ProfessorsProfessors of University of Nevada, RenoColin James Grudzien

Colin James Grudzien

University of Nevada, Reno

H-index: 6

North America-United States

About Colin James Grudzien

Colin James Grudzien, With an exceptional h-index of 6 and a recent h-index of 5 (since 2020), a distinguished researcher at University of Nevada, Reno, specializes in the field of Data Assimilation, Bayesian Inference, Machine Learning, Optimization, Dynamical Systems.

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

DAPPER: data assimilation with Python: a package for experimental research

DataAssimilationBenchmarks. jl: a data assimilation research framework.

A fast, single-iteration ensemble Kalman smoother for sequential data assimilation

A Tutorial on Bayesian Data Assimilation

Data assimilation for chaotic systems

On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments

Colin James Grudzien Information

University	University of Nevada, Reno
Position	___
Citations(all)	185
Citations(since 2020)	142
Cited By	123
hIndex(all)	6
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	University of Nevada, Reno
Google Scholar	View Google Scholar Profile

Colin James Grudzien Skills & Research Interests

Data Assimilation

Bayesian Inference

Machine Learning

Optimization

Dynamical Systems

Top articles of Colin James Grudzien

Title	Journal	Author(s)	Publication Date
DAPPER: data assimilation with Python: a package for experimental research	Journal of Open Source Software	Patrick N Raanes Yumeng Chen Colin Grudzien	2024/2/29
DataAssimilationBenchmarks. jl: a data assimilation research framework.	Journal of Open Source Software	Colin Grudzien Charlotte Merchant Sukhreen Sandhu	2022/11/11
A fast, single-iteration ensemble Kalman smoother for sequential data assimilation	Geoscientific Model Development	Colin Grudzien Marc Bocquet	2022/10/20
A Tutorial on Bayesian Data Assimilation		Colin Grudzien Marc Bocquet	2021/12/14
Data assimilation for chaotic systems		Alberto Carrassi C Grudzien M Bocquet J Demaeyer P Raanes ...	2021
On the numerical integration of the Lorenz-96 model, with scalar additive noise, for benchmark twin experiments	Geosci. Model Dev.	Grudzien C. Bocquet M. Carrassi A.	2020