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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In the Pipeline

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                External references

                1. 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.
                2. 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.
                3. 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.
                4. 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.
                5. 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.
                6. 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.
                7. 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.
                8. 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.
                9. 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.
                10. 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.
                11. 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.
                12. 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.
                13. 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.
                14. 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.
                15. 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.
                16. 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.
                17. 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.
                18. 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.
                19. 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.
                20. 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.
                21. 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.
                22. 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.
                23. 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.
                24. 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.
                25. 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.
                26. 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.
                27. 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.
                28. 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.
                29. 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.
                30. 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.
                31. 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.
                32. 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.
                33. 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.
                34. 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.
                35. 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.
                36. Schreier, Franz, Sebastian Gimeno Garcia, Philipp Hochstaffl, and Steffen Staedt (2019), Py4CAtSPYthon for Computational ATmospheric Spectroscopy, Atmos., 10(5), doi:10.3390/atmos10050262.
                37. 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.
                38. 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.
                39. 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.
                40. 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.
                41. 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.
                42. 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.
                43. 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.
                44. 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.
                45. 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.
                46. 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.
                47. 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.
                48. 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.