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 | absorption cross-sections | accuracy | active | aerosol | aerosols | age of air | aggregation | airs | albedo | algorithm | amsos | amsu | annual cycle | anomalies | app: all-sky remote sensing | app: clear-sky remote sensing | app: other remote sensing | app: planets | app: radiation and climate | app: solar | app: spectroscopy | aqua | ar4 | ar5 | arctic | arm | arts | arts-dev | arts_2018_2023 | asr | assimilation | astronomy | astrophysics | asymmetry | atmosphere | atmospheric composition | atmospheric dynamics | atmospheric modeling | atmospheric profiles | atsr-2 | avhrr | bachelor thesis | backscattering | basics | bayes | bias | biomass | book | by: external | by: internal | 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 | collision-induced absorption | collocation | collocations | comparison | complex probability function | 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 | faddeyeva function | fall speed | far-infrared | faraday-voigt | fcdr | feedback | feedbacks | fingerprinting | flux uav | forcing | forest fire | fox19_airborne_amt.pdf | friend | fun | function evaluation | 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 | hitran | 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 | line-shape | 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 | matlab | 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 | molecular opacities | molecular spectroscopy | 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 | spectral integration | spectroscopic database | spectroscopic line parameters | spectroscopy | speed-dependent profiles | 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 | what: mention | what: unknown | what: use | wind | zeeman |

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Group references

In the Pipeline

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                External references

                1. Anderson, G. P., F. X. Keizys, J. H. Chetwynd, J. Wang, M. L. Hoke, L. S. Rothman, L. M. Kimball, R. A. McClatchey, E. P. Shettle, S. A. Clough, W. O. Gallery, L. W. Abreu, and J. E. A. Selby (1995), FASCODE/MODTRAN/LOWTRAN: Past/Present/Future, , 18th Annual Review Conference on Atmospheric Transmission Models.
                2. Baran, A. J. (2009), A review of the light scattering properties of cirrusJ. Quant. Spectrosc. Radiat. Transfer, 110, 1239–1260, doi:10.1016/j.jqsrt.2009.02.026.
                3. Evans, K. F. and G. L. Stephens (2010), Many polarized radiative transfer modelsJ. Quant. Spectrosc. Radiat. Transfer, 111, 1686–1688, doi:10.1016/j.jqsrt.2010.01.029.
                4. Golding, B. W. and N. C. Atkinson (2002), Study of Future Microwave Sounders on Geostationary and Medium Earth Orbits. Task 1 Report: Review of Preliminary List of Products and Corresponding Requirements, ESA study STN/PR72/002, MGO-MET-RP-001.
                5. Grant, W. B. (1990), Water vapor absorption coefficients in the 8–13 μm spectral region: a critical reviewAppl. Opt., 29(4), 451–463.
                6. Harshvardhan, R. C. E. Jr. (1995), Simple parameterizations of the radiative properties of cloud layers: a reviewAtmos. Res., 35, 113–125.
                7. Haywood, J. (2000), Estimate of the Direct and Indirect Radiative Forcing Due to Tropospheric Aerosols: A ReviewRev. Geophys., 38(4), 513–543.
                8. Husson, N., A. Chedin, and B. Bonne (1993), Review of existing spectral line data catalogs, In: High Spectral Resolution Infrared Remote Sensing for Earth's Weather and Climate Studies, pp. 443–457, Springer-Verlag.
                9. Kidd, C., V. Levizzani, and P. Bauer (2009), A review of satellite meteorology and climatology at the start of the twenty first centuryProg. Phys. Geog., 33(4), 474–489.
                10. Kidd, C. and V. Levizzani (2011), Status of satellite precipitation retrievalsHydrol. Earth Syst. Sci., 15(4), 1109–1116, doi:10.5194/hess-15-1109-2011.
                11. Lohmann, U. and J. Feichter (2005), Global indirect aerosol effects: A reviewAtmos. Chem. Phys., 5, 715–737, doi:10.5194/acp-5-715-2005.
                12. Mishchenko, M. I., L. D. Travis, and D. W. Mackowski (1996), T-Matrix Computation of Light Scattering by Nonspherical Particles: A ReviewJ. Quant. Spectrosc. Radiat. Transfer, 55(5), 535–575, doi:10.1016/0022-4073(96)00002-7.
                13. Moler, C. B. and C. F. Van Loan (2004), Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years LaterSIAM Review, 45(1), 3–49, doi:10.1137/S00361445024180.
                14. Murphy, D. M. and T. Koop (2005), Review of the vapour pressures of ice and supercooled water for atmospheric applicationsQ. J. R. Meteorol. Soc., 131(608), doi:10.1256/qj.04.94.
                15. Nicholas, K. A. and W. S. Gordon (2011), A quick guide to writing a solid peer reviewEos, 92(28), 233–240, doi:10.1029/2011EO280001.
                16. Orville, H. D. (1996), A Review of Cloud Modeling in Weather ModificationBull. Amer. Met. Soc., 77(7), 1535–1555.
                17. Petersson, J. and K. Holmstroem (1998), A Review of the Parameter Estimation Problem of Fitting Positive Exponential Sums to Empirical Data, Maelardalen University.
                18. Smith, W. L., W. P. Bishop, V. F. Dvorak, C. M. Hayden, J. H. McElroy, F. R. Mosher, V. J. Oliver, J. F. Purdom, and D. Q. Wark (1986), The Meteorological Satellite: Overview of 25 Years of OperationScience, 231(4737), 455–462.
                19. Stephens, G. L. (2005), Cloud feedbacks in the climate system: A critical reviewJ. Climate, 18(2), 237–273, doi:10.1175/JCLI-3243.1.
                20. Stephens, G. L. and C. D. Kummerow (2007), The Remote Sensing of Clouds and Precipitation from Space: A ReviewJ. Atmos. Sci., 64(11), 3742–3765, doi:10.1175/2006JAS2375.1.
                21. Thies, B. and J. Bendix (2011), Satellite based remote sensing of weather and climate: recent achievements and future perspectivesMet. Appl., 18, 262–295, doi:10.1002/met.288.
                22. Trenberth, K. E., J. T. Fasullo, and J. Kiehl (2009), Earth's Global Energy BudgetBull. Amer. Met. Soc., 90(3), 311–323, doi:10.1175/2008BAMS2634.1.
                23. Trenberth, Kevin E. and John T. Fasullo (2012), Tracking Earth's Energy: From El Niño to Global WarmingSur. Geophy., 34(3–4), 413–426, doi:10.1007/s10712-011-9150-2.
                24. Vali, G. (1996), Ice Nucleation — A Review, In: Nucleation and Atmospheric Aerosols 1996, pp. 271–279, Edited by Kulmala, M. and P. Wagner, Presentation at the 14th International Conference on Nucleation and Atmospheric Aerolsols, Helsinki, Finland, 26–30 August 1996.
                25. Warren, S. G. and C. J. Hahn (2002), Encyclopedia of Atmospheric Sciences, chap. Clouds | Climatology, pp. 476–483, Academic Press, doi:10.1016/B0-12-227090-8/00113-5.