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

      2015 Back to top

    1. Klepp, C. (2015), The oceanic shipboard precipitation measurement network for surface validation — OceanRAINAtmos. Res., 163, 74–90, Special issue of the International Precipitation Working Group (IPWG), doi:10.1016/j.atmosres.2014.12.014.
    2. 2013 Back to top

    3. Kasai, Y., H. Sagawa, D. Kreyling, E. Dupuy, P. Baron, J. Mendrok, K. Suzuki, T. O. Sato, T. Nishibori, S. Mizobuchi, K. Kikuchi, T. Manabe, H. Ozeki, T. Sugita, M. Fujiwara, Y. Irimajiri, K. A. Walker, P. F. Bernath, C. Boone, G. Stiller, T. von Clarmann, J. Orphal, J. Urban, D. Murtagh, E. J. Llewellyn, D. Degenstein, A. E. Bourassa, N. D. Lloyd, L. Froidevaux, M. Birk, G. Wagner, F. Schreier, J. Xu, P. Vogt, T. Trautmann, and M. Yasui (2013), Validation of stratospheric and mesospheric ozone observed by SMILES from International Space StationAtmos. Meas. Tech., 6, 2311–2338, doi:10.5194/amt-6-2311-2013.
    4. Wetzel, G., H. Oelhaf, G. Berthet, A. Bracher, C. Cornacchia, D. G. Feist, H. Fischer, A. Fix, M. Iarlori, A. Kleinert, A. Lengel, M. Milz, L. Mona, S. C. Müller, J. Ovarlez, G. Pappalardo, C. Piccolo, P. Raspollini, J.-B. Renard, V. Rizi, S. Rohs, C. Schiller, G. Stiller, M. Weber, and G. Zhang (2013), Validation of MIPAS-ENVISAT H2O operational data collected between July 2002 and March 2004Atmos. Chem. Phys., 13, 5791–5811, doi:10.5194/acp-13-5791-2013.
    5. 2009 Back to top

    6. Milz, M., T. v. Clarmann, P. Bernath, C. Boone, S. A. Buehler, S. Chauhan, B. Deuber, D. G. Feist, B. Funke, N. Glatthor, U. Grabowski, A. Griesfeller, A. Haefele, M. Höpfner, N. Kämpfer, S. Kellmann, A. Linden, S. Müller, H. Nakajima, H. Oelhaf, E. Remsberg, S. Rohs, J. M. Russell III, C. Schiller, G. P. Stiller, T. Sugita, T. Tanaka, H. Vömel, K. Walker, G. Wetzel, T. Yokota, V. Yushkov, and G. Zhang (2009), Validation of water vapour profiles (version 13) retrieved by the IMK/IAA scientific retrieval processor based on full resolution spectra measured by MIPAS on board EnvisatAtmos. Meas. Tech., 2, 379–399, doi:10.5194/amt-2-379-2009.
    7. 2008 Back to top

    8. Müller, S. C., N. Kämpfer, D. G. Feist, A. Haefele, M. Milz, N. Sitnikov, C. Schiller, C. Kiemle, and J. Urban (2008), Validation of stratospheric water vapour measurements from the airborne microwave radiometer AMSOSAtmos. Chem. Phys., 8, 3169–3183, doi:10.5194/acp-8-3169-2008.

    Books and Book Contributions

      Theses

        Technical Reports and Proposals

          Articles in Conference Proceedings and Newsletters

            Internal Reports

              External references

              1. Atkinson, N. C. (2001), Calibration, monitoring and validation of AMSU-BAdv. Space. Res., 28(1), 117–126, doi:10.1016/S0273-1177(01)00312-X.
              2. Brocca, L., S. Hasenauer, T. Lacava, F. Melone, T. Moramarco, W. Wagner, W. Dorigo, P. Matgen, J. Martínez-Fernández, P. Llorens, J. Latron, C. Martin, and M. Bittelli (2011), Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across EuropeRem. Sen. Env., 115, 3390–3408, doi:10.1016/j.rse.2011.08.003.
              3. Deng, M., G. G. Mace, Z. Wang, and R. P. Lawson (2013), Evaluation of Several A-Train Ice Cloud Retrieval Products with In Situ Measurements Collected during the SPARTICUS CampaignJ. Appl. Meteorol. Clim., 52(4), 1014–1030, doi:10.1175/JAMC-D-12-054.1.
              4. Hudak, D., H. Barker, P. Rodriguez, and D. Donovan (2006), The Canadian CloudSat Validation Project, In: Proceedings of the 4th European Conference on Radar in Meteorology and Hydrology, Barcelona, Spain, September 18-22, 2006.
              5. Illingworth, S. M., J. J. Remedios, and R. J. Parker (2009), Intercomparison of integrated IASI and AATSR calibrated radiances at 11 and 12 μmAtmos. Chem. Phys., 9, 6677–6683, doi:10.5194/acp-9-6677-2009.
              6. Johnsen, K.-P., J. Miao, and S. Q. Kidder (2004), Comparison of atmospheric water vapor over Antarctica derived from CHAMP/GPS and AMSU-B dataPhys. Chem. Earth, 29, 251–255, doi:10.1016/j.pce.2004.01.005.
              7. Pougatchev, N. (2008), Validation of atmospheric sounders by correlative measurementsAppl. Opt., 46, 4739–4748.
              8. Pougatchev, N., T. August, X. Calbet, T. Hultberg, O. Oduleye, P. Schlüssel, B. Stiller, K. St. Germain, and G. Bingham (2009), IASI temperature and water vapor retrievals — error assessment and validationAtmos. Chem. Phys., 9, 6453–6458, doi:10.5194/acp-9-6453-2009.
              9. Shephard, M. W., R. L. Herman, B. M. Fisher, K. E. Cady-Pereira, S. A. Clough, V. H. Payne, D. N. Whiteman, J. P. Comer, H. Vömel, L. M. Miloshevich, R. Forno, M. Adam, G. B. Osterman, A. Eldering, J. R. Worden, L. R. Brown, H. M. Worden, S. S. Kulawik, D. M. Rider, A. Goldman, R. Beer, K. W. Bowman, C. D. Rodgers, M. Luo, C. P. Rinsland, M. Lampel, and M. R. Gunson (2008), Comparison of Tropospheric Emission Spectrometer nadir water vapor retrievals with in situ measurementsJ. Geophys. Res., 113(D15), doi:10.1029/2007JD008822.
              10. Smith, E. A., P. Bauer, F. S. Marzano, C. D. Kummerow, D. McKague, A. Mugnai, and G. Panegrossi (2002), Intercomparison of Microwave Radiative Transfer Models for Precipitating CloudsIEEE Geosci. Remote Sens., 40(3), 541–549.
              11. Spichtinger, P. and K. M. Gierens (2009), Modelling of cirrus clouds — Part 1a: Model description and validationAtmos. Chem. Phys., 9, 685–706, doi:10.5194/acp-9-685-2009.
              12. Weng, F. and T. Mo (2005), NOAA Technical Report NESDIS 119 Calibration and Validation of NOAA-18 Instruments, U.S. Department of Commerce.
              13. Whiteman, D. N., F. Russo, B. Demoz, L. M. Miloshevich, I. Veselovskii, S. Hannon, Z. Wang, H. Vomel, F. Schmidlin, B. Lesht, P. J. Moore, A. S. Beebe, A. Gambacorta, and C. Barnet (2006), Analysis of Raman lidar and radiosonde measurements from the AWEX-G field campaign and its relation to Aqua validationJ. Geophys. Res., 111, 1–15, doi:10.1029/2005JD006429.
              14. Wu, D. L., J. H. Jiang, W. G. Read, R. T. Austin, C. P. Davis, A. Lambert, G. L. Stephens, D. G. Vane, and J. W. Waters (2008), Validation of the Aurs MLS cloud ice water content measurementsJ. Geophys. Res., 113, D15S10, doi:10.1029/2007JD008931.
              15. Zhou, D. K., W. L. Smith, A. M. Larar, X. Liu, J. P. Taylor, P. Schlüssel, L. L. Strow, and S. A. Mango (2009), All weather IASI single field-of-view retrievals: case study — validation with JAIVEx dataAtmos. Chem. Phys., 9(6), 2241–2255, doi:10.5194/acp-9-2241-2009.