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

      2014 Back to top

    1. Holl, G., S. Eliasson, J. Mendrok, and S. A. Buehler (2014), SPARE-ICE: synergistic Ice Water Path from passive operational sensors, J. Geophys. Res., 119(3), 1504–1523, doi:10.1002/2013JD020759.

    Books and Book Contributions

      Theses

        Technical Reports and Proposals

          Articles in Conference Proceedings and Newsletters

            Internal Reports

              External references

              1. Atlas, D., S. Y. Matrosov, A. J. Heymsfield, M.-D. Chou, and D. B. Wolff (1995), Radar and Radiation Properties of Ice Clouds, J. Appl. Meteorol., 34, 2329–2345.
              2. Bezy, J.-L., W. Leibrandt, A. Heliere, P. Silvestrin, C.-C. Lin, P. Ingmann, T. Kimura, and H. Kumagai (2005), The ESA Earth Explorer EarthCARE mission, Proc. of SPIE, 5882, 58820F, doi:10.1117/12.619438.
              3. Comstock, J. M., R. D. Entremont, D. DeSlover, G. G. Mace, S. Y. Matrosov, S. A. McFarlane, P. Minnins, D. Mitchell, K. Sassen, M. D. Shupe, D. D. Turner, and Z. Wang (2007), An Intercomparison of Microphysical Retrieval Algorithms for Upper-Tropospheric Ice Clouds, Bull. Amer. Met. Soc., 191–204, doi:10.1175/BAMS-88-2-191.
              4. Cumming, I. G. and F. H. Wong (2005), Digital Processing of Synthetic Aperture Radar Data, Artech House, ISBN 978-1-58053-058-3.
              5. Deng, M., G. G. Mace, Z. Wang, and H. Okamoto (2010), Tropical Composition, Cloud and Climate Coupling Experiment validation for cirrus cloud profiling retrieval using CloudSat radar and CALIPSO lidar, J. Geophys. Res., 115, D00J15, doi:10.1029/2009JD013104.
              6. 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 Campaign, J. Appl. Meteorol. Clim., 52(4), 1014–1030, doi:10.1175/JAMC-D-12-054.1.
              7. Grecu, M., W. S. Olson, S. J. Munchak, S. Ringerud, L. Liao, Z. Haddad, B. L. Kelley, and S. F. McLaughlin (2016), The GPM Combined Algorithm, J. Atmos. Oceanic Technol., 33(10), 2225–2245, doi:10.1175/JTECH-D-16-0019.1.
              8. Hamada, A., N. Nishi, S. Iwasaki, Y. Ohno, H. Kumagai, and H. Okamoto (2008), Cloud Type and Top Height Estimation for Tropical Upper-Tropospheric Clouds Using GMS-5 Split-Window Measurements Combined with Cloud Radar Measurements, Sci. Onl. Let. Atm., 4, 57–60, doi:10.2151/sola.2008-015.
              9. Haynes, John M., Tristan S. L'Ecuyer, Graeme L. Stephens, Steven D. Miller, Cristian Mitrescu, Norman B. Wood, and Simone Tanelli (2009), Rainfall retrieval over the ocean with spaceborne W-band radar, J. Geophys. Res., 114, D00A22, doi:10.1029/2008JD009973.
              10. 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.
              11. Hong, G. (2007), Radar backscattering properties of nonspherical ice crystals at 94 GHz, Geophys. Res. Lett., 112, D22203, doi:10.1029/2007JD008839.
              12. Iguchi, T., T. Kozu, R. Meneghini, J. Awaka, and K. Okamoto (2000), Rain-Profiling Algorithm for the TRMM Precipitation Radar, J. Appl. Meteorol., 39(12), 2038–2052, doi:10.1175/1520-0450(2001)040<2038:RPAFTT>2.0.CO;2.
              13. L'Ecuyer, T. S. and J. H. Jiang (2010), Touring the atmosphere aboard the A-Train, Phys. Today, 63(7), 36–41.
              14. Li, L., G. M. Heymsfield, L. Tian, and P. E. Racette (2005), Measurements of Ocean Surface Backscattering Using an Airborne 94-GHz Cloud Radar—Implication for Calibration of Airborne and Spaceborne W-Band Radars, J. Atmos. Oceanic Technol., 22, 1033–1045, doi:10.1175/JTECH1722.1.
              15. Marzano, F. S., M. Lamantea, M. Montopoli, S. Di Fabio, and E. Picciotti (2011), The Eyjafjöll explosive volcanic eruption from a microwave weather radar perspective, Atmos. Chem. Phys. Discuss., 12367–12409, doi:10.5194/acpd-11-12367-2011.
              16. Masunaga, H. and C. D. Kummerow (2005), Combined Radar and Radiometer Analysis of Precipitation Profiles for a Parametric Retrieval Algorithm, J. Atmos. Oceanic Technol., 22, 909–929, doi:10.1175/JTECH1751.1.
              17. Molthan, A. L. and W. A. Petersen (2011), Incorporating Ice Crystal Scattering Databases in the Simulation of Millimeter-Wavelength Radar Reflectivity, J. Atmos. Oceanic Technol., 28, 337–351, doi:10.1175/2010JTECHA1511.1.
              18. Munchak, S. J. and C. D. Kummerow (2011), A Modular Optimal Estimation Method for Combined Radar-Radiometer Precipitation Profiling, J. Appl. Meteorol. Clim., 50(2), 433–448, doi:10.1175/2010JAMC2535.1.
              19. 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.
              20. Oliver, C. and S. Quegan (2004), Understanding Synthetic Aperture Radar Images, SciTech Publishing, Inc., ISBN 1-891121-31-6.
              21. Stimson, G. W. (1998), Introduction to Airborne Radar, SciTech Publishing, Inc., ISBN 1-891121-01-4.
              22. 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.
              23. Tanelli, S., S. L. Durden, E. Im, K. S. Pak, D. G. Reinke, P. Partain, J. M. Haynes, and R. T. Marchand (2008), CloudSat's Cloud Profiling Radar after Two Years in Orbit: Performance, Calibration, and Processing, IEEE T. Geosci. Remote, 46(11), 3560–3573.
              24. Thies, B. and J. Bendix (2011), Satellite based remote sensing of weather and climate: recent achievements and future perspectives, Met. Appl., 18, 262–295, doi:10.1002/met.288.