B. Toms

发表

Usage of Existing Meteorological Data Networks for Parameterized Road Ice Formation Modeling

Y. Hong, J. Basara, B. Toms, 2017 .

Detection of a wall effect in laminar flow of solutions of a linear polymer

B. Toms, 1949 .

Deep Learning recognizes weather and climate patterns

Karthik Kashinath, Christopher Beckham, Tegan Maharaj, 2018 .

ClimateNet: bringing the power of Deep Learning to the climate community via open datasets and architectures

Karthik Kashinath, Sookyung Kim, Samira Ebrahimi Kahou, 2018 .

Tutorial on Machine Learning and Deep Learning for the Environmental and Geosciences

Karthik Kashinath, Prabhat, Anuj Karpatne, 2019 .

A Coaxial-Cylinder Elastoviscometer

J. Oldroyd, B. Toms, D. Strawbridge, 1951 .

Some Observations on the Flow of Linear Polymer Solutions Through Straight Tubes at Large Reynolds Numbers

B. A. Toms, B. Toms, 1948 .

Convective Environments Across the Maritime Continent During the Boreal Summer Intraseasonal Oscillation

B. Toms, 2018 .

Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability pdf

Imme Ebert-Uphoff, Benjamin A. Toms, Elizabeth A. Barnes, 2019, Journal of Advances in Modeling Earth Systems.

Analysis of a Lower-Tropospheric Gravity Wave Train Using Direct and Remote Sensing Measurement Systems

S. Koch, B. Toms, D. Turner, 2017 .

Assessing Decadal Predictability in an Earth‐System Model Using Explainable Neural Networks

J. Hurrell, E. Barnes, B. Toms, 2021, Geophysical Research Letters.

The Global Teleconnection Signature of the Madden‐Julian Oscillation and Its Modulation by the Quasi‐Biennial Oscillation

Benjamin A. Toms, Elizabeth A. Barnes, Eric D. Maloney, 2020, Journal of Geophysical Research: Atmospheres.

ClimateNet: an expert-labeled open dataset and deep learning architecture for enabling high-precision analyses of extreme weather

Karthik Kashinath, Thorsten Kurth, Mayur Mudigonda, 2021 .

Topographic Effects on the Luzon Diurnal Cycle during the BSISO

E. Maloney, B. Toms, S. C. Heever, 2019, Journal of the Atmospheric Sciences.

The Boreal Summer Madden–Julian Oscillation and Moist Convective Morphology over the Maritime Continent

E. Maloney, B. Toms, S. C. Heever, 2020, Journal of the Atmospheric Sciences.

Large-eddy Simulation of Flow Over a Backward Facing Step: Assessment of Inflow Boundary Conditions, Eddy Viscosity Models and Wall Functions

Benjamin A. Toms, B. Toms, 2015 .

Elastic and viscous properties of dilute solutions of polymethyl methacrylate in organic liquids

B. Toms, D. Strawbridge, 1953 .

Deep Learning for Scientific Inference from Geophysical Data: The Madden-Julian Oscillation as a Test Case

Karthik Kashinath, Prabhat, Da Yang, 2019, 1902.04621.

Testing the Reliability of Interpretable Neural Networks in Geoscience Using the Madden-Julian Oscillation

Karthik Kashinath, Prabhat, Da Yang, 2019 .

Elastic Properties of Ox Synovial Fluid

B. Toms, A. Ogston, J. Stanier, 1950, Nature.

Indicator Patterns of Forced Change Learned by an Artificial Neural Network

J. Hurrell, E. Barnes, I. Ebert‐Uphoff, 2020, Journal of Advances in Modeling Earth Systems.

On the early experiments on drag reduction by polymers

B. Toms, 1977 .

Indicator Patterns of Forced Change Learned by an Artificial Neural Network

David Anderson, Chuck Anderson, Imme Ebert-Uphoff, 2020, Journal of Advances in Modeling Earth Systems.

Identifying Opportunities for Skillful Weather Prediction with Interpretable Neural Networks

Elizabeth A. Barnes, Benjamin Toms, Kirsten Mayer, 2020, 2012.07830.

ClimateNet: an expert-labelled open dataset and Deep Learning architecture for enabling high-precision analyses of extreme weather

Sol Kim, Prabhat, Thorsten Kurth, 2020 .

The Colorado State University Convective CLoud Outflows and UpDrafts Experiment (C3LOUD-Ex)

Gregory R. Herman, J. M. Park, P. Kennedy, 2021, Bulletin of the American Meteorological Society.