Zobrazeno 1 - 10
of 28
pro vyhledávání: '"D. Loken"'
Autor:
Adam J. Clark, Israel L. Jirak, Burkely T. Gallo, Brett Roberts, Kent H. Knopfmeier, Jake Vancil, David Jahn, Makenzie Krocak, Christopher D. Karstens, Eric D. Loken, Nathan A. Dahl, David Harrison, David Imy, Andrew R. Wade, Jeffrey M. Milne, Kimberly A. Hoogewind, Montgomery Flora, Joshua Martin, Brian C. Matilla, Joseph C. Picca, Corey K. Potvin, Patrick S. Skinner, Patrick Burke
Publikováno v:
Bulletin of the American Meteorological Society. 104:E456-E458
Publikováno v:
Weather and Forecasting. 37:871-899
Recent research has shown that random forests (RFs) can create skillful probabilistic severe weather hazard forecasts from numerical weather prediction (NWP) ensemble data. However, it remains unclear how RFs use NWP data and how predictors should be
Autor:
Adam J. Clark, Israel L. Jirak, Burkely T. Gallo, Kent H. Knopfmeier, Brett Roberts, Makenzie Krocak, Jake Vancil, Kimberly A. Hoogewind, Nathan A. Dahl, Eric D. Loken, David Jahn, David Harrison, David Imy, Patrick Burke, Louis J. Wicker, Patrick S. Skinner, Pamela L. Heinselman, Patrick Marsh, Katie A. Wilson, Andrew R. Dean, Gerald J. Creager, Thomas A. Jones, Jidong Gao, Yunheng Wang, Montgomery Flora, Corey K. Potvin, Christopher A. Kerr, Nusrat Yussouf, Joshua Martin, Jorge Guerra, Brian C. Matilla, Thomas J. Galarneau
Publikováno v:
Bulletin of the American Meteorological Society. 103:E1114-E1116
Publikováno v:
Weather and Forecasting. 35:1605-1631
Extracting explicit severe weather forecast guidance from convection-allowing ensembles (CAEs) is challenging since CAEs cannot directly simulate individual severe weather hazards. Currently, CAE-based severe weather probabilities must be inferred fr
Autor:
Andrew R. Dean, William Miller, Pamela L. Heinselman, Kimberly A. Hoogewind, Katie A. Wilson, Montgomery L. Flora, Joshua Martin, Jake Vancil, Christopher A. Kerr, Adam J. Clark, Jidong Gao, Scott R. Dembek, Brian Matilla, David Harrison, Brett Roberts, Yunheng Wang, Nusrat Yussouf, Patrick S. Skinner, Nathan A. Dahl, Gerald J. Creager, Eric D. Loken, Burkely T. Gallo, Michael C. Coniglio, Kent H. Knopfmeier, David A. Imy, Louis J. Wicker, David E. Jahn, Jorge E. Guerra, Makenzie J. Krocak, Israel L. Jirak, Thomas A. Jones
Publikováno v:
Bulletin of the American Meteorological Society. 102:E814-E816
Publikováno v:
Weather and Forecasting. 34:2017-2044
Most ensembles suffer from underdispersion and systematic biases. One way to correct for these shortcomings is via machine learning (ML), which is advantageous due to its ability to identify and correct nonlinear biases. This study uses a single rand
Publikováno v:
Weather and Forecasting. 34:305-330
Spread and skill of mixed- and single-physics convection-allowing ensemble forecasts that share the same set of perturbed initial and lateral boundary conditions are investigated at a variety of spatial scales. Forecast spread is assessed for 2-m tem
Publikováno v:
Weather and Forecasting. 32:1403-1421
Given increasing computing power, an important question is whether additional computational resources would be better spent reducing the horizontal grid spacing of a convection-allowing model (CAM) or adding members to form CAM ensembles. The present
Autor:
Stefan J. Urbanski, Katy A. Garant, S D Loken, Derrick E. Rancourt, Patrick W. K. Lee, Manbok Kim, Peter A. Forsyth, Randal N. Johnston, Tommy Alain, N.I. zur Nieden
Publikováno v:
British journal of cancer, vol 104, iss 2
British Journal of Cancer
British Journal of Cancer
Background: Although the naturally occurring reovirus causes only mild symptoms in humans, it shows considerable potential as an oncolytic agent because of its innate ability to target cancer cells. In immunocompromised hosts, however, wild-type reov
Publikováno v:
Clinical Chemistry. 53:1775-1781
Background: The aim of this study was to retrospectively examine how positive IgA-endomysial antibody (EMA) test results for celiac disease were being interpreted and acted on by physicians in the Calgary Health Region. Methods: We reviewed consecuti