Michael S. Pritchard

Michael S. Pritchard

University of California, Irvine

H-index: 30

North America-United States

About Michael S. Pritchard

Michael S. Pritchard, With an exceptional h-index of 30 and a recent h-index of 25 (since 2020), a distinguished researcher at University of California, Irvine, specializes in the field of Climate science, cloud physics, cloud superparameterization, machine learning, high performance computing.

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

Studies of Extreme Weather using Huge Ensembles of Machine-Learning-based Climate Emulators

Climate-invariant machine learning

Understanding precipitation changes through unsupervised machine learning

Improving stratocumulus cloud amounts in a 200‐m resolution multi‐scale modeling framework through tuning of its interior physics

Improving Atmospheric Processes in Earth System Models with Deep Learning Ensembles and Stochastic Parameterizations

Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset

Causally‐informed deep learning to improve climate models and projections

A Practical Probabilistic Benchmark for AI Weather Models

Michael S. Pritchard Information

University

Position

Associate Professor of Earth System Science

Citations(all)

3432

Citations(since 2020)

2848

Cited By

1514

hIndex(all)

30

hIndex(since 2020)

25

i10Index(all)

53

i10Index(since 2020)

47

Email

University Profile Page

University of California, Irvine

Google Scholar

View Google Scholar Profile

Michael S. Pritchard Skills & Research Interests

Climate science

cloud physics

cloud superparameterization

machine learning

high performance computing

Top articles of Michael S. Pritchard

Title

Journal

Author(s)

Publication Date

Studies of Extreme Weather using Huge Ensembles of Machine-Learning-based Climate Emulators

Bulletin of the American Physical Society

William Collins

Ankur Mahesh

Travis O'Brien

Karthik Kashinath

Michael Pritchard

...

2024/3/4

Climate-invariant machine learning

Science Advances

Tom Beucler

Pierre Gentine

Janni Yuval

Ankitesh Gupta

Liran Peng

...

2024/2/7

Understanding precipitation changes through unsupervised machine learning

Environmental Data Science

Griffin Mooers

Tom Beucler

Mike Pritchard

Stephan Mandt

2024/1

Improving stratocumulus cloud amounts in a 200‐m resolution multi‐scale modeling framework through tuning of its interior physics

Journal of Advances in Modeling Earth Systems

Liran Peng

Peter N Blossey

Walter M Hannah

Christopher S Bretherton

Christopher R Terai

...

2024/3

Improving Atmospheric Processes in Earth System Models with Deep Learning Ensembles and Stochastic Parameterizations

arXiv preprint arXiv:2402.03079

Gunnar Behrens

Tom Beucler

Fernando Iglesias-Suarez

Sungduk Yu

Pierre Gentine

...

2024/2/5

Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset

Artificial Intelligence for the Earth Systems

Sungduk Yu

Po-Lun Ma

Balwinder Singh

Sam Silva

Mike Pritchard

2024/1

Causally‐informed deep learning to improve climate models and projections

Journal of Geophysical Research: Atmospheres

Fernando Iglesias‐Suarez

Pierre Gentine

Breixo Solino‐Fernandez

Tom Beucler

Michael Pritchard

...

2024/2/28

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

Residual Diffusion Modeling for Km-scale Atmospheric Downscaling

Morteza Mardani

Noah Brenowitz

Yair Cohen

Jaideep Pathak

Chieh-Yu Chen

...

2024/1/4

Application of the AI2 Climate Emulator to E3SMv2's global atmosphere model, with a focus on precipitation fidelity

Authorea Preprints

James PC Duncan

Elynn Wu

Jean-Christophe Golaz

Peter Martin Caldwell

Oliver Watt-Meyer

...

2024/2/22

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations

arXiv preprint arXiv:2404.06517

Jason Stock

Jaideep Pathak

Yair Cohen

Mike Pritchard

Piyush Garg

...

2024/4/4

Stress-testing the coupled behavior of hybrid physics-machine learning climate simulations on an unseen, warmer climate

arXiv preprint arXiv:2401.02098

Jerry Lin

Mohamed Aziz Bhouri

Tom Beucler

Sungduk Yu

Michael Pritchard

2024/1/4

Huge Ensembles of Weather Extremes using the Fourier Forecasting Neural Network

William Collins

Michael Pritchard

Noah Brenowitz

Yair Cohen

Peter Harrington

...

2024/3/7

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Advances in Neural Information Processing Systems

Sungduk Yu

Walter Hannah

Liran Peng

Jerry Lin

Mohamed Aziz Bhouri

...

2024/2/13

Author Correction: Comparing storm resolving models and climates via unsupervised machine learning

Scientific Reports

Griffin Mooers

Mike Pritchard

Tom Beucler

Prakhar Srivastava

Harshini Mangipudi

...

2024

Using neural networks to learn the forced response of the jet-stream to tropospheric temperature tendencies

Charlotte Connolly

2023

The key role of causal discovery to improve data-driven parameterizations in climate models

EGU General Assembly Conference Abstracts

Fernando Iglesias-Suarez

Veronika Eyring

Pierre Gentine

Tom Beucler

Michael Pritchard

...

2023/5

ACE: A fast, skillful learned global atmospheric model for climate prediction

arXiv preprint arXiv:2310.02074

Oliver Watt-Meyer

Gideon Dresdner

Jeremy McGibbon

Spencer K Clark

Brian Henn

...

2023/10/3

Using neural networks to learn the Jet Stream forced response from natural variability

Artificial Intelligence for the Earth Systems

Charlotte Connolly

Elizabeth A Barnes

Pedram Hassanzadeh

Mike Pritchard

2023/4

Vertical resolution impacts explicit simulation of deep convection

Journal of Advances in Modeling Earth Systems

AM Jenney

SL Ferretti

MS Pritchard

2023/10

See List of Professors in Michael S. Pritchard University(University of California, Irvine)

Co-Authors

H-index: 132
Pierre Baldi

Pierre Baldi

University of California, Irvine

H-index: 111
James Randerson

James Randerson

University of California, Irvine

H-index: 97
Christopher S. Bretherton

Christopher S. Bretherton

University of Washington

H-index: 49
Marat Khairoutdinov

Marat Khairoutdinov

Stony Brook University

H-index: 42
Richard C. J. Somerville

Richard C. J. Somerville

University of California, San Diego

H-index: 20
Jordan Ott

Jordan Ott

University of California, Irvine

academic-engine