Articles | Volume 8, issue 4
Geosci. Model Dev., 8, 1259–1273, 2015
https://doi.org/10.5194/gmd-8-1259-2015
Geosci. Model Dev., 8, 1259–1273, 2015
https://doi.org/10.5194/gmd-8-1259-2015
Development and technical paper
29 Apr 2015
Development and technical paper | 29 Apr 2015

A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion

J. Ray et al.

Related authors

A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions
J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders, and S. A. McKenna
Geosci. Model Dev., 7, 1901–1918, https://doi.org/10.5194/gmd-7-1901-2014,https://doi.org/10.5194/gmd-7-1901-2014, 2014

Related subject area

Numerical methods
Islet: interpolation semi-Lagrangian element-based transport
Andrew M. Bradley, Peter A. Bosler, and Oksana Guba
Geosci. Model Dev., 15, 6285–6310, https://doi.org/10.5194/gmd-15-6285-2022,https://doi.org/10.5194/gmd-15-6285-2022, 2022
Short summary
Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains
Léo Pujol, Pierre-André Garambois, and Jérôme Monnier
Geosci. Model Dev., 15, 6085–6113, https://doi.org/10.5194/gmd-15-6085-2022,https://doi.org/10.5194/gmd-15-6085-2022, 2022
Short summary
Assessing the robustness and scalability of the accelerated pseudo-transient method
Ludovic Räss, Ivan Utkin, Thibault Duretz, Samuel Omlin, and Yuri Y. Podladchikov
Geosci. Model Dev., 15, 5757–5786, https://doi.org/10.5194/gmd-15-5757-2022,https://doi.org/10.5194/gmd-15-5757-2022, 2022
Short summary
Assessment of stochastic weather forecast of precipitation near European cities, based on analogs of circulation
Meriem Krouma, Pascal Yiou, Céline Déandreis, and Soulivanh Thao
Geosci. Model Dev., 15, 4941–4958, https://doi.org/10.5194/gmd-15-4941-2022,https://doi.org/10.5194/gmd-15-4941-2022, 2022
Short summary
University of Warsaw Lagrangian Cloud Model (UWLCM) 2.0: adaptation of a mixed Eulerian–Lagrangian numerical model for heterogeneous computing clusters
Piotr Dziekan and Piotr Zmijewski
Geosci. Model Dev., 15, 4489–4501, https://doi.org/10.5194/gmd-15-4489-2022,https://doi.org/10.5194/gmd-15-4489-2022, 2022
Short summary

Cited articles

Andres, R. J., Boden, T. A., Bréon, F.-M., Ciais, P., Davis, S., Erickson, D., Gregg, J. S., Jacobson, A., Marland, G., Miller, J., Oda, T., Olivier, J. G. J., Raupach, M. R., Rayner, P., and Treanton, K.: A synthesis of carbon dioxide emissions from fossil-fuel combustion, Biogeosciences, 9, 1845–1871, https://doi.org/10.5194/bg-9-1845-2012, 2012.
Babacan, S. D., Molina, R., and Katsaggelos, A. K.: Bayesian compressive sensing using Laplace priors, IEEE T. Signal Proces., 19, 55–63, https://doi.org/10.1109/TIP.2009.2032894, 2010.
Baraniuk, R., Davenport, M., DeVore, R., and Wakin, M.: A simple proof of the restricted isometry property for random matrices, Constr. Approx., 28, 253–263, 2008.
Baraniuk, R., Cevher, V., Duarte, M., and Hegde, C.: Model-based compressive sensing, IEEE T. Inform. Theory, 56, 1982–2001, 2010.
Candes, E. and Tao, T.: Near optimal signal recovery from random projections: universal encoding strategies?, IEEE T. Inform. Theory, 52, 5406–5425, 2006.
Download
Short summary
The paper presents a statistical method (shrinkage) that can be used to estimate rough emission fields, e.g., fossil fuel CO2 emissions, from measurements of concentrations. This method is demonstrated in a test case where the emissions are modeled using wavelets. We find that the method can eliminate unnecessary complexity from the wavelet model, ensures non-negativity of the emissions, is computationally efficient and is, by construction, insensitive to prior guesses of the total emission.