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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                External references

                1. Anderberg, M. R. (ed.) (1973), Cluster Analysis for Applications (Probability & Mathematical Statistics Monograph), Academic Press, ISBN 0-120-57650-3.
                2. Bjoernsson, H. and S. A. Venegas (1997), A Manual for EOF and SVD Analyses of Climatic Data, McGill University.
                3. de Elia, R. and E. Laprise (2005), The Unbearable Lightness of Probabilities, Bull. Amer. Met. Soc., 1224–1225, doi:10.1175/BAMS-86-9-1224.
                4. Evensen, G. (2009), Data Assimilation - The Ensemble Kalman Filter Second Edition, Springer, ISBN 978-3-642-03710-8, doi:10.1007/978-3-642-03711-5.
                5. Gay, D. M. (1983), A Trust-Region Approach to Linearly Constrained Optimization, xxxx.
                6. Hamilton, D. J., W. A. Sandham, J. McQueen, and A. Blanco (1998), Electrocardiogram Data Compression by Estimation on Higher-Index Principal Components, Applied Signal Processin, 5, 49–58.
                7. Heer, C. V. (1972), Statistical Mechanics, Kinetic Theory, and Stochastic Processes, Ohio State University.
                8. Hoffmann, R. N. and D. W. Johnson (1994), Application of EOF`s to Multispectral Imagery: Data Compression and Noise Detection for AVIRIS, IEEE T. Geosci. Remote, 32(1), 25–33.
                9. Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu (1998), The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. Lond. A, 454(1971), 903–995, doi:10.1098/rspa.1998.0193.
                10. Hui, A. K., B. H. Armstrong, and A. A. Wray (1977), Rapid computation of the Voigt and complex error functions, J. Quant. Spectrosc. Radiat. Transfer, 19, 509–516.
                11. Lagendijk, E. (xx), Six Ways to Solve a "Simple" Problem: Fitting a Straight Line to Measurement Data, Department of Applied Physics.
                12. Lanzante, J. R. (1996), Resistant, Robust and Non-Parametric Techniques for the Analysis of Climate Data: Theory and Examples, including Applications to Historical Radiosonde Station Data, Int. J. Climatol., 16, 1197–1226.
                13. Lathauwer, L. de, B. de Moor, and J. Vandewalle (2000), A multilinear singular value decomposition, Siam J. Matrix Anal. Appl., 21(4), 1253–1278.
                14. Ma, Q. and R. H. Tipping (2002), The frequency detuning correction and the asymmetry of line shapes: The far wings of H2O-H2, J. Chem. Phys., 116(10), 4102–4115.
                15. Moler, C. B. and C. F. Van Loan (2004), Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years Later, SIAM Review, 45(1), 3–49, doi:10.1137/S00361445024180.
                16. Peach, G. (1975), The Width of Spectral Lines, Contemp. Phys., 16(1), 17–34.
                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. Petty, G. W. and W. Huang (2011), The Modified Gamma Size Distribution Applied To Inhomogeneous and Nonspherical Particles: Key Relationships and Conversions, J. Atmos. Sci., 68, 1460–1473, doi:10.1175/2011JAS3645.1.
                19. Ready, P. J. and P. A. Wintz (1973), Information Extraction, SNR Improvement, and Data Compression in Multispectral Imagery, IEEE T. Comm., Com-21(10), 1123–1130.
                20. Rodgers, C. D. and B. J. Connor (2003), Intercomparison of remote sounding instruments, J. Geophys. Res., 108(D3), 4116, doi:10.1029/2002JD002299.
                21. Rodgers, C. D. (1990), Characterization and Error Analysis of Profiles Retrieved From Remote Sounding Measurements, J. Geophys. Res., 95(D5), 5587–5595.
                22. Rodgers, C. D. (1995), Satellite remote sensing: The Inverse Problem, In: The Stratosphere and its Role in the Climate System.
                23. Roney, P. L. (1994), Theory of spectral line shape. II. Collision time theory and the line wing, J. Chem. Phys., 101(2), 1050–1060.
                24. Roney, P. L. (1994), Theory of spectral line shape. I. Formulation and line coupling, J. Chem. Phys., 101(2), 1037–1049.
                25. Schlitzer, R. (1111), Mathematische Methoden fuer Physiker und Geophysiker, , Vorlesungsscript.
                26. Schreier, F. (1992), The Voigt and complex error function: a comparison of computational methods, J. Quant. Spectrosc. Radiat. Transfer, 48(5/6), 743–762.
                27. Schutter, B. de and B. de Moor (1998), The QR decomposition and the singular value decomposition in the symmetrized max-plus algebra, Siam J. Matrix Anal. Appl., 19(2), 378–406.
                28. Schwab, J. J., R.-J. Pan, and J. Zhang (1996), What constitutes a valid intercomparison of satellite and in situ stratospheric H20 measurements?, J. Geophys. Res., 101(D1), 1517–1528.
                29. Sinnwell, T., S. Sinnwell, and K.-D. Becker (1998), Efficient Implementation of the Discrete Wavelet Transform on Digital Signal Processors, Appl. Sign. Proc., 5, 96–110.
                30. Smith, W. L. and H. M. Woolf (1976), The Use of Eigenvectors of Statistical Covariance Matrices for Interpreting Satellite Sounding Radiometer Observations, J. Atmos. Sci., 33(7), 1127–1140.
                31. Stedman, G. E. (1968), Green's Function, Contemp. Phys., 9(1), 49–69.
                32. Stephens, G. (1984), The Parametrization of Radiation for Numerical Weather Prediction and Climate Models, Mon. Weather Rev., 112, 826–867.
                33. Venema, V., F. Ament, and C. Simmer (2006), A Stochastic Iterative Amplitude Adjusted Fourier Transform algorithm with improved accuracy, Nonlin. Processes. Geophys., 13, 321–328.
                34. Wodkiewicz, K. and N. H. Cong (1111), Stochastic Model of Line Shapes, Warsaw University.
                35. Zdunkowski, W: and G. Korb (1111), Numerische Methoden zur Loesung der Strahlenuebertragungsgleichung, xxxx.