Michael Bertolacci

About Michael Bertolacci

Michael Bertolacci, With an exceptional h-index of 6 and a recent h-index of 4 (since 2020), a distinguished researcher at University of Wollongong, specializes in the field of Statistics.

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

Inferring changes to the global carbon cycle with WOMBAT v2. 0, a hierarchical flux-inversion framework

Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations

Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals

Earth’s CO2 battle: a view from space

National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake, Earth Syst. Sci. Data, 15, 963–1004

Evaluating probabilistic forecasts for maritime engineering operations

From many to one: Consensus inference in a MIP

Adaptspec-x: Covariate-dependent spectral modeling of multiple nonstationary time series

Michael Bertolacci Information

University

Position

Research Fellow

Citations(all)

107

Citations(since 2020)

69

Cited By

41

hIndex(all)

6

hIndex(since 2020)

4

i10Index(all)

3

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Michael Bertolacci Skills & Research Interests

Statistics

Top articles of Michael Bertolacci

Inferring changes to the global carbon cycle with WOMBAT v2. 0, a hierarchical flux-inversion framework

The Annals of Applied Statistics

2024/3

Michael Bertolacci
Michael Bertolacci

H-Index: 2

Yi Cao
Yi Cao

H-Index: 10

Noel Cressie
Noel Cressie

H-Index: 38

Neutral Tropical African CO2 Exchange Estimated From Aircraft and Satellite Observations

Global Biogeochemical Cycles

2023/12

Improved Constraints on the Recent Terrestrial Carbon Sink Over China by Assimilating OCO‐2 XCO2 Retrievals

Journal of Geophysical Research: Atmospheres

2023/7/27

Earth’s CO2 battle: a view from space

Significance

2023/2/1

National CO2 budgets (2015–2020) inferred from atmospheric CO2 observations in support of the global stocktake, Earth Syst. Sci. Data, 15, 963–1004

Earth System Science Data Discussions

2022/7/12

Evaluating probabilistic forecasts for maritime engineering operations

Data-Centric Engineering

2023/1

Michael Bertolacci
Michael Bertolacci

H-Index: 2

From many to one: Consensus inference in a MIP

Geophysical Research Letters

2022/7/28

Noel Cressie
Noel Cressie

H-Index: 38

Michael Bertolacci
Michael Bertolacci

H-Index: 2

Adaptspec-x: Covariate-dependent spectral modeling of multiple nonstationary time series

Journal of Computational and Graphical Statistics

2022/4/3

Michael Bertolacci
Michael Bertolacci

H-Index: 2

Modelling the growth of atmospheric nitrous oxide using a global hierarchical inversion

Atmospheric Chemistry and Physics

2022/10/10

WOMBAT v1. 0: A fully Bayesian global flux-inversion framework

Geoscientific Model Development Discussions

2021/7/12

AdaptSPEC-X: a spectral method for handling spatially-dependent nonstationarity

2021/7/6

Michael Bertolacci
Michael Bertolacci

H-Index: 2

WOMBAT: A fully Bayesian global flux-inversion framework

arXiv preprint arXiv:2102.04004

2021/2/8

See List of Professors in Michael Bertolacci University(University of Wollongong)

Co-Authors

academic-engine