Statistical bias and variance for the regularized inverse problem: Application to space-based atmospheric CO2 retrievals

Author:

Cressie N.12,Wang R.3,Smyth M.4,Miller C. E.4

Affiliation:

1. National Institute for Applied Statistics Research Australia; University of Wollongong; Wollongong New South Wales Australia

2. Jet Propulsion Laboratory; Pasadena California USA

3. Department of Statistics; Ohio State University; Columbus Ohio USA

4. Jet Propulsion Laboratory; NASA; Pasadena California USA

Funder

National Aeronautics and Space Administration

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals;SIAM/ASA Journal on Uncertainty Quantification;2022-08-28

2. CO2 Retrieval Method Based on GaoFen-5 Satellite Data;2022-08-21

3. Post hoc Uncertainty Quantification for Remote Sensing Observing Systems;SIAM/ASA Journal on Uncertainty Quantification;2021-01

4. Spectroscopic uncertainty impacts on OCO-2/3 retrievals of XCO2;Journal of Quantitative Spectroscopy and Radiative Transfer;2020-12

5. Quantifying uncertainty for remote spectroscopy of surface composition;Remote Sensing of Environment;2020-09

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