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. Bauer, P., A. J. Geer, P. Lopez, and D. Salmond (2010), Direct 4D-Var assimilation of all-sky radiances. Part I: ImplementationQ. J. R. Meteorol. Soc., 136(652), 1868–1885, doi:10.1002/qj.659.
                2. Birkenheuer, D. (1998), P5.27A Radiance Assimilation of Polar and Geostationary Satellite Data in Laps, NOAA Forecasts systems Laboratory.
                3. Cohn, S. E. (1997), An Introduction to Estimation TheoryJ. Meteorol. Soc. Jpn., 75(1B), 257–288.
                4. English, S. J., J. R. Eyre, and J. A. Smith (1999), A cloud-detection scheme for use with satellite sounding radiances in the context of data assimilation for numerical weather predictionQ. J. R. Meteorol. Soc., 125(559), 2359–2378.
                5. Fisher, M. and D. J. Lary (1995), Lagrangian four-dimensional variational data assimilation of chemicel speciesQ. J. R. Meteorol. Soc., 121, 1681–1704.
                6. Geer, A. J., P. Bauer, and C. W. O'Dell (2009), A Revised Cloud Overlap Scheme for Fast Microwave Radiative Transfer in Rain and CloudJ. Appl. Meteorol. Clim., 48(11), 2257–2270, doi:10.1175/2009JAMC2170.1.
                7. Greenwald, T., R. Bennartz, A. Heidinger, and C. O'Dell (xx), Radiative Transfer Model Development for Operational Global Assimilation of Passive Microwave Radiances in Precipitation Clouds, University of Wisconsin-Madison, NOAA/NESDIS.
                8. Hunt, B. R., E. J. Kostelich, and I. Szunyogh (2007), Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filterPhysica D, 230(1-2), 112–126, doi:10.1016/j.physd.2006.11.008.
                9. Joiner, J., A. M. da Silva, and R. Menard (1111), Efficient Methods to Assimilate Data from Future remote Sounding instruments, NASA/Goddard Data Assimilation Office (DAO).
                10. Kulie, M. S., R. Bennartz, T. J. Greenwald, Y. Chen, and F. Weng (2010), Uncertainties in Microwave Properties of Frozen Precipitation: Implications for Remote Sensing and Data AssimilationJ. Atmos. Sci., 67(11), 3471–3487.
                11. Lary, D. J. (1999), Data Assimilation: A Powerful Tool for Atmospheric Chemistry, , doi:10.1098/rsta.1999.0502.
                12. Liu, C., Q. Xiao, and B. Wang (2008), An Ensemble-Based Four-Dimensional Variational Data Assimilation Scheme. Part I: Technical Formulation and Preliminary TestMon. Weather Rev., 136(9), 3363–3373, doi:10.1175/2008MWR2312.1.
                13. Rizvi, S. R. H., R. Kamineni, and U. C. Mohanty (2002), Impact of MSMR data on NCMRWF Global Data Assimilation SystemMet. Atm. Phys., 81, 257–272, doi:10.1007/s00703-002-0550-1.
                14. Tian, M., X. Zou, and F. Weng (2015), Use of Allan Deviation for Characterizing Satellite Microwave Sounder Noise Equivalent Differential Temperature (NEDT)IEEE Geosci. Remote Sens. Let., 12(12), 2477–2480, doi:10.1109/LGRS.2015.2485945.