Articles | Volume 14, issue 2
Atmos. Meas. Tech., 14, 1561–1571, 2021
https://doi.org/10.5194/amt-14-1561-2021
Atmos. Meas. Tech., 14, 1561–1571, 2021
https://doi.org/10.5194/amt-14-1561-2021

Research article 26 Feb 2021

Research article | 26 Feb 2021

Prediction model for diffuser-induced spectral features in imaging spectrometers

Florian Richter et al.

Related authors

Slit homogenizer introduced performance gain analysis based on Sentinel-5/UVNS spectrometer
Timon Hummel, Christian Meister, Jasper Krauser, and Mark Wenig
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-15,https://doi.org/10.5194/amt-2021-15, 2021
Preprint under review for AMT
Short summary
Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities
Ying Zhu, Jia Chen, Xiao Bi, Gerrit Kuhlmann, Ka Lok Chan, Florian Dietrich, Dominik Brunner, Sheng Ye, and Mark Wenig
Atmos. Chem. Phys., 20, 13241–13251, https://doi.org/10.5194/acp-20-13241-2020,https://doi.org/10.5194/acp-20-13241-2020, 2020
Short summary
MAX-DOAS measurements of tropospheric NO2 and HCHO in Munich and the comparison to OMI and TROPOMI satellite observations
Ka Lok Chan, Matthias Wiegner, Jos van Geffen, Isabelle De Smedt, Carlos Alberti, Zhibin Cheng, Sheng Ye, and Mark Wenig
Atmos. Meas. Tech., 13, 4499–4520, https://doi.org/10.5194/amt-13-4499-2020,https://doi.org/10.5194/amt-13-4499-2020, 2020
Short summary
MAX-DOAS measurements of tropospheric NO2 and HCHO in Nanjing and a comparison to ozone monitoring instrument observations
Ka Lok Chan, Zhuoru Wang, Aijun Ding, Klaus-Peter Heue, Yicheng Shen, Jing Wang, Feng Zhang, Yining Shi, Nan Hao, and Mark Wenig
Atmos. Chem. Phys., 19, 10051–10071, https://doi.org/10.5194/acp-19-10051-2019,https://doi.org/10.5194/acp-19-10051-2019, 2019
Short summary
Analysis of spatial and temporal patterns of on-road NO2 concentrations in Hong Kong
Ying Zhu, Ka Lok Chan, Yun Fat Lam, Martin Horbanski, Denis Pöhler, Johannes Boll, Ivo Lipkowitsch, Sheng Ye, and Mark Wenig
Atmos. Meas. Tech., 11, 6719–6734, https://doi.org/10.5194/amt-11-6719-2018,https://doi.org/10.5194/amt-11-6719-2018, 2018
Short summary

Related subject area

Subject: Gases | Technique: Remote Sensing | Topic: Instruments and Platforms
The GHGSat-D imaging spectrometer
Dylan Jervis, Jason McKeever, Berke O. A. Durak, James J. Sloan, David Gains, Daniel J. Varon, Antoine Ramier, Mathias Strupler, and Ewan Tarrant
Atmos. Meas. Tech., 14, 2127–2140, https://doi.org/10.5194/amt-14-2127-2021,https://doi.org/10.5194/amt-14-2127-2021, 2021
Short summary
Thermal and near-infrared sensor for carbon observation Fourier transform spectrometer-2 (TANSO-FTS-2) on the Greenhouse gases Observing SATellite-2 (GOSAT-2) during its first year in orbit
Hiroshi Suto, Fumie Kataoka, Nobuhiro Kikuchi, Robert O. Knuteson, Andre Butz, Markus Haun, Henry Buijs, Kei Shiomi, Hiroko Imai, and Akihiko Kuze
Atmos. Meas. Tech., 14, 2013–2039, https://doi.org/10.5194/amt-14-2013-2021,https://doi.org/10.5194/amt-14-2013-2021, 2021
Short summary
Characterization and potential for reducing optical resonances in Fourier transform infrared spectrometers of the Network for the Detection of Atmospheric Composition Change (NDACC)
Thomas Blumenstock, Frank Hase, Axel Keens, Denis Czurlok, Orfeo Colebatch, Omaira Garcia, David W. T. Griffith, Michel Grutter, James W. Hannigan, Pauli Heikkinen, Pascal Jeseck, Nicholas Jones, Rigel Kivi, Erik Lutsch, Maria Makarova, Hamud K. Imhasin, Johan Mellqvist, Isamu Morino, Tomoo Nagahama, Justus Notholt, Ivan Ortega, Mathias Palm, Uwe Raffalski, Markus Rettinger, John Robinson, Matthias Schneider, Christian Servais, Dan Smale, Wolfgang Stremme, Kimberly Strong, Ralf Sussmann, Yao Té, and Voltaire A. Velazco
Atmos. Meas. Tech., 14, 1239–1252, https://doi.org/10.5194/amt-14-1239-2021,https://doi.org/10.5194/amt-14-1239-2021, 2021
Short summary
MUCCnet: Munich Urban Carbon Column network
Florian Dietrich, Jia Chen, Benno Voggenreiter, Patrick Aigner, Nico Nachtigall, and Björn Reger
Atmos. Meas. Tech., 14, 1111–1126, https://doi.org/10.5194/amt-14-1111-2021,https://doi.org/10.5194/amt-14-1111-2021, 2021
Short summary
Emission Monitoring Mobile Experiment (EMME): an overview and first results of the St. Petersburg megacity campaign 2019
Maria V. Makarova, Carlos Alberti, Dmitry V. Ionov, Frank Hase, Stefani C. Foka, Thomas Blumenstock, Thorsten Warneke, Yana A. Virolainen, Vladimir S. Kostsov, Matthias Frey, Anatoly V. Poberovskii, Yuri M. Timofeyev, Nina N. Paramonova, Kristina A. Volkova, Nikita A. Zaitsev, Egor Y. Biryukov, Sergey I. Osipov, Boris K. Makarov, Alexander V. Polyakov, Viktor M. Ivakhov, Hamud Kh. Imhasin, and Eugene F. Mikhailov
Atmos. Meas. Tech., 14, 1047–1073, https://doi.org/10.5194/amt-14-1047-2021,https://doi.org/10.5194/amt-14-1047-2021, 2021
Short summary

Cited articles

Agarwal, G. S., Gbur, G., and Wolf, E.: Coherence properties of sunlight, Opt. Lett., 29, 459–461, https://doi.org/10.1364/OL.29.000459, 2004. a
Ahlers, B., Courreges-Lacoste, G. B., Schrijvers, C., and van Brug, H.: In-orbit detection of spectral features in SCIAMACHY, in: Sensors, Systems, and Next-Generation Satellites VIII, Remote Sensing, 4 November 2004, Maspalomas, Canary Islands, Spain, edited by: Meynart, R., Neeck, S. P., and Shimoda, H., SPIE, https://doi.org/10.1117/12.565565, 2004. a
Ahn, S. and Fessler, J.: Standard Errors of Mean, Variance, and Standard Deviation Estimators, available at: https://web.eecs.umich.edu/~fessler/papers/files/tr/stderr.pdf (last access: 15 December 2020), 2003. a
Bevan, A.: Statistical Data Analysis for the Physical Sciences, Cambridge University Press, https://doi.org/10.1017/cbo9781139342810, 2009. a
Bianco, V., Memmolo, P., Leo, M., Montresor, S., Distante, C., Paturzo, M., Picart, P., Javidi, B., and Ferraro, P.: Strategies for reducing speckle noise in digital holography, Light: Science and Applications, 7, 48, https://doi.org/10.1038/s41377-018-0050-9, 2018. a
Download
Short summary
Much effort has gone into obtaining crucial information about the progress of climate change, which depends on trace gases in the Earth's atmosphere. Satellite-based imaging spectrometers are used to record the Earth's reflectance in order to quantify the concentration of relevant trace gases. This work contributes an approach to a well-known calibration uncertainty regarding diffuser speckle and could significantly reduce overheads in the future planning phases of such instruments.