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 | 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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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                External references

                1. Aires, F., C. Prigent, F. Bernando, C. Jiménez, R. Saunders, and P. Brunel (2011), A tool to estimate land-surface emissivities at microwave frequencies (TELSEM) for use in numerical weather prediction, Q. J. R. Meteorol. Soc., 137, 690–699, doi:10.1002/qj.803.
                2. Bennartz, R., K. Pappe, J. Fischer, and T. J. Hewison (2002), Comparison of observed and simulated microwave land surface emissivities over bare soil, Met. Zeit., 11(1), 5–12.
                3. Cruz-Pol, S. L. and C. S. Ruf (2000), A Modified Model for Specular Sea Surface Emissivity at Microwave Frequencies, IEEE T. Geosci. Remote, 38(2), 858–869.
                4. Deblonde, G. (2000), Evaluation of FASTEM and FASTEM2, Data Assimilation and Satellite Meteorology Division.
                5. Harlow, R. C. (2007), Airborne Retrievals of Snow Microwave Emissivity at AMSU Frequencies Using ARTS/SCEM-UA, J. Appl. Meteorol. Clim., 46, 23–35, doi:10.1175/JAM2440.1.
                6. Hewison, T. J. (2001), Airborne Measurements of Forest and Agricultural Land Surface Emissivity at Millimeter Wavelengths, IEEE T. Geosci. Remote, 39(2), 393–400.
                7. Hewison, T. (2002), Analysis of emissivity data from POLEX: Initial results and Development of FASTEM for Arctic Surfaces, Met Office.
                8. Hewison, T. J., N. Selbach, G. Heygster, J. P. Taylor, and A. J. McGrath (xx), Airborne Measurements of Arctic Sea Ice, Glacier and Snow Emissivity at 24–183 GHz, University of Bremen.
                9. Jin, M. and S. Liang (2006), An Improved Land Surface Emissivity Parameter for Land Surface Models Using Global Remote Sensing Observations, J. Climate, 19(12), 1867–2881, doi:10.1175/JCLI3720.1.
                10. Karbou, F. and C. Prigent (2005), Calculation of Microwave Land Surface Emissivity From Satellite Observations: Validity of the Specular Approximation Over Snow-Free Surfaces?, IEEE Geosci. Remote Sens. Let., 2(3), 311–314, doi:10.1109/LGRS.2005.847932.
                11. Karbou, F., C. Prigent, L. Eymard, and J. R. Pardo (2005), Microwave Land Emissivity Calculations Using AMSU Measurements, IEEE T. Geosci. Remote, 43(5), 948–959, doi:10.1109/TGRS.2004.837503.
                12. Karbou, F. (2005), Two Microwave Land Emissivity Parameterizations Suitable for AMSU Observations, IEEE Geosci. Remote Sens. Let., 43(8), 1788–1795.
                13. Lohmann, U. and E. Roeckner (1995), The influence of cirrus cloud-radiative forcing on climate and climate sensitivity in a general circulation model, J. Geophys. Res., 100, 16,305–16,323.
                14. Maetzler, C. (2005), On the Determination of Surface Emissivity From Satellite Observations, IEEE Geosci. Remote Sens. Let., 2(2), 160–163.
                15. Paape, K., R. Bennartz, and Juergen Fischer (xx), A combined two-scale model for microwave emissivities of land surfaces, Institute for Space Science, Free University of Berlin.
                16. Prigent, C., E. Jaumouillé, F. Chevallier, and F. Aires (2008), A Parameterization of the Microwave Land Surface Emissivity Between 19 and 100 GHz, Anchored to Satellite-Derived Estimates, IEEE Geosci. Remote Sens., 46, 1–9, doi:10.1109/TGRS.2007.908881.
                17. Prigent, C., F. Aires, D. Wang, S. Fox, and C. Harlow (2016), Sea-surface emissivity parametrization from microwaves to millimetre waves, Q. J. R. Meteorol. Soc., doi:10.1002/qj.2953.
                18. Ruston, B. C. and T. H. Vonder Haar (2004), Characterization of summertime microwave emissivities from the Special Sensor Microwave Imager over the conterminous United States, J. Geophys. Res., 109, D19103, doi:10.1029/2004JD004890.
                19. Vogel, R. L., Q. Liu, Y. Han, and F. Weng (2011), Evaluating a satellite derived global infrared land surface emissivity data set for use in radiative transfer modeling, J. Geophys. Res., 116, 1–11, doi:10.1029/2010JD014679.
                20. Weng, F., B. Yan, and N. C. Grody (2001), A microwave land emissivity model, J. Geophys. Res., 106(D17), 20,115–20,123.
                21. Weng, F. and B. Yan (2004), A microwave snow emissivity model, In: The Technical Proceedings of The Thirteenth International TOVS Study Conference (ITSC XIII).