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The GHGSat-D imaging spectrometer

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Update of the HITRAN collision-induced absorption section

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Quantifying CH 4 emissions from hard coal mines using mobile sun-viewing Fourier transform spectrometry

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CFD simulation of CO2 dispersion from urban thermal power plant: Analysis of turbulent Schmidt number and comparison with Gaussian plume model and measurements

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Intercomparison of open-path trace gas measurements with two dual-frequency-comb spectrometers

Waxman, E. M., Cossel, K. C., Truong, G.-W., Giorgetta, F. R., Swann, W. C., Coburn, S., Wright, R., Rieker, G. B., Coddington, I. R., & Newbury, N. R. (2017) · Atmospheric measurement techniques · doi:10.5194/amt-10-3295-2017 · Cited by 99

MUCCnet: Munich Urban Carbon Column network

Dietrich, F., Chen, J., Voggenreiter, B., Aigner, P., Nachtigall, N., & Reger, B. (2021) · Atmospheric Measurement Techniques · doi:10.5194/amt-14-1111-2021 · Cited by 98

Southern California megacity CO 2 , CH 4 , and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model

Hedelius, J. K., Liu, J., Oda, T., Maksyutov, S. S., Roehl, C. M., Iraci, L. T., Podolske, J. R., Hillyard, P., Liang, J., Gurney, K. R., et al. (2018) · Atmospheric chemistry and physics · doi:10.5194/acp-18-16271-2018 · Cited by 93

Improved calibration procedures for the EM27/SUN spectrometers of the COllaborative Carbon Column Observing Network (COCCON)

Alberti, C., Hase, F., Frey, M., Dubravica, D., Blumenstock, T., Dehn, A., Castracane, P., Surawicz, G., Harig, R., Baier, B. C., et al. (2022) · Atmospheric measurement techniques · doi:10.5194/amt-15-2433-2022 · Cited by 90

Emission Monitoring Mobile Experiment (EMME): an overview and first results of the St. Petersburg megacity campaign 2019

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XCO 2 in an emission hot-spot region: the COCCON Paris campaign 2015

Vogel, F., Frey, M., Staufer, J., Hase, F., Broquet, G., Xueref-Rémy, I., Chevallier, F., Ciais, P., Sha, M. K., Chélin, P., et al. (2019) · Atmospheric chemistry and physics · doi:10.5194/acp-19-3271-2019 · Cited by 84

Quantification of CH 4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI

Tu, Q., Hase, F., Schneider, M. F., García, O., Blumenstock, T., Borsdorff, T., Frey, M., Khosrawi, F., Lorente, A., Alberti, C., et al. (2022) · Atmospheric chemistry and physics · doi:10.5194/acp-22-295-2022 · Cited by 84

Methane emissions from dairies in the Los Angeles Basin

Viatte, C., Lauvaux, T., Hedelius, J. K., Parker, H. A., Chen, J., Jones, T., Franklin, J. E., Deng, A. J., Gaudet, B., Verhulst, K. R., et al. (2017) · Atmospheric chemistry and physics · doi:10.5194/acp-17-7509-2017 · Cited by 84

Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework

Jones, T., Franklin, J. E., Chen, J., Dietrich, F., Hajny, K. D., Paetzold, J. C., Wenzel, A., Gately, C. K., Gottlieb, E. W., Parker, H. A., et al. (2021) · Atmospheric chemistry and physics · doi:10.5194/acp-21-13131-2021 · Cited by 75

Assessment of errors and biases in retrievals of X CO 2 , X CH 4 , X CO , and X N 2 O from a 0.5 cm –1 resolution solar-viewing spectrometer

Hedelius, J. K., Viatte, C., Wunch, D., Roehl, C. M., Toon, G. C., Chen, J., Jones, T., Wofsy, S. C., Franklin, J. E., Parker, H., et al. (2016) · Atmospheric Measurement Techniques · doi:10.5194/amt-9-3527-2016 · Cited by 73

Intercomparison of atmospheric CO 2 and CH 4 abundances on regional scales in boreal areas using Copernicus Atmosphere Monitoring Service (CAMS) analysis, COllaborative Carbon Column Observing Network (COCCON) spectrometers, and Sentinel-5 Precursor satellite observations

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Analysis of total column CO 2 and CH 4 measurements in Berlin with WRF-GHG

Zhao, X., Marshall, J., Hachinger, S., Gerbig, C., Frey, M., Hase, F., & Chen, J. (2019) · Atmospheric chemistry and physics · doi:10.5194/acp-19-11279-2019 · Cited by 68

Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite

Shekhar, A., Chen, J., Paetzold, J. C., Dietrich, F., Zhao, X., Bhattacharjee, S., Ruisinger, V., & Wofsy, S. C. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab9cfe · Cited by 66

Long-term column-averaged greenhouse gas observations using a COCCON spectrometer at the high-surface-albedo site in Gobabeb, Namibia

Frey, M., Hase, F., Blumenstock, T., Dubravica, D., Groß, J., Göttsche, F.-M., Handjaba, M., Amadhila, P., Mushi, R., Morino, I., et al. (2021) · Atmospheric measurement techniques · doi:10.5194/amt-14-5887-2021 · Cited by 56

Observing local CO 2 sources using low-cost, near-surface urban monitors

Shusterman, A. A., Kim, J., Lieschke, K. J., Newman, C., Wooldridge, P. J., & Cohen, R. C. (2018) · Atmospheric chemistry and physics · doi:10.5194/acp-18-13773-2018 · Cited by 56

On the urban geometry generalization for CFD simulation of gas dispersion from chimneys: Comparison with Gaussian plume model

Toja-Silva, F., Pregel-Hoderlein, C., & Chen, J. (2018) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2018.04.003 · Cited by 51

Methane emissions from the Munich Oktoberfest

Chen, J., Dietrich, F., Maazallahi, H., Forstmaier, A., Winkler, D., Hofmann, M. E. G., van der Gon, H. D., & Röckmann, T. (2020) · Atmospheric chemistry and physics · doi:10.5194/acp-20-3683-2020 · Cited by 49

Prediction of Satellite-Based Column CO2 Concentration by Combining Emission Inventory and LULC Information

Bhattacharjee, S., & Chen, J. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2985047 · Cited by 48

Assessment of Urban CO2 Measurement and Source Attribution in Munich Based on TDLAS-WMS and Trajectory Analysis

Lan, L., Ghasemifard, H., Yuan, Y., Hachinger, S., Zhao, X., Bhattacharjee, S., Bi, X., Bai, Y., Menzel, A., & Chen, J. (2020) · Atmosphere · doi:10.3390/atmos11010058 · Cited by 44

Self-Calibrated Multiharmonic CO 2 Sensor Using VCSEL for Urban In Situ Measurement

Lan, L., Chen, J., Wu, Y., Bai, Y., Bi, X., & Li, Y. (2018) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2018.2863445 · Cited by 43

Emissions of methane in Europe inferred by total column measurements

Wunch, D., Jones, D. B. A., Toon, G. C., Deutscher, N. M., Hase, F., Notholt, J., Sussmann, R., Warneke, T., Kuenen, J. J. P., van der Gon, H. D., et al. (2019) · Atmospheric chemistry and physics · doi:10.5194/acp-19-3963-2019 · Cited by 41

Net CO 2 fossil fuel emissions of Tokyo estimated directly from measurements of the Tsukuba TCCON site and radiosondes

Babenhauserheide, A., Hase, F., & Morino, I. (2020) · Atmospheric measurement techniques · doi:10.5194/amt-13-2697-2020 · Cited by 40

Automated enclosure and protection system for compact solar-tracking spectrometers

Heinle, L., & Chen, J. (2018) · Atmospheric measurement techniques · doi:10.5194/amt-11-2173-2018 · Cited by 39

Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network

Luther, A., Kostinek, J., Kleinschek, R., Defratyka, S., Stanisavljević, M., Forstmaier, A., Dandocsi, A. M., Scheidweiler, L., Dubravica, D., Wildmann, N., et al. (2022) · Atmospheric chemistry and physics · doi:10.5194/acp-22-5859-2022 · Cited by 39

The CU mobile Solar Occultation Flux instrument: structure functions and emission rates of NH 3 , NO 2 and C 2 H 6

Kille, N., Baidar, S., Handley, P., Ortega, I., Sinreich, R., Cooper, O. R., Hase, F., Hannigan, J. W., Pfister, G. G., & Volkamer, R. (2017) · Atmospheric measurement techniques · doi:10.5194/amt-10-373-2017 · Cited by 38

Satellite and ground-based measurements of XCO 2 in a remote semiarid region of Australia

Velazco, V. A., Deutscher, N. M., Morino, I., Uchino, O., Bukosa, B., Ajiro, M., Kamei, A., Jones, N., Paton‐Walsh, C., & GRIFFITH, D. W. T. (2019) · Earth system science data · doi:10.5194/essd-11-935-2019 · Cited by 38

Anthropogenic CO 2 emission estimates in the Tokyo metropolitan area from ground-based CO 2 column observations

Ohyama, H., Frey, M., Morino, I., Shiomi, K., Nishihashi, M., Miyauchi, T., Yamada, H., Saito, M., Wakasa, M., Blumenstock, T., et al. (2023) · Atmospheric chemistry and physics · doi:10.5194/acp-23-15097-2023 · Cited by 37

Lagrangian inversion of anthropogenic CO2 emissions from Beijing using differential column measurements

Che, K., Cai, Z., Liu, Y., Wu, L., Yang, D., Chen, Y., Meng, X., Zhou, M., Wang, J., Yao, L., et al. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac7477 · Cited by 37

Emissions and topographic effects on column CO2 () variations, with a focus on the Southern California Megacity

Hedelius, J. K., Feng, S., Roehl, C. M., Wunch, D., Hillyard, P., Podolske, J. R., Iraci, L. T., Patarasuk, R., Rao, P., O'Keeffe, D., et al. (2017) · Journal of Geophysical Research Atmospheres · doi:10.1002/2017jd026455 · Cited by 33

VCSEL-Based Atmospheric Trace Gas Sensor Using First Harmonic Detection

Lan, L., Chen, J., Zhao, X., & Ghasemifard, H. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2901793 · Cited by 32

Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban X CO 2 gradients from space?

Rißmann, M., Chen, J., Osterman, G. B., Zhao, X., Dietrich, F., Makowski, M. O., Hase, F., & Kiel, M. (2022) · Atmospheric measurement techniques · doi:10.5194/amt-15-6605-2022 · Cited by 31

Using portable low-resolution spectrometers to evaluate Total Carbon Column Observing Network (TCCON) biases in North America

Pak, N. M., Hedelius, J. K., Roche, S., Cunningham, L., Baier, B. C., Sweeney, C., Roehl, C. M., Laughner, J. L., Toon, G. C., Wennberg, P. O., et al. (2023) · Atmospheric measurement techniques · doi:10.5194/amt-16-1239-2023 · Cited by 31

Understanding greenhouse gas (GHG) column concentrations in Munich using the Weather Research and Forecasting (WRF) model

Zhao, X., Chen, J., Marshall, J., Gałkowski, M., Hachinger, S., Dietrich, F., Shekhar, A., Gensheimer, J., Wenzel, A., & Gerbig, C. (2023) · Atmospheric chemistry and physics · doi:10.5194/acp-23-14325-2023 · Cited by 31

The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps

HURTT, G. C., Andrews, A. E., Bowman, K. W., Brown, M. E., Chatterjee, A., Escobar, V. M., Fatoyinbo, T., Griffith, P. C., Guy, M., Healey, S. P., et al. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/ac7407 · Cited by 29

Shipborne measurements of XCO 2 , XCH 4 , and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI

Knapp, M., Kleinschek, R., Hase, F., Agustí‐Panareda, A., Inness, A., Barré, J., Landgraf, J., Borsdorff, T., Kinne, S., & Butz, A. (2021) · Earth system science data · doi:10.5194/essd-13-199-2021 · Cited by 28

Quantifying CH 4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method

Tu, Q., Schneider, M. F., Hase, F., Khosrawi, F., Ertl, B., Nęcki, J., Dubravica, D., Diekmann, C. J., Blumenstock, T., & Fang, D. (2022) · Atmospheric chemistry and physics · doi:10.5194/acp-22-9747-2022 · Cited by 28

The CO 2 integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling

Ionov, D. V., Makarova, M., Hase, F., Foka, S. C., Kostsov, V. S., Alberti, C., Blumenstock, T., Warneke, T., & Virolainen, Y. A. (2021) · Atmospheric chemistry and physics · doi:10.5194/acp-21-10939-2021 · Cited by 27

Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations

Alberti, C., Tu, Q., Hase, F., Makarova, M., Gribanov, K. G., Foka, S. C., Zakharov, V., Blumenstock, T., Buchwitz, M., Diekmann, C. J., et al. (2022) · Atmospheric measurement techniques · doi:10.5194/amt-15-2199-2022 · Cited by 27

Characterization of Regional Combustion Efficiency using ΔXCO: ΔXCO2 Observed by a Portable Fourier-Transform Spectrometer at an Urban Site in Beijing

Che, K., Liu, Y., Cai, Z., Yang, D., Wang, H., Ji, D., Yang, Y., & Wang, P. (2022) · Advances in Atmospheric Sciences · doi:10.1007/s00376-022-1247-7 · Cited by 27

Dairy Methane Emissions in California's San Joaquin Valley Inferred With Ground‐Based Remote Sensing Observations in the Summer and Winter

Heerah, S., Frausto‐Vicencio, I., Jeong, S., Marklein, A. R., Ding, Y., Meyer, A. G., Parker, H. A., Fischer, M. L., Franklin, J. E., Hopkins, F. M., et al. (2021) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2021jd034785 · Cited by 22

Quantification of methane emissions in Hamburg using a network of FTIR spectrometers and an inverse modeling approach

Forstmaier, A., Chen, J., Dietrich, F., Bettinelli, J., Maazallahi, H., Schneider, C., Winkler, D., Zhao, X., Jones, T., van der Veen, C., et al. (2023) · Atmospheric chemistry and physics · doi:10.5194/acp-23-6897-2023 · Cited by 21

Atmospheric CO2 and δ13C Measurements from 2012 to 2014 at the Environmental Research Station Schneefernerhaus, Germany: Technical Corrections, Temporal Variations and Trajectory Clustering

Ghasemifard, H., Yuan, Y., Lüpke, M., Schunk, C., Chen, J., Ries, L., Leuchner, M., & Menzel, A. (2018) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2018.01.0010 · Cited by 21

Intercomparison of arctic XH 2 O observations from three ground-based Fourier transform infrared networks and application for satellite validation

Tu, Q., Hase, F., Blumenstock, T., Schneider, M. F., Schneider, A. M., Kivi, R., Heikkinen, P., Ertl, B., Diekmann, C. J., Khosrawi, F., et al. (2021) · Atmospheric measurement techniques · doi:10.5194/amt-14-1993-2021 · Cited by 20

Quantifying CO2 emissions from a thermal power plant based on CO2 column measurements by portable Fourier transform spectrometers

Ohyama, H., Shiomi, K., Kikuchi, N., Morino, I., & Matsunaga, T. (2021) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112714 · Cited by 20

Urban XCO2 Gradients From a Dense Network of Solar Absorption Spectrometers and OCO‐3 Over Mexico City

Che, K., Lauvaux, T., Taquet, N., Stremme, W., Xu, Y., Alberti, C., Lopez, M., García-Reynoso, J. A., Ciais, P., Liu, Y., et al. (2024) · Journal of Geophysical Research Atmospheres · doi:10.1029/2023jd040063 · Cited by 18

Broadband static Fourier transform mid-infrared spectrometer

Köhler, M. H., Naßl, S. S., Kienle, P., Dong, X., & Koch, A. W. (2019) · Applied Optics · doi:10.1364/ao.58.003393 · Cited by 17

Using a portable FTIR spectrometer to evaluate the consistency of Total Carbon Column Observing Network (TCCON) measurements on a global scale: the Collaborative Carbon Column Observing Network (COCCON) travel standard

Herkommer, B., Alberti, C., Castracane, P., Chen, J., Dehn, A., Dietrich, F., Deutscher, N. M., Frey, M., Groß, J., Gillespie, L., et al. (2024) · Atmospheric measurement techniques · doi:10.5194/amt-17-3467-2024 · Cited by 15

CO2 Emissions Estimate From Mexico City Using Ground‐ and Space‐Based Remote Sensing

Che, K., Lauvaux, T., Taquet, N., Stremme, W., Xu, Y., Alberti, C., Lopez, M., García-Reynoso, J. A., Ciais, P., Liu, Y., et al. (2024) · Journal of Geophysical Research Atmospheres · doi:10.1029/2024jd041297 · Cited by 15

Using Multiscale Ethane/Methane Observations to Attribute Coal Mine Vent Emissions in the San Juan Basin From 2013 to 2021

Meyer, A. G., Lindenmaier, R., Heerah, S., Benedict, K. B., Kort, E. A., Peischl, J., & Dubey, M. K. (2022) · Journal of Geophysical Research Atmospheres · doi:10.1029/2022jd037092 · Cited by 15

Climate Impact Comparison of Electric and Gas‐Powered End‐User Appliances

Dietrich, F., Chen, J., Shekhar, A., Lober, S., Krämer, K., Leggett, G., van der Veen, C., Velzeboer, I., van der Gon, H. D., & Röckmann, T. (2023) · Earth s Future · doi:10.1029/2022ef002877 · Cited by 13

Spatio‐temporal prediction of land surface temperature using semantic kriging

Bhattacharjee, S., Chen, J., & Ghosh, S. K. (2020) · Transactions in GIS · doi:10.1111/tgis.12596 · Cited by 12

Ground solar absorption observations of total column CO, CO 2 , CH 4 , and aerosol optical depth from California's Sequoia Lightning Complex Fire: emission factors and modified combustion efficiency at regional scales

Frausto-Vicencio, I., Heerah, S., Meyer, A. G., Parker, H. A., Dubey, M., & Hopkins, F. M. (2023) · Atmospheric Chemistry and Physics · doi:10.5194/acp-23-4521-2023 · Cited by 10

Greenhouse gas column observations from a portable spectrometer in Uganda

Humpage, N., Boesch, H., Okello, W., Chen, J., Dietrich, F., Lunt, M. F., Feng, L., Palmer, P. I., & Hase, F. (2024) · Atmospheric measurement techniques · doi:10.5194/amt-17-5679-2024 · Cited by 10

Fossil Fuel CO 2 Emission Signatures Over India Captured by OCO‐2 Satellite Measurements

Balamurugan, V., & Chen, J. (2024) · Earth s Future · doi:10.1029/2023ef004411 · Cited by 10

Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software

Aigner, P., Makowski, M. O., Luther, A., Dietrich, F., & Chen, J. (2023) · The Journal of Open Source Software · doi:10.21105/joss.05131 · Cited by 10

CO 2 and CO temporal variability over Mexico City from ground-based total column and surface measurements

Taquet, N., Stremme, W., del Castillo, M. E. G., Almanza, V., Bezanilla, A., Laurent, O., Alberti, C., Hase, F., Ramonet, M., Lauvaux, T., et al. (2024) · Atmospheric chemistry and physics · doi:10.5194/acp-24-11823-2024 · Cited by 9

Estimating Urban CH4 ${\text{CH}}_{4}$ Emissions From Satellite‐Derived Enhancement Ratios of CH4 ${\text{CH}}_{4}$, CO2 ${\text{CO}}_{2}$, and CO

Mastrogiacomo, J., Crippa, M., MacDonald, C. G., Roehl, C. M., & Wunch, D. (2025) · Journal of Geophysical Research Atmospheres · doi:10.1029/2025jd043394 · Cited by 8

Experimental Estimates of Integral Anthropogenic CO2 Emissions in the City of St. Petersburg

Timofeyev, Y. M., Nerobelov, G. M., & Поберовский, А. В. (2022) · Izvestiya Atmospheric and Oceanic Physics · doi:10.1134/s0001433822030100 · Cited by 8

Mapping the spatial distribution of NO 2 with in situ and remote sensing instruments during the Munich NO 2 imaging campaign

Kuhlmann, G., Chan, K. L., Donner, S., Zhu, Y., Schwaerzel, M., Dörner, S., Chen, J., Hueni, A., Nguyen, D. H., Damm, A., et al. (2022) · Atmospheric measurement techniques · doi:10.5194/amt-15-1609-2022 · Cited by 8

Improving urban CO2 spatial distribution modelling using multi-source data

Sun, E., Wang, X., Ye, H., Wu, S., Shi, H., Li, D., An, Y., & Li, C. (2024) · Urban Climate · doi:10.1016/j.uclim.2024.101902 · Cited by 7

Validation of XCO 2 and XCH 4 retrieved from a portable Fourier transform spectrometer with those from in situ profiles from aircraft-borne instruments

Ohyama, H., Morino, I., Velazco, V. A., Klausner, T., Bagtasa, G., Kiel, M., Frey, M., Hori, A., Uchino, O., Matsunaga, T., et al. (2020) · Atmospheric measurement techniques · doi:10.5194/amt-13-5149-2020 · Cited by 7

Study on Dispersion of Carbon Dioxide over the Shrubbery Region

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Implementation of a satellite-based tool for the quantification of CH 4 emissions over Europe (AUMIA v1.0) – Part 1: forward modelling evaluation against near-surface and satellite data

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Chen, J., Dietrich, F., Bi, X., Forstmaier, A., & Setili, L. (2019) · Repository KITopen (Karlsruhe Institute of Technology) · doi:10.5445/ir/1000093270

Reply to interactive comments

Rankl, M. (2017) · The Cryosphere · doi:10.5194/tc-2016-218-ac1

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Boston Column Network: Compact Solar-Tracking Spectrometers and Differential Column Measurements

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Accurate mobile remote sensing of XCO 2 and XCH 4 latitudinal transects from aboard a research vessel

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Assessment of errors and biases in retrievals of X CO 2 , X CH 4 , X CO , and X N 2 O from a 0.5 cm –1 resolution solar-viewing spectrometer

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Ground-Based Remote Sensing of Total Columnar CO 2 , CH 4 , and CO Using EM27/SUN FTIR Spectrometer at a Suburban Location (Shadnagar) in India and Validation of Sentinel-5P/TROPOMI

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