Table 3: Reanalyses information.

DatasetAtmospheric model and its resolution/data assimilation method/reanalysis featuresPredictors for cloud fraction

ERA-40 [67]ECMWF cy13r4 T159 (80 km) L60 6 hr/3D VARCloud 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 assimilatedThe same as for ERA-40 with several important modifications [68]
JRA-25 [74]JMA/CRIEPI T160 (120 km) L40 6 hr/3D VARWater 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 assimilatedPrognostic 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 analysisPrognostic 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 VARRelative 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 assimilatedPrognostic cloud condensate, water mixing ratio, and the liquid water potential temperature [73, 78]