Articles | Volume 17, issue 3
https://doi.org/10.5194/amt-17-1061-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-1061-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Airborne lidar measurements of atmospheric CO2 column concentrations to cloud tops made during the 2017 ASCENDS/ABoVE campaign
College of Computer, Mathematical and Natural Sciences, University of Maryland, College Park, MD 20740, USA
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
James B. Abshire
College of Computer, Mathematical and Natural Sciences, University of Maryland, College Park, MD 20740, USA
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
S. Randy Kawa
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
Xiaoli Sun
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
Haris Riris
NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
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Cited articles
Aben, I., Hasekamp, O., and Hartmann, W.: Uncertainties in the space-based measurements of CO2 columns due to scattering in the Earth's atmosphere, J. Quant. Spectrosc. Ra., 104, 450–459, 2007.
Abshire, J. B., Riris, H., Allan, G. R., Weaver, C. J., Mao, J., Sun, X., Hasselbrack, W. E., Kawa, S. R., and Biraud, S.: Pulsed airborne lidar measurements of atmospheric CO2 column absorption, Tellus, 62, 770–783, 2010.
Abshire, J. B., Riris, H., Weaver, C. W., Mao, J., Allan, G. R., Hasselbrack, W. E., Weaver, C. J., and Browell, E. W.: Airborne measurements of CO2 column absorption and range using a pulsed direct-detection integrated path differential absorption lidar, Appl. Optics, 52, 4446–4461, 2013.
Abshire, J. B., Ramanathan, A., Riris, H., Mao, J., Allan, G. R., Hasselbrack, W. E., Weaver, C. J., and Browell, E. W.: Airborne Measurements of CO2 Column Concentration and Range using a Pulsed Direct-Detection IPDA Lidar, Remote Sens., 6, 443–469; https://doi.org/10.3390/rs6010443, 2014.
Abshire, J. B., Ramanathan, A. K., Riris, H., Allan, G. R., Sun, X., Hasselbrack, W. E., Mao, J., Wu, S., Chen, J., Numata, K., Kawa, S. R., Yang, M. Y. M., and DiGangi, J.: Airborne measurements of CO2 column concentrations made with a pulsed IPDA lidar using a multiple-wavelength-locked laser and HgCdTe APD detector, Atmos. Meas. Tech., 11, 2001–2025, https://doi.org/10.5194/amt-11-2001-2018, 2018.
Amediek, A., Sun, X., and Abshire, J. B.: Analysis of range measurements from a pulsed airborne CO2 integrated path differential absorption lidar, IEEE T. Geosci. Remote, 51, 2498–2504, 2013.
Borsdorff, T., Hasekamp, O. P., Wassmann, A., and Landgraf, J.: Insights into Tikhonov regularization: application to trace gas column retrieval and the efficient calculation of total column averaging kernels, Atmos. Meas. Tech., 7, 523–535, https://doi.org/10.5194/amt-7-523-2014, 2014.
Butz, A., Hasekamp, O. P., Frankenberg, C., and Aben, I.: Retrievals of atmospheric CO2 from simulated space-borne measurements of backscattered near-infrared sunlight: accounting for aerosol effects, Appl. Optics, 48, 3322–3336, 2009.
Chevallier, F., Palmer, P. I., Feng, L., Boesch, H., O'Dell, C. W., and Bousquet, P.: Toward robust and consistent regional CO2 flux estimates from in situ and spaceborne measurements of atmospheric CO2, Geophys. Res. Lett., 41, 1065–1070, https://doi.org/10.1002/2013GL058772, 2014.
Clough, S. A. and Iacono, M. J.: Line-by-line calculation of atmospheric fluxes and cooling rates 2. Application to carbon dioxide, methane, nitrous oxide, and halocarbons. J. Geophys. Res.-Atmos. 100, 16519–16535, 1995.
Clough, S. A., Iacono, M. J., and Moncet, J.: Line-by-line calculations of atmospheric fluxes and cooling rates: Application to water vapor, J. Geophys. Res.-Atmos., 97, 15761–15785, 1992.
Crisp, D., Atlas, R. M., Breon, F.-M., Brown, L. R., Burrows, J. P., Ciais, P., Connor, B. J., Doney, S. C., Fung, I. Y., Jacob, D. J., Miller, C. E., O'Brien, D., Pawson, S., Randerson, J. T., Rayner, P., Salawitch, R. J., Sander, S. P., Sen, B., Stephens, G. L., Tans, P. P., Toon, G. C., Wennberg, P. O., Wofsy, S. C., Yung, Y. L., Kuang, Z., Chudasama, B., Sprague, G., Weiss, B., Pollock, R., Kenyon, D., and Schroll, S.: The Orbiting Carbon Observatory (OCO) Mission, Adv. Space Res., 34, 700–709, 2004.
Diskin, G. S., Podolske, J. R., Sachse, G. W., and Slate, T. A.: Open-path airborne tunable diode laser hygrometer, in: Proc. SPIE 4817, Diode Lasers and Applications in Atmospheric Sensing, Seattle, WA, USA, 23 September 2002, https://doi.org/10.1117/12.453736, 2002.
Feng, L., Palmer, P. I., Bösch, H., and Dance, S.: Estimating surface CO2 fluxes from space-borne CO2 dry air mole fraction observations using an ensemble Kalman Filter, Atmos. Chem. Phys., 9, 2619–2633, https://doi.org/10.5194/acp-9-2619-2009, 2009.
Feng, L., Palmer, P. I., Parker, R. J., Deutscher, N. M., Feist, D. G., Kivi, R., Morino, I., and Sussmann, R.: Estimates of European uptake of CO2 inferred from GOSAT retrievals: sensitivity to measurement bias inside and outside Europe, Atmos. Chem. Phys., 16, 1289–1302, https://doi.org/10.5194/acp-16-1289-2016, 2016.
Feng, L., Palmer, P. I., Bösch, H., Parker, R. J., Webb, A. J., Correia, C. S. C., Deutscher, N. M., Domingues, L. G., Feist, D. G., Gatti, L. V., Gloor, E., Hase, F., Kivi, R., Liu, Y., Miller, J. B., Morino, I., Sussmann, R., Strong, K., Uchino, O., Wang, J., and Zahn, A.: Consistent regional fluxes of CH4 and CO2 inferred from GOSAT proxy XCH4:XCO2 retrievals, 2010–2014, Atmos. Chem. Phys., 17, 4781–4797, https://doi.org/10.5194/acp-17-4781-2017, 2017.
Guerlet, S., Butz, A., Schepers, D., Basu, S., Hasekamp, O. P., Kuze, A., Yokota, T., Blavier, J.-F., Deutscher, N. M., Griffith, D. W. T., Hase, F., Kyro, E., Morino, I., Sherlock, V., Sussmann, R., Galli, A., and Aben, I.: Impact of aerosol and thin cirrus on retrieving and validating XCO2 from GOSAT shortwave infrared measurements, J. Geophys. Res., 118, 4887–4905, https://doi.org/10.1002/jgrd.50332, 2013.
Halliday, H. S., DiGangi, J. P., Choi, Y., Diskin, G. S., Pusede, S. E., Rana, M., Nowak, J. B., Knote, C., Ren, X., He, H., Dickerson, R. R., and Li, Z.: Using short-term ratios to assess air mass differences over the Korean Peninsula during KORUS-AQ, J. Geophys. Res.-Atmos., 124, 10951–10972, https://doi.org/10.1029/2018JD029697, 2019.
Kawa, S. R., Mao, J., Abshire, J. B., Collatz, G. J., Sun, X., and Weaver, C. J.: Simulation studies for a space-based CO2 lidar mission, Tellus B, 62, 770–783, https://doi.org/10.1111/j.1600-0889.2010.00486.x, 2010.
Kawa, S. R., Abshire, J. B., Baker, D. F., Browell, E. V., Crisp, D., Crowell, S. M. R., Hyon, J. J., Jacob, J. C., Jucks, K. W., Lin, B., Menzies, R. T., Ott, L. E., and Zaccheo, T. S.: Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS): Final Report of the ASCENDS, Ad Hoc Science Definition Team, Document ID: 20190000855, NASA/TP–2018-219034, GSFC-E-DAA-TN64573, https://www-air.larc.nasa.gov/missions/ascends/docs/NASA_TP_2018-219034_ASCENDS_ID1.pdf (last access: 14 May 2021), 2018.
Kuze, A., Suto, H., Nakajima, M., and Hamazaki, T.: Thermal and near infrared sensor for carbon observation Fourier-transform spectrometer on the greenhouse gases observing satellite for greenhouse gases monitoring, Appl. Optics, 48, 6716–6733, 2009.
Mao, J. and Kawa, S. R.: Sensitivity studies for space-based measurement of atmospheric total column carbon dioxide by reflected sunlight, Appl. Optics, 43, 914–927, 2004.
Mao, J., Ramanathan, A., Abshire, J. B., Kawa, S. R., Riris, H., Allan, G. R., Rodriguez, M., Hasselbrack, W. E., Sun, X., Numata, K., Chen, J., Choi, Y., and Yang, M. Y. M.: Measurement of atmospheric CO2 column concentrations to cloud tops with a pulsed multi-wavelength airborne lidar, Atmos. Meas. Tech., 11, 127–140, https://doi.org/10.5194/amt-11-127-2018, 2018.
Mao, J., Abshire, J. B., Kawa, S. R., Riris, H., Allan, G. R., Hasselbrack, W. E., Sun, X., Chen, J., Numata, K., Sun, X., Nicely, J. M., GiGang, J. P., and Choi, Y.: CO2 Laser Sounder Lidar: Toward Atmospheric CO2 Measurements with High-precision, Low-bias and Global coverage, A43D-01 presented at the Fall Meeting, AGU, San Francisco, CA, 9–13 December 2019, https://agu.confex.com/agu/fm19/meetingapp.cgi/Paper/540584 (last access: 24 January 2024), 2019.
Mao, J., Abshire, J. B., Kawa, S. R., Riris, H., Sun, X., Andela, N., and Kolbeck, P. T.: Measuring Atmospheric CO2 Enhancements from the 2017 British Columbia using a Lidar, Geophys. Res. Lett., 48, e2021GL093805. https://doi.org/10.1029/2021GL093805, 2021a.
Mao, J., Abshire, J. B., Kawa, S. R., Riris, H., Sun, X., Nicely , J. M., and Kolbeck, P. T.: The NASA Goddard CO2 Sounder Lidar: 2017 Airborne Campaign as a Demonstration toward a Future Space Mission, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 11–16 July 2021, https://doi.org/10.1109/IGARSS47720.2021.9554611, pp. 1673–1676, 2021b.
NASA Langley Research Center: Airborne Science Data for Atmospheric Composition, DC-8 Aircraft Data, https://www-air.larc.nasa.gov/cgi-bin/ArcView/ascends.2017#ABSHIRE.JAMES/ (last access: 16 May 2021), 2020.
Numata, K., Chen, J. R., Wu, S. T., Abshire, J. B., and Krainak, M. A.: Frequency stabilization of distributed-feedback laser diodes at 1572 nm for lidar measurements of atmospheric carbon dioxide, Appl. Optics, 50, 1047–1056, 2011.
Numata, K., Chen, J. R., and Wu, S. T.: Precision and fast wavelength tuning of a dynamically phase-locked widely-tunable laser, Opt. Express, 20, 14234–14243, https://doi.org/10.1364/OE.20.014234, 2012.
Palmer, P. I., Wilson, E. L., L. Villanueva, G., Liuzzi, G., Feng, L., DiGregorio, A. J., Mao, J., Ott, L., and Duncan, B.: Potential improvements in global carbon flux estimates from a network of laser heterodyne radiometer measurements of column carbon dioxide, Atmos. Meas. Tech., 12, 2579–2594, https://doi.org/10.5194/amt-12-2579-2019, 2019.
Ramanathan, A., Mao, J., Allan, G. R., Riris, H., Weaver, C. J., Hasselbrack, W. E., Browell, E. V., and Abshire, J. B.: Spectroscopic measurements of a CO2 absorption line in an open vertical path using an airborne lidar, Appl. Phys. Lett., 103, 214102, https://doi.org/10.1063/1.4832616, 2013.
Ramanathan, A., Mao, J., Abshire, J. B., and Allan, G. R.: Remote sensing measurements of the CO2 mixing ratio in the Planetary Boundary Layer using Cloud Slicing with Airborne Lidar, Geophys. Res. Lett., 42, 2055–2062, https://doi.org/10.1002/2014GL062749, 2015.
Ramanathan, A. K., Nguyen, H. M., Sun, X., Mao, J., Abshire, J. B., Hobbs, J. M., and Braverman, A. J.: A singular value decomposition framework for retrievals with vertical distribution information from greenhouse gas column absorption spectroscopy measurements, Atmos. Meas. Tech., 11, 4909–4928, https://doi.org/10.5194/amt-11-4909-2018, 2018.
Reuter, M., Buchwitz, M., Hilker, M., Heymann, J., Schneising, O., Pillai, D., Bovensmann, H., Burrows, J. P., Bösch, H., Parker, R., Butz, A., Hasekamp, O., O'Dell, C. W., Yoshida, Y., Gerbig, C., Nehrkorn, T., Deutscher, N. M., Warneke, T., Notholt, J., Hase, F., Kivi, R., Sussmann, R., Machida, T., Matsueda, H., and Sawa, Y.: Satellite-inferred European carbon sink larger than expected, Atmos. Chem. Phys., 14, 13739–13753, https://doi.org/10.5194/acp-14-13739-2014, 2014.
Rothman, L. S., Gordon, I. E., Barbe, A., Chris Benner, D., Bernath, P. F., Birk, M., Boudon, V., Brown, L. R., Campargue, A., Champion, J.-P., Chance, K., Coudert, L. H., Dana, V., Devi, V. M., Fally, S., Flaud, J.-M., Gamache, R. R., Goldman, A., Jacquemart, D., Kleiner, I., Lacome, N., Lafferty, W. J., Mandin, J.-Y., Massie, S. T., Mikhailenko, S. N., Miller, C. E., Moazzen-Ahmadi, N., Naumenko, O. V., Nikitin, A. V., Orphal, J., Perevalov, V. I., Perrin, A., Predoi-Cross, A., Rinsland, C. P., Rotger, M., Šimeková, M., Smith, M. A. H., Sung, K., Tashkun, S. A., Tennyson, J., Toth, R. A., Vandaele, A. C., and Vander Auwera, J.: The HITRAN 2008 molecular spectroscopic database, J. Quant. Spectrosc. Ra., 110, 533–572, 2009.
Schimel, D., Sellers, P., Moore III, B., Chatterjee, A., Baker, D., Berry, J., Bowman, K., Ciais, P., Crisp, D., Crowell, S., Denning, S., Duren, R., Friedlingstein, P., Gierach, M., Gurney, K., Hibbard, K., Houghton, R. A., Huntzinger, D., Hurtt, G., Jucks, K., Kawa, R., Koster, R., Koven, C., Luo, Y., Masek, J., McKinley, G., Miller, C., Miller, J., Moorcroft, P., Nassar, R., O’Dell, C., Ott, L., Pawson, S., Puma, M., Quaife, T., Riris, H., Romanou, A., Rousseaux, C., Schuh, A., Shevliakova, E., Tucker, C., Wang, Y. P., Williams, C., Xiao, X., and Yokota, T.: Observing the carbon-climate system, arXiv [physics.ao-ph], arXiv:1604.02106v1, 2016.
Shi, T., Han, G., Ma, X., Gong, W., Chen, W., Liu, J., Zhang, X., Pei, Z., Gou, H., and Bu, L.: Quantifying CO2 uptakes over oceans using LIDAR: A tentative experiment in Bohai Bay, Geophys. Res. Lett., 48, e2020GL091160, https://doi.org/10.1029/2020GL091160, 2021.
Sun, X., Abshire, J. B., Beck, J. D., Mitra, P., Reiff, K., and Yang, G.: HgCdTe avalanche photodiode detectors for airborne and spaceborne lidar at infrared wavelengths, Opt. Express, 25, 16589–16602, https://doi.org/10.1364/OE.25.016589, 2017.
Sun, X., Abshire, J. B., Ramanathan, A., Kawa, S. R., and Mao, J.: Retrieval algorithm for the column CO2 mixing ratio from pulsed multi-wavelength lidar measurements, Atmos. Meas. Tech., 14, 3909–3922, https://doi.org/10.5194/amt-14-3909-2021, 2021.
Sun, X., Kolbeck, P. T., Abshire, J. B., Kawa, S. R., and Mao, J.: Attenuated atmospheric backscatter profiles measured by the CO2 Sounder lidar in the 2017 ASCENDS/ABoVE airborne campaign, Earth Syst. Sci. Data, 14, 3821–3833, https://doi.org/10.5194/essd-14-3821-2022, 2022.
Uchino, O., Kikuchi, N., Sakai, T., Morino, I., Yoshida, Y., Nagai, T., Shimizu, A., Shibata, T., Yamazaki, A., Uchiyama, A., Kikuchi, N., Oshchepkov, S., Bril, A., and Yokota, T.: Influence of aerosols and thin cirrus clouds on the GOSAT-observed CO2: a case study over Tsukuba, Atmos. Chem. Phys., 12, 3393–3404, https://doi.org/10.5194/acp-12-3393-2012, 2012.
Vay, S. A., Choi, Y., Vadrevu, K. P., Blake, D. R., Tyler, S. C., Wisthaler, A., Hecobian, A., Kondo, Y., Diskin, G. S., Sachse, G. W., Woo, J. H., Weinheimer, A. J., Burkhart, J. F., Stohl, A., and Wennberg, P. O.: Patterns of CO2 and radiocarbon across high northern latitudes during International Polar Year 2008, J. Geophys. Res.-Atmos., 116, D14301, https://doi.org/10.1029/2011JD015643, 2011.
Vekuri, H., Tuovinen, J. P., Kulmala, L. Papale, D., Kolari, P., Aurela, M., Laurila, T., Liski, J., and Lohila, A.: A widely used eddy covariance gap-filling method creates systematic bias in carbon balance estimates, Sci. Rep.-UK, 13, 1720, https://doi.org/10.1038/s41598-023-28827-2, 2023.
Wunch, D., Toon, G. C., Blavier, J.-F. L., Washenfelder, R. A., Notholt, J., Connor, B. J., Griffith, D. W. T., Sherlock, V., and Wennberg, P. O.: The total carbon column observing network, Philos. T. R. Soc. A, 369, 2087–2112, https://doi.org/10.1098/rsta.2010.0240, 2011.
Executive editor
This paper demonstrates that lidar CO2 measurements can substantially complement current passive remote sensors by providing measurements above clouds and within cloud gaps. Furthermore, lidar provides data at high latitudes where spectroscopy suffers from low solar illumination and challenging albedo variations. This is of particular importance in the context of "Arctic amplification". The paper paves the way for future CO2 and also CH4 lidar measurements from satellites.
This paper demonstrates that lidar CO2 measurements can substantially complement current passive...
Short summary
NASA Goddard Space Flight Center has developed an integrated-path, differential absorption lidar approach to measure column-averaged atmospheric CO2 (XCO2). We demonstrated the lidar’s capability to measure XCO2 to cloud tops ,as well as to the ground, with the data from the summer 2017 airborne campaign in the US and Canada. This active remote sensing technique can provide all-sky data coverage and high-quality XCO2 measurements for future airborne science campaigns and space missions.
NASA Goddard Space Flight Center has developed an integrated-path, differential absorption lidar...