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 | active | aerosol | aerosols | age of air | aggregation | airs | albedo | algorithm | amsos | amsu | annual cycle | anomalies | aqua | ar4 | ar5 | arctic | arm | arts | arts-dev | asr | assimilation | astronomy | astrophysics | asymmetry | atmosphere | atmospheric composition | atmospheric dynamics | atmospheric profiles | atsr-2 | avhrr | bachelor thesis | backscattering | basics | bayes | bias | biomass | book | 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 | collocation | collocations | comparison | 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 | fall speed | far-infrared | faraday-voigt | fcdr | feedback | feedbacks | fingerprinting | flux uav | forcing | forest fire | fox19_airborne_amt.pdf | friend | fun | 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 | 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 | 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 | 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 | 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 | spectroscopy | 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 | wind | zeeman |

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Group references

In the Pipeline

    Articles

      2013 Back to top

    1. Millàn, L., W. Read, Y. Kasai, A. Lambert, N. Livesey, J. Mendrok, H. Sagawa, T. Sano, M. Shiotani, and D. L. Wu (2013), SMILES ice cloud products, J. Geophys. Res., 118(12), 6468–6477, doi:10.1002/jgrd.50322.

    Books and Book Contributions

      Theses

        Technical Reports and Proposals

          Articles in Conference Proceedings and Newsletters

            Internal Reports

              External references

              1. Abel, S. J., R. J. Cotton, P. A. Barrett, and A. K. Vance (2014), A comparison of ice water content measurement techniques on the FAAM BAe-146 aircraft, Atmos. Meas. Tech., 7(9), 3007–3022, doi:10.5194/amt-7-3007-2014.
              2. Austin, R. T., A. J. Heymsfield, and G. L. Stephens (2009), Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature, J. Geophys. Res., 114, D00A23, doi:10.1029/2008JD010049.
              3. Avery, M. A., D. M. M. Winker, A. J. Heymsfield, M. A. Vaughan, S. A. Young, Y. Hu, and C. R. Trepte (2012), Cloud ice water content retrieved from the CALIOP space-based lidar, Geophys. Res. Lett., 39, L05808, doi:10.1029/2011GL050545.
              4. Baker, B. and R. P. Lawson (2006), Improvement in determination of ice water content from two-dimensional particle imagery. Part I: Image-to-mass relationships, J. Appl. Meteorol. Clim., 45(9), 1282–1290.
              5. Baran, A. J., P. J. Connolly, and C. Lee (2009), Testing an ensemble model of cirrus ice crystals using midlatitude in situ estimates of Ice water content, volume extinction coefficient and the total solar optical depth, J. Quant. Spectrosc. Radiat. Transfer, 110, 1579–1598, doi:10.1016/j.jqsrt.2009.02.021.
              6. Baran, A. J., P. J. Connolly, A. J. Heymsfield, and A. Bansemer (2010), Using in situ estimates of ice water content, volume extinction coefficient, and the total solar optical depth obtained during the tropical ACTIVE campaign to test an ensemble model of cirrus ice crystals, Q. J. R. Meteorol. Soc., doi:10.1002/qj.731.
              7. Baran, A. J., A. Bodas-Salcedo, R. Cottona, and C. Lee (2011), Simulating the equivalent radar reflectivity of cirrus at 94 GHz using an ensemble model of cirrus ice crystals: a test of the Met Office global numerical weather prediction model, Q. J. R. Meteorol. Soc., Not published yet, doi:10.1002/qj.870.
              8. Baran, Anthony J., Peter Hill, Kalli Furtado, Paul Field, and James Manners (2014), A Coupled Cloud Physics-Radiation Parameterization of the Bulk Optical Properties of Cirrus and its Impact on the Met Office Unified Model Global, J. Climate, in press, doi:10.1175/JCLI-D-13-00700.1.
              9. Delanoë, J. and R. J. Hogan (2010), Combined CloudSat-CALIPSO-MODIS retrievals of the properties of ice clouds, J. Geophys. Res., 115, D00H29, doi:10.1029/2009JD012346.
              10. Delanoë, J., R. J. Hogan, R. M. Forbes, A. Bodas-Salced, and T. H. M Stein (2011), Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and CALIPSO data, Q. J. R. Meteorol. Soc., Not published yet, doi:10.1002/qj.882.
              11. Eriksson, P., B. Rydberg, M. Johnston, D. P. Murtagh, H. Struthers, S. Ferrachat, and U. Lohmann (2010), Diurnal variations of humidity and ice water content in the tropical upper troposphere, Atmos. Chem. Phys., 23, 11519–11533, doi:10.5194/acp-10-11519-2010.
              12. Evans, K. F., J. R. Wang, D. O'C Starr, G. Heymsfield, L. Li, L. Tian, R. P. Lawson, A. J. Heymsfield, and A. Bansemer (2012), Ice hydrometeor profile retrieval algorithm for high-frequency microwave radiometers: application to the CoSSIR instrument during TC4, Atmos. Meas. Tech., 5(9), 2277–2306, doi:10.5194/amt-5-2277-2012.
              13. Frey, W., S. Borrmann, D. Kunkel, R. Weigel, M. de Reus, H. Schlager, A. Roiger, C. Voigt, P. Hoor, J. Curtius, M. Krämer, C. Schiller, C. M. Volk, C. D. Homan, F. Fierli, G. Di Donfrancesco, A. Ulanovsky, F. Ravegnani, N. M. Sitnikov, S. Viciani, F. D'Amato, G. N. Shur, G. V. Belyaev, K. S. Law, and F. Cairo (2011), In-situ measurements of tropical cloud properties in the West African monsoon: upper tropospheric ice clouds, mesoscale convective system outflow, and subvisual cirrus, Atmos. Chem. Phys., 11, 5569–5590, doi:10.5194/acp-11-5569-2011.
              14. Heymsfield, A. J., Z. Wang, and S. Matrosov (2005), Improved Radar Ice Water Content Retrieval Algorithms Using Coincident Microphysical and Radar Measurements, J. Appl. Meteorol., 44, 1391–1412, doi:10.1175/JAM2282.1.
              15. Heymsfield, A. J., A. Protat, R. Austin, D. Bouniol, R. Hogan, J. Delanoë, H. Okamoto, K. Sato, G.-J. van Zadelhoff, D. Donovan, and Z. Wang (2008), Testing IWC Retrieval Methods Using Radar and Ancillary Measurements with In Situ Data, J. Appl. Meteorol. Clim., 47(1), 135–163, doi:10.1175/2007JAMC1606.1.
              16. Heymsfield, A. J., D. Winker, M. Avery, M. Vaughan, G. Diskin, M. Deng, V. Mitev, and R. Matthey (2013), Relationships between Ice Water Content and Volume Extinction Coefficient from In Situ Observations for Temperatures from 0 ° to -86 °C: Implications for Spaceborne Lidar Retrievals, J. Appl. Meteorol. Clim., 53(2), 479–505, doi:10.1175/JAMC-D-13-087.1.
              17. Hong, G. (2007), Radar backscattering properties of nonspherical ice crystals at 94 GHz, Geophys. Res. Lett., 112, D22203, doi:10.1029/2007JD008839.
              18. Lawson, R. P. and B. A. Baker (2006), Improvement in determination of ice water content from two-dimensional particle imagery. Part II: Applications to collected data, J. Appl. Meteorol. Clim., 45("9"), 1291–1303.
              19. Mitchell, D. L., R. P. Lawson, and B. Baker (2011), Understanding effective diameter and its application to terrestrial radiation in ice clouds, Atmos. Chem. Phys., 11, doi:10.5194/acp-11-3417-2011.
              20. Moores, J. E., L. Komguem, J. A. Whiteway, M. T. Lemmon, C. Dickinson, and F. Daerden (2011), Observations of near-surface fog at the Phoenix Mars landing site, Geophys. Res. Lett., 38, L04203, doi:10.1029/2010GL046315.
              21. Okamoto, H., K. Sato, and Y. Hagihara (2010), Global analysis of ice microphysics from CloudSat and CALIPSO: Incorporation of specular reflection in lidar signals, J. Geophys. Res., 115, D22209, doi:10.1029/2009JD013383.
              22. Reitter, S., K. Fröhlich, A. Seifert, S. Crewell, and M. Mech (2011), Evaluation of ice and snow content in the global numerical weather prediction model GME with CloudSat, Geosci. Model Dev., 4(3), 579–589, doi:10.5194/gmd-4-579-2011.
              23. Stein, T. H. M., J. Delanoë, and R. J. Hogan (2011), A Comparison among Four Different Retrieval Methods for Ice-Cloud Properties Using Data from CloudSat, CALIPSO, and MODIS, J. Appl. Meteorol. Clim., 50, 1952–1969, doi:10.1175/2011JAMC2646.1.
              24. Sun, W., Y. Hu, B. Lin, Z. Liu, and G. Videen (2011), The impact of ice cloud particle microphysics on the uncertainty of ice water content retrievals, J. Quant. Spectrosc. Radiat. Transfer, 112(2), 189–196, doi:10.1016/j.jqsrt.2010.04.003.
              25. 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 measurements, J. Geophys. Res., 113, D15S10, doi:10.1029/2007JD008931.