Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Thomas J. Grafenauer"'
Autor:
Matthew J. Bunkers, Steven R. Fleegel, Thomas J. Grafenauer, Philip N. Schumacher, Chauncy J. Schultz
Publikováno v:
Weather and Forecasting. 35:635-656
The objective of this study is to provide guidance on when hail and/or wind is climatologically most likely (temporally and spatially) based on the ratio of severe hail reports to severe wind reports, which can be used by National Weather Forecast (N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0dd39e28ee821b680e210ad328212649
https://doi.org/10.1175/waf-d-19-0136.1
https://doi.org/10.1175/waf-d-19-0136.1
Publikováno v:
Weather and Forecasting. 24:1159-1171
Edwards and Thompson have made comprehensive and thorough comments concerning the methods, accuracy, and results in a case study by Kellenbenz et al. These comments questioned the representativeness of model-derived soundings and graphics used, as we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c8b3b087d2b01667c9312ee85670d2d
https://doi.org/10.1175/2009waf2222238.1
https://doi.org/10.1175/2009waf2222238.1
Publikováno v:
Weather and Forecasting. 22:1200-1213
On the evening of 18 July 2004, several tornadoes occurred with two supercell thunderstorms over eastern North Dakota. The second and smaller in diameter of these storms produced an F4 tornado in an environment with lifting condensation level (LCL) h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e14e077ccec0959ea9b9bda0e3fad4de
https://doi.org/10.1175/2007waf2006109.1
https://doi.org/10.1175/2007waf2006109.1
Publikováno v:
Weather and Forecasting. 22:676-684
A set of 53 snowfall reports was collected in real time from the 2004/05 and 2005/06 cold seasons (November–March). Three snowfall-amount forecast methods were tested: neural network, surface-temperature-based 676-USDT table, and climatological sno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48baad1d061fdc5db1deb7b8e2e353b1
https://doi.org/10.1175/waf1000.1
https://doi.org/10.1175/waf1000.1