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.
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2c-ice
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a-train
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abs lookup
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absorption
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active
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aerosol
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aerosols
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age of air
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aggregation
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airs
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albedo
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algorithm
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amsos
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amsu
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annual cycle
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anomalies
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aqua
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ar4
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ar5
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arctic
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arm
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arts
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arts-dev
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asr
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assimilation
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astronomy
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astrophysics
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asymmetry
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atmosphere
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atmospheric composition
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atmospheric dynamics
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atmospheric profiles
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atsr-2
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avhrr
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bachelor thesis
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backscattering
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basics
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bayes
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bias
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biomass
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book
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calculation
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calculations
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calibration
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calipso
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ccn
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cdr
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ceres
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cfmip
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chemistry
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cia
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ciraclim
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cirrus
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cirrus anvil sublimation
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cirrus cloud
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cirrus clouds
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cirrusstudy
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ciwsir/cloudice
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claus
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cliccs
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climate
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climate change
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climate dynamics
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climate feedbacks
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climate sensitivity
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climate sensivity
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climate variability
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climatology
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cloud feedback
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cloud forcing
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cloud fraction
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cloud ice
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cloud ice mission
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cloud optical thickness
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cloud properties
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cloud radiative effects
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cloud radiative forcing
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cloud regimes
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cloud top pressure
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cloudice mission
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clouds
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cloudsat
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clustering
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cmip3
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cmip5
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cmip6
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cmsaf
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co2
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collocation
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collocations
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comparison
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computer science
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continua
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contrail
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convection
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convective clouds
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convective processes
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convective self-aggregation
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correlated k
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cosmic background
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cosmic rays
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cosp
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cost 723 qjrms
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cross-calibration
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cth
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cumulus
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dardar
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data assimilation
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data bases
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dda
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deep convection
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delta m
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dimer
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disort
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diurnal cycle
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dlr-smiles
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dmsp
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documentation
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doppler
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droplet size
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dynamics
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earth
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earthcare
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ec earth
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echam
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ecmwf
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effective radius
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electromagnetism
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electron content
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elevation
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elevation satellite-2
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emd
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emde
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emissivity
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enso
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eof-pca-svd
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erbe
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error assessment
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ers
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eruption
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esa planetary
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exoplanets
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extraterrestrial
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fall speed
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far-infrared
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faraday-voigt
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fcdr
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feedback
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feedbacks
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fingerprinting
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flux uav
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forcing
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forest fire
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fox19_airborne_amt.pdf
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friend
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fun
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fuzzy inference system
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fuzzy logic
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gcm
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genesis
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geostationary
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gerrit_erca
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global warming
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gnss
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goes
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gps
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gras
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graupel
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gravitational lensing
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greenhouse effect
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ground-based
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groundbased
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habil
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hadley circulation
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hail
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hamburg
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heating rate
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heating rates
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herschel
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hiatus
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hirs
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history
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hsb
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humidity
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hydrological sensitivity
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hydrological sensivity
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hydrometeors
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iasi
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ice
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ice clouds
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ice crystal growth
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ice nucleation
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ice water
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icesat-2
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ici
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icon
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icz
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in situ
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infrared
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infrared sounder
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instruments
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inter-calibration
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intercalibration
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intercomparison
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interference
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inverse modelling
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ipcc
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ir
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ir/vis
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iris
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isccp
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ismar
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isotopes
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itcz
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iwc
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iwp
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iwv
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john
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jupiter
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kalpana
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kessler scheme
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lblrtm
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licentiate thesis
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lidar
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limb effect
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limb sounding
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limb-correction
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linemixing
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lineshape
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liquid water
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liquid water path
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longwave radiation
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low-cloud feedback
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magnetic field
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magnetism
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mars
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mas
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mass-dimension relation
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master thesis
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masters thesis
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math
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megha-tropiques
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mendrok
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mesoscale organization
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meteorology
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meteosat
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methane ocean
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metop
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mhs
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microphysics
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microwave
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microwave humidity
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microwave radiometry
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milz
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mipas
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mirs
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misr
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mixed phase
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mls
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model
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modeling
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models
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modis
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monte carlo
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moon
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mspps
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msu
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mth
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multi-moment scheme
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multisensor
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mwhs
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mwi
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net radiation
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neural network
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nicam
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nlte
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noaa
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nonsphericity
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npoess
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observation
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ocean
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ocean reflection
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ocean-atmosphere interactions
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odin
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olr
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one-moment scheme
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open loop
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optical
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optical depth
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optical properties
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optics
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orbital drift
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orbital drift correction
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orbits
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ozone
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pacific ocean
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particle orientation
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particle shape
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particle size
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particle size distribution
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passive
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patmos-x
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phase function
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phd thesis
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planetary evolution
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polarimetry
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polarization
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polder
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potss
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precipitation
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profile datasets
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programming
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projection
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promet
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propagation modeling
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python
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radar
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radiation
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radiation profiles
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radiative convective equilibrium
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radiative equilibrium
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radiative feedback
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radiative fluxes
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radiative forcing
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radiative processes
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radiative transfer
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radiative-convective equilibrium
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radiative-equilibrium
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radio occultation
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radiometer
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radiometers
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radiosonde
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radiosonde cloud liquid
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radiosonde correction
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radiosonde corrections
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rain
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reanalysis
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refractive index
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relative humidity
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remote sensing
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retrieval
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retrievals
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review
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rodgers
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rttov
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sahara
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sahel
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sampling
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sand/dust
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sar
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satellite
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satellite missions
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satellite observations
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satellite simulator
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sbuehler_habil
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scattering
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scattering databases
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scintillations
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scout-amma
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self-aggregation
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sensor geometry
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seviri
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shallow convection
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simulated annealing
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single scattering
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smiles
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sno
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snow
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snowfall
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software
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soil
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solar
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soot
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sounders
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spectral information
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spectroscopy
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split window technique
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sreerekha
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ssm/i
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ssm/t
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ssmis
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ssmt2
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stability
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stars
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statistics
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ste
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stereo
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stratosphere
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submillimeter
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submm
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sun
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supersaturation
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surface
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synergies
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synergy
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task2
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tempera
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temperature
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terra
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thermodynamics
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time series
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titan
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tkuhn
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toa radiation
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top of the atmosphere
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total column
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tovs
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trade-wind clouds
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trajectory analysis
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trend
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trmm
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tropical circulation
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tropical convection
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tropical meteorology
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tropics
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tropopause
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troposphere
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ttl
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turbulence
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tutorial
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two-moment scheme
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upper troposphere
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uth
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uthmos
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utls
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validation
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vater vapor
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venus
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visualization
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volcanic ash
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walker
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walker circulation
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walker rirculation
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water
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water cycle
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water dimer
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water vapor
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water vapor continuum
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water vapour
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water vapour path
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water-vapour
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wind
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zeeman
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Group references
In the Pipeline
Articles
2012
- 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.
2011
- Eliasson, S., S. A. Buehler, M. Milz, P. Eriksson, and V. O. John (2011), Assessing observed and modelled spatial distributions of ice water path using satellite data, Atmos. Chem. Phys., 11, 375–391, doi:10.5194/acp-11-375-2011.
2010
- Holl, G., S. A. Buehler, B. Rydberg, and C. Jiménez (2010), Collocating satellite-based radar and radiometer measurements – methodology and usage examples, Atmos. Meas. Tech., 3, 693–708, doi:10.5194/amt-3-693-2010.
Books and Book Contributions
Theses
2013
- 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.
- Weblink: http://pure.ltu.se/portal/en/publications/ice-clouds-in-satellite-observations-and-climate-models(889d0b0f-ced5-4bff-9c4a-85e9da835d1d).html
- Download: PhDThesis_submitted131212.pdf
- Bibtex key: eliasson13:_ice_clouds_phd
- Keywords: phd thesis (23), cloudsat (62), isccp (40), modis (46), patmos-x (4), mspps (4), dardar (5), mirs (3), cmsaf (2), ice clouds (95), iwp (42), uth (72)
2011
- 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.
Technical Reports and Proposals
Articles in Conference Proceedings and Newsletters
2010
- Holl, G., S. A. Buehler, B. Rydberg, and C. Jiménez (2010), Collocating satellite-based radar and radiometer measurements — methodology and usage examples, In: Proceedings of ESA Living Planet Symposium, European Space Agency.
Internal Reports
External references
- Austin, R. T. and G. L. Stephens (2001), Retrieval of stratus cloud microphysical parameters using millimeter-wave radar and visible optical depth in preparation for CloudSat 1. Algorithm formulation, J. Geophys. Res., 106(D22), 28,233–28,242.
- 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.
- Baran, A. J., A. Bodas-Salcedo, R. Cottona, and C. Lee (2011), Simulating the equivalent radar reflectivity of cirrus at 94 GHz using an ensemble model of cirrus ice crystals: a test of the Met Office global numerical weather prediction model, Q. J. R. Meteorol. Soc., Not published yet, doi:10.1002/qj.870.
- Benedetti, A., G. L. Stephens, and J. M. Haynes (2003), Ice cloud microphysics retrievals from millimeter radar and visible optical depth using an estimation theory approach, J. Geophys. Res., 108(D11), 4335, doi:10.1029/2002JD002693.
- Bodas-Salcedo, A., M. J. Webb, M. E. Brooks, M. A. Ringer, K. D. Williams, S. F. Milton, and D. R. Wilson (2008), Evaluating cloud systems in the Met Office global forecast model using simulated CloudSat radar reflectivities, J. Geophys. Res., 113, D00A13, doi:10.1029/2007JD009620.
- Chen, W. T., C. P. Woods, J.L. Li, D. Waliser, J. D. Chern, W. K. Tao, J. Jiang, and A. M. Tompkins (2010), Partitioning CloudSat Ice Water Content for Comparison with Upper-Tropospheric Ice in Global Atmospheric Models, In: AGU fallmeeting.
- 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.
- Wang, Z. and K. Sassen (2007), Level 2 cloud scenario classification product process description and interface controll document, Cooperative institute for research in the atmosphere, Colorado State University, CloudSat project document.
- Cooper, S. J., T. S. L'Ecuyer, and G. L. Stephens (2003), The impact of explicit cloud boundary information on ice cloud microphysical property retrievals from infrared radiances, J. Geophys. Res., 108, doi:10.1029/2002JD002611.
- Cooper, S. J., T. S. L'Ecuyer, P. Gabriel, A. J. Baran, and G. L. Stephens (2006), Objective Assessment of the Information Content of Visible and Infrared Radiance Measurements for Cloud Microphysical Property Retrievals over the Global Oceans. Part II: Ice Clouds, J. Appl. Meteorol. Clim., 45, 42–62, doi:10.1175/JAM2327.1.
- Delanoë, J. and R. J. Hogan (2008), A variational scheme for retrieving ice cloud properties from combined radar, lidar, and infrared radiometer, J. Geophys. Res., 113, D07204, doi:10.1029/2007JD009000.
- Delanoë, J. and R. J. Hogan (2010), Combined CloudSat-CALIPSO-MODIS retrievals of the properties of ice clouds, J. Geophys. Res., 115, D00H29, doi:10.1029/2009JD012346.
- Delanoë, J., R. J. Hogan, R. M. Forbes, A. Bodas-Salced, and T. H. M Stein (2011), Evaluation of ice cloud representation in the ECMWF and UK Met Office models using CloudSat and CALIPSO data, Q. J. R. Meteorol. Soc., Not published yet, doi:10.1002/qj.882.
- 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.
- Durden, S. and R. Boain (2004), Orbit and Transmit Characteristics of the CloudSat Cloud Profiling Radar (CPR), Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109.
- Eriksson, P., M. Ekström, B. Rydberg, D. L. Wu, R. T. Austin, and D. P. Murtagh (2008), Comparison between early Odin-SMR, Aura MLS and CloudSat retrievals of cloud ice mass in the upper tropical troposhere, Atmos. Chem. Phys., 8(7), 1937–1948, doi:10.5194/acp-8-1937-2008.
- Gong, J. and D. L. Wu (2013), CloudSat-constrained cloud ice water path and cloud top height retrievals from MHS 157 and 183.3 GHz radiances, Atmos. Meas. Tech. Discuss., 6, 8187–8233, doi:10.5194/amtd-6-8187-2013.
- Hashino, T., M. Satoh, Y. Hagihara, T. Kubota, T. Matsui, T. Nasuno, and H. Okamoto (2012), Evaluation of cloud distribution and bulk microphysics simulated by a global cloud-resolving model with combined use of CloudSat and CALIPSO measurements, J. Geophys. Res., to be submitted.
- Haynes, J. M., R. T. Marchand, Z. Luo, A. Bodas-Salcedo, and G. L. Stephens (2007), A Multipurpose Radar Simulation Package: QuickBeam, Bull. Amer. Met. Soc., 1723–1727, doi:10.1175/BAMS-88-11-1723.
- Haynes, John M., Tristan S. L'Ecuyer, Graeme L. Stephens, Steven D. Miller, Cristian Mitrescu, Norman B. Wood, and Simone Tanelli (2009), Rainfall retrieval over the ocean with spaceborne W-band radar, J. Geophys. Res., 114, D00A22, doi:10.1029/2008JD009973.
- Haynes, J. M., T. H. Vonder Haar, T. L'Ecuyer, and D. Henderson (2013), Radiative heating characteristics of Earth's cloudy atmosphere from vertically resolved active sensors, Geophys. Res. Lett., 40, doi:10.1002/GRL.50145.
- Heymsfield, A. J., D. Winker, and G.-J. van Zadelhoff (2005), Extinction-ice water content-effective radius algorithms for CALIPSO, Geophys. Res. Lett., 32, doi:10.1029/2005GL022742.
- Heymsfield, A. J., Z. Wang, and S. Matrosov (2005), Improved Radar Ice Water Content Retrieval Algorithms Using Coincident Microphysical and Radar Measurements, J. Appl. Meteorol., 44, 1391–1412, doi:10.1175/JAM2282.1.
- Heymsfield, A. J., A. Protat, R. Austin, D. Bouniol, R. Hogan, J. Delanoë, H. Okamoto, K. Sato, G.-J. van Zadelhoff, D. Donovan, and Z. Wang (2008), Testing IWC Retrieval Methods Using Radar and Ancillary Measurements with In Situ Data, J. Appl. Meteorol. Clim., 47(1), 135–163, doi:10.1175/2007JAMC1606.1.
- Hudak, D., H. Barker, P. Rodriguez, and D. Donovan (2006), The Canadian CloudSat Validation Project, In: Proceedings of the 4th European Conference on Radar in Meteorology and Hydrology, Barcelona, Spain, September 18-22, 2006.
- Kahn, B. H., M. T. Chahine, G. L. Stephens, G. G. Mace, R. T. Marchand, Z. Wang, C. D. Barnet, A. Eldering, R. E. Holz, R. E. Kuehn, and D. G. Vane (2008), Cloud type comparisons of AIRS, CloudSat, and CALIPSO cloud height and amount, Atmos. Chem. Phys., 8, 1231–1248, doi:10.5194/acp-8-1231-2008.
- Kato, S., F. G. Rose, S. Sun-Mack, W. F. Miller, Y. Chen, D. A. Rutan, G. L. Stephens, N. G. Loeb, P. Minnis, B. A. Wielicki, D. M. Winkler, T. P. Charlock, P. W. Stackhouse Jr., K.-M. Xu, and W. D. Collins (2011), Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS- derived cloud and aerosol properties, J. Geophys. Res., 116(D19), D19209, doi:10.1029/2011JD016050.
- L'Ecuyer, T. S., G. L. Stevens, and R. T. Austin (2004), Mapping clouds and precipitation with CloudSat and the afternoon A-Train, In: Proceedings of the 3rd European Conference on Radar Meteorology and COST-717 Final Seminar, Visby, Sweden, September 6-10, 2004, pp. 144–149.
- 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.
- L'Ecuyer, T. S. and J. H. Jiang (2010), Touring the atmosphere aboard the A-Train, Phys. Today, 63(7), 36–41.
- Li, L., G. M. Heymsfield, L. Tian, and P. E. Racette (2005), Measurements of Ocean Surface Backscattering Using an Airborne 94-GHz Cloud Radar—Implication for Calibration of Airborne and Spaceborne W-Band Radars, J. Atmos. Oceanic Technol., 22, 1033–1045, doi:10.1175/JTECH1722.1.
- Liu, C., E. J. Zipser, G. G. Mace, and S. Benson (2008), Implications of the differences between daytime and nighttime CloudSat observations over the tropics, J. Geophys. Res., 113, 1–11, doi:10.1029/2008JD009783.
- Mace, G. G., Q. Zhang, M. Vaughan, R. Marchand, G. Stephens, C. Trepte, and D. Winker (2009), A description of hydrometeor layer occurrence statistics derived from the first year of merged CloudSat and CALIPSO data, J. Geophys. Res., 114, 1–17, doi:10.1029/2007JD009755.
- Mace, G. G. (2009), Cloud properties and radiative forcing over the maritime storm tracks of the Southern Ocean and North Atlantic derived from A-Train, J. Geophys. Res., 115, D10201, doi:10.1029/2009JD012517.
- Matrosov, S. Y. and A. J. Heymsfield (2008), Estimating ice content and extinction in precipitating cloud systems from CloudSat radar measurements, J. Geophys. Res., 113, 1–8, doi:10.1029/2007JD009633.
- Mitrescu, C., S. Miller, J. Hawkins, T L'Ecuyer, J. Turk, P. Partain, and G. Stephens (2007), Near-Real-Time Applications of CloudSat Data, J. Appl. Meteorol. Clim., 47, 1982–1994, doi:10.1175/2007JAMC1794.1.
- Molthan, A. L. and W. A. Petersen (2011), Incorporating Ice Crystal Scattering Databases in the Simulation of Millimeter-Wavelength Radar Reflectivity, J. Atmos. Oceanic Technol., 28, 337–351, doi:10.1175/2010JTECHA1511.1.
- 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.
- Protat, A., D. Bouniol, J. Delanoe, P. T. May, A. Plana-Fattori, A. Hasson, E. O?Connor, U. Gorsdorf, and A. J. Heymsfield (2009), Assessment of Cloudsat Reflectivity Measurements and Ice Cloud Properties Using Ground-Based and Airborne Cloud Radar Observations, J. Atmos. Oceanic Technol., 26, 1717–1741, doi:10.1175/2009JTECHA1246.1.
- Protat, A., J. Delanoe, E. J. O'Connor, and T. S. L'Ecuyer (2010), The Evaluation of CloudSat and CALIPSO Ice Microphysical Products Using Ground-Based Cloud Radar and Lidar Observations, J. Atmos. Oceanic Technol., 27, 793–810, doi:10.1175/2009JTECHA1397.1.
- 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.
- Sassen, K., Z. Wang, V. I. Khvorostyanov, G. L. Stephens, and A. Bennedetti (2002), Cirrus Cloud Ice Water Content Radar Algorithm Evaluation Using an Explicit Cloud Microphysical Model, J. Appl. Meteorol., 41, 620–628.
- Sassen, K., S. Matrosov, and J. Campbell (2007), CloudSat spaceborne 94 GHz radar bright bands in the melting layer: An attenuation-driven upside-down lidar analog, Geophys. Res. Lett., 34, L16818, doi:10.1029/2007GL030291.
- Sassen, K., Z. Wang, and D. Liu (2008), Global distribution of cirrus clouds from CloudSat/Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) measurements, J. Geophys. Res., 113, 1–12, doi:10.1029/2008JD009972.
- 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.
- Stephens, G. L., D. G. Vane, R. J. Boain, G. G. Mace, K. Sassen, Z. Wang, A. J. Illingworth, E. J. O'Connor, W. B. Rossow, S. L. Durden, S. D. Miller, R. T. Austin, A. Benedetti, C. Mitrescu, and the CloudSat Science Team (2002), The CloudSat mission and the A-train, Bull. Amer. Met. Soc., 83(12), 1771–1790, doi:10.1175/BAMS-83-12-1771.
- Stephens, G. L., D. G. Vane, S. Tanelli, E. Im, S. Durden, M. Rokey, D. Reinke, P. Partain, G. G. Mace, R. Austin, T. L'Ecuyer, J. Haynes, M. Lebsock, K. Suzuki, D. Waliser, D. Wu, J. Kay, A. Gettelman ad Z. Wang, and R. Marchand (2008), CloudSat mission: Performance and early science after the first year of operation, J. Geophys. Res., 113, D00A18, doi:10.1029/2008JD009982.
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