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Below is the combined list of references from refs_sat.bib and refs_external.bib. It is intended for our group's internal use.

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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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                1. Allan, R. P., V. Ramaswamy, and A. Slingo (2002), Diagnostic analysis of atmospheric moisture and clear-sky radiative feedback in the Hadley Centre and Geophysical Fluid Dynamics Laboratory GFDL climate models, J. Geophys. Res., 107(D17), doi:10.1029/2001JD001131.
                2. Bony, S., J.-L. Dufresne, H. Le Treut, J.-J. Morcrette, and C. Senior (2004), On dynamic and thermodynamic components of cloud changes, Climate Dynamics, 22(2), 71–86, doi:10.1007/s00382-003-0369-6.
                3. Bony, S., et al. (2005), How Well do we Understand Climate Change Feedback Processes?, J. Climate.
                4. Bony, S., R. Colman, V. M. Kattsov, R. P. Allan, C. S. Bretherton, J.-L. Dufresne, A. Hall, S. Hallegatte, M. M. Holland, W. Ingram, D. A. Randall, B. J. Soden, G. Tselioudis, and M. J. Webb (2006), How Well Do We Understand and Evaluate Climate Change Feedback Processes?, J. Climate, 19, 3445–3482.
                5. Bony, S., B. Stevens, D. Coppin, T. Becker, K. A. Reed, A. Voigt, and B. Medeiros (2016), Thermodynamic control of anvil cloud amount, Proc. Nat. Aca. Sci., doi:10.1073/pnas.1601472113.
                6. Cess, R. D. (2005), Water Vapor Feedback in Climate Models, Science, 310, 795–796.
                7. Chou, C. and J. D. Neelin (1999), Cirrus Detrainment-Temperature Feedback, Geophys. Res. Lett., 26(9), 1295–1298.
                8. Colman, R. A. (2001), On the vertical extent of atmospheric feedbacks, Climate Dynamics, 17, 391–405.
                9. Colman, R. (2003), Seasonal contributions to climate feedbacks, Climate Dynamics, 80, 825–841, doi:10.1007/s00382-002-0301-5.
                10. Feldl, N. and S. Bordoni (2016), Characterizing the Hadley Circulation Response through Regional Climate Feedbacks, J. Climate, 29(2), 613-622, doi:10.1175/JCLI-D-15-0424.1.
                11. de F. Forster, P. M. and M. Collins (2003), Quantifying the water vapour feedback associated with post-Pinatubo global cooling, Climate Dynamics, 25(2), 207–214.
                12. Gettelman, A. and Q. Fu (2008), Observed and Simulated Upper-Tropospheric Water Vapor Feedback, J. Climate, 21, 3282–3289, doi:10.1175/2007JCLI2142.1.
                13. Hall, A. and S. Manabe (2000), Effect of water vapor feedback on internal and anthropogenic variations of the global hydrologic cycle, J. Geophys. Res., 105(D5), 6935–6944.
                14. Hall, A. and S. Manabe (2000), Suppression of ENSO in a coupled model without water vapor feedback, Climate Dynamics, 16, 393–403.
                15. Hall, A. and S. Manabe (1998), The Role of Water Vapor Feedback in Unperturbed Climate Variability and Global Warming, J. Climate, 12(8), 2327–2346.
                16. Held, I. M. and B. J. Soden (2000), Water Vapor Feedback and Global Warming, Annu. Rev. Energy Environ., 25, 441–475.
                17. Ingram, W. (2010), A very simple model for the water vapour feedback on climate change, Q. J. R. Meteorol. Soc., 136(646), 30–40, doi:10.1002/qj.546.
                18. Klein, S. A. and A. Hall (2015), Emergent Constraints for Cloud Feedbacks, Curr. Clim. Change Rep., 1(4), 267–287, doi:10.1007/s40641-015-0027-1.
                19. Lin, B., B. A. Wielicki, L. H. Chambers, Y. Hu, and K. Xu (2002), The iris hypothesis: a negative or positive cloud feedback?, J. Climate, 15, 3–7.
                20. Millan, M. M., et al. (2005), Climate Feedbacks and Desertification: The Mediterranean Model, J. Climate, 18, 684–701.
                21. Minschwaner, K. and A. E. Dessler (2004), Water Vapor Feedback in the Tropical Upper Troposphere: Model Results and Observations, J. Climate, 17, 1272–1282, doi:10.1175/1520-0442(2004)017<1272:WVFITT>2.0.CO;2.
                22. Noda, A. T., T. Seiki, M. Satoh, and Y. Yamada (2016), High cloud size dependency in the applicability of the fixed anvil temperature hypothesis using global nonhydrostatic simulations, Geophys. Res. Lett., 43(5), 2307–2314, doi:10.1002/2016GL067742.
                23. Ou, S.-C. and K.-N. Liou (1995), Ice microphysics and climate temperature feedback, Atmos. Res., 35, 127–138.
                24. Ou, S. C. and K. N. Liou (1995), Ice microphysics and climatic temperature feedback, Atmos. Res., 35, 127–138.
                25. Philipona, R., B. Duerr, A. Ohmura, and C. Ruckstuhl (2005), Anthropogenic greenhouse forcing and strong water vapor feedback increase temperature in Europe, Geophys. Res. Lett., 32, doi:10.1029/2006GL023624.
                26. Raval, A. and V. Ramanathan (1989), Observational determination of the greenhouse effect, Nature, 342, 758–761.
                27. Rieck, M., L. Nuijens, and B. Stevens (2012), Marine Boundary Layer Cloud Feedbacks in a Constant Relative Humidity Atmosphere, J. Atmos. Sci., 69(8), 2538–2550, doi:10.1175/JAS-D-11-0203.1.
                28. Slingo, A., J. A. Pamment, R. P. Allan, and P. S. Wilson (2000), Water Vapor Feedbacks in the ECMWF Reanalyses and Hadley Centre Climate Model, J. Climate, 13, 3080–3098.
                29. Soden, B. J., R. T. Wetherald, G. L. Stenchikov, and A. Robock (2002), Global Cooling After the Eruption of Mount Pinatubo: A Test of Climate Feedback by Water Vapor, Science, 296, 727–730.
                30. 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.
                31. Soden, B. J. and R. Fu (1995), A Satellite Analysis of Deep Convection, Upper-Tropospheric Humidity, and the Greenhouse Effect, J. Climate, 8, 2333–2351.
                32. Stainforth, D. A., T. Aina, C. Christensen, M. Collins, N. Faull, D. J. Frame, J. A. Kettleborough, S. Knight, A. Martin, J. M. Murphy, C. Piani, D. Sexton, L. A. Smith, R. A. Spicer, A. J. Thorpe, and M. R. Allen (2005), Uncertainty in predictions of the climate response to rising levels of greenhouse gases, Nature, 433, 403–406.
                33. Stephens, G. L. (2005), Cloud feedbacks in the climate system: A critical review, J. Climate, 18(2), 237–273, doi:10.1175/JCLI-3243.1.
                34. Stephens, G. L., S. Tsay, P. W. Stackhouse Jr., and P. J. Flatau (1990), The relevance of the microphysical and radiative properties of cirrus clouds to climate and climatic feedback, J. Atmos. Sci., 47(14), 1742–1753, doi:10.1175/1520-0469(1990)047<1742:TROTMA>2.0.CO;2.
                35. Su, H., R. W. Read, J. H. Jiang, J. W. Waters, D. L. Wu, and E. J. Fetzer (2006), Enhanced positive water vapor feedback associated with tropical deep convection: New evidence from Aura MLS, Geophys. Res. Lett., 33, L05709, doi:10.1029/2005GL025505.
                36. Watterson, I. G., M. R. Dix, and R. A. Colman (1999), A comparison of present and doubled CO2 climates and feedbacks simulated by three general circulation models, J. Geophys. Res., 104(D2), 1943–1956.
                37. Wetherald, R. T. and S. Manabe (1987), Cloud Feedback Processes in a General Circulation Model, J. Atmos. Sci., 45(8), 1397–1416, doi:10.1175/1520-0469(1988)045<1397:CFPIAG>2.0.CO;2.
                38. Zelinka, M. D. and D. L. Hartmann (2010), Why is longwave cloud feedback positive?, J. Geophys. Res.: Atm., 115(D16), D16117, doi:10.1029/2010JD013817,.
                39. Zelinka, M. D. and D. L. Hartmann (2011), The observed sensitivity of high clouds to mean surface temperature anomalies in the tropics, J. Geophys. Res., 116(D23), D23103, doi:10.1029/2011JD016459,.
                40. Zelinka, M. D., S. A. Klein, K. E. Taylor, T. Andrews, M. J. Webb, J. M. Gregory, and P. M. Forster (2013), Contributions of Different Cloud Types to Feedbacks and Rapid Adjustments in CMIP5, J. Climate, 26(14), 5007–5027, doi:10.1175/JCLI-D-12-00555.1.