Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A‐Train” satellite observations

Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A‐Train” satellite observations

Source :

• Journal of Geophysical Research: Atmospheres [ 0148-0227 ] ; 2012-07-27.

Descripteurs français

• Wicri :
  • topic : Changement climatique, Simulation.

English descriptors

• KwdEn :
  • Airs, Aogcm, Aqua, Atmos, Atmospheric research, Aura, Bccr, Bccr bcm2, Bcm2, Best estimate, Better agreement, Boundary layer, California institute, Cam5, Canesm2, Cccma, Cccma canesm2, Cccma canesm2 cnrm, Centre, Cgcm3, Cgcm3 ncar cam5, Clim, Climate change, Climate modeling, Climate models, Climate research, Climate sensitivity, Clivi, Cloud microphysics, Cloudsat, Cloudsat nopcp, Clwvi, Cm5a, Cmip3, Cmip3 counterparts, Cmip3 models, Cmip5, Cmip5 climate models, Cmip5 model, Cmip5 models, Cnrm, Convection, Convective, Csiro, Csiro gfdl, Csm1, Csm1 cccma, Data sets, Diurnal variations, Geophys, Gfdl, Gfdl models, Gh2o, Giss, Giss giss, Giss models, Giwc, Global, Gray area, Gray band, Grid, Hadgem2, High latitude, High latitudes, Indirect aerosol effect, Interdisciplinary research, Ipcc, Ipsl, Ipsl cm5a, Ipsl cm5a miroc miroc4h miroc miroc5, Jiang, Large spread, Lett, Liquid clouds, Longitude latitude, Lower troposphere, Lwps, Measurement uncertainties, Meteorol, Microphysics, Middle troposphere, Midlatitude, Midlatitudes, Miroc, Miroc miroc5, Miroc4h, Miroc5, Model biases, Model description, Model differences, Model outputs, Model performance, Model performances, Model simulations, Model simulations figure, Modeling, Modis, Multimodel, Multiyear, Nasa, Ncar, Ncar cam5, Nopcp, Noresm, Noresm ukmo ukmo ukmo, Norwegian climate centre, Numerical mathematics, Numerical values, Observational uncertainties, Observational uncertainty, Observational uncertainty limits, Oceanic, Oceanic regions, Office hadley centre, Performance scores, Phys, Precipitation, Pressure level, Pressure levels, Propulsion laboratory, Retrieval, Rotstayn, Simulating, Simulation, Space studies, Spatial, Spatial correlation, Spatial correlations, Spatial distributions, Spatial variance, Spatial variances, Spatial variations, Standard deviation, Standard deviations, Stratiform clouds, Taylor diagram, Taylor diagrams, Total water vapor content, Tropics, Tropopause, Troposphere, Tropospheric, Ukmo, Ukmo hadgem2, Ukmo models, Uncertainty limits, Upper troposphere, Upper tropospheric water vapor, Variance, Vertical integral, Vertical profiles, Vertical structure, Waliser, Water content, Water path, Water vapor, Water vapor content, Water vapor simulations, Wvps, Zonal.
• Teeft :
  • Airs, Aogcm, Aqua, Atmos, Atmospheric research, Aura, Bccr, Bccr bcm2, Bcm2, Best estimate, Better agreement, Boundary layer, California institute, Cam5, Canesm2, Cccma, Cccma canesm2, Cccma canesm2 cnrm, Centre, Cgcm3, Cgcm3 ncar cam5, Clim, Climate change, Climate modeling, Climate models, Climate research, Climate sensitivity, Clivi, Cloud microphysics, Cloudsat, Cloudsat nopcp, Clwvi, Cm5a, Cmip3, Cmip3 counterparts, Cmip3 models, Cmip5, Cmip5 climate models, Cmip5 model, Cmip5 models, Cnrm, Convection, Convective, Csiro, Csiro gfdl, Csm1, Csm1 cccma, Data sets, Diurnal variations, Geophys, Gfdl, Gfdl models, Gh2o, Giss, Giss giss, Giss models, Giwc, Global, Gray area, Gray band, Grid, Hadgem2, High latitude, High latitudes, Indirect aerosol effect, Interdisciplinary research, Ipcc, Ipsl, Ipsl cm5a, Ipsl cm5a miroc miroc4h miroc miroc5, Jiang, Large spread, Lett, Liquid clouds, Longitude latitude, Lower troposphere, Lwps, Measurement uncertainties, Meteorol, Microphysics, Middle troposphere, Midlatitude, Midlatitudes, Miroc, Miroc miroc5, Miroc4h, Miroc5, Model biases, Model description, Model differences, Model outputs, Model performance, Model performances, Model simulations, Model simulations figure, Modeling, Modis, Multimodel, Multiyear, Nasa, Ncar, Ncar cam5, Nopcp, Noresm, Noresm ukmo ukmo ukmo, Norwegian climate centre, Numerical mathematics, Numerical values, Observational uncertainties, Observational uncertainty, Observational uncertainty limits, Oceanic, Oceanic regions, Office hadley centre, Performance scores, Phys, Precipitation, Pressure level, Pressure levels, Propulsion laboratory, Retrieval, Rotstayn, Simulating, Simulation, Space studies, Spatial, Spatial correlation, Spatial correlations, Spatial distributions, Spatial variance, Spatial variances, Spatial variations, Standard deviation, Standard deviations, Stratiform clouds, Taylor diagram, Taylor diagrams, Total water vapor content, Tropics, Tropopause, Troposphere, Tropospheric, Ukmo, Ukmo hadgem2, Ukmo models, Uncertainty limits, Upper troposphere, Upper tropospheric water vapor, Variance, Vertical integral, Vertical profiles, Vertical structure, Waliser, Water content, Water path, Water vapor, Water vapor content, Water vapor simulations, Wvps, Zonal.

Abstract

• https://api.istex.fr/document/E060ECC1441E1D8892ECC51A5753E3308BE4E59D/fulltext/pdf

Affiliations:

• Australie, Canada, France, Japon, Norvège, Royaume-Uni, Russie, République populaire de Chine, États-Unis
• Californie, Colorado, District fédéral central, New Jersey, Région de Kantō, Wisconsin, État de New York, Île-de-France, Østlandet
• Moscou, Oslo, Paris, Pékin, Tokyo
• Université de Tokyo

Links toward previous steps (curation, corpus...)

• to stream Istex, to step Corpus: 002997
• to stream Istex, to step Curation: 002997
• to stream Istex, to step Checkpoint: 000608
• to stream Main, to step Merge: 005950
• to stream Main, to step Curation: 005683

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Asie/explor/AustralieFrV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 005683 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 005683 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Asie
   |area=    AustralieFrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     ISTEX:E060ECC1441E1D8892ECC51A5753E3308BE4E59D
   |texte=   Evaluation of cloud and water vapor simulations in CMIP5 climate models using NASA “A‐Train” satellite observations
}}

This area was generated with Dilib version V0.6.33. Data generation: Tue Dec 5 10:43:12 2017. Site generation: Tue Mar 5 14:07:20 2024