f066c2d
https://doi.org/10.1175/mwr-d-19-0256.1
https://doi.org/10.1175/mwr-d-19-0256.1
Autor:
Barbara G. Brown, Barbara Casati, Marion Mittermaier, Laurence J. Wilson, Eric Gilleland, Elizabeth E. Ebert, Manfred Dorninger
Publikováno v:
Bulletin of the American Meteorological Society. 99:1887-1906
Recent advancements in numerical weather prediction (NWP) and the enhancement of model resolution have created the need for more robust and informative verification methods. In response to these needs, a plethora of spatial verification approaches ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a959dec0946ec1d1771317bd64b5649
https://doi.org/10.1175/bams-d-17-0164.1
https://doi.org/10.1175/bams-d-17-0164.1
Autor:
Julia H. Keller, Richard Swinbank, Thomas M. Hamill, John Methven, Mio Matsueda, Lizzie S. R. Froude, Helen Titley, Michael Scheuerer, Piers Buchanan, Munehiko Yamaguchi, Masayuki Kyouda, Florian Pappenberger, Tim Hewson, Laurence J. Wilson
Publikováno v:
Bulletin of the American Meteorological Society. 97:49-67
The International Grand Global Ensemble (TIGGE) was a major component of The Observing System Research and Predictability Experiment (THORPEX) research program, whose aim is to accelerate improvements in forecasting high-impact weather. By providing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d093d400eb4aff238076e3b7a15a2b4
https://doi.org/10.1175/bams-d-13-00191.1
https://doi.org/10.1175/bams-d-13-00191.1
Autor:
Laurence J. Wilson, Andrew Giles
Publikováno v:
Meteorological Applications. 20:206-216
A new scoring index is proposed for the verification of the Canadian weather warning program. Called weather warning index (WWI), the new measure is designed to be sensitive to two attributes of warnings, their timeliness and accuracy, and to summari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f26e4082b6e8ba70ca5d93aabbe7efe0
https://doi.org/10.1002/met.1404
https://doi.org/10.1002/met.1404
Autor:
Barbara G. Brown, Susan Joslyn, Tressa L. Fowler, Philip G. Gill, Pertti Nurmi, Martin Göber, Andreas P. Weigel, Laurence J. Wilson, Andrew B. Watkins, Elizabeth E. Ebert, Marion Mittermaier
Publikováno v:
Meteorological Applications. 20:130-139
Verification scientists and practitioners came together at the 5th International Verification Methods Workshop in Melbourne, Australia, in December 2011 to discuss methods for evaluating forecasts within a wide variety of applications. Progress has b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::496edc04d697cd1631e8e96d63334209
https://doi.org/10.1002/met.1392
https://doi.org/10.1002/met.1392
Autor:
Steve Worley, David B. Parsons, Doug Schuster, De Hui Chen, Beth Ebert, David Burridge, Tiziana Paccagnella, Yoshiaki Takeuchi, Manuel Fuentes, Warren Tennant, Craig H. Bishop, Jean Nicolau, Zoltan Toth, Young-Youn Park, Philippe Bougeault, Pedro Leite da Silva Dias, Laurence J. Wilson, Baudouin Raoult, Thomas M. Hamill, Barbara G. Brown, Richard Swinbank, Ken Mylne
Publikováno v:
Bulletin of the American Meteorological Society. 91:1059-1072
Ensemble forecasting is increasingly accepted as a powerful tool to improve early warnings for high-impact weather. Recently, ensembles combining forecasts from different systems have attracted a considerable level of interest. The Observing System R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d2706ace90b876c2c804b60867b9cd6
https://doi.org/10.1175/2010bams2853.1
https://doi.org/10.1175/2010bams2853.1
Publikováno v:
Atmosphere-Ocean. 47:99-122
The storm of 20–22 January 2000 over Canada's Atlantic Provinces was an exceptional storm for several reasons, these include extremely high coastal ocean waves, widespread coastal damage due to the storm surge, very strong winds over a large area,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45105fbc9689dd39759182a8ee7ecf5
https://doi.org/10.3137/oc292.2009
https://doi.org/10.3137/oc292.2009
Autor:
Syd Peel, Laurence J. Wilson
Publikováno v:
Weather and Forecasting. 23:596-616
A comparatively long period of relative stability in the evolution of the Canadian Ensemble Forecast System was exploited to compile a large homogeneous set of precipitation forecasts. The probability of exceedance of a given threshold was computed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5d5b27eed76f7cef7f2b7bc88f39282
https://doi.org/10.1175/2008waf2006099.1
https://doi.org/10.1175/2008waf2006099.1
Autor:
Laurence J. Wilson, Syd Peel
Publikováno v:
Weather and Forecasting. 23:575-595
Kernel density estimation is employed to fit smooth probabilistic models to precipitation forecasts of the Canadian ensemble prediction system. An intuitive nonparametric technique, kernel density estimation has become a powerful tool widely used in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::855a5dfed250a0d8c6bda3cd18418a76
https://doi.org/10.1175/2007waf2007023.1
https://doi.org/10.1175/2007waf2007023.1
Autor:
Laurence J. Wilson, Anna Ghelli, Barbara Casati, Elizabeth E. Ebert, Matthew Pocernich, Barbara G. Brown, Simon J. Mason, Ulrich Damrath, David B. Stephenson, Pertti Nurmi
Publikováno v:
Meteorological Applications. 15:3-18
Research and development of new verification strategies and reassessment of traditional forecast verification methods has received a great deal of attention from the scientific community in the last decade. This scientific effort has arisen from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98d47ce2e3c219f85d6ab0fc19e5d96e
https://doi.org/10.1002/met.52
https://doi.org/10.1002/met.52