| a-train | abs lookup | absorption | absorption cross-sections | accuracy | aerosols | aggregation | airs | albedo | algorithm | 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 | astrophysics | atmosphere | atmospheric composition | atmospheric dynamics | atmospheric modeling | atmospheric profiles | atsr-2 | avhrr | backscattering | basics | bayes | 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 | climate | climate change | climate dynamics | climate feedbacks | climate sensitivity | climate sensivity | climate variability | climatology | cloud feedback | cloud forcing | cloud fraction | cloud ice | cloud properties | cloud radiative effects | cloud radiative forcing | cloud regimes | clouds | cloudsat | cmip3 | cmip5 | cmip6 | cmsaf | co2 | collision-induced absorption | collocation | comparison | complex probability function | computer science | continua | contrail | convection | convective clouds | convective processes | convective self-aggregation | correlated k | cosmic background | cosmic rays | cosp | cross-calibration | cth | cumulus | dardar | data bases | dda | deep convection | delta m | dimer | disort | diurnal cycle | dmsp | documentation | droplet size | dynamics | earth | earthcare | echam | ecmwf | effective radius | electromagnetism | electron content | elevation | elevation satellite-2 | emd | 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 | gcm | genesis | geostationary | gerrit_erca | global warming | gnss | goes | gps | gras | graupel | greenhouse effect | groundbased | hadley circulation | hail | heating rate | heating rates | herschel | hiatus | hirs | history | hitran | hsb | humidity | hydrological sensitivity | hydrological sensivity | iasi | ice | ice clouds | ice crystal growth | ice nucleation | ice water | icesat-2 | ici | icon | icz | in situ | infrared | instruments | intercalibration | intercomparison | interference | inverse modelling | ipcc | ir/vis | iris | isccp | ismar | isotopes | itcz | iwc | iwp | iwv | jupiter | kessler scheme | lblrtm | 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 | masters thesis | math | matlab | megha-tropiques | mendrok | mesoscale organization | meteorology | meteosat | metop | mhs | microphysics | microwave | mipas | mirs | misr | mixed phase | mls | model | modeling | models | modis | molecular opacities | molecular spectroscopy | monte carlo | 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 | orbits | ozone | pacific ocean | particle orientation | particle shape | particle size | particle size distribution | patmos-x | phase function | phd thesis | 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 | radiometers | radiosonde | radiosonde cloud liquid | radiosonde correction | rain | reanalysis | refractive index | relative humidity | remote sensing | retrieval | 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 | ssm/i | ssm/t | ssmis | ssmt2 | stability | statistics | ste | stereo | stratosphere | submillimeter | submm | sun | supersaturation | surface | synergies | task2 | tempera | temperature | terra | thermodynamics | time series | titan | 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 | utls | validation | vater vapor | venus | visualization | volcanic ash | 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 |

Hide tag cloud

Filter by author:
Filter by year:
Filter by bibtex key:
Filter by type:
Filter by keyword:
and
and
 

Filtered by keyword:what: use

There is currently a filter applied. To see the complete list of publications, clear the filter.
  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. 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.
  4. 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.
  5. 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.
  6. 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.
  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. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  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. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  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, 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. Pfreundschuh, S., P. Eriksson, D. Duncan, B. Rydberg, N. Hakansson, and A. Thoss (2018), A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems, Atmos. Meas. Tech., 11(8), 4627–4643, doi:10.5194/amt-11-4627-2018.
  57. 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.
  58. 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.
  59. 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.
  60. 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.
  61. 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.
  62. 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.
  63. 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.
  64. 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.
  65. 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.
  66. 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.
  67. 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.
  68. 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.
  69. 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.
  70. 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.
  71. 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.
  72. 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.
  73. 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.
  74. Xu, Haowen, Hao Lu, Zhenzhan Wang, Wenming He, and Wenyu Wang (2021), Effect Analysis of the Digital Spectrometer FFT Algorithm on THz Atmospheric Limb Sounder (TALIS) System Sensitivity, Rem. Sens., 13(15), doi:10.3390/rs13152921.
  75. Yamada, T., T. O. Sato, T. Adachi, H. Winkler, K. Kuribayashi, R. Larsson, N. Yoshida, Y. Takahashi, M. Sato, A. B. Chen, R. R. Hsu, Y. Nakano, T. Fujinawa, S. Nara, Y. Uchiyama, and Y. Kasai (2020), HO2 Generation Above Sprite-Producing Thunderstorms Derived from Low-Noise SMILES Observation Spectra, Geophys. Res. Lett., 47(3), doi:10.1029/2019GL085529.
  76. Yang, Hu and Martin Burgdorf (2020), A Study of Lunar Microwave Radiation Based on Satellite Observations, Rem. Sens., 12(7), doi:10.3390/rs12071129.
  77. Yu, H., C. Emde, A. Kylling, B. Veihelmann, B. Mayer, K. Stebel, and M. Van Roozendael (2022), Impact of 3D cloud structures on the atmospheric trace gas products from UV-Vis sounders - Part 2: Impact on NO2 retrieval and mitigation strategies, Atmos. Meas. Tech., 15(19), 5743–5768, doi:10.5194/amt-15-5743-2022.
  78. Zhu, Songyan, Xiaoying Li, Jian Xu, Tianhai Cheng, Xingying Zhang, Hongmei Wang, Yapeng Wang, and Jing Miao (2019), Neural network aided fast pointing information determination approach for occultation payloads from in-flight measurements: Algorithm design and assessment, Adv. Space. Res., 63(8), 2323–2336, doi:10.1016/j.asr.2019.01.041.