Alistair Adcroft

Alistair Adcroft

Princeton University

H-index: 48

North America-United States

About Alistair Adcroft

Alistair Adcroft, With an exceptional h-index of 48 and a recent h-index of 36 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Numerical methods, Ocean modeling, Iceberg modeling.

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

Improved Equatorial Upper Ocean Vertical Mixing in the NOAA/GFDL OM4 Model

Towards improving numerical sea ice predictions with data assimilation and machine learning

Parameterizing Vertical Turbulent Mixing Coefficients In The Ocean Surface Boundary Layer Using Machine Learning

Machine learning for online sea ice bias correction within global ice‐ocean simulations

Parameterizing vertical mixing coefficients in the ocean surface boundary layer using neural networks

Implementation and evaluation of a machine learned mesoscale eddy parameterization into a numerical ocean circulation model

Learning Machine Learning with Lorenz-96

Deep learning of systematic sea ice model errors from data assimilation increments

Alistair Adcroft Information

University

Position

___

Citations(all)

14535

Citations(since 2020)

6408

Cited By

10446

hIndex(all)

48

hIndex(since 2020)

36

i10Index(all)

71

i10Index(since 2020)

60

Email

University Profile Page

Princeton University

Google Scholar

View Google Scholar Profile

Alistair Adcroft Skills & Research Interests

Numerical methods

Ocean modeling

Iceberg modeling

Top articles of Alistair Adcroft

Title

Journal

Author(s)

Publication Date

Improved Equatorial Upper Ocean Vertical Mixing in the NOAA/GFDL OM4 Model

Authorea Preprints

Brandon G Reichl

Andrew T Wittenberg

Stephen M Griffies

Alistair Adcroft

2024/2/13

Towards improving numerical sea ice predictions with data assimilation and machine learning

William Gregory

Mitchell Bushuk

Yongfei Zhang

Alistair Adcroft

Laure Zanna

2024/3/7

Parameterizing Vertical Turbulent Mixing Coefficients In The Ocean Surface Boundary Layer Using Machine Learning

Aakash Sane

Brandon Reichl

Alistair Adcroft

Laure Zanna NYU

2024/2/22

Machine learning for online sea ice bias correction within global ice‐ocean simulations

Geophysical Research Letters

William Gregory

Mitchell Bushuk

Yongfei Zhang

Alistair Adcroft

Laure Zanna

2024/2/16

Parameterizing vertical mixing coefficients in the ocean surface boundary layer using neural networks

Journal of Advances in Modeling Earth Systems

Aakash Sane

Brandon G Reichl

Alistair Adcroft

Laure Zanna

2023/10

Implementation and evaluation of a machine learned mesoscale eddy parameterization into a numerical ocean circulation model

Journal of Advances in Modeling Earth Systems

Cheng Zhang

Pavel Perezhogin

Cem Gultekin

Alistair Adcroft

Carlos Fernandez‐Granda

...

2023/10

Learning Machine Learning with Lorenz-96

Authorea Preprints

Dhruv Balwada

Ryan Abernathey

Shantanu Acharya

Alistair Adcroft

Judith Brener

...

2023/12/27

Deep learning of systematic sea ice model errors from data assimilation increments

Journal of Advances in Modeling Earth Systems

William Gregory

Mitchell Bushuk

Alistair Adcroft

Yongfei Zhang

Laure Zanna

2023/10

Comparing two parameterizations for the restratification effect of mesoscale eddies in an isopycnal ocean model

Journal of Advances in Modeling Earth Systems

Nora Loose

Gustavo M Marques

Alistair Adcroft

Scott Bachman

Stephen M Griffies

...

2023/12

A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12 v1. 0)

Geoscientific Model Development Discussions

Andrew C Ross

Charles A Stock

Alistair Adcroft

Enrique Curchitser

Robert Hallberg

...

2023/8/9

Remote versus local impacts of energy backscatter on the North Atlantic SST biases in a global ocean model

Geophysical Research Letters

Chiung‐Yin Chang

Alistair Adcroft

Laure Zanna

Robert Hallberg

Stephen M Griffies

2023/11/16

Improved Upper Ocean Vertical Mixing Parameterization for Simulating the Tropical Pacific Ocean in Climate Models

103rd AMS Annual Meeting

Brandon Reichl

Andrew Thorne Wittenberg

Alistair Adcroft

Stephen Griffies

2023/1/12

Implementation of a data-driven equation-discovery mesoscale parameterization into an ocean model

arXiv preprint arXiv:2311.02517

Pavel Perezhogin

Cheng Zhang

Alistair Adcroft

Carlos Fernandez-Granda

Laure Zanna

2023/11/4

The role of transient eddies and standing meanders in an idealized Southern Ocean model

Authorea Preprints

Sina Khani

Alistair Adcroft

Malte Jansen

2022/11/22

Parameterizing eddy form stress in a thickness-weighted average isopycnal ocean model

Authorea Preprints

Nora Loose

Gustavo M Marques

Alistair Adcroft

Scott Daniel Bachman

Stephen M Griffies

...

2022/12/7

A potential energy analysis of ocean surface mixed layers

Journal of Geophysical Research: Oceans

Brandon G Reichl

Alistair Adcroft

Stephen M Griffies

Robert Hallberg

2022/7

Ocean currents break up a tabular iceberg

Science Advances

Alex Huth

Alistair Adcroft

Olga Sergienko

Nuzhat Khan

2022/10/19

Stochastic-Deep Learning Parameterization of Subgrid Ocean Processes in the MOM6 Ocean Model

AGU Fall Meeting Abstracts

Cheng Zhang

Pavel Perezhogin

Cem Gultekin

Alistair Adcroft

Laure Zanna

2022/12

Parameterizing Tabular‐Iceberg Decay in an Ocean Model

Journal of Advances in Modeling Earth Systems

A Huth

A Adcroft

O Sergienko

2022/3

Effective drift velocity from turbulent transport by vorticity

Physical Review Fluids

Hussein Aluie

Shikhar Rai

Hao Yin

Aarne Lees

Dongxiao Zhao

...

2022/10/3

See List of Professors in Alistair Adcroft University(Princeton University)

Co-Authors

H-index: 84
John Marshall

John Marshall

Massachusetts Institute of Technology

H-index: 64
Detlef Stammer

Detlef Stammer

Universität Hamburg

H-index: 41
Lev T. Perelman

Lev T. Perelman

Harvard University

H-index: 40
V. Balaji

V. Balaji

Princeton University

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