Jonathan Hobbs

Orcid: 0000-0003-1679-0898

According to our database¹, Jonathan Hobbs authored at least 9 papers between 2017 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2022

Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments.

[BibT_eX]

[DOI]

Technometrics, 2022

Spatial Surface Reflectance Retrievals for Visible/Shortwave Infrared Remote Sensing via Gaussian Process Priors.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals.

[BibT_eX]

[DOI]

Pratik Patil

Mikael Kuusela

Jonathan Hobbs

SIAM/ASA J. Uncertain. Quantification, 2022

2021

Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations.

[BibT_eX]

[DOI]

Remote. Sens., 2021

Post hoc Uncertainty Quantification for Remote Sensing Observing Systems.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2021

2020

Intercomparison of Remote Sensing Retrievals: An Examination of Prior-Induced Biases in Averaging Kernel Corrections.

[BibT_eX]

[DOI]

Hai Nguyen

Jonathan Hobbs

Remote. Sens., 2020

2019

Sensitivity of Optimal Estimation Satellite Retrievals to Misspecification of the Prior Mean and Covariance, with Application to OCO-2 Retrievals.

[BibT_eX]

[DOI]

Hai Nguyen

Noel Cressie

Jonathan Hobbs

Remote. Sens., 2019

Accelerated MCMC for Satellite-Based Measurements of Atmospheric CO2.

[BibT_eX]

[DOI]

Remote. Sens., 2019

2017

Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO<sub>2</sub> from Satellite Data.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2017

Jonathan Hobbs

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