139 citations as recorded by crossref.

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37. Impact of Drought on Isoprene Fluxes Assessed Using Field Data, Satellite-Based GLEAM Soil Moisture and HCHO Observations from OMI B. Opacka et al. 10.3390/rs14092021
38. Isotopic constraints confirm the significant role of microbial nitrogen oxides emissions from the land and ocean environment W. Song et al. 10.1093/nsr/nwac106
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41. Estimation of fossil-fuel CO<sub>2</sub> emissions using satellite measurements of "proxy" species I. Konovalov et al. 10.5194/acp-16-13509-2016
42. Inverse modeling of Texas NO<sub>x</sub> emissions using space-based and ground-based NO<sub>2</sub> observations W. Tang et al. 10.5194/acp-13-11005-2013
43. Top‐Down CO Emissions Based On IASI Observations and Hemispheric Constraints on OH Levels J. Müller et al. 10.1002/2017GL076697
44. Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study A. Rey-Pommier et al. 10.5194/acp-23-13565-2023
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47. Substantial Underestimation of Post-Harvest Burning Emissions in the North China Plain Revealed by Multi-Species Space Observations T. Stavrakou et al. 10.1038/srep32307
48. Comparison of model-simulated tropospheric NO2 over China with GOME-satellite data J. Ma et al. 10.1016/j.atmosenv.2005.09.029
49. Improvement and evaluation of simulated global biogenic soil NO emissions in an AC-GCM J. Steinkamp & M. Lawrence 10.5194/acp-11-6063-2011
50. Top-down estimates of biomass burning emissions of black carbon in the Western United States Y. Mao et al. 10.5194/acp-14-7195-2014
51. The tropospheric cycle of H₂: a critical review D. Ehhalt & F. Rohrer 10.1111/j.1600-0889.2009.00416.x
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53. Measurement of gaseous and particulate formaldehyde in the Yangtze River Delta, China R. Xu et al. 10.1016/j.atmosenv.2019.117114
54. Key chemical NO<sub>x</sub> sink uncertainties and how they influence top-down emissions of nitrogen oxides T. Stavrakou et al. 10.5194/acp-13-9057-2013
55. Twelve years of global observations of formaldehyde in the troposphere using GOME and SCIAMACHY sensors I. De Smedt et al. 10.5194/acp-8-4947-2008
56. Emissions estimation from satellite retrievals: A review of current capability D. Streets et al. 10.1016/j.atmosenv.2013.05.051
57. An Observing System Simulation Experiment Analysis of How Well Geostationary Satellite Trace‐Gas Observations Constrain NOx Emissions in the US C. Hsu et al. 10.1029/2023JD039323
58. Satellite evidence for a large source of formic acid from boreal and tropical forests T. Stavrakou et al. 10.1038/ngeo1354
59. Sensitivity analysis of atmospheric oxidation capacity in Beijing based on the GRAPES-CUACE adjoint model C. Wang et al. 10.1016/j.atmosenv.2023.119641
60. Development of the adjoint of GEOS-Chem D. Henze et al. 10.5194/acp-7-2413-2007
61. Soil nitric oxide emissions from terrestrial ecosystems in China: a synthesis of modeling and measurements Y. Huang & D. Li 10.1038/srep07406
62. Isoprene emissions over Asia 1979–2012: impact of climate and land-use changes T. Stavrakou et al. 10.5194/acp-14-4587-2014
63. Modelling the oxidation of seventeen volatile organic compounds to track yields of CO and CO2 A. Grant et al. 10.1016/j.atmosenv.2010.06.049
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65. Optimizing the Isoprene Emission Model MEGAN With Satellite and Ground‐Based Observational Constraints C. DiMaria et al. 10.1029/2022JD037822
66. Multi-model ensemble simulations of tropospheric NO<sub>2</sub> compared with GOME retrievals for the year 2000 T. van Noije et al. 10.5194/acp-6-2943-2006
67. Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980–2010 period C. Granier et al. 10.1007/s10584-011-0154-1
68. NOx emissions in France in 2019–2021 as estimated by the high-spatial-resolution assimilation of TROPOMI NO2 observations R. Plauchu et al. 10.5194/acp-24-8139-2024
69. The global lightning-induced nitrogen oxides source U. Schumann & H. Huntrieser 10.5194/acp-7-3823-2007
70. Drought impacts on photosynthesis, isoprene emission and atmospheric formaldehyde in a mid-latitude forest Y. Zheng et al. 10.1016/j.atmosenv.2017.08.017
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72. Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios N. Elguindi et al. 10.1029/2020EF001520
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74. Anthropogenic NOx Emission Estimations over East China for 2015 and 2019 Using OMI Satellite Observations and the New Inverse Modeling System CIF-CHIMERE D. Savas et al. 10.3390/atmos14010154
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76. The impact of observing characteristics on the ability to predict ozone under varying polluted photochemical regimes P. Hamer et al. 10.5194/acp-15-10645-2015
77. Analysis of aircraft and satellite measurements from the Intercontinental Chemical Transport Experiment (INTEX-B) to quantify long-range transport of East Asian sulfur to Canada A. van Donkelaar et al. 10.5194/acp-8-2999-2008
78. Evaluation of the LOTOS-EUROS NO<sub>2</sub> simulations using ground-based measurements and S5P/TROPOMI observations over Greece I. Skoulidou et al. 10.5194/acp-21-5269-2021
79. Global and regional impacts of land cover changes on isoprene emissions derived from spaceborne data and the MEGAN model B. Opacka et al. 10.5194/acp-21-8413-2021
80. Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. 10.5194/gmd-16-479-2023
81. Intercomparison of SCIAMACHY and OMI tropospheric NO2 columns: Observing the diurnal evolution of chemistry and emissions from space K. Boersma et al. 10.1029/2007JD008816
82. Satellite remote sensing of surface air quality R. Martin 10.1016/j.atmosenv.2008.07.018
83. Adjoint model enhanced plume reconstruction from tomographic remote sensing measurements E. Olaguer 10.1016/j.atmosenv.2011.09.020
84. ANISORROPIA: the adjoint of the aerosol thermodynamic model ISORROPIA S. Capps et al. 10.5194/acp-12-527-2012
85. Intercomparison of NO<sub><i>x</i></sub> emission inventories over East Asia J. Ding et al. 10.5194/acp-17-10125-2017
86. Grid‐based versus big region approach for inverting CO emissions using Measurement of Pollution in the Troposphere (MOPITT) data T. Stavrakou & J. Müller 10.1029/2005JD006896
87. Multiannual changes of CO<sub>2</sub> emissions in China: indirect estimates derived from satellite measurements of tropospheric NO<sub>2</sub> columns E. Berezin et al. 10.5194/acp-13-9415-2013
88. Technical Note: Adjoint formulation of the TOMCAT atmospheric transport scheme in the Eulerian backtracking framework (RETRO-TOM) P. Haines et al. 10.5194/acp-14-5477-2014
89. Inverse modeling of surface NOx anthropogenic emission fluxes in the Paris area during the Air Pollution Over Paris Region (ESQUIF) campaign I. Pison et al. 10.1029/2007JD008871
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97. Trans-Pacific transport of reactive nitrogen and ozone to Canada during spring T. Walker et al. 10.5194/acp-10-8353-2010
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99. Toward the next generation of air quality monitoring: Ozone K. Bowman 10.1016/j.atmosenv.2013.07.007
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103. Analysis of CO in the tropical troposphere using Aura satellite data and the GEOS-Chem model: insights into transport characteristics of the GEOS meteorological products J. Logan et al. 10.5194/acp-10-12207-2010
104. Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
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109. Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions M. Cooper et al. 10.1002/2016JD025985
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126. What Can We Expect from Data Assimilation for Air Quality Forecast? Part I: Quantification with Academic Test Cases L. Menut & B. Bessagnet 10.1175/JTECH-D-18-0002.1
127. Satellite constraint for emissions of nitrogen oxides from anthropogenic, lightning and soil sources over East China on a high-resolution grid J. Lin 10.5194/acp-12-2881-2012
128. Quantifying Emissions of CO and NOx Using Observations From MOPITT, OMI, TES, and OSIRIS X. Zhang et al. 10.1029/2018JD028670
129. Inverse modeling of global and regional CH4 emissions using SCIAMACHY satellite retrievals P. Bergamaschi et al. 10.1029/2009JD012287
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