Zobrazeno 1 - 10
of 28
pro vyhledávání: '"David Ahijevych"'
Autor:
Ryan A. Sobash, David John Gagne, Charlie L. Becker, David Ahijevych, Gabrielle N. Gantos, Craig S. Schwartz
Publikováno v:
Monthly Weather Review.
While convective storm mode is explicitly depicted in convection-allowing model (CAM) output, subjectively diagnosing mode in large volumes of CAM forecasts can be burdensome. In this work, four machine learning (ML) models were trained to probabilis
Publikováno v:
Monthly Weather Review. 149:3265-3287
A 50-member convection-allowing ensemble was used to examine environmental factors influencing afternoon convection initiation (CI) and subsequent severe weather on 5 April 2017 during intensive observing period (IOP) 3b of the Verification of the Or
Publikováno v:
Weather and Forecasting. 35:1289-1315
This article investigates combining a WRF-ADCIRC ensemble with track clustering to evaluate how uncertainties in tropical cyclone–induced storm tide (surge + tide) predictions vary in space and time and to explore whether this method can help eluci
Publikováno v:
Weather and Forecasting. 34:1633-1656
A 50-member convection-allowing ensemble is used to examine effects of daytime PBL evolution and ambient flow interacting with modest terrain features on convection initiation (CI) in the lee of the Rocky Mountains. The examined case (4 June 2015) ha
Autor:
Melissa Bica, Heather Lazrus, Kenneth M. Anderson, Joshua Watts, Christopher A. Davis, David Ahijevych, Julie L. Demuth, Marina Kogan, Leysia Palen, Olga V. Wilhelmi, Rebecca E. Morss, Chris Snyder, Kevin Stowe, Jennings Anderson, Jennifer Henderson, Kathryn R. Fossell, C. Michael Barton
Publikováno v:
Bulletin of the American Meteorological Society. 98:2653-2674
During the last few decades, scientific capabilities for understanding and predicting weather and climate risks have advanced rapidly. At the same time, technological advances, such as the Internet, mobile devices, and social media, are transforming
Publikováno v:
Monthly Weather Review. 145:5103-5121
The potential for storm surge to cause extensive property damage and loss of life has increased urgency to more accurately predict coastal flooding associated with landfalling tropical cyclones. This work investigates the sensitivity of coastal inund
Publikováno v:
Monthly Weather Review. 145:2919-2941
Radiosonde measurements from the Plains Elevated Convection At Night (PECAN) 2015 field campaign are used to diagnose mesoscale vertical motions near nocturnal convection initiation (CI). These CI events occur in distinctly different environments inc
Evaluating Medium-Range Tropical Cyclone Forecasts in Uniform- and Variable-Resolution Global Models
Publikováno v:
Monthly Weather Review. 144:4141-4160
An evaluation of medium-range forecasts of tropical cyclones (TCs) is performed, covering the eastern North Pacific basin during the period 1 August–3 November 2014. Real-time forecasts from the Model for Prediction Across Scales (MPAS) and operati
Publikováno v:
Weather and Forecasting. 31:581-599
A data mining and statistical learning method known as a random forest (RF) is employed to generate 2-h forecasts of the likelihood for initiation of mesoscale convective systems (MCS-I). The RF technique uses an ensemble of decision trees to relate
Autor:
Glen S. Romine, Stanley B. Trier, David J. Stensrud, Russ S. Schumacher, Michael C. Coniglio, Robert J. Trapp, David Ahijevych
Publikováno v:
Monthly Weather Review. 143:3726-3753
In this study, the authors examine initiation of severe convection along a daytime surface dryline in a 10-member ensemble of convection-permitting simulations. Results indicate that the minimum buoyancy Bmin of PBL air parcels must be small (Bmin >