CALIPSO, CloudSat, CERES, and MODIS Merged Data Product
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1 CALIPSO, CloudSat, CERES, and MODIS Merged Data Product Seiji Kato 1, Sunny Sun-Mack 2, Walter F. Miller 2, Fred G. Rose 2, and Victor E. Sothcott 2 1 NASA Langley Research Center 2 Science and Systems and Applications, Inc.
2 CALIPSO-CloudSat-CERES-MODIS Merged Product Funded by the NASA Energy Water Cycle Study (NEWS) project. Expected contribution of the product To provide a global data set along the lidar/radar ground track with the most accurate and comprehensive aerosol properties, cloud properties, and vertical radiative flux profiles to climate researchers. Area of studies that are greatly improved by our data set includes: 1. Assimilation and prediction by global aerosol models through better understanding of aerosol layer location. 2. Better understanding of multi-layered and polar cloud systems and their radiative impacts. 3. Better understanding of frequency of occurrence of thin cirrus and boundary layer clouds and their radiative impacts.
3 CALIPSO-CloudSat-MODIS merging
4 CALIPSO CloudSat MODIS merging with CERES
5 Variables included in the product Cloud (up to 16 cloud groups within a CERES footprint) and aerosol vertical profiles. CALIPSO-derived aerosol optical thickness CALIPSO-derived aerosol types CALIPSO-derived cloud extinction profiles Precipitation flag from CloudSat Atmospheric temperature, water vapor and heating rate profiles. MODIS derived spectral surface albedo and snow and ocean spectral albedos from Jin s model MODIS derived cloud properties (ed3 and enhanced algorithms)
6 Cloud masking strategy Cloud Boundary CALIPSO CloudSat Merged Cloud Boundary Top Detected Detected Higher Cloud Top Top Detected Undetected CALIPSO Cloud Top Top Undetected Detected CloudSat Cloud Top Base Not Attenuated Undetected CALIPSO Cloud Base Base Not Attenuated Detected CALIPSO Cloud Base Base Attenuated Detected CloudSat Cloud Base Base Attenuated Undetected CALIPSO lowest unattenuated level
7 Merged clouds Cloud occurrence within 200 vertical by 1 degree latitude layers
8 Enhanced CERES-MODIS cloud algorithm Change MODIS-derived cloud top height to match CALIPSO-CloudSat derived cloud top height. If 0.3 < tau < 2 then place MODIS cloud top at tau/2 If tau>2 then place MODIS cloud top at tau = 1.
9 Flux computations CALIPSO-CloudSat cloud mask. CALIPSO and CloudSat derived extinction profiles are scaled by MODIS derived optical thickness. MODIS derived cloud particle size. CALIPSO-derived aerosol optical thickness. If CALIPSO aerosols are not available, MODIS-derived or MATCH aerosol optical thickness.
10 Heating rate profile Co-latitude Radiative effect of Cirrus, cloud overlap, cloud-aerosol overlap
11 Comparison with CERES fluxes
12 Preliminary comparison (1 orbit) CALIPSO+CloudS at + Ed3 clouds (W m^-2) CALIPSO+CloudS at+ Enhanced clouds (W m^-2) SW Model - Obs. (RMS Diff.) 12.6 (50.0) 8.8 (47.5) LW Model - Obs. (RMS Diff.) -1.3 (24.0) 1.0 (19.2)
13 Cloud vertical correlation length
14 Flow schematic of C3M processing Clouds SARB
15 Schedule 2008: Validation of the product 2008: Comparison with CloudSat heating profiles Production: Spring 09, starting from July 2006.
16 Backups
17 CALIPSO, CloudSat, CERES, and MODIS (C3M) Cloud and aerosol vertical profiles derived from CALIPSO and CloudSat are collocated CALIPSO and CloudSat cloud profiles are grouped and saved up to 16 different profiles. All MODIS-derived cloud and aerosol properties that are included in SSF over ground track of CALIPSO and CloudSat and the entire CERES footprint are included MODIS-derived spectral surface albedo Radiative flux profiles
18 Work has been done so far Merged 1 month(april 2007) of CALIPSO (VFM), CloudSat (CLOUDCLAS), and MODIS. Developed best cloud mask strategy Developed surface albedo algorithm Made the draft of C3M data catalog
19 Missed by CALIPSO
20 Missed by CloudSat
21 CALIPSO-CloudSat-CERES-MODIS Merged Product Cloud overlap profiles CALIPSO and ClousSat Cloud and aerosol properties CALIPSO, CloudSat, and MODIS TOA Irradiances CERES Irradiance profiles Radiative transfer model Cloud layers Aerosol layers
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