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 |

Hide tag cloud

Filter by author:
Filter by year:
Filter by bibtex key:
Filter by type:
Filter by keyword:
and
and
 

Filtered by keyword:calipso

There is currently a filter applied. To see the complete list of publications, clear the filter.

Group references

In the Pipeline

    Articles

      2012 Back to top

    1. Johnston, M. S., P. Eriksson, S. Eliasson, C. Jones, R. Forbes, and D. P. Murtagh (2012), The representation of tropical upper tropospheric water in EC Earth V2, Climate Dynamics, 39(11), 2713–2731, doi:10.1007/s00382-012-1511-0.

    Books and Book Contributions

      Theses

        Technical Reports and Proposals

          Articles in Conference Proceedings and Newsletters

            Internal Reports

              External references

              1. 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.
              2. Chepfer, H., S. Bony, D. Winker, M. Chiriaco, J.-L. Dufresne, and G. Sèze (2008), Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model, Geophys. Res. Lett., 35, L15704, doi:10.1029/2008GL034207.
              3. Delanoë, J. and R. J. Hogan (2008), A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer, J. Geophys. Res., 113, D07204, doi:10.1029/2007JD009000.
              4. 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.
              5. 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.
              6. Haladay, T. and G. Stephens (2009), Characteristics of tropical thin cirrus clouds deduced from joint CloudSat and CALIPSO observations, J. Geophys. Res., 114, 1–13, doi:10.1029/2008JD010675.
              7. Hashino, T., M. Satoh, Y. Hagihara, T. Kubota, T. Matsui, T. Nasuno, and H. Okamoto (2012), Evaluation of cloud distribution and bulk microphysics simulated by a global cloud-resolving model with combined use of CloudSat and CALIPSO measurements, J. Geophys. Res., to be submitted.
              8. Haynes, J. M., T. H. Vonder Haar, T. L'Ecuyer, and D. Henderson (2013), Radiative heating characteristics of Earth's cloudy atmosphere from vertically resolved active sensors, Geophys. Res. Lett., 40, doi:10.1002/GRL.50145.
              9. Heymsfield, A. J., D. Winker, and G.-J. van Zadelhoff (2005), Extinction-ice water content-effective radius algorithms for CALIPSO, Geophys. Res. Lett., 32, doi:10.1029/2005GL022742.
              10. 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.
              11. Holz, R. E., S. A. Ackerman, F. W. Nagle, R. Frey, S. Dutcher, R. E. Kuehn, M. A. Vaughan, and B. Baum (2008), Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP, J. Geophys. Res., 113, D00A19, doi:10.1029/2008JD009837.
              12. Kahn, B. H., M. T. Chahine, G. L. Stephens, G. G. Mace, R. T. Marchand, Z. Wang, C. D. Barnet, A. Eldering, R. E. Holz, R. E. Kuehn, and D. G. Vane (2008), Cloud type comparisons of AIRS, CloudSat, and CALIPSO cloud height and amount, Atmos. Chem. Phys., 8, 1231–1248, doi:10.5194/acp-8-1231-2008.
              13. Kato, S., F. G. Rose, S. Sun-Mack, W. F. Miller, Y. Chen, D. A. Rutan, G. L. Stephens, N. G. Loeb, P. Minnis, B. A. Wielicki, D. M. Winkler, T. P. Charlock, P. W. Stackhouse Jr., K.-M. Xu, and W. D. Collins (2011), Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS- derived cloud and aerosol properties, J. Geophys. Res., 116(D19), D19209, doi:10.1029/2011JD016050.
              14. L'Ecuyer, T. S. and J. H. Jiang (2010), Touring the atmosphere aboard the A-Train, Phys. Today, 63(7), 36–41.
              15. Mace, G. G., Q. Zhang, M. Vaughan, R. Marchand, G. Stephens, C. Trepte, and D. Winker (2009), A description of hydrometeor layer occurrence statistics derived from the first year of merged CloudSat and CALIPSO data, J. Geophys. Res., 114, 1–17, doi:10.1029/2007JD009755.
              16. Mace, G. G. (2009), Cloud properties and radiative forcing over the maritime storm tracks of the Southern Ocean and North Atlantic derived from A-Train, J. Geophys. Res., 115, D10201, doi:10.1029/2009JD012517.
              17. 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.
              18. Pitts, M. C., L. R. Poole, and L. W. Thomason (2009), CALIPSO polar stratospheric cloud observations: second-generation detection algorithm and composition discrimination, Atmos. Chem. Phys., 9, 7577–7589, doi:10.5194/acp-9-7577-2009.
              19. Redemann, J., M. A. Vaughan, Q. Zhang, Y. Shinozuka, P. B. Russell, J. M. Livingston, M. Kacenelenbogen, and L. A. Remer (2012), The comparison of MODIS-Aqua (C5) and CALIOP (V2 & V3) aerosol optical depth, Atmos. Chem. Phys., 12, 3025–3043, doi:10.5194/acp-12-3025-2012.
              20. Sassen, K., Z. Wang, and D. Liu (2008), Global distribution of cirrus clouds from CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements, J. Geophys. Res., 113, 1–12, doi:10.1029/2008JD009972.
              21. 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.
              22. Stubenrauch, C. J., S. Cros, A. Guignard, and N. Lamquin (2010), A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat, Atmos. Chem. Phys., 10, 7197–7214, doi:10.5194/acp-10-7197-2010.
              23. Wang, P. K., K.-Y. Cheng, M. Setvak, and C.-K. Wang (2016), The origin of the gullwing-shaped cirrus above an Argentinian thunderstorm as seen in CALIPSO images, J. Geophys. Res., 121(7), 3729–3738, doi:10.1002/2015JD024111.
              24. Ward, A., C. Griner, D. Vane, C. Trepte, A. Buis, C. Rink, and K. Lorentz (2005), CloudSat and CALIPSO: Unveiling the Mysteries of Clouds and Aerosols, The Earth Observer, 17(5), 9–13.
              25. Winker, D. M., J. R. Pelon, and M. P. McCormick (2003), The CALIPSO mission: spaceborne lidar for observation of aerosols and clouds, In: Lidar Remote Sensing for Industry and Environment Monitoring III, pp. 1–11, Edited by U. N. Singh, T. Itabe, Z. Liu, doi:10.1117/12.466539.
              26. Winker, D. M., M. A. Vaughan, A. Omar, Y. Hu, K. A. Powell, Z. Liu, W. H. Hunt, and S. A. Young (2009), Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms, J. Atmos. Oceanic Technol., 26, 2310–2323, doi:10.1175/2009JTECHA1281.1.