Dale Durran

Dale Durran

University of Washington

H-index: 59

North America-United States

About Dale Durran

Dale Durran, With an exceptional h-index of 59 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Deep learning, predictability, atmospheric dynamics, numerical methods, mountain meteorology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improving the Representation of Moisture and Convective Instability in Baroclinic-Wave Channel Simulations

A Practical Probabilistic Benchmark for AI Weather Models

Data to accompany the article" Can Observation Targeting Be a Wild Goose Chase? An Adjoint-Sensitivity Study of the 15 November 2018 Forecast Bust"

Downslope windstorm forecasting: Easier with a critical level, but still challenging for high-resolution ensembles

The two-to four-day predictability of midlatitude cyclones: Don’t sweat the small stuff

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mes

GNSS Radio Propagation through Trapped Atmospheric Lee Waves in the San Bernardino Valley, CA

The Enhancement of Precipitation Due to Mesoscale Convective Organization

Dale Durran Information

University

Position

Professor of Atmospheric Sciences

Citations(all)

13774

Citations(since 2020)

3358

Cited By

10764

hIndex(all)

59

hIndex(since 2020)

30

i10Index(all)

114

i10Index(since 2020)

76

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Dale Durran Skills & Research Interests

Deep learning

predictability

atmospheric dynamics

numerical methods

mountain meteorology

Top articles of Dale Durran

Title

Journal

Author(s)

Publication Date

Improving the Representation of Moisture and Convective Instability in Baroclinic-Wave Channel Simulations

Monthly Weather Review

Daniel J Lloveras

Dale R Durran

2024/4/10

A Practical Probabilistic Benchmark for AI Weather Models

arXiv preprint arXiv:2401.15305

Noah D Brenowitz

Yair Cohen

Jaideep Pathak

Ankur Mahesh

Boris Bonev

...

2024/1/27

Data to accompany the article" Can Observation Targeting Be a Wild Goose Chase? An Adjoint-Sensitivity Study of the 15 November 2018 Forecast Bust"

Daniel J Lloveras

Dale R Durran

James D Doyle

2024/1/19

Downslope windstorm forecasting: Easier with a critical level, but still challenging for high-resolution ensembles

Weather and Forecasting

Johnathan J Metz

Dale R Durran

2023/8

The two-to four-day predictability of midlatitude cyclones: Don’t sweat the small stuff

Journal of the Atmospheric Sciences

Daniel J Lloveras

Dale R Durran

James D Doyle

2023/11

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mes

Authorea Preprints

Matthias Karlbauer

Nathaniel Cresswell-Clay

Dale R Durran

Raul A Moreno

Thorsten Kurth

...

2023/9/30

GNSS Radio Propagation through Trapped Atmospheric Lee Waves in the San Bernardino Valley, CA

AGU Fall Meeting Abstracts

Walter Michael Szeliga

Logan Grey

Dale R Durran

2022/12

The Enhancement of Precipitation Due to Mesoscale Convective Organization

Pedro Angulo-Umana

2022

Mesoscale predictability in moist midlatitude cyclones is not sensitive to the slope of the background kinetic energy spectrum

Journal of the Atmospheric Sciences

Daniel J Lloveras

Lydia H Tierney

Dale R Durran

2022/1

An ensemble deep-learning weather prediction system for medium-range to sub-seasonal temperature and precipitation forecasting

AGU Fall Meeting Abstracts

Jonathan Weyn

Dale Durran

Rich Caruana

Nathaniel Cresswell-Clay

2021/12

Are finite‐amplitude effects important in non‐breaking mountain waves?

Quarterly Journal of the Royal Meteorological Society

Johnathan J Metz

Dale R Durran

2021/7

Sub‐seasonal forecasting with a large ensemble of deep‐learning weather prediction models

Journal of Advances in Modeling Earth Systems

Jonathan A Weyn

Dale R Durran

Rich Caruana

Nathaniel Cresswell‐Clay

2021/7

On the dynamics of atmospheric bores

Journal of the Atmospheric Sciences

Kevin R Haghi

Dale R Durran

2021/1/6

The Dynamics of Atmospheric Bores

AGU Fall Meeting Abstracts

Dale Durran

Kevin Haghi

2021/12

Can the issuance of hazardous-weather warnings inform the attribution of extreme events to climate change?

Bulletin of the American Meteorological Society

Dale R Durran

2020/8/1

Is Nonlinearity Important in Non-Breaking Mountain Waves?

19th Conference on Mountain Meteorology

Johnathan Metz

Dale R Durran

2020/7/14

Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere

Journal of Advances in Modeling Earth Systems

Jonathan A. Weyn

Dale R. Durran

Rich Caruana

2020

Unusual trapped mountain lee waves with deep vertical penetration and significant stratospheric amplitude

Journal of the Atmospheric Sciences

Johnathan J Metz

Dale R Durran

Peter N Blossey

2020/1/1

Sub-Seasonal Prediction With A Global Deep-Learning Weather Prediction Model

AGU Fall Meeting Abstracts

Dale R Durran

Jonathan Weyn

Rich Caruana

2020/12

Unavoidable Errors

Bulletin of the American Meteorological Society

Dale R Durran

2020/10/1

See List of Professors in Dale Durran University(University of Washington)

Co-Authors

H-index: 54
gerard roe

gerard roe

University of Washington

H-index: 31
Peter Blossey

Peter Blossey

University of Washington

H-index: 28
Daniel Kirshbaum

Daniel Kirshbaum

McGill University

H-index: 17
Alison Anders

Alison Anders

University of Illinois at Urbana-Champaign

H-index: 15
Nicholas Siler

Nicholas Siler

Oregon State University

H-index: 10
Jonathan A. Weyn

Jonathan A. Weyn

University of Washington

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