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

      2015 Back to top

    1. 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.

    Books and Book Contributions

      Theses

        Technical Reports and Proposals

          Articles in Conference Proceedings and Newsletters

            Internal Reports

              External references

              1. Barthazy, E., S. Göke, R. Schefold, and D. Högl (2004), An optical array instrument for shape and fall velocity measurements of hydrometeors, J. Atmos. Oceanic Technol., 21(9), 1400–1416, doi:10.1175/1520-0426(2004)021<1400:AOAIFS>2.0.CO;2.
              2. Battaglia, A., E. Rustemeier, A. Tokay, U. Blahak, and C. Simmer (2010), PARSIVEL Snow Observations: A Critical Assessment, J. Atmos. Oceanic Technol., 27(2), 333–344, doi:10.1175/2009JTECHA1332.1.
              3. Field, P. R., A. J. Heymsfield, and A. Bansemer (2007), Snow Size Distribution Parameterization for Midlatitude and Tropical Ice Clouds, J. Atmos. Sci., 64, 4346–4365, doi:10.1175/2007JAS2344.1.
              4. Geer, A. J. and F. Baordo (2014), Improved scattering radiative transfer for frozen hydrometeors at microwave frequencies, Atmos. Meas. Tech., 7, 1839–1860, doi:10.5194/amt-7-1839-2014.
              5. Gunn, K. L. S. and J. S. Marshall (1958), The distribution with size of aggregate snowflakes, J. Meteorol., 15, 452–461, doi:10.1175/1520-0469(1958)015<0452:TDWSOA>2.0.CO;2.
              6. Harlow, R. C. (2007), Airborne Retrievals of Snow Microwave Emissivity at AMSU Frequencies Using ARTS/SCEM-UA, J. Appl. Meteorol. Clim., 46, 23–35, doi:10.1175/JAM2440.1.
              7. Heymsfield, A. J. and C. D. Westbrook (2010), Advances in the Estimation of Ice Particle Fall Speeds Using Laboratory and Field Measurements, J. Atmos. Sci., 67, 2469–2482, doi:10.1175/2010JAS3379.1.
              8. Kidd, C. and V. Levizzani (2011), Status of satellite precipitation retrievals, Hydrol. Earth Syst. Sci., 15(4), 1109–1116, doi:10.5194/hess-15-1109-2011.
              9. Kim, M.-J. (2006), Single scattering parameters of randomly oriented snow particles at microwave frequencies, J. Geophys. Res., 111, D1420, doi:10.1029/2005JD006892.
              10. Kim, M.-J., M. S. Kulie, C. O'Dell, and R. Bennartz (2007), Scattering of Ice Particles at Microwave Frequencies: A Physically Based Parameterization, J. Appl. Meteorol. Clim., 46(5), 615–633, doi:10.1175/JAM2483.1.
              11. Kneifel, Stefan, U. Löhnert, A. Battaglia, S. Crewell, and D. Siebler (2010), Snow scattering signals in ground-based passive microwave radiometer measurements, J. Geophys. Res., 115, D16214, doi:10.1029/2010JD013856.
              12. Libbrecht, K. G. (2003), Growth rates of the principal facets of ice between −10°C and −40°C, J. Cryst. Growth, 247(3), 530–540, doi:10.1016/S0022-0248(02)01996-6.
              13. Libbrecht, K. G. (2005), The physics of snow crystals, Rep. Prog. Phys., 68(4), 855–895, doi:10.1088/0034-4885/68/4/R03.
              14. Meneghini, R. and L. Liao (2000), Effective Dielectric Constants of Mixed-Phase Hydrometeors, J. Atmos. Oceanic Technol., 17(5), 628–640, doi:10.1175/1520-0426(2000)017<0628:EDCOMP>2.0.CO;2.
              15. Meneghini, R. and L. Liao (1996), Comparisons of Cross Sections for Melting Hydrometeors as Derived from Dielectric Mixing Formulas and a Numerical Method, J. Appl. Meteorol., 35, 1658–1670, doi:10.1175/1520-0450(1996)035<1658:COCSFM>2.0.CO;2.
              16. Mitchell, D. L. (1996), Use of Mass- and Area Dimensional Power Laws for Determining Precipitation Particle Terminal Velocities, J. Atmos. Sci., 53(12), 1710–1723.
              17. Nakaya, U. (1954), Snow Crystals: Natural and Artificial, Harvard University Press, ASIN B0007DNW78.
              18. Newman, A. J., P. A. Kucera, and L. F. Bliven (2009), Presenting the Snowflake Video Imager (SVI), J. Atmos. Oceanic Technol., 26(2), 167–179, doi:10.1175/2008JTECHA1148.1.
              19. Petty, G. W. and W. Huang (2010), Microwave Backscatter and Extinction by Soft Ice Spheres and Complex Snow Aggregates, J. Atmos. Sci., 67, 769–787, doi:10.1175/2009JAS3146.1.
              20. 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.
              21. Surussavadee, C. and D. H. Staelin (2009), Satellite Retrievals of Arctic and Equatorial Rain and Snowfall Rates Using Millimeter Wavelengths, IEEE T. Geosci. Remote, 47, 3697–3707, doi:10.1109/TGRS.2009.2029093.
              22. Szyrmer, W. and I. Zawadzki (2010), Snow Studies. Part II: Average Relationship between Mass of Snowflakes and Their Terminal Fall Velocity, J. Atmos. Sci., 67, 3319–3335, doi:10.1175/2010JAS3390.1.
              23. Tomita, H. (2008), New Microphysical Schemes with Five and Six Categories by Diagnostic Generation of Cloud Ice, J. Meteorol. Soc. Jpn., 86A, 121–142, doi:10.2151/jmsj.86A.121.
              24. Tyynelä, J., J. Leinonen, D. Moisseev, and T. Nousiainen (2011), Radar Backscattering from Snowflakes: Comparison of Fractal, Aggregate, and Soft Spheroid Models, J. Atmos. Oceanic Technol., 28, 1365–1372, doi:10.1175/JTECH-D-11-00004.1.
              25. Wood, N. B., T. S. L'Ecuyer, A. J. Heymsfield, and G. L. Stephens (2015), Microphysical Constraints on Millimeter-Wavelength Scattering Properties of Snow Particles, J. Appl. Meteorol. Clim., 54, 909–931, doi:10.1175/JAMC-D-14-0137.1.