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

    Articles

      2014 Back to top

    1. Holl, G., S. Eliasson, J. Mendrok, and S. A. Buehler (2014), SPARE-ICE: synergistic Ice Water Path from passive operational sensors, J. Geophys. Res., 119(3), 1504–1523, doi:10.1002/2013JD020759.

      2. 2013 Back to top

    2. Eliasson, S., G. Holl, S. A. Buehler, T. Kuhn, M. Stengel, F. Iturbe-Sanchez, and M. Johnston (2013), Systematic and random errors between collocated satellite ice water path observations, J. Geophys. Res., 118, 1–14, doi:10.1029/2012JD018381.

      3. 2012 Back to top

    3. Johnston, M. S., P. Eriksson, S. Eliasson, C. Jones, R. Forbes, and D. P. Murtagh (2012), The representation of tropical upper tropospheric water in EC Earth V2, Climate Dynamics, 39(11), 2713–2731, doi:10.1007/s00382-012-1511-0.

      4. 2009 Back to top

    4. Rydberg, B., P. Eriksson, S. A. Buehler, and D. P. Murtagh (2009), Non-Gaussian Bayesian retrieval of tropical upper tropospheric cloud ice and water vapour from Odin-SMR measurements, Atmos. Meas. Tech., 2, 621–637, doi:10.5194/amt-2-621-200.

      5. 2007 Back to top

    5. Mendrok, J., F. Schreier, and M. Höpfner (2007), Estimating cirrus cloud properties from MIPAS data, Geophys. Res. Lett., 34, L08807, doi:10.1029/2006GL028246.

    Books and Book Contributions

      Theses

        2013 Back to top

      1. Holl, G. (2013), Remote sensing of ice clouds: synergistic measurements and radiative transfer simulations, Ph.D. thesis, Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering Division of Space Technology.
      2. Eliasson, S. (2013), Ice clouds in satellite observations and climate models, Ph.D. thesis, Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering Division of Space Technology, ISBN 978-91-7439-544-0 ISSN: 1402-1544.

        3. 2011 Back to top

      3. Eliasson, S. (2011), Ice clouds in satellite observations and climate models, Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering Division of Space Technology, Licentiate thesis, ISSN: 1402-1757, ISBN: 978-91-7439-312-5.

        4. 2006 Back to top

      4. Eliasson, Salomon (2006), An Extrapolation Technique of Cloud Characteristics Using Tropical Cloud Regimes, Master's thesis, Uppsala Universitet.

      Technical Reports and Proposals

        2014 Back to top

      1. Holl, G. (2014), EPS-SG ATBD For the ICI Ice Water Path Product, EUMETSAT, v1 Draft, 28 Feb 2014.

      Articles in Conference Proceedings and Newsletters

        Internal Reports

          External references

          1. Austin, R. T., A. J. Heymsfield, and G. L. Stephens (2009), Retrieval of ice cloud microphysical parameters using the CloudSat millimeter-wave radar and temperature, J. Geophys. Res., 114, D00A23, doi:10.1029/2008JD010049.
          2. Baran, A. J., P. J. Connolly, A. J. Heymsfield, and A. Bansemer (2010), Using in situ estimates of ice water content, volume extinction coefficient, and the total solar optical depth obtained during the tropical ACTIVE campaign to test an ensemble model of cirrus ice crystals, Q. J. R. Meteorol. Soc., doi:10.1002/qj.731.
          3. Boukabara, S.-A., K. Garrett, W. Chen, F. Iturbide-Sanchez, C. Grassotti, C. Kongoli, R. Chen, Q. Liu, B. Yan, F. Weng, R. Ferraro, T. J. Kleespies, and H. Meng (2011), MiRS: An All-Weather 1DVAR Satellite Data Assimilation and Retrieval System, IEEE T. Geosci. Remote, 49(9), 3249–3272, doi:10.1109/TGRS.2011.2158438.
          4. Chen, W. T., C. P. Woods, J.L. Li, D. Waliser, J. D. Chern, W. K. Tao, J. Jiang, and A. M. Tompkins (2011), Partitioning CloudSat ice water content for comparison with upper tropospheric ice in global atmospheric models, J. Geophys. Res., 116, D19206, doi:10.1029/2010JD015179.
          5. Choi, Y-S. and C-H. Ho (2006), Radiative effect of cirrus with different optical properties over the tropics in MODIS and CERES observations, Geophys. Res. Lett., 33, L21811, doi:10.1029/2006GL027403.
          6. Deng, M., G. G. Mace, Z. Wang, and H. Okamoto (2010), Tropical Composition, Cloud and Climate Coupling Experiment validation for cirrus cloud profiling retrieval using CloudSat radar and CALIPSO lidar, J. Geophys. Res., 115, D00J15, doi:10.1029/2009JD013104.
          7. Deng, M., G. G. Mace, Z. Wang, and R. P. Lawson (2013), Evaluation of Several A-Train Ice Cloud Retrieval Products with In Situ Measurements Collected during the SPARTICUS Campaign, J. Appl. Meteorol. Clim., 52(4), 1014–1030, doi:10.1175/JAMC-D-12-054.1.
          8. Devasthale, A. and M. A. Thomas (2012), Sensitivity of cloud liquid water content estimates to the temperature dependent thermodynamic phase: a global study using CloudSAT data, J. Climate, doi:10.1175/JCLI-D-11-00521.1.
          9. Evans, K. F. and G. L. Stephens (1995), Microwave Radiative Transfer through Clouds Composed of Realistically Shaped Ice Crystals. Part I: Single Scattering Properties, J. Atmos. Sci., 52(11), 2041–2057, doi:10.1175/1520-0469(1995)052<2041:MRTTCC>2.0.CO;2.
          10. Evans, K. F. and G. L. Stephens (1995), Microwave Radiative Transfer through Clouds Composed of Realistically Shaped Ice Crystals. Part II: Remote Sensing of Ice Clouds, J. Atmos. Sci., 52, 2058–2072, doi:10.1175/1520-0469(1995)052<2058:MRTTCC>2.0.CO;2.
          11. Guan, B., D. E. Waliser, J.-L. F. Li, and A. da Silva (2013), Evaluating the impact of orbital sampling on satellite-climate model comparisons, J. Geophys. Res., 118, 1–15, doi:10.1029/2012JD018590.
          12. Guignard, A., C. J. Stubenrauch, A. J. Baran, and R. Armante (2012), Bulk microphysical properties of semi-transparent cirrus from AIRS: a six year global climatology and statistical analysis in synergy with geometrical profiling data from CloudSat-CALIPSO, Atmos. Chem. Phys., 12, 503–525, doi:10.5194/acp-12-503-2012.
          13. Heymsfield, A. J., S. Matrosov, and B. Baum (2003), Ice water path - optical depth relationships for cirrus and deep stratiform ice cloud layers, J. Appl. Meteorol., 42(20), 1369–1390.
          14. Hong, G., P. Yang, B.-C. Gao, B. A. Baum, Y. X. Hu, M. D. King, and S. Platnick (2007), High Cloud Properties from Three Years of MODIS Terra and Aqua Collection-4 Data over the Tropics, J. Appl. Meteorol. Clim., 46, doi:10.1175/2007JAMC1583.1.
          15. Hong, G., P. Yang, H.-L. Huang, B. A. Baum, Y. Hu, and S. Platnick (2007), The Sensitivity of Ice Cloud Optical and Microphysical Passive Satellite Retrievals to Cloud Geometrical Thickness, IEEE T. Geosci. Remote, 45(5), doi:10.1109/TGRS.2007.894549.
          16. Jiang, J. H., H. Su, C. Zhai, V. S. Perun, A. Del Genio, L. S. Nazarenko, L. J. Donner, L. Horowitz, C. Seman, J. Cole, A. Gettelman, M. A. Ringer, L. Rotstayn, S. Jeffrey, T. Wu, F. Brient, J.-L. Dufresne, H. Kawai, T. Koshiro, M. Watanabe, T. S. L'Ecuyer, E. M. Volodin, T. Iversen, H. Drange, M. D. S. Mesquita, W. G. Read, J. W. Waters, B. Tian, J. Teixeira, and G. L. Stephens (2012), Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA "A-Train" satellite observations, J. Geophys. Res., 117, D14105, doi:10.1029/2011JD017237.
          17. Kristjánsson, J. E., J. M. Edwards, and D. L. Mitchell (2000), Impact of a new scheme for optical properties of ice crystals on climates of two GCMs, J. Geophys. Res., 105(D8), 10063–10079, doi:10.1029/2000JD900015.
          18. L'Ecuyer, T. S., N. B. Wood, T. Haladay, G. L. Stephens, and P. W. Stackhouse Jr. (2008), Impact of clouds on atmospheric heating based on the R04 CloudSat fluxes and heating rates data set, J. Geophys. Res., 113, D00A15, doi:10.1029/2008JD009951.
          19. Li, J.-L. F., D. E. Waliser, W.-T. Chen, B. Guan, T. Kubar, G. Stephens, H.-Y. Ma, M. Deng, L. Donner, C. Seman, and L. Horowitz (2012), An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data, J. Geophys. Res., 117, D16105, doi:10.1029/2012JD017640.
          20. Liu, G. and E.-K. Seo (2013), Detecting snowfall over land by satellite high-frequency microwave observations: The lack of scattering signature and a statistical approach, J. Geophys. Res., 118(3), 1376–1387, doi:10.1002/jgrd.50172.
          21. Liu, G. and J. A. Curry (1999), Tropical Ice Water Amount and Its Relations to Other Atmospheric Hydrological Parameters as Inferred from Satellite Data, J. Appl. Meteorol., 38, 1182–1194.
          22. Meyer, K., P. Yang, and B.-C. Gao (2006), Tropical ice cloud optical depth, ice water path, and frequency fields inferred from the MODIS level-3 data, Atmos. Res., 85, 171–182, doi:10.1016/j.atmosres.2006.09.009.
          23. Pittman, J. V., F. R. Robertson, R. J. Atkinson, and C. Blankenship (2008), Understanding Differences Between Co-Incident CloudSat, Aqua/MODIS and NOAA18 MHS Ice water Path Retrievals Over the Tropical Oceans, In: AGU Fall Meeting Abstracts.
          24. Posselt, D. J., T. S. L'Ecuyer, and G. L. Stephens (2008), Exploring the error characteristics of thin ice cloud property retrievals using a Markov chain Monte Carlo algorithm, J. Geophys. Res., 113, D24206, doi:10.1029/2008JD010832.
          25. Reitter, S., K. Fröhlich, A. Seifert, S. Crewell, and M. Mech (2011), Evaluation of ice and snow content in the global numerical weather prediction model GME with CloudSat, Geosci. Model Dev., 4(3), 579–589, doi:10.5194/gmd-4-579-2011.
          26. Stein, T. H. M., J. Delanoë, and R. J. Hogan (2011), A Comparison among Four Different Retrieval Methods for Ice-Cloud Properties Using Data from CloudSat, CALIPSO, and MODIS, J. Appl. Meteorol. Clim., 50, 1952–1969, doi:10.1175/2011JAMC2646.1.
          27. Sun, N. and F. Weng (2012), Retrieval of Cloud Ice Water Path from Special Sensor Microwave Imager/Sounder (SSMIS), J. Appl. Meteorol. Clim., 51(2), 366–379, doi:10.1175/JAMC-D-11-021.1.
          28. Vivekanandan, J., J. Turk, and V. N. Bringi (1991), Ice Water Path Estimation and Characterization Using Passive Microwave Radiometry, J. Appl. Meteorol., 30, 1407–1421.
          29. Walther, A. and A. K. Heidinger (2012), Implementation of the Daytime Cloud Optical and Microphysical Properties Algorithm (DCOMP) in PATMOS-x, J. Appl. Meteorol. Clim., doi:10.1175/JAMC-D-11-0108.1.
          30. Wu, D. L., J. H. Jiang, W. G. Read, R. T. Austin, C. P. Davis, A. Lambert, G. L. Stephens, D. G. Vane, and J. W. Waters (2008), Validation of the Aurs MLS cloud ice water content measurements, J. Geophys. Res., 113, D15S10, doi:10.1029/2007JD008931.
          31. Yang, P., K. N. Liou, K. Wyser, and D. Mitchell (2000), Parameterization of the scattering and absorption properties of individual ice crystals, J. Geophys. Res., 105(D4), 4699–4718.
          32. Zhang, Z., S. Platnick, P. Yang, A. K. Heidinger, and J. M. Comstock (2010), Effects of ice particle size vertical inhomogeneity on the passive remote sensing of ice clouds, J. Geophys. Res., 115, D17203, doi:10.1029/2010JD013835.