| a-train | abs lookup | absorption | aerosols | aggregation | airs | albedo | algorithm | amsu | annual cycle | anomalies | aqua | ar4 | ar5 | arctic | arm | arts | arts-dev | asr | assimilation | astrophysics | atmosphere | atmospheric composition | atmospheric dynamics | atmospheric profiles | atsr-2 | avhrr | backscattering | basics | bayes | book | calculation | calculations | calibration | calipso | ccn | cdr | ceres | cfmip | chemistry | cia | ciraclim | cirrus | cirrus anvil sublimation | cirrus cloud | cirrus clouds | cirrusstudy | ciwsir/cloudice | claus | climate | climate change | climate dynamics | climate feedbacks | climate sensitivity | climate sensivity | climate variability | climatology | cloud feedback | cloud forcing | cloud fraction | cloud ice | cloud properties | cloud radiative effects | cloud radiative forcing | cloud regimes | clouds | cloudsat | cmip3 | cmip5 | cmip6 | cmsaf | co2 | collocation | comparison | computer science | continua | contrail | convection | convective clouds | convective processes | convective self-aggregation | correlated k | cosmic background | cosmic rays | cosp | cross-calibration | cth | cumulus | dardar | data bases | dda | deep convection | delta m | dimer | disort | diurnal cycle | dmsp | documentation | droplet size | dynamics | earth | earthcare | echam | ecmwf | effective radius | electromagnetism | electron content | elevation | elevation satellite-2 | emd | 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 | gcm | genesis | geostationary | gerrit_erca | global warming | gnss | goes | gps | gras | graupel | greenhouse effect | groundbased | hadley circulation | hail | heating rate | heating rates | herschel | hiatus | hirs | history | hsb | humidity | hydrological sensitivity | hydrological sensivity | iasi | ice | ice clouds | ice crystal growth | ice nucleation | ice water | icesat-2 | ici | icon | icz | in situ | infrared | instruments | intercalibration | intercomparison | interference | inverse modelling | ipcc | ir/vis | iris | isccp | ismar | isotopes | itcz | iwc | iwp | iwv | jupiter | kessler scheme | lblrtm | 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 | masters thesis | math | megha-tropiques | mendrok | mesoscale organization | meteorology | meteosat | metop | mhs | microphysics | microwave | mipas | mirs | misr | mixed phase | mls | model | modeling | models | modis | monte carlo | 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 | orbits | ozone | pacific ocean | particle orientation | particle shape | particle size | particle size distribution | patmos-x | phase function | phd thesis | 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 | radiometers | radiosonde | radiosonde cloud liquid | radiosonde correction | rain | reanalysis | refractive index | relative humidity | remote sensing | retrieval | 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 | ssm/i | ssm/t | ssmis | ssmt2 | stability | statistics | ste | stereo | stratosphere | submillimeter | submm | sun | supersaturation | surface | synergies | task2 | tempera | temperature | terra | thermodynamics | time series | titan | 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 | utls | validation | vater vapor | venus | visualization | volcanic ash | 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:cosp

There is currently a filter applied. To see the complete list of publications, clear the filter.
  1. 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 modelGeophys. Res. Lett., 35, L15704, doi:10.1029/2008GL034207.
  2. Eyre, J. R. (1987), On systematic errors in satellite sounding products and theirclimatological mean valuesQ. J. R. Meteorol. Soc., 113, 279–292, doi:10.1002/qj.49711347516.
  3. Klein, S. A. and C. Jakob (1999), Validation and Sensitivities of Frontal Clouds Simulated by the ECMWF ModelMon. Weather Rev., 127, 2514–2531, doi:10.1175/1520-0493(1999)127<2514:VASOFC>2.0.CO;2.
  4. Marchand, R. and T. Ackerman (2010), An analysis of cloud cover in multiscale modeling framework global climate model simulations using 4 and 1 km horizontal gridsJ. Geophys. Res., 115, D16207, doi:10.1029/2009JD013423.
  5. Marchand, R., T. Ackerman, M. Smyth, and W. B. Rossow (2010), A review of cloud top height and optical depth histograms from MISR, ISCCP, and MODISJ. Geophys. Res., 115, D16206, doi:10.1029/2009JD013422.
  6. Webb, M., C. Senior, S. Bony, and J.-J. Morcrette (2001), Combining ERBE and ISCCP data to assess clouds in the Hadley Centre, ECMWF and LMD atmospheric climate modelsClimate Dynamics, 17, 902–922, doi:10.1007/s003820100157.
  7. Zhang, M. H., W. Y. Lin, S. A. Klein, J. T. Bacmeister, S. Bony, R. T. Cederwall, A. D. Del Genio, J. J. Hack, N. G. Loeb, U. Lohmann, P. Minnis, I. Musat, R. Pincus, P. Stier, M. J. Suarez, M. J. Webb, J. B. Wu, S. C. Xie, M.-S. Yao, and J. H. Zhang (2005), Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurementsJ. Geophys. Res., 110, D15S02, doi:10.1029/2004JD005021.