All Publications

Below is the combined list of references from refs_sat.bib and refs_external.bib. It is intended for our group's internal use.

| 2c-ice | a-train | abs lookup | absorption | absorption cross-sections | accuracy | active | aerosol | aerosols | age of air | aggregation | airs | albedo | algorithm | amsos | amsu | annual cycle | anomalies | app: all-sky remote sensing | app: clear-sky remote sensing | app: other remote sensing | app: planets | app: radiation and climate | app: solar | app: spectroscopy | aqua | ar4 | ar5 | arctic | arm | arts | arts-dev | arts_2018_2023 | asr | assimilation | astronomy | astrophysics | asymmetry | atmosphere | atmospheric composition | atmospheric dynamics | atmospheric modeling | atmospheric profiles | atsr-2 | avhrr | bachelor thesis | backscattering | basics | bayes | bias | biomass | book | by: external | by: internal | calculation | calculations | calibration | calipso | ccn | cdr | ceres | cfmip | chemistry | cia | ciraclim | cirrus | cirrus anvil sublimation | cirrus cloud | cirrus clouds | cirrusstudy | ciwsir/cloudice | claus | cliccs | climate | climate change | climate dynamics | climate feedbacks | climate sensitivity | climate sensivity | climate variability | climatology | cloud feedback | cloud forcing | cloud fraction | cloud ice | cloud ice mission | cloud optical thickness | cloud properties | cloud radiative effects | cloud radiative forcing | cloud regimes | cloud top pressure | cloudice mission | clouds | cloudsat | clustering | cmip3 | cmip5 | cmip6 | cmsaf | co2 | collision-induced absorption | collocation | collocations | comparison | complex probability function | computer science | continua | contrail | convection | convective clouds | convective processes | convective self-aggregation | correlated k | cosmic background | cosmic rays | cosp | cost 723 qjrms | cross-calibration | cth | cumulus | dardar | data assimilation | data bases | dda | deep convection | delta m | dimer | disort | diurnal cycle | dlr-smiles | dmsp | documentation | doppler | droplet size | dynamics | earth | earthcare | ec earth | echam | ecmwf | effective radius | electromagnetism | electron content | elevation | elevation satellite-2 | emd | emde | emissivity | enso | eof-pca-svd | erbe | error assessment | ers | eruption | esa planetary | exoplanets | extraterrestrial | faddeyeva function | fall speed | far-infrared | faraday-voigt | fcdr | feedback | feedbacks | fingerprinting | flux uav | forcing | forest fire | fox19_airborne_amt.pdf | friend | fun | function evaluation | fuzzy inference system | fuzzy logic | gcm | genesis | geostationary | gerrit_erca | global warming | gnss | goes | gps | gras | graupel | gravitational lensing | greenhouse effect | ground-based | groundbased | habil | hadley circulation | hail | hamburg | heating rate | heating rates | herschel | hiatus | hirs | history | hitran | hsb | humidity | hydrological sensitivity | hydrological sensivity | hydrometeors | iasi | ice | ice clouds | ice crystal growth | ice nucleation | ice water | icesat-2 | ici | icon | icz | in situ | infrared | infrared sounder | instruments | inter-calibration | intercalibration | intercomparison | interference | inverse modelling | ipcc | ir | ir/vis | iris | isccp | ismar | isotopes | itcz | iwc | iwp | iwv | john | jupiter | kalpana | kessler scheme | lblrtm | licentiate thesis | lidar | limb effect | limb sounding | limb-correction | line-shape | linemixing | lineshape | liquid water | liquid water path | longwave radiation | low-cloud feedback | magnetic field | magnetism | mars | mas | mass-dimension relation | master thesis | masters thesis | math | matlab | megha-tropiques | mendrok | mesoscale organization | meteorology | meteosat | methane ocean | metop | mhs | microphysics | microwave | microwave humidity | microwave radiometry | milz | mipas | mirs | misr | mixed phase | mls | model | modeling | models | modis | molecular opacities | molecular spectroscopy | monte carlo | moon | mspps | msu | mth | multi-moment scheme | multisensor | mwhs | mwi | net radiation | neural network | nicam | nlte | noaa | nonsphericity | npoess | observation | ocean | ocean reflection | ocean-atmosphere interactions | odin | olr | one-moment scheme | open loop | optical | optical depth | optical properties | optics | orbital drift | orbital drift correction | orbits | ozone | pacific ocean | particle orientation | particle shape | particle size | particle size distribution | passive | patmos-x | phase function | phd thesis | planetary evolution | polarimetry | polarization | polder | potss | precipitation | profile datasets | programming | projection | promet | propagation modeling | python | radar | radiation | radiation profiles | radiative convective equilibrium | radiative equilibrium | radiative feedback | radiative fluxes | radiative forcing | radiative processes | radiative transfer | radiative-convective equilibrium | radiative-equilibrium | radio occultation | radiometer | radiometers | radiosonde | radiosonde cloud liquid | radiosonde correction | radiosonde corrections | rain | reanalysis | refractive index | relative humidity | remote sensing | retrieval | retrievals | review | rodgers | rttov | sahara | sahel | sampling | sand/dust | sar | satellite | satellite missions | satellite observations | satellite simulator | sbuehler_habil | scattering | scattering databases | scintillations | scout-amma | self-aggregation | sensor geometry | seviri | shallow convection | simulated annealing | single scattering | smiles | sno | snow | snowfall | software | soil | solar | soot | sounders | spectral information | spectral integration | spectroscopic database | spectroscopic line parameters | spectroscopy | speed-dependent profiles | split window technique | sreerekha | ssm/i | ssm/t | ssmis | ssmt2 | stability | stars | statistics | ste | stereo | stratosphere | submillimeter | submm | sun | supersaturation | surface | synergies | synergy | task2 | tempera | temperature | terra | thermodynamics | time series | titan | tkuhn | toa radiation | top of the atmosphere | total column | tovs | trade-wind clouds | trajectory analysis | trend | trmm | tropical circulation | tropical convection | tropical meteorology | tropics | tropopause | troposphere | ttl | turbulence | tutorial | two-moment scheme | upper troposphere | uth | uthmos | utls | validation | vater vapor | venus | visualization | volcanic ash | walker | walker circulation | walker rirculation | water | water cycle | water dimer | water vapor | water vapor continuum | water vapour | water vapour path | water-vapour | what: mention | what: unknown | what: use | wind | zeeman |

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Group references

In the Pipeline

    Articles

      2022 Back to top

    1. Pfreundschuh, S., S. Fox, P. Eriksson, D. Duncan, S. A. Buehler, M. Brath, R. Cotton, and F. Ewald (2022), Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems, Atmos. Meas. Tech., 15(3), 677–699, doi:10.5194/amt-15-677-2022.

      2. 2018 Back to top

    2. Aires, F., C. Prigent, S. A. Buehler, P. Eriksson, M. Milz, and S. Crewell (2018), Towards more realistic hypotheses for the information content analysis of cloudy/precipitating situations – Application to a hyperspectral instrument in the microwave, Q. J. R. Meteorol. Soc., 145(718, A), 1–14, doi:10.1002/qj.3315.

    Books and Book Contributions

      Theses

        Technical Reports and Proposals

          Articles in Conference Proceedings and Newsletters

            Internal Reports

              External references

              1. Adams, Ian Stuart and Justin Bobak (2018), The Feasibility of Detecting Supercooled Liquid With a Forward-Looking Radiometer, IEEE J. Sel. Top. Appl. Rem. Sens., 11(6, SI), 1932–1938, Publisher: Institute of Elect & Electron Engineers Geoscience & Remote Sensing Soc; IEEE; IEEE GRSS, doi:10.1109/JSTARS.2018.2844684.
              2. Adams, Ian S., S. Joseph Munchak, Kwo-Sen Kuo, Craig Pelissier, Thomas Clune, Rachael Kroodsma, Adrian Loftus, and Xioawen Li (2019), Active and passive radiative transfer simulations for GMP-related field campaigns, In: 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), pp. 4553–4556, Inst Elect & Elect Engineers; Inst Elect & Elect Engineers, Geoscience & Remote Sensing Soc, ISSN: 2153-6996.
              3. Allen, Michael A., James A. Voogt, and Andreas Christen (2018), Time-Continuous Hemispherical Urban Surface Temperatures, Rem. Sens., 10(1), doi:10.3390/rs10010003.
              4. 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.
              5. Barlakas, Vasileios and Patrick Eriksson (2020), Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations, Rem. Sens., 12(3), doi:10.3390/rs12030531.
              6. 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.
              7. 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.
              8. 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.
              9. 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.
              10. 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.
              11. 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.
              12. 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.
              13. 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.
              14. 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.
              15. 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.
              16. 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.
              17. 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.
              18. 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.
              19. Duncan, David Ian, Patrick Eriksson, and Simon Pfreundschuh (2019), An experimental 2D-Var retrieval using AMSR2, Atmos. Meas. Tech., 12(12), 6341–6359, doi:10.5194/amt-12-6341-2019.
              20. Ekelund, Robin, Patrick Eriksson, and Michael Kahnert (2020), Microwave single-scattering properties of non-spheroidal raindrops, Atmos. Meas. Tech., 13(12), 6933–6944, doi:10.5194/amt-13-6933-2020.
              21. Ekelund, Robin, Patrick Eriksson, and Simon Pfreundschuh (2020), Using passive and active observations at microwave and sub-millimetre wavelengths to constrain ice particle models, Atmos. Meas. Tech., 13(2), 501–520, doi:10.5194/amt-13-501-2020.
              22. 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.
              23. 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.
              24. 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.
              25. 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.
              26. Fox, S. (2020), An Evaluation of Radiative Transfer Simulations of Cloudy Scenes from a Numerical Weather Prediction Model at Sub-Millimetre Frequencies Using Airborne Observations, Rem. Sens., 12(17), doi:10.3390/rs12172758.
              27. 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.
              28. 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.
              29. 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.
              30. Geer, Alan J., Peter Bauer, Katrin Lonitz, Vasileios Barlakas, Patrick Eriksson, Jana Mendrok, Amy Doherty, James Hocking, and Philippe Chambon (2021), Bulk hydrometeor optical properties for microwave and sub-millimetre radiative transfer in RTTOV-SCATT v13.0, Geosci. Model Dev., 14(12), 7497–7526, doi:10.5194/gmd-14-7497-2021.
              31. 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.
              32. Gordon, I. E., L. S. Rothman, R. J. Hargreaves, R. Hashemi, E. V. Karlovets, F. M. Skinner, E. K. Conway, C. Hill, R. V. Kochanov, Y. Tan, P. Wcisło, A. A. Finenko, K. Nelson, P. F. Bernath, M. Birk, V. Boudon, A. Campargue, K. V. Chance, A. Coustenis, B. J. Drouin, J.?M. Flaud, R. R. Gamache, J. T. Hodges, D. Jacquemart, E. J. Mlawer, A. V. Nikitin, V. I. Perevalov, M. Rotger, J. Tennyson, G. C. Toon, H. Tran, V. G. Tyuterev, E. M. Adkins, A. Baker, A. Barbe, E. Cané, A. G. Császár, A. Dudaryonok, O. Egorov, A. J. Fleisher, H. Fleurbaey, A. Foltynowicz, T. Furtenbacherand J. J. Harrison, J.?M. Hartmann, V.?M. Horneman, X. Huang, T. Karman, J. Karns, S. Kassi, I. Kleiner, V. Kofman, F. Kwabia?Tchana, N. N. Lavrentieva, T. J. Lee, D. A. Long, A. A. Lukashevskaya, O. M. Lyulin, V. Yu. Makhnev, W. Matt, S. T. Massie, M. Melossoand S. N. Mikhailenko, D. Mondelain, H. S. P. Müller, O. V. Naumenko, A. Perrin, O. L. Polyansky, E. Raddaoui, P. L. Raston, Z. D. Reed, M. Rey, C. Richard, R. Tóbiás, I. Sadiekand, D. W. Schwenke, E. Starikova, K. Sung, F. Tamassia, S. A. Tashkun, J. Vander Auwera, I. A. Vasilenko, A. A. Vigasin, G. L. Villanueva, B. Vispoel, G. Wagner, A. Yachmenev, and S. N. Yurchenko (2022), The HITRAN2020 molecular spectroscopic database, J. Quant. Spectrosc. Radiat. Transfer, 277, doi:10.1016/j.jqsrt.2021.107949.
              33. Grieco, Francesco, Kristell Perot, Donal Murtagh, Patrick Eriksson, Peter Forkman, Bengt Rydberg, Bernd Funke, Kaley A. Walker, and Hugh C. Pumphrey (2020), Recovery and validation of Odin/SMR long-term measurements of mesospheric carbon monoxide, Atmos. Meas. Tech., 13(9), 5013–5031, doi:10.5194/amt-13-5013-2020.
              34. Grieco, Francesco, Kristell Perot, Donal Murtagh, Patrick Eriksson, Bengt Rydberg, Michael Kiefer, Maya Garcia-Comas, Alyn Lambert, and Kaley A. Walker (2021), Improvement of Odin/SMR water vapour and temperature measurements and validation of the obtained data sets, Atmos. Meas. Tech., 14(8), 5823–5857, doi:10.5194/amt-14-5823-2021.
              35. 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.
              36. 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.
              37. 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.
              38. 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.
              39. 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.
              40. 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.
              41. 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.
              42. 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.
              43. 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.
              44. 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.
              45. 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.
              46. Kaur, Inderpreet, Patrick Eriksson, Simon Pfreundschuh, and David Ian Duncan (2021), Can machine learning correct microwave humidity radiances for the influence of clouds?, Atmos. Meas. Tech., 14(4), 2957–2979, doi:10.5194/amt-14-2957-2021.
              47. Kaur, Inderpreet, Patrick Eriksson, Vasileios Barlakas, Simon Pfreundschuh, and Stuart Fox (2022), Fast Radiative Transfer Approximating Ice Hydrometeor Orientation and Its Implication on IWP Retrievals, Rem. Sens., 14(7), doi:10.3390/rs14071594.
              48. 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.
              49. 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.
              50. 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.
              51. 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.
              52. 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.
              53. 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.
              54. Larsson, R., Y. Kasai, T. Kuroda, S. Sato, T. Yamada, H. Maezawa, Y. Hasegawa, T. Nishibori, S. Nakasuka, and P. Hartogh (2018), Mars submillimeter sensor on microsatellite: sensor feasibility study, Geosci. Instr., Methods and Data Syst., 7(4), 331–341, doi:10.5194/gi-7-331-2018.
              55. 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.
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