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Global Precipitation – combining different sources of to gain a more representative global view MCT*=TRMM+ CloudSat +AMSR-E + diurnal cycle (Behrangi et al, 2012) Global mean MCT*-GPCP ~ 5% I MCT*-GPCP I ~10% Behrangi et al., 2013
Snowfall observations: CloudSat provides the 1 st real spaceborne global observations (IPWG) further adding valuable information about precipitation CloudSat global snowfall product – the only real global product but how good is it? It’s a challenge to retrieve and a challenge to validate.
Page 1 and 2: A-Train formulation with the arriva
Page 3 and 4: A-Train science is having an profou
Page 6 and 7: Selected highlights with a little i
Page 8 and 9: A-Train demonstrated how formation
Page 10 and 11: Example of combining data CloudSat,
Page 12 and 13: The classic Riehl and Malkus “hot
Page 14 and 15: Buoyancy Entrainment rate ΔT = T p
Page 16 and 17: A-Train reveals important insights
Page 18 and 19: Aerosol effects on clouds - largest
Page 20 and 21: The more global picture from the A-
Page 22 and 23: A- Train Precipitation
Page 24 and 25: MODIS Insight on the rain process -
Page 28 and 29: Summary (i) New science continues t
Page 31 and 32: Comparison of level 2 products Asse
Page 33 and 34: CloudSat-CALIPSO-AMSR-E data docume
Page 35 and 36: Multi-sensor fusion - new insights
Page 37 and 38: Access to Information • Public av
Page 39 and 40: NASA A-Train member missions NASA E
Page 41 and 42: Sensor data used A-Train What is pr
Page 43 and 44: A-Train Science Concepts 4 slides f
Page 45 and 46: Leadership • Mission leads (Princ
Page 47 and 48: Open Validation • Sustained calib
Page 49 and 50: Identifying core cloud Tested sever
Page 52 and 53: A-Train Constellation Evolution Aqu

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