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

      2021 Back to top

    1. Radtke, J., T. Mauritsen, and C. Hohenegger (2021), Shallow cumulus cloud feedback in large eddy simulations – bridging the gap to storm-resolving models, Atmos. Chem. Phys., 21(5), 3275–3288, doi:10.5194/acp-21-3275-2021.

      2. 2020 Back to top

    2. Larsson, R. and B. Lankhaar (2020), Zeeman effect splitting coefficients for ClO, OH and NO in some earth atmosphere applications, J. Quant. Spectrosc. Radiat. Transfer, 250, 107050, doi:10.1016/j.jqsrt.2020.107050.

      3. 2019 Back to top

    3. Larsson, R., B. Lankhaar, and P. Eriksson (2019), Updated Zeeman effect splitting coefficients for molecular oxygen in planetary applications, J. Quant. Spectrosc. Radiat. Transfer, 224, 431–438, doi:10.1016/j.jqsrt.2018.12.004.
    4. Zeng, Y., Z. Su, I. Barmpadimos, A. Perrels, P. Poli, K. Folkert Boersma, A. Frey, X. Ma, K. de Bruin, H. Goosen, V. O. John, R. Roebeling, J. Schulz, and W. Timmermans (2019), Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables, Rem. Sens., 11(10), 1186, doi:10.3390/rs11101186.
    5. Tabata, T., V. O. John, R. A. Roebeling, T. Hewison, and J. Schulz (2019), Re-calibration of over 35 years of infrared and water vapour channel radiances from the JMA geostationary satellites, Rem. Sens., 11(10), 1189, doi:10.3390/rs11101189.
    6. John, V. O., T. Tabata, F. Rüthrich, R. A. Roebeling, T. Hewison, R. Stoeckli, and J. Schulz (2019), On the methods to recalibrate geostationary longwave channels using polar orbiting infrared sounders, Rem. Sens., 11(10), 1171, doi:10.3390/rs11101171.
    7. Rüthrich, F., V. O. John, R. A. Roebeling, R. Quast, Y. Govaerts, E. Wooliams and, and J. Schulz (2019), Climate Data Records from Meteosat First Generation Part III: Recalibration and Uncertainty Tracing of the Visible channel on METEOSAT 2-7 using Reconstructed, Spectrally Changing Response Functions, Rem. Sens., 11(10), 1165, doi:10.3390/rs11101165.
    8. Stöckli, R., J. S. Bojanowski, V. O. John, A. Duguay-Tetzlaff, Q. Bourgeois, J. Schulz, and R. Hollmann (2019), Cloud Detection with historical Geostationary Satellite Sensors for Climate Applications, Rem. Sens., 11(9), 1052, doi:10.3390/rs11091052.

      9. 2018 Back to top

    9. Yamada, T., L. Rezac, R. Larsson, P. Hartogh, N. Yoshida, and Y. Kasai (2018), Solving non-LTE problems in rotational transitions using the Gauss-Seidel method and its implementation in the Atmospheric Radiative Transfer Simulator, A&A, 619, A181, doi:10.1051/0004-6361/201833566.
    10. Govaerts, Y. M., F. Rüthrich, V. O. John, and R. Quast (2018), Climate Data Records from Meteosat First Generation Part I: Simulation of Accurate Top-of-Atmosphere Spectral Radiance over Pseudo-Invariant Calibration Sites for the Retrieval of the In-Flight Visible Spectral Response, Rem. Sens., 10(12), 1959, doi:10.3390/rs10121959.
    11. Brönnimann, S., R. Allan, C. Atkinson, R. Buizza, O. Bulygina, P. Dahlgren, D. Dee, R. Dunn, P. Gomes, V. O. John, S. Jourdain, L. Haimberger, H. Hersbach, J. Kennedy, P. Poli, J. Pulliainen, N. Rayner, R. Saunders, J. Schulz, A. Sterin, A. Stickler, H. Titchner, M. A. Valente, C. Ventura, and C. Wilkinson (2018), Observations for Reanalyses, Bull. Amer. Met. Soc., 99(9), 1851–1866, doi:10.1175/BAMS-D-17-0229.1.
    12. Buizza, R., S. Brönnimann, L. Haimberger, P. Laloyaux, M.J. Martin, M. Fuentes, M. Alonso-Balmaseda, A. Becker, M. Blaschek, P. Dahlgren, E. de Boisseson, D. Dee, M. Doutriaux-Boucher, X. Feng, V.O. John, K. Haines, S. Jourdain, Y. Kosaka, D. Lea, F. Lemarié, M. Mayer, P. Messina, C. Perruche, P. Peylin, J. Pullainen, N. Rayner, E. Rustemeier, D. Schepers, R. Saunders, J. Schulz, A. Sterin, S. Stichelberger, A. Storto, C. Testut, M. Valente, A. Vidard, N. Vuichard, A. Weaver, J. While, and M. Ziese (2018), The EU-FP7 ERA-CLIM2 Project Contribution to Advancing Science and Production of Earth System Climate Reanalyses, Bull. Amer. Met. Soc., 99(5), 1003–1014, doi:10.1175/BAMS-D-17-0199.1.
    13. Su, Z., W. Timmermans, Y. Zeng, J. Schulz, V. O. John, R. A. Roebeling, P. Poli, D. Tan, F. Kaspar, A. Kaiser-Weiss, E. Swinnen, C. Toté, H. Gregow, T. Manninen, A. Riihelä, J.-C. Calvet, Y. Ma, and J. Wen (2018), An overview of European efforts in generating climate data records, Bull. Amer. Met. Soc., 99(2), 349–359, doi:10.1175/BAMS-D-16-0074.1.

      14. 2017 Back to top

    14. Poli, P., D. P. Dee, R. Saunders, V. O. John, P. Rayer, J. Schulz, K. Holmlund, D. Coppens, D. Klaes, J. E. Johnson, A. E. Esfandiari, I. V. Gerasimov, E. B. Zamkoff, A. F. Al-Jazrawi, D. Santek, M. Albani, P. Brunel, K. Fennig, M. Schroeder, S. Kobayashi, D. Oertel, W. Doehler, D. Spaenkuch, and S. Bojinski (2017), Recent advances in satellite data rescue, Bull. Amer. Met. Soc., 98(7), 1471–1484, doi:10.1175/BAMS-D-15-00194.1.
    15. Kobayashi, S., P. Poli, and V. O. John (2017), Characterisation of Special Sensor Microwave Water Vapor Profiler (SSM/T-2) radiances using radiative transfer simulations from global atmospheric reanalyses, Adv. Space. Res., 59(4), 917–935, doi:10.1016/j.asr.2016.11.017.

      16. 2016 Back to top

    16. Emde, C., R. Buras-Schnell, A. Kylling, B. Mayer, J. Gasteiger, U. Hamann, J. Kylling, B. Richter, C. Pause, T. Dowling, and L. Bugliaro (2016), The libRadtran software package for radiative transfer calculations (version 2.0.1), Geosci. Model Dev., 9, 1647–1672, doi:10.5194/gmd-9-1647-2016.
    17. Riuttanen, L., M. Bister, V.-M. Kerminen, V. O. John, A.-M. Sundström, M. Dal Maso, J. Räisänen, V. A. Sinclair, R. Makkonen, F. Xausa, G. de Leeuw, and M. Kulmala (2016), Observational evidence for aerosols increasing upper tropospheric humidity, Atmos. Chem. Phys., 16(22), 14331–14342, doi:10.5194/acp-16-14331-2016.
    18. Chung, E.-S., B. J. Soden, X. Huang, L. Shi, and V. O. John (2016), An assessment of the consistency between satellite measurements of upper tropospheric water vapor, J. Geophys. Res., 121(6), 2874–2887, doi:10.1002/2015JD024496.
    19. Yang, W., V. O. John, X. Zhao, H. Lu, and K. R. Knapp (2016), Satellite Climate Data Records: Development, Applications, and Societal Benefits, Rem. Sens., 8(4), 331, doi:10.3390/rs8040331.

      20. 2015 Back to top

    20. Galligani, V. S., C. Prigent, E. Defer, C. Jimenez, P. Eriksson, J.-P. Pinty, and J. P. Chaboureau (2015), Meso-scale modelling and radiative transfer simulations of a snowfall event over France at microwaves for passive and active modes and evaluation with satellite observations, Atmos. Meas. Tech., 8(3), 1605–1616, doi:10.5194/amt-8-1605-2015.
    21. Zeng, Y., Z. Su, J.-C. Calvet, T. Manninen, E. Swinnen, J. Schulz, R. Roebeling, P. Poli, D. Tan, A. Riihelä, C.-M. Tanis, A.-N. Arslan, A. Obregon, A. Kaiser-Weiss, V. O. John, W. Timmermans, J. Timmermans, F. Kaspar, H. Gregow, A.-L. Barbu, D. Fairbairn, E. Gelati, and C. Meurey (2015), Analysis of current validation practices in Europe for space-based Climate Data Records of Essential Climate Variables, Int. J. of Applied Earth Observation and Geoinformation, 42, 150–161, doi:10.1016/j.jag.2015.06.006.
    22. Mathew, N., V. O. John, C. S. Raju, and K. K. Moorthy (2015), Upper tropospheric humidity from SAPHIR on-board Megha-Tropiques, Curr. Sci., 108(10), 1915–1922.
    23. Clain, G., H. Brogniez, V. H. Payne and, V. O. John, and M. Luo (2015), An assessment of SAPHIR calibration using quality tropical soundings, J. Atmos. Oceanic Technol., 32, 61–78, doi:10.1175/JTECH-D-14-00054.1.

      24. 2013 Back to top

    24. Chung, E.-S., B. J. Soden, and V. O. John (2013), Intercalibrating microwave satellite observations for monitoring long-term variations in upper and mid-tropospheric water vapor, J. Atmos. Oceanic Technol., 30, 2303–2319, doi:10.1175/JTECH-D-13-00001.1.
    25. Shi, L., C. J. Schreck III, and V. O. John (2013), HIRS channel-12 brightness temperature dataset and its correlations with major climate indices, Atmos. Chem. Phys., 13, 6907–6920, doi:10.5194/acp-13-6907-2013.
    26. Moradi, I., H. Meng, R. R. Ferraro, and S. Bilanow (2013), Correcting geolocation errors for microwave instruments aboard NOAA satellites, IEEE T. Geosci. Remote, 51(6), 3625–3637, doi:10.1109/TGRS.2012.2225840.

      27. 2011 Back to top

    27. Bodas-Salcedo, A., M. J. Webb, S. Bony, H. Chepfer, J.-L. Dufresne, S. A. Klein, Y. Zhang, R. Marchand, J. M. Haynes, R. Pincus, and V. O. John (2011), COSP: satellite simulation software for model assessment, Bull. Amer. Met. Soc., 92, 1023–1043, doi:10.1175/2011BAMS2856.1.

      28. 2010 Back to top

    28. Allan, R. P., B. J. Soden, V. O. John, W. Ingram, and P. Good (2010), Current Changes in Tropical Precipitation, Environmental Research Letters, 5(2), doi:10.1088/1748-9326/5/2/025205.

      29. 2009 Back to top

    29. John, V. O., R. P. Allan, and B. J. Soden (2009), How robust are observed and simulated precipitation responses to tropical ocean warming?, Geophys. Res. Lett., 36, L14702, doi:10.1029/2009GL038276.

      30. 2007 Back to top

    30. Klaes, K. D., M. Cohen, Y. Buhler, P. Schlüssel, R. Munro, A. von Engeln, E. Ó Clérigh, H. Bonekamp, J. Ackermann, and J. Schmetz (2007), An introduction to the Eumetsat polar system, Bull. Amer. Met. Soc., 88(7), 1085–1096, doi:10.1175/BAMS-88-7-1085.
    31. John, V. O. and B. J. Soden (2007), Temperature and humidity biases in global climate models and their impact on climate feedbacks, Geophys. Res. Lett., 34, L18704, doi:10.1029/2007GL030429.
    32. Doherty, A. M., T. R. Sreerekha, U. M. O'Keeffe, and S. J. English (2007), Ice hydrometeor microphysical assumptions in radiative transfer models at AMSU-B frequencies, Q. J. R. Meteorol. Soc., 133(626), 1205–1212, doi:10.1002/qj.84.
    33. Emde, C. and B. Mayer (2007), Simulation of solar radiation during a total eclipse: a challenge for radiative transfer, Atmos. Chem. Phys., 7, 2259–2270, doi:10.5194/acp-7-2259-2007.
    34. Battaglia, A., C. P. Davis, C. Emde, and C. Simmer (2007), Microwave radiative transfer intercomparison study for 3-D dichroic media, J. Quant. Spectrosc. Radiat. Transfer, 105(1), 55–67, doi:10.1016/j.jqsrt.2006.09.017.

      35. 2006 Back to top

    35. John, V. O. and B. J. Soden (2006), Does convectively-detrained cloud ice enhance water vapor feedback?, Geophys. Res. Lett., 33, L20701, see corrections in John and Soden (2006), GRL, 33, L23701, doi:10.1029/2006GL028663, doi:10.1029/2006GL027260.

      36. 2004 Back to top

    36. von Engeln, A. and J. Teixeira (2004), A Ducting Climatology derived from ECMWF Global Analysis Fields, J. Geophys. Res., 109(D21), D18104, doi:10.1029/2003JD004380.
    37. Gierens, K. and P. Spichtinger (2004), Comment on The Impact of Temperature Errors on Perceived Humidity Supersaturation by S. A. Buehler and N. Courcoux, Geophys. Res. Lett., 31, L02113, doi:10.1029/2003GL018695.

      38. 2003 Back to top

    38. von Engeln, A., G. Nedoluha, and J. Teixeira (2003), An analysis of the frequency and distribution of ducting events in simulated radio occultation measurements based on ECMWF fields, J. Geophys. Res., 108(D21), 4669, doi:10.1029/2002JD003170.

    Books and Book Contributions

      2006 Back to top

    1. A., Battaglia, C. Simmer, S. Crewell, H. Czekala, C. Emde, F. Marzano, M. Mishchenko, J. Pardo, and C. Prigent (2006), Emission and scattering by clouds and precipitation, In: Thermal Microwave Radiation: Applications for Remote Sensing, chap. 3, pp. 101–242, Edited by Maetzler, C., The Institution of Engineering and Technology, ISBN 0 86341 573 3.
    2. Mätzler, C. and C. Melsheimer (2006), Radiative transfer and microwave radiometry, In: Thermal Microwave Radiation: Applications for Remote Sensing, chap. 1, pp. 1–23, Edited by Maetzler, C., The Institution of Engineering and Technology, ISBN 0 86341 573 3.

      3. 2004 Back to top

    3. von Engeln, A., G. Nedoluha, and G. Kirchengast (2004), Deviation from a hydrostatic atmosphere in radio occultation data, In: Occultations for Probing Atmosphere and Climate - Science from the OPAC-1 Workshop, pp. 119–126, Edited by Kirchengast, G., U. Foelsche, and A. Steiner, Springer Verlag.

    Theses

      2014 Back to top

    1. Albern, N. (2014), Wolken über dem Nordatlantik: Vergleich von flugzeuggetragenen Messungen eines Lidars, Wolkenradars und Mikrowellenradiometers während NARVAL-Nord, Bachelor's thesis, Universität Hamburg, Fachbereich Geowissenschaften, Meteorologisches Institut.

      2. 2006 Back to top

    2. Eliasson, Salomon (2006), An Extrapolation Technique of Cloud Characteristics Using Tropical Cloud Regimes, Master's thesis, Uppsala Universitet.

    Technical Reports and Proposals

      2014 Back to top

    1. Holl, G. (2014), EPS-SG ATBD For the ICI Ice Water Path Product, EUMETSAT, v1 Draft, 28 Feb 2014.
    2. John, V. O., R. Roebeling, and J. Schulz (2014), Core-Climax System Maturity Matrix (SMM) instruction manual, EUMETSAT.

    Articles in Conference Proceedings and Newsletters

      Internal Reports

        External references

        1. Buras, R., T. Dowling, and C. Emde (2011), New secondary-scattering correction in DISORT with increased efficiency for forward scattering, J. Quant. Spectrosc. Radiat. Transfer, 112, 2028–2034, doi:10.1016/j.jqsrt.2011.03.019.