Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Dale R. Durran"'
Autor:
Matthias Karlbauer, Nathaniel Cresswell‐Clay, Dale R. Durran, Raul A. Moreno, Thorsten Kurth, Boris Bonev, Noah Brenowitz, Martin V. Butz
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 8, Pp n/a-n/a (2024)
Abstract We present a parsimonious deep learning weather prediction model to forecast seven atmospheric variables with 3‐hr time resolution for up to 1‐year lead times on a 110‐km global mesh using the Hierarchical Equal Area isoLatitude Pixeli
Externí odkaz:
https://doaj.org/article/5310a15147c04b8ea192fd26582aec99
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 7, Pp n/a-n/a (2021)
Abstract We present an ensemble prediction system using a Deep Learning Weather Prediction (DLWP) model that recursively predicts six key atmospheric variables with six‐hour time resolution. This computationally efficient model uses convolutional n
Externí odkaz:
https://doaj.org/article/51f98f8aa6dd418e82a085d7ccde7bc3
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 8, Pp 2680-2693 (2019)
Abstract We develop elementary weather prediction models using deep convolutional neural networks (CNNs) trained on past weather data to forecast one or two fundamental meteorological fields on a Northern Hemisphere grid with no explicit knowledge ab
Externí odkaz:
https://doaj.org/article/6490fd46ee6d471ea14a48f09a7d2aa2
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 9, Pp n/a-n/a (2020)
Abstract We present a significantly improved data‐driven global weather forecasting framework using a deep convolutional neural network (CNN) to forecast several basic atmospheric variables on a global grid. New developments in this framework inclu
Externí odkaz:
https://doaj.org/article/fa2a0ca04aa7476185a92c28151468cc
Autor:
Johnathan J. Metz, Dale R. Durran
Publikováno v:
Weather and Forecasting.
Strong downslope windstorms can cause extensive property damage and extreme wildfire spread, so their accurate prediction is important. Although some early studies suggested high predictability for downslope windstorms, more recent analyses have foun
Publikováno v:
Journal of the Atmospheric Sciences. 79:119-139
We investigate the sensitivity of mesoscale atmospheric predictability to the slope of the background kinetic energy spectrum E by adding initial errors to simulations of idealized moist midlatitude cyclones at several wavenumbers k for which the slo
Autor:
Johnathan J. Metz, Dale R. Durran
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 147:2691-2708
Autor:
Dale R. Durran, Kevin R. Haghi
Publikováno v:
Journal of the Atmospheric Sciences. 78:313-327
The dynamics of a prototypical atmospheric bore are investigated through a series of two-dimensional numerical simulations and linear theory. These simulations demonstrate that the bore dynamics are inherently finite amplitude. Although the environme
Autor:
Dale R. Durran
Publikováno v:
Bulletin of the American Meteorological Society. 101:869-874
Autor:
Dale R. Durran
Publikováno v:
Bulletin of the American Meteorological Society. 101:E1452-E1463
When extreme weather occurs, the question often arises whether the event was produced by climate change. Two types of errors are possible when attempting to answer this question. One type of error is underestimating the role of climate change, thereb