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  1. Allen, Michael A., James A. Voogt, and Andreas Christen (2018), Time-Continuous Hemispherical Urban Surface Temperatures, Rem. Sens., 10(1), doi:10.3390/rs10010003.
  2. Arendas, Peter, Tibor Furtenbacher, and Attila G. Csaszar (2021), Selecting lines for spectroscopic (re)measurements to improve the accuracy of absolute energies of rovibronic quantum states, J. Cheminformatics, 13(1), doi:10.1186/s13321-021-00534-y.
  3. Barras, Eliane Maillard, Alexander Haefele, Liliane Nguyen, Fiona Tummon, William T. Ball, Eugene Rozanov, V, Rolf Rufenacht, Klemens Hocke, Leonie Bernet, Niklaus Kampfer, Gerald Nedoluha, and Ian Boyd (2020), Study of the dependence of long-term stratospheric ozone trends on local solar time, Atmos. Chem. Phys., 20(14), 8453–8471, doi:10.5194/acp-20-8453-2020.
  4. Bernet, Leonie, Thomas von Clarmann, Sophie Godin-Beekmann, Gerard Ancellet, Eliane Maillard Barras, Rene Stubi, Wolfgang Steinbrecht, Niklaus Kampfer, and Klemens Hocke (2019), Ground-based ozone profiles over central Europe: incorporating anomalous observations into the analysis of stratospheric ozone trends, Atmos. Chem. Phys., 19(7), 4289–4309, doi:10.5194/acp-19-4289-2019.
  5. Bourdin, Stella, Lukas Kluft, and Bjorn Stevens (2021), Dependence of Climate Sensitivity on the Given Distribution of Relative Humidity, Geophys. Res. Lett., 48(8), doi:10.1029/2021GL092462.
  6. Cao, Hongtao, Xingfa Gu, Yuan Sun, Hailiang Gao, Zui Tao, and Shuaiyi Shi (2021), Comparing, validating and improving the performance of reflectance obtention method for UAV-Remote sensing, Int. J. of Applied Earth Observation and Geoinformation, 102, doi:10.1016/j.jag.2021.102391.
  7. Casella, Daniele, Giulia Panegrossi, Paolo Sano, Bengt Rydberg, Vinia Mattioli, Christophe Accadia, Mario Papa, Frank S. Marzano, and Mario Montopoli (2022), Can We Use Atmospheric Targets for Geolocating Spaceborne Millimeter-Wave Ice Cloud Imager (ICI) Acquisitions?, IEEE T. Geosci. Remote, 60, doi:10.1109/TGRS.2022.3145638.
  8. Ciani, D., M. Sabatini, B. B. Nardelli, P. L. Dekker, B. Rommen, D. S. Wethey, C. Yang, and G. L. Liberti (2023), Sea Surface Temperature Gradients Estimation Using Top-of-Atmosphere Observations from the ESA Earth Explorer 10 Harmony Mission: Preliminary Studies, Rem. Sens., 15(4), doi:10.3390/rs15041163.
  9. Cimini, Domenico, Philip W. Rosenkranz, Mikhail Y. Tretyakov, Maksim A. Koshelev, and Filomena Romano (2018), Uncertainty of atmospheric microwave absorption model: impact on ground-based radiometer simulations and retrievals, Atmos. Chem. Phys., 18(20), 15231–15259, doi:10.5194/acp-18-15231-2018.
  10. Coy, James J., Adam Bell, Ping Yang, and Dong L. Wu (2020), Sensitivity Analyses for the Retrievals of Ice Cloud Properties From Radiometric and Polarimetric Measurements in Sub-mm/mm and Infrared Bands, J. Geophys. Res.: Atm., 125(13), doi:10.1029/2019JD031422.
  11. Cutraro, Federico, Victoria Sol Galligani, and Yanina Garcia Skabar (2021), Evaluation of synthetic satellite images computed from radiative transfer models over a region of South America using WRF and GOES-13/16 observations, Q. J. R. Meteorol. Soc., 147(738), 2988–3003, doi:10.1002/qj.4111.
  12. de Mourgues, M., C. Emde, and B. Mayer (2023), Optimized Wavelength Sampling for Thermal Radiative Transfer in Numerical Weather Prediction Models, Atmos., 14(2), doi:10.3390/atmos14020332.
  13. Dong, Pingyi, Lei Liu, Shulei Li, Shuai Hu, and Lingbing Bu (2021), Application of M5 Model Tree in Passive Remote Sensing of Thin Ice Cloud Microphysical Properties in Terahertz Region, Rem. Sens., 13(13), doi:10.3390/rs13132569.
  14. Duan, Yongqiang, Zhenzhan Wang, Haowen Xu, and Wenyu Wang (2020), Simulation of the Spectrum Response for the THz Atmosphere Limb Sounder (TALIS), Sens., 20(2), doi:10.3390/s20020498.
  15. Duncan, David Ian, Patrick Eriksson, Simon Pfreundschuh, Christian Klepp, and Daniel C. Jones (2019), On the distinctiveness of observed oceanic raindrop distributions, Atmos. Chem. Phys., 19(10), 6969–6984, doi:10.5194/acp-19-6969-2019.
  16. Elsey, Jonathan, Marc D. Coleman, Tom D. Gardiner, Kaah P. Menang, and Keith P. Shine (2020), Atmospheric observations of the water vapour continuum in the near-infrared windows between 2500 and 6600 cm(-1), Atmos. Meas. Tech., 13(5), 2335–2361, doi:10.5194/amt-13-2335-2020.
  17. Emde, Claudia, Huan Yu, Arve Kylling, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and Bernhard Mayer (2022), Impact of 3D cloud structures on the atmospheric trace gas products from UV-Vis sounders - Part 1: Synthetic dataset for validation of trace gas retrieval algorithms, Atmos. Meas. Tech., 15(5), 1587–1608, doi:10.5194/amt-15-1587-2022.
  18. Fahey, Thomas, Maidul Islam, Alessandro Gardi, and Roberto Sabatini (2021), Laser Beam Atmospheric Propagation Modelling for Aerospace LIDAR Applications, Atmos., 12(7), doi:10.3390/atmos12070918.
  19. Forkman, Peter, Jonas Flygare, and Gunnar Elgered (2021), Water vapour radiometry in geodetic very long baseline interferometry telescopes: assessed through simulations, J. Geodesy, 95(11), doi:10.1007/s00190-021-01571-z.
  20. Galligani, Victoria Sol, Die Wang, Paola Belen Corrales, and Catherine Prigent (2021), A Parameterization of the Cloud Scattering Polarization Signal Derived From GPM Observations for Microwave Fast Radative Transfer Models, IEEE T. Geosci. Remote, 59(11), 8968–8977, doi:10.1109/TGRS.2021.3049921.
  21. Gao, Haiyang, Licheng Li, Lingbing Bu, Qilin Zhang, Zhen Wang, and Yuanhe Tang (2020), Measurement of mesopause temperature using the mesospheric airglow spectrum photometer (MASP), Opt. Comm., 464, doi:10.1016/j.optcom.2020.125546.
  22. Gao, Meng, Bryan A. Franz, Kirk Knobelspiesse, Peng-Wang Zhai, Vanderlei Martins, Sharon Burton, Brian Cairns, Richard Ferrare, Joel Gales, Otto Hasekamp, Yongxiang Hu, Amir Ibrahim, Brent McBride, Anin Puthukkudy, P. Jeremy Werdell, and Xiaoguang Xu (2021), Efficient multi-angle polarimetric inversion of aerosols and ocean color powered by a deep neural network forward model, Atmos. Meas. Tech., 14(6), 4083–4110, doi:10.5194/amt-14-4083-2021.
  23. Gong, Jie, Dong L. Wu, and Patrick Eriksson (2021), The first global 883 GHz cloud ice survey: IceCube Level 1 data calibration, processing and analysis, Earth Syst. Sci. Data, 13(11), 5369–5387, doi:10.5194/essd-13-5369-2021.
  24. Hagen, Jonas, Axel Murk, Rolf Rufenacht, Sergey Khaykin, Alain Hauchecorne, and Niklaus Kampfer (2018), WIRA-C: a compact 142-GHz-radiometer for continuous middle-atmospheric wind measurements, Atmos. Meas. Tech., 11(9), 5007–5024, doi:10.5194/amt-11-5007-2018.
  25. Hagen, Jonas, Klemens Hocke, Gunter Stober, Simon Pfreundschuh, Axel Murk, and Niklaus Kaempfer (2020), First measurements of tides in the stratosphere and lower mesosphere by ground-based Doppler microwave wind radiometry, Atmos. Chem. Phys., 20(4), 2367–2386, doi:10.5194/acp-20-2367-2020.
  26. Hagen, Jonas, Andres Luder, Axel Murk, and Niklaus Kaempfer (2020), Frequency-Agile FFT Spectrometer for Microwave Remote Sensing Applications, Atmos., 11(5), doi:10.3390/atmos11050490.
  27. He, Jieying and Haonan Chen (2019), Atmospheric Retrievals and Assessment for Microwave Observations from Chinese FY-3C Satellite during Hurricane Matthew, Rem. Sens., 11(8), doi:10.3390/rs11080896.
  28. He, Qiurui, Zhenzhan Wang, and Jiaoyang Li (2022), Fusion Retrieval of Sea Surface Barometric Pressure from the Microwave Humidity and Temperature Sounder and Microwave Temperature Sounder-II Onboard the Fengyun-3 Satellite, Rem. Sens., 14(2), doi:10.3390/rs14020276.
  29. He, Qiu-rui, Rui-ling Zhang, Jiao-yang Li, and Zhen-zhan Wang (2022), Research on the Application of the Radiative Transfer Model Based on Deep Neural Network in One-dimensional Variational Algorithm, J. Trop. Meteorol., 28(3), 326–342, doi:10.46267/j.1006-8775.2022.025.
  30. He, Qiurui, Zhenzhan Wang, Jiaoyang Li, and Wenyu Wang (2022), Sensitivity Testing of Microwave Temperature Sounder-II Onboard the Fengyun-3 Satellite to Sea Surface Barometric Pressure Based on Deep Neural Network, Rem. Sens., 14(12), doi:10.3390/rs14122839.
  31. He, W., Z. Wang, W. Wang, and Z. Zhang (2023), Sensitivity Analysis of Microwave Spectrometer for Atmospheric Temperature and Humidity Sounding on the New Generation Fengyun Satellite, IEEE J. Sel. Top. Appl. Rem. Sens., 16, 853–865, doi:10.1109/JSTARS.2022.3230845.
  32. Hocke, Klemens, Martin Lainer, Leonie Bernet, and Niklaus Kampfer (2018), Mesospheric Inversion Layers at Mid-Latitudes and Coincident Changes of Ozone, Water Vapour and Horizontal Wind in the Middle Atmosphere, Atmos., 9(5), doi:10.3390/atmos9050171.
  33. Iino, Takahiro (2021), Development of Open-Source-Based Software Planetary Atmospheric Spectrum Calculator (PASCAL) Specified for Millimeter/Submillimeter Observation of Titan with ALMA, In: Computational Science and its Applications, ICCSA 2021, PT V, pp. 234–244, Edited by Gervasi, O, B Murgante, S Misra, C Garau, I Blecic, D Taniar, BO Apduhan, AMAC Rocha, E Tarantino, and CM Torre, ISSN: 0302-9743, doi:10.1007/978-3-030-86976-2_16.
  34. Jones, Alexandra L. and Larry Di Girolamo (2018), Design and Verification of a New Monochromatic Thermal Emission Component for the I3RC Community Monte Carlo Model, J. Atmos. Sci., 75(3), 885–906, doi:10.1175/JAS-D-17-0251.1.
  35. Korkin, Sergey, Eun-Su Yang, Robert Spurr, Claudia Emde, Nickolay Krotkov, Alexander Vasilkov, David Haffner, Jungbin Mok, and Alexei Lyapustin (2020), Revised and extended benchmark results for Rayleigh scattering of sunlight in spherical atmospheres, J. Quant. Spectrosc. Radiat. Transfer, 254, doi:10.1016/j.jqsrt.2020.107181.
  36. Korkin, S., A. M. Sayer, A. Ibrahim, and A. Lyapustin (2022), A practical guide to writing a radiative transfer code, Comp. Phys. Comm., 271, doi:10.1016/j.cpc.2021.108198.
  37. Krochin, Witali, Francisco Navas-Guzman, David Kuhl, Axel Murk, and Gunter Stober (2022), Continuous temperature soundings at the stratosphere and lower mesosphere with a ground-based radiometer considering the Zeeman effect, Atmos. Meas. Tech., 15(7), 2231–2249, doi:10.5194/amt-15-2231-2022.
  38. Krochin, Witali, Gunter Stober, and Axel Murk (2022), Development of a Polarimetric 50-GHz Spectrometer for Temperature Sounding in the Middle Atmosphere, IEEE J. Sel. Top. Appl. Rem. Sens., 15, 5644–5651, doi:10.1109/JSTARS.2022.3186796.
  39. Lainer, Martin, Klemens Hocke, and Niklaus Kampfer (2018), Long-term observation of midlatitude quasi 2-day waves by a water vapor radiometer, Atmos. Chem. Phys., 18(16), 12061–12074, doi:10.5194/acp-18-12061-2018.
  40. Lainer, Martin, Klemens Hocke, Ellen Eckert, and Niklaus Kampfer (2019), Significant decline of mesospheric water vapor at the NDACC site near Bern in the period 2007 to 2018, Atmos. Chem. Phys., 19(9), 6611–6620, doi:10.5194/acp-19-6611-2019.
  41. Leppert, II, Kenneth D. and Daniel J. Cecil (2019), Sensitivity of Simulated GMI Brightness Temperatures to Variations in Particle Size Distributions in a Severe Hailstorm, J. Appl. Meteorol. Clim., 58(9), 1905–1930, doi:10.1175/JAMC-D-19-0031.1.
  42. Li-cheng, Li, Gao Hai-yang, Bu Ling-bing, Zhang Qi-lin, and Wang Zhen (2020), Inversion of Rotational Temperature in Airglow Layer Based on O-2 (0-1) Atmospheric Band Spectrum, Spectrosc. Spectr. Anal., 40(10), 3002–3009, doi:10.3964/j.issn.1000-0593(2020)10-3002-08.
  43. Li, Haiying, Zhensen Wu, Zhenwei Zhao, Leke Lin, Changsheng Lu, and Tan Qu (2018), Modified model of equivalent height for predicting atmospheric attenuation at frequencies below 350GHz, IET Microw., Ant. & Propag., 12(8), 1420–1427, doi:10.1049/iet-map.2017.1073.
  44. Li, Mengying, Zhouyi Liao, and Carlos F. M. Coimbra (2018), Spectral model for clear sky atmospheric longwave radiation, J. Quant. Spectrosc. Radiat. Transfer, 209, 196–211, doi:10.1016/j.jqsrt.2018.01.029.
  45. Li, Hai-Ying, Zhen-Sen Wu, Jia-Ji Wu, Le-Ke Lin, Chang-Sheng Lu, Zhen-Wei Zhao, and Tan Qu (2020), THz wave background radiation at upper troposphere, Multimed. Tools and Appl., 79(13-14), 8767–8780, doi:10.1007/s11042-018-6803-x.
  46. Li, S., L. Liu, H. Letu, S. Hu, P. Dong, H. Ren, and J. Ye (2023), Evaluation of the impacts of ice cloud vertical inhomogeneity on spaceborne passive submillimeter-wave simulations, Q. J. R. Meteorol. Soc., 149(752), 1073–1089, doi:10.1002/qj.4457.
  47. Liu, Yuli and Gerald G. Mace (2020), Synthesizing the Vertical Structure of Tropical Cirrus by Combining CloudSat Radar Reflectivity With In Situ Microphysical Measurements Using Bayesian Monte Carlo Integration, J. Geophys. Res.: Atm., 125(18), doi:10.1029/2019JD031882.
  48. Liu, L., C. Weng, S. Li, L. Husi, S. Hu, and P. Dong (2021), Technical Note: Passive Remote Sensing of Ice Cloud Properties at Terahertz Wavelengths Based on Genetic Algorithm, Rem. Sens., 13(4), 1–13, doi:10.3390/rs13040735.
  49. Liu, Yuli and Gerald G. Mace (2022), Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms, Atmos. Meas. Tech., 15(4), 927–944, doi:10.5194/amt-15-927-2022.
  50. Liu, Yuli, Gerald G. Mace, and Derek J. Posselt (2022), Assessing Synergistic Radar and Radiometer Retrievals of Ice Cloud Microphysics for the Atmosphere Observing System (AOS) Architecture, IEEE T. Geosci. Remote, 60, doi:10.1109/TGRS.2022.3165578.
  51. Marsh, Christopher B., Kevin R. Green, B. Wang, and Raymond J. Spiteri (2021), Performance improvements to modern hydrological models via lookup table optimizations, Env. Mod. & Software, 139, doi:10.1016/j.envsoft.2021.105018.
  52. Mathew, N., S. Sahoo, R. Ramachandran Pillai, and C. Suresh Raju (2020), Millimeter-Wave Radiometric Information Content Analysis for Venus Atmospheric Constituents, Radio Sci., 55(2), doi:10.1029/2019RS006913.
  53. McCusker, K., C. D. Westbrook, and A. Moiola (2019), Analysis of the internal electric fields of pristine ice crystals and aggregate snowflakes, and their effect on scattering, J. Quant. Spectrosc. Radiat. Transfer, 230, 155–171, doi:10.1016/j.jqsrt.2019.04.019.
  54. Mech, Mario, Maximilian Maahn, Stefan Kneifel, Davide Ori, Emiliano Orlandi, Pavlos Kollias, Vera Schemann, and Susanne Crewell (2020), PAMTRA 1.0: the Passive and Active Microwave radiative TRAnsfer tool for simulating radiometer and radar measurements of the cloudy atmosphere, Geosci. Model Dev., 13(9), 4229–4251, doi:10.5194/gmd-13-4229-2020.
  55. Mevi, Gabriele, Giovanni Muscari, Pietro Paolo Bertagnolio, Irene Fiorucci, and Giandomenico Pace (2018), VESPA-22: a ground-based microwave spectrometer for long-term measurements of polar stratospheric water vapor, Atmos. Meas. Tech., 11(2), 1099–1117, doi:10.5194/amt-11-1099-2018.
  56. Moreira, Lorena, Klemens Hocke, and Niklaus Kaempfer (2018), Short-term stratospheric ozone fluctuations observed by GROMOS microwave radiometer at Bern, Earth Planets Space, 70, doi:10.1186/s40623-017-0774-4.
  57. Newnham, David A., Mark A. Clilverd, Michael Kosch, Annika Seppala, and Pekka T. Verronen (2019), Simulation study for ground-based Ku-band microwave observations of ozone and hydroxyl in the polar middle atmosphere, Atmos. Meas. Tech., 12(2), 1375–1392, doi:10.5194/amt-12-1375-2019.
  58. Newnham, David A., Mark A. Clilverd, William D. J. Clark, Michael Kosch, Pekka T. Verronen, and Alan E. E. Rogers (2022), Ground-based Ku-band microwave observations of ozone in the polar middle atmosphere, Atmos. Meas. Tech., 15(8), 2361–2376, doi:10.5194/amt-15-2361-2022.
  59. Pan, Linjun and Daren Lu (2018), Terahertz band simulations using two different radiative transfer models, Sci. China-Earth Sci., 61(10), 1482–1490, doi:10.1007/s11430-017-9242-3.
  60. Peers, Fanny, Peter Francis, Steven J. Abel, Paul A. Barrett, Keith N. Bower, Michael Cotterell, I, Ian Crawford, Nicholas W. Davies, Cathryn Fox, Stuart Fox, Justin M. Langridge, Kerry G. Meyer, Steven E. Platnick, Kate Szpek, and Jim M. Haywood (2021), Observation of absorbing aerosols above clouds over the south-east Atlantic Ocean from the geostationary satellite SEVIRI - Part 2: Comparison with MODIS and aircraft measurements from the CLARIFY-2017 field campaign, Atmos. Chem. Phys., 21(4), 3235–3254, doi:10.5194/acp-21-3235-2021.
  61. Picard, Ghislain, Melody Sandells, and Henning Loewe (2018), SMRT: an active-passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0), Geosci. Model Dev., 11(7), 2763–2788, doi:10.5194/gmd-11-2763-2018.
  62. Ren, T., P. Yang, K. Garrett, Y. Ma, J. Ding, and J. Coy (2023), A Microphysics-Scheme-Consistent Snow Optical Parameterization for the Community Radiative Transfer Model, Mon. Weather Rev., 151(2), 383–402, doi:arts_2018_2023.
  63. Ryan, Niall J., Mathias Palm, Christoph G. Hoffmann, Jens Goliasch, and Justus Notholt (2019), Ground-based millimetre-wave measurements of middle-atmospheric carbon monoxide above Ny-Alesund (78.9 degrees N, 11.9 degrees E), Atmos. Meas. Tech., 12(7), 4077–4089, doi:10.5194/amt-12-4077-2019.
  64. Sauvageat, Eric, Roland Albers, Mikko Kotiranta, Klemens Hocke, R. Michael Gomez, Gerald Nedoluha, and Axel Murk (2021), Comparison of Three High Resolution Real-Time Spectrometers for Microwave Ozone Profiling Instruments, IEEE J. Sel. Top. Appl. Rem. Sens., 14, 10045–10056, doi:10.1109/JSTARS.2021.3114446.
  65. Sauvageat, E., E. M. Barras, K. Hocke, A. Haefele, and A. Murk (2022), Harmonized retrieval of middle atmospheric ozone from two microwave radiometers in Switzerland, Atmos. Meas. Tech., 15(21), 6395–6417, doi:10.5194/amt-15-6395-2022.
  66. Savorskiy, V. P., B. G. Kutuza, A. B. Akvilonova, I. N. Kibardina, O. Yu Panova, M. Danilychev, V, and S. Shirokov, V (2020), Enhancing the Efficiency of the Reconstruction of the Temperature and Humidity Profiles of the Cloud Atmosphere by the Data of Satellite Microwave Spectrometers, J. of Comm. Tech. and Elec., 65(7), 792–799, doi:10.1134/S1064226920070104.
  67. Scarlat, Raul Cristian, Christian Melsheimer, and Georg Heygster (2018), Retrieval of total water vapour in the Arctic using microwave humidity sounders, Atmos. Meas. Tech., 11(4), 2067–2084, doi:10.5194/amt-11-2067-2018.
  68. Schranz, Franziska, Susana Fernandez, Niklaus Kaempfer, and Mathias Palm (2018), Diurnal variation in middle- atmospheric ozone observed by ground- based microwave radiometry at Ny-Alesund over 1 year, Atmos. Chem. Phys., 18(6), 4113–4130, doi:10.5194/acp-18-4113-2018.
  69. Schranz, Franziska, Brigitte Tschanz, Rolf Ruefenacht, Klemens Hocke, Mathias Palm, and Niklaus Kaempfer (2019), Investigation of Arctic middle-atmospheric dynamics using 3 years of H2O and O-3 measurements from microwave radiometers at Ny-Alesund, Atmos. Chem. Phys., 19(15), 9927–9947, doi:10.5194/acp-19-9927-2019.
  70. Schranz, Franziska, Jonas Hagen, Gunter Stober, Klemens Hocke, Axel Murk, and Niklaus Kampfer (2020), Small-scale variability of stratospheric ozone during the sudden stratospheric warming 2018/2019 observed at Ny-angstrom lesund, Svalbard, Atmos. Chem. Phys., 20(18), 10791–10806, doi:10.5194/acp-20-10791-2020.
  71. Schreier, Franz, Sebastian Gimeno Garcia, Philipp Hochstaffl, and Steffen Staedt (2019), Py4CAtSPYthon for Computational ATmospheric Spectroscopy, Atmos., 10(5), doi:10.3390/atmos10050262.
  72. Sheese, Patrick E., Kaley A. Walker, Chris D. Boone, Adam E. Bourassa, Doug A. Degenstein, Lucien Froidevaux, C. Thomas McElroy, Donal Murtagh, James M. Russell Iii, and Jiansheng Zou (2022), Assessment of the quality of ACE-FTS stratospheric ozone data, Atmos. Meas. Tech., 15(5), 1233–1249, doi:10.5194/amt-15-1233-2022.
  73. Shi, Yu, Valerii Shulga, Oksana Ivaniha, Yuke Wang, Oleksandr Evtushevsky, Gennadi Milinevsky, Andrew Klekociuk, Aleksey Patoka, Wei Han, and Dmitry Shulga (2020), Comparison of Major Sudden Stratospheric Warming Impacts on the Mid-Latitude Mesosphere Based on Local Microwave Radiometer CO Observations in 2018 and 2019, Rem. Sens., 12(23), doi:10.3390/rs12233950.
  74. Shu-Lei, Li, Liu Lei, Gao Tai-Chang, Shi Li-Huai, Qiu Shi, and Hu Shuai (2018), Radiation characteristics of the selected channels for cirrus remote sensing in terahertz waveband and the influence factors for the retrieval method, JIMW, 37(1), 60–71, doi:10.11972/j.issn.1001-9014.2018.01.012.
  75. Song, Rui, Martin Kaufmann, Manfred Ern, Joern Ungermann, Guang Liu, and Martin Riese (2018), Three-dimensional tomographic reconstruction of atmospheric gravity waves in the mesosphere and lower thermosphere (MLT), Atmos. Meas. Tech., 11(5), 3161–3175, doi:10.5194/amt-11-3161-2018.
  76. Stegmann, Patrick G., Guanglin Tang, Ping Yang, and Benjamin T. Johnson (2018), A stochastic model for density-dependent microwave Snow- and Graupel scattering coefficients of the NOAA JCSDA community radiative transfer model, J. Quant. Spectrosc. Radiat. Transfer, 211, 9–24, doi:10.1016/j.jqsrt.2018.02.026.
  77. Tellier, Y., C. Crevoisier, R. Armante, J.-L. Dufresne, and N. Meilhac (2022), Computation of longwave radiative flux and vertical heating rate with 4A-Flux v1.0 as an integral part of the radiative transfer code 4A/OP v1.5, Geosci. Model Dev., 15(13), 5211–5231, doi:10.5194/gmd-15-5211-2022.
  78. Vasil'ev, V. S., O. Y. Panova, and V. P. Savorsky (2021), Information Infrastructure Ensuring Virtual Integration of the Satellite Microwave Radiometric Sensing Data, Radiophys. Quant. Elec., 64(8-9), 629–640, doi:10.1007/s11141-022-10165-4.
  79. Wang, Yuke, Valerii Shulga, Gennadi Milinevsky, Aleksey Patoka, Oleksandr Evtushevsky, Andrew Klekociuk, Wei Han, Asen Grytsai, Dmitry Shulga, Valery Myshenko, and Oleksandr Antyufeyev (2019), Winter 2018 major sudden stratospheric warming impact on midlatitude mesosphere from microwave radiometer measurements, Atmos. Chem. Phys., 19(15), 10303–10317, doi:10.5194/acp-19-10303-2019.
  80. Wang, Yingjie and Jean-Philippe Gastellu-Etchegorry (2020), DART: Improvement of thermal infrared radiative transfer modelling for simulating top of atmosphere radiance, Rem. Sen. Env., 251, doi:10.1016/j.rse.2020.112082.
  81. Wang, Wenyu, Zhenzhan Wang, and Yongqiang Duan (2020), Performance evaluation of THz Atmospheric Limb Sounder (TALIS) of China, Atmos. Meas. Tech., 13(1), 13–38, doi:10.5194/amt-13-13-2020.
  82. Wang, Wenyu, Zhenzhan Wang, and Yongqiang Duan (2020), Preliminary Evaluation of the Error Budgets in the TALIS Measurements and Their Impact on the Retrievals, Rem. Sens., 12(3), doi:10.3390/rs12030468.
  83. Wang, W., A. Murk, E. Sauvageat, W. Fan, C. Daetwyler, M. Hervo, A. Haefele, and K. Hocke (2023), An Indoor Microwave Radiometer for Measurement of Tropospheric Water, IEEE T. Geosci. Remote, 61, doi:10.1109/TGRS.2023.3261067.
  84. Weng, Chensi, Lei Liu, Taichang Gao, Shuai Hu, Shulei Li, Fangli Dou, and Jian Shang (2019), Multi-Channel Regression Inversion Method for Passive Remote Sensing of Ice Water Path in the Terahertz Band, Atmos., 10(8), doi:10.3390/atmos10080437.
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