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
2018 
- Plesca, E., V. Grützun, and S. A. Buehler (2018), How robust is the weakening of the Pacific Walker circulation in CMIP5 idealized transient climate simulations?, J. Climate, 31(1), 81–97, doi:10.1175/JCLI-D-17-0151.1.
Books and Book Contributions
Theses
Technical Reports and Proposals
2014 
- John, V. O., R. Roebeling, and J. Schulz (2014), Core-Climax System Maturity Matrix (SMM) instruction manual, EUMETSAT.
2003 
- Kornblueh, L., E. Roeckner, G. Kirchgast, U. Foelsche, J. Ramsauer, S. Buehler, and P. Eriksson (2003), ACE+ Climate Impact Study, Max-Planck-Institute fuer Meteorologie, Karl-Franzens-Universitaet Graz, Universitaet Bremen, Chalmers University of Technology.
Articles in Conference Proceedings and Newsletters
Internal Reports
External references
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- Aghedo, A. M., K. W. Bowman, D. T. Shindell, and G. Faluvegi (2011), The impact of orbital sampling, monthly averaging and vertical resolution on climate chemistry model evaluation with satellite observations, Atmos. Chem. Phys. Discuss., 11, 9705–9742, doi:10.5194/acpd-11-9705-2011.
- Alan, R. P. and A. Slingo (2002), Can current climate model forcings explain the spatial and temporal signatures of decadal ORL variation?, Geophys. Res. Lett., 29(7), doi:10.1029/2001GL014620.
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- Allan, R. P., V. Ramaswamy, and A. Slingo (2002), Diagnostic analysis of atmospheric moisture and clear-sky radiative feedback in the Hadley Centre and Geophysical Fluid Dynamics Laboratory GFDL climate models, J. Geophys. Res., 107(D17), doi:10.1029/2001JD001131.
- Allan, R. P., M. A. Ringer, and A. Slingo (2003), Evaluation of moisture in the Hadley Centre climate model using simulations of HIRS water-vapour channel radiances, Q. J. R. Meteorol. Soc., 129, 3371–3389, doi:10.1256/qj.02.217.
- Allen, R. P. and A. Slingo (2002), Analysis of moisture variability in the European Centre for Medium-Range Weather Forecasts 15-year reanalysis over the tropical oceans, J. Geophys. Res., 107(D15), doi:10.1029/2001JD001132.
- Allen, M. R. and D. J. Frame (2007), Call Off the Quest, Science, 318, 582–583, doi:10.1126/science.1149988.
- Alley, R., et al. (2007), Climate Change 2007: The Physical Science Basis – Summary for Policymakers, IPCC, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change.
- Anderson, J. G., J. A. Dykemaa, R. M. Goody, H. Hua, and D. B. Kirk-Davidoff (2003), Absolute, spectrally-resolved, thermal radiance: a benchmark for climate monitoring from space, J. Quant. Spectrosc. Radiat. Transfer, doi:10.1016/S0022-4073(03)00232-2.
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- Asrar, G., S. Bony, O. Boucher, A. Busalacchi, A. Cazenave, M. Dowell, G. Flato, G. Hegerl, E. Källén, T. Nakajima, A. Ratier, R. Saunders, J. Slingo, B.-J. Sohn, J. Schmetz, B. Stevens, P. Zhang, and F. Zwiers (2015), Climate Symposium 2014 - Findings and Recommendations, Bull. Amer. Met. Soc., 96(9), ES145–ES147, doi:10.1175/BAMS-D-15-00003.1.
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- Baran, A. J. (2003), Simulation of infrared scattering from ice aggregates using a size/shape distribution of ice cylinders, Appl. Opt., 42, 2811–2818.
- Baran, A. J. and P. N. Francis (2004), On the radiative properties of cirrus cloud at solar and thermal wavelengths: A test of model consistency using high-resolution airborne radiance measurements, Q. J. R. Meteorol. Soc., 130, 1–16.
- Baran, A. J. (2005), The dependence of cirrus infrared radiative properties in ice crystal geometry and shape of the size-distribution function, Q. J. R. Meteorol. Soc., 131, 1129–1142.
- Baran, A. J. (2012), From the single-scattering properties of ice crystals to climate prediction: A way forward, Atmos. Res., 112, 45–69, doi:10.1016/j.atmosres.2012.04.010.
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- Bates, J. R. (2007), Some considerations of the concept of climate feedback, Q. J. R. Meteorol. Soc., 133, 545–560, doi:10.1002/qj.62.
- Bell, T. L., M.-D. Chou, A. Y. Hou, and R. S. Lindzen (2002), Reply, Bull. Amer. Met. Soc., 598–600.
- Bengtsson, L., S. Hagemann, and K. I. Hodges (2004), Can climate trends be calculated from reanalysis data?, J. Geophys. Res., 109, D11111, doi:10.1029/2004JD004536.
- Berger, A., M. F. Loutre, and M. Crucifix (2003), The Earth's Climate in the next hundred thousand years (100 kry), Geophysics, 24, 117–138.
- Birkenheuer, D. (1998), P5.27A Radiance Assimilation of Polar and Geostationary Satellite Data in Laps, NOAA Forecasts systems Laboratory.
- Blunden, J. and D. S. Arndt (ed.) (2017), State of the Climate in 2016, Bull. Amer. Met. Soc., 98(8), Si–S277, doi:10.1175/2017BAMSStateoftheClimate.1.
- Blunden, J., D. S. Arndt, and G. Harfield (ed.) (2018), State of the Climate in 2017, Bull. Amer. Met. Soc., 99(8), Si–S310, doi:10.1175/2018BAMSStateoftheClimate.1.
- Blunden, J. and D. S. Arndt (ed.) (2019), State of the Climate in 2018, Bull. Amer. Met. Soc., 100(9), Si–S305, doi:10.1175/2019BAMSStateoftheClimate.1.
- Blunden, J. and D. S. Arndt (ed.) (2020), State of the Climate in 2019, Bull. Amer. Met. Soc., 101(8), Si–S429, doi:10.1175/2020BAMSStateoftheClimate.1.
- Blunden, J. and T. Boyer (ed.) (2021), State of the Climate in 2020, Bull. Amer. Met. Soc., 102(8), Si–S475, doi:10.1175/2021BAMSStateoftheClimate.1.
- Blunden, J. and T. Boyer (ed.) (2022), State of the Climate in 2021, Bull. Amer. Met. Soc., 103(8), Si–S465, doi:10.1175/2022BAMSStateoftheClimate.1.
- Blunden, J., T. Boyer, and E. Bartow-Gillies (ed.) (2023), State of the Climate in 2022, Bull. Amer. Met. Soc., 104(9), Si–S501, doi:10.1175/2023BAMSStateoftheClimate.1.
- Boer, G. J. and B. Yu (2003), Climate sensitivity and response, Climate Dynamics, 20, 415–429, doi:10.1007/s00382-002-0283-3.
- Bony, S., J.-L. Dufresne, H. Le Treut, J.-J. Morcrette, and C. Senior (2004), On dynamic and thermodynamic components of cloud changes, Climate Dynamics, 22(2), 71–86, doi:10.1007/s00382-003-0369-6.
- Bony, S., et al. (2005), How Well do we Understand Climate Change Feedback Processes?, J. Climate.
- Bony, S., R. Colman, V. M. Kattsov, R. P. Allan, C. S. Bretherton, J.-L. Dufresne, A. Hall, S. Hallegatte, M. M. Holland, W. Ingram, D. A. Randall, B. J. Soden, G. Tselioudis, and M. J. Webb (2006), How Well Do We Understand and Evaluate Climate Change Feedback Processes?, J. Climate, 19, 3445–3482.
- Boucher, O. and J. Haywood (2001), On summing the components of radiative forcing of climate change, Climate Dynamics, 18, 297–302.
- Boucher, O. (1999), Air traffic may increase cirrus cloudiness, Nature, 397, 30–31.
- Bourjaily, P. (1999), Nowcasting the Weather, Environmental News Network.
- Brands, S., S. Herrera, J. Fernández, and J. M. Gutiérrez (2013), How well do CMIP5 Earth System Models simulate present climate conditions in Europe and Africa?, Climate Dynamics, 41(3–4), 803–817, doi:10.1007/s00382-013-1742-8.
- Broecker, W. S. (1996), Chaotic Climate. Global temperatures have been known top change substantially in only a decade or two. Cloud another jump be in the offing?, Scient. Amer., 44–50.
- Brogniez, H., R. Roca, and L. Picon (2005), Evaluation of the distribution of subtropical free tropospheric humidity in AMIP-2 simulations using METEOSAT water vapor channel data, Geophys. Res. Lett., 32, doi:10.1029/2005GL024341.
- Brown, R. G. and C. Zhang (1997), Variability of Midtropospheric Moisture and Its Effect on Cloud-Top Height Distribution during TOGA COARE, J. Atmos. Sci., 54, 2760–2774.
- Bunde, A., J. Eichner, R. Govindan, S. Havlin, E. Koscielny-Bunde, D. Rybski, and D. Vjushin (2002), Power law persistende in the atmosphere: An ideal test bed for climate models, Universitaet Giessen, Bar-Ilan University, Potsdam Institute for Climate Impact Research.
- Byrne, M. P. and T. Schneider (2016), Narrowing of the ITCZ in a warming climate: Physical mechanisms, Geophys. Res. Lett., 43(21), 11350–11357, doi:10.1002/2016GL070396.
- Cavazos, T. and B. C. Hewitson (2005), Performance of NCEP–NCAR reanalysis variables in statistical downscaling of daily precipitation, Climate Research, 28(2), 95–107, doi:10.3354/cr028095.
- Cerveny, R. S. (2005), Charles Darwin's Meteorological Observations aboard the H.M.S. Beagle, Bull. Amer. Met. Soc., 1295–1301.
- Cess, R. D. (2005), Water Vapor Feedback in Climate Models, Science, 310, 795–796.
- Cess, R. D. (1974), Radiative transfer due to atmospheric water vapor: Global considerations of the Earth's energy balance, J. Quant. Spectrosc. Radiat. Transfer, 14(9), 861–871, doi:10.1016/0022-4073(74)90014-4.
- Chae, J. H. and S. C. Sherwood (2007), Annual temperature cycle of the tropical tropopause: A simple model study, J. Geophys. Res.: Atm., 112, D19111, doi:10.1029/2006JD007956.
- Charney, J. G., A. Arakawa, D. J. Baker, B. Bolin, R. E. Dickinson, R. M. Goody, C. E. Leith, H. M. Stommel, and C. I. Wunsch (1979), Carbon dioxide and climate: a scientific assessment, .
- Christy, J. R. and W. B. Norris (2004), What may we conclude about global tropospheric temperature trends?, Geophys. Res. Lett., 31, doi:10.1029/2003GL019361.
- Ciesielski, P. E., R. H. Johnson, P. T. Haertel, and J. Wang (2003), Corrected TOGA CORARE Sounding Humidity Data: Impact on Diagnosed Properties of Convection and Climate over the Warm Pool, J. Climate, 16, 2370–2384.
- Collins, W. D., J. K. Hackney, and D. P. Edwards (2002), An updated parameterization for infrared emission and absorption by water vapor in the National Center for Atmospheric Research Community Atmosphere Model, J. Geophys. Res., 107(D22), doi:10.1029/2001JD001365.
- Colman, R. (2003), A comparison of climate feedbacks in general circulation models, Climate Dynamics, 20, 865–873.
- Colman, R. (2003), Seasonal contributions to climate feedbacks, Climate Dynamics, 80, 825–841, doi:10.1007/s00382-002-0301-5.
- Colman, R. A. and B. J. McAvaney (1997), A study of general circulation model climate feedbacks determined from perturbed seasurface temperature experiments, J. Geophys. Res., 102(D16), 19383–19402, doi:10.1029/97JD00206.
- Cook, K. H. (2003), Role of Continents in Driving the Hadley Cells, J. Atmos. Sci., 60, 957–976.
- Cooper, O. R., J. L. Moody, D. D. Parrish, M. Trainer, T. B. Ryerson, J. S. Holloway, G. Huebler, F. C. Fehsenfeld, S. J. Oltmans, and M. J. Evans (2001), Trace gas signatures of the airstreams within North Atlantic cyclones: Case studies from the North Atlantic Regional Experiment (NARE'97) aircraft intensive, J. Geophys. Res., 106(D6), 5437–5456.
- Cubasch, U. (1992), Das Klima der naechsten 100 Jahre, Physikalsiche Blaetter, 48(2), 85–89.
- Cubasch, U., B. D. Santer, and G. C. Hegerl (1995), Klimamodelle- wo stehen wir? Erreichtes und Probleme bei der Vorhersage und dem Nachweis anthropogener Klimaaenderungen mit globalen Klimamodellen, Physikalische Blaetter, 51(4), 269–176.
- Dai, A. and K. E. Trenberth (2004), The Diurnal Cycle and Its Depiction in the Community Climate System Model, J. Climate, 17, 930–951.
- Dalu, G. A., M. Gaetani, R. A. Pielke Sr., M. Baldi, and G. Maracchi (2004), Regional Variability of the ITCZ and of the Hadley Cell, Int. J. Climatol.
- Deblonde, G. (2000), Evaluation of FASTEM and FASTEM2, Data Assimilation and Satellite Meteorology Division.
- De Freitas, C. R. (2002), Are observed changes in the concentration of carbon dioxide in the atmosphere really dangerous?, University of Auckland.
- 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.
- DelGenio, A. D. (2002), GCM simulations of cirrus for climate studies, In: Cirrus, pp. 310–326, Edited by Lynch, D. K., K. Sassen, D. Starr, and G. Stephens, Oxford University Press.
- DelGenio, A. D., M.-S. Yao, W. Kovari, and K. K.-W. Lo (1996), A Prognostic Cloud Water Parameterization for Global Climate Models, J. Climate, 9(2), 270–304.
- Del Genio, A. D. (1111), The Global Water Cycle and Climate Change, NASA Goddard Institute for Space Studies.
- Desbois, M., L. Picon, and R. Roca (xx), The Role of Atmospheric Water Vapour on Climate, Laboratoire de Meterologie Dynamique, Ecole Polytechnique-CNRS, France.
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- Bibtex key: thies11:_satellite_ma
- Keywords: review (25), climate (348), geostationary (11), ir/vis (19), microwave (101), limb sounding (28), radar (25), precipitation (84), clouds (499), radiation (148), surface (51), wind (7), water vapor (409)
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