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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                External references

                1. Aires, F., F. Bernardo, H. Brogniez, and C. Prigent (2010), An Innovative Calibration Method for the Inversion of Satellite Observations, J. Appl. Meteorol. Clim., 49(12), 2458–2473, doi:10.1175/2010JAMC2435.1.
                2. 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.
                3. Bretherton, C. S. and M. F. Khairoutdinov (2015), Convective self-aggregation feedbacks in near-global cloud-resolving simulations of an aquaplanet, J. Adv. Model. Earth Syst., 7(4), 1942–2466, doi:10.1002/2015MS000499.
                4. Clough, S. A., M. W. Shephard, E. J. Mlawer, J. S. Delamere, M. Iacono, K. Cady-Pereira, S. Boukabara, and P. D. Brown (2005), Atmospheric radiative transfer modeling: a summary of the AER codes, J. Quant. Spectrosc. Radiat. Transfer, 91(2), 233–244, doi:10.1016/j.jqsrt.2004.05.058.
                5. Comstock, J. M., R. F. Lin, D. O. Starr, and P. Yang (2008), Understanding ice supersaturation, particle growth, and number concentration in cirrus clouds, J. Geophys. Res., 113, D23211, doi:10.1029/2008JD010332.
                6. Dai, A. and K. E. Trenberth (2004), The Diurnal Cycle and Its Depiction in the Community Climate System Model, J. Climate, 17, 930–951.
                7. Emde, C., R. Buras, and B. Mayer (2011), ALIS: An efficient method to compute high spectral resolution polarized solar radiances using the Monte Carlo approach, J. Quant. Spectrosc. Radiat. Transfer, 112(10), 1622–1631, doi:10.1016/j.jqsrt.2011.03.018.
                8. Evans, K. F. (1998), The Spherical Harmonics Discrete Ordinate Method for Three-Dimensional Atmospheric Radiative Transfer, J. Atmos. Sci., 55, 429–446.
                9. Farrell, P. E., M. D. Piggott, G. J. Gorman, D. A. Ham, C. R. Wilson, and T. M. Bond (2011), Automated continuous verification for numerical simulation, Geosci. Model Dev., 4(2), 435–449, doi:10.5194/gmd-4-435-2011.
                10. Koch, D., Y. Balkanski, S. E. Bauer, R. C. Easter, S. Ferrachat, S. J. Ghan, C. Hoose, T. Iversen, A. Kirkevåg, J. E. Kristjansson, X. Liu, U. Lohmann, S. Menon, J. Quaas, M. Schulz, Ø. Seland, T. Takemura, and N. Yan (2011), Soot microphysical effects on liquid clouds, a multi-model investigation, Atmos. Chem. Phys., 11, 1051–1064, doi:10.5194/acp-11-1051-2011.
                11. Lal, M. (2001), A model study of the atmospheric heating rates due to O3, H2O and O2, Indian J. of Radio & Space Physics, 30, 254–259.
                12. Lucas, C., B. Timbal, and H. Nguyen (2013), The expanding tropics: a critical assessment of the observational and modeling studies, Wiley Interd. Rev.: Climate Change, 5(1), 89–112, doi:10.1002/wcc.251.
                13. Lynch, P. (2008), The origins of computer weather prediction and climate modeling, J. of Comp. Phys., 227, 3431–3444, doi:10.1016/j.jcp.2007.02.034.
                14. McGregor, S., A. Timmermann, M. F. Stuecker, M. H. England, M. Merrifield, F. J. Jin, and Y. Chikamoto (2014), Recent Walker circulation strengthening and Pacific cooling amplified by Atlantic warming, Nature Clim. Change, 4(10), 888–892, doi:10.1038/NCLIMATE2330.
                15. Milbrandt, J. A. and M. K. Yau (2005), A multimoment bulk microphysics parameterization. Part II: A proposed three-moment closure and scheme description, J. Atmos. Sci., 62, 3065–3081, doi:10.1175/JAS3535.1.
                16. Milbrandt, J. A. and R. Mctaggart (2010), Sedimentation-Induced Errors in Bulk Microphysics Schemes, J. Atmos. Sci., 67, 3931–3948, doi:10.1175/2010JAS3541.1.
                17. Mishra, S. C., H. K. Roy, and N. Misra (2006), Discrete ordinate method with a new and a simple quadrature scheme, J. Quant. Spectrosc. Radiat. Transfer, 101, 249–262, doi:10.1016/j.jqsrt.2005.11.018.
                18. Schpok, J., J. Simons, D. S. Ebert, and C. Hansen (2003), A Real-Time Cloud Modeling, Rendering, and Animation System, In: Eurographics/SIGGRAPH Symposium on Computer Animation, Edited by Breen, D. and M. Lin, Presentation at the 14th International Conference on Atmospheric Aerosols, Helsinki, Finland, 26–30 August 1996.
                19. Sherwood, S. C., R. Roca, T. M. Weckwerth, and N. G. Andronova (2010), Tropospheric water vapor, convection, and climate, Rev. Geophys., 48(2), RG2001, doi:10.1029/2009RG000301.
                20. Soden, B. J. and I. M. Held (2006), An assessment of climate feedbacks in coupled ocean-atmosphere models, J. Climate, 19(14), 3354–3360, doi:10.1175/JCLI3799.1.
                21. Stamnes, K., S.-C. Tsay, W. Wiscombe, and K. Jayaweera (1988), Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media, Appl. Opt., 27(12), 2502–2509, doi:10.1364/AO.27.002502.
                22. Tobin, I., S. Bony, C. E. Holloway, J.-Y. Grandpeix, G. Sèze, D. Coppin, S. J. Woolnough, and R. Roca (2013), Does convective aggregation need to be represented in cumulus parameterizations?, J. Adv. Model. Earth Syst., 5(4), 692–703, doi:10.1002/jame.20047.
                23. Wu, J., A. D. Del Genio, M.-S. Yao, and A. B. Wolf (2009), WRF and GISS SCM simulations of convective updraft properties during TWP-ICE, J. Geophys. Res., 114, D04206, doi:10.1029/2008JD010851.