88 citations as recorded by crossref.

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60. Top-Down Versus Bottom-Up E. Nisbet & R. Weiss 10.1126/science.1189936
61. Inverse modeling of global and regional CH4 emissions using SCIAMACHY satellite retrievals P. Bergamaschi et al. 10.1029/2009JD012287
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63. Satellite Measurement of GHG Emissions: Prospects for Enhancing Transparency and Answerability under International Law T. Aganaba-Jeanty & A. Huggins 10.1017/S2047102519000104
64. Application of Gauss's theorem to quantify localized surface emissions from airborne measurements of wind and trace gases S. Conley et al. 10.5194/amt-10-3345-2017
65. On variational data assimilation for estimating the model initial conditions and emission fluxes for short-term forecasting of SOx concentrations J. Vira & M. Sofiev 10.1016/j.atmosenv.2011.09.066
66. A pragmatic protocol for characterising errors in atmospheric inversions of methane emissions over Europe B. Szénási et al. 10.1080/16000889.2021.1914989
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68. Top-down CO emission estimates using TROPOMI CO data in the TM5-4DVAR (r1258) inverse modeling suit J. Nüß et al. 10.5194/gmd-18-2861-2025
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70. FLEXINVERT: an atmospheric Bayesian inversion framework for determining surface fluxes of trace species using an optimized grid R. Thompson & A. Stohl 10.5194/gmd-7-2223-2014
71. Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models? Z. Tan et al. 10.5194/acp-16-12649-2016
72. Application of stable isotope analysis for improved understanding of the methane budget: comparison of TROICA measurements with TM3 model simulations O. Tarasova et al. 10.1007/s10874-010-9157-y
73. A three-dimensional synthesis inversion of the molecular hydrogen cycle: Sources and sinks budget and implications for the soil uptake P. Bousquet et al. 10.1029/2010JD014599
74. Evaluation of methane emissions from West Siberian wetlands based on inverse modeling H. Kim et al. 10.1088/1748-9326/6/3/035201
75. A multitower measurement network estimate of California's methane emissions S. Jeong et al. 10.1002/jgrd.50854
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87. Modeling energy efficiency to improve air quality and health effects of China’s cement industry S. Zhang et al. 10.1016/j.apenergy.2016.10.030
88. Sensitivity of the carbon cycle in the Arctic to climate change A. McGuire et al. 10.1890/08-2025.1