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Dataset | Atmospheric model and its resolution/data assimilation method/reanalysis features | Predictors for cloud fraction |
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ERA-40 [67] | ECMWF cy13r4 T159 (80 km) L60 6 hr/3D VAR | Cloud fraction is fully prognostic (due to the mass balance equations for cloud water/ice and cloud air) [77] |
ERA-Interim [68] | ECMWF cy29r1 T255 (50 km) L60 6 hr/4D VAR/weather station observations and new satellite data are assimilated | The same as for ERA-40 with several important modifications [68] |
JRA-25 [74] | JMA/CRIEPI T160 (120 km) L40 6 hr/3D VAR | Water mixing ratio and the liquid water potential temperature [73] |
NASA-MERRA [76] | GEOS-5 50 km L72 6 hr/3D VAR/new satellite data are assimilated | Prognostic cloud and a single-phase condensate with two species of condensate: “anvil” (originating from detraining convection) and large scale [78] |
NCEP-CFSR [69] | NCEP GSI T382 (32 km) L64 6 hr/3D VAR/atmospheric model is coupled with the ocean, land, and sea ice analysis | Prognostic cloud condensate, water mixing ratio, and the liquid water potential temperature [73, 78] |
NCEP/DOE [72] NCEP/NCAR [66] | NCEP T62 (210 km) L28 6hr / 3D VAR | Relative humidity (empirical relationship), prognostic convective precipitation rate [71] |
NOAA-CIRES 20CR [70] | NCEP GFS T62 (210 km) L28 6 hr/ensemble Kalman filter/only surface pressure is assimilated | Prognostic cloud condensate, water mixing ratio, and the liquid water potential temperature [73, 78] |
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