New Multi-Sensor Water Vapor Climate Data Record Using Cloud Classification, Version 3.1 in NetCDF4 format, part of the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Program.
The Goddard Earth Sciences Data and Information Services Center (GES DISC) is pleased to announce the release of the Multi-Sensor Water Vapor Climate Data Record Using Cloud Classification Version 3.1 in NetCDF4 format, as part of the NASA Making Earth Science Data Records for Use in Research Environments (MEaSUREs) Program. Eric Fetzer is Principal Investigator.
Water vapor and temperature are linked to clouds through physical processes. At the same time, the ability to observe water vapor from space is affected by clouds and precipitation since hydrometeors interact with electromagnetic radiation at remote sensing wavelengths. This data set accounts for all AIRS/AMSU scenes considered (including those without retrieved physical parameters), and puts them in the context of simultaneously observed cloud state from CloudSat.
The data products include 3 general types. The matchup indices product (AIRS_CPR_IND) is in text format and contains the AIRS-CloudSat matchup indices in both AIRS and AMSU resolutions. The AIRS merged data (AIRS_CPR_MAT) and AMSU merged data (AIRSM_CPR_MAT) products consist of CloudSat scenes matched to collocated AIRS and AMSU scenes, respectively, in NetCD4 format; these comprise about 1/30 of all AIRS/AMSU scenes. In the near future, we will provide level 3 data set which summarize AIRS/AMSU temperature and water vapor for distinct CloudSat cloud conditions. These are illustrated in the Figures below.
Figure 1. Co-registering Level 2 data sets: AIRS/AMSU-CloudSat matching.
Figure 2. AIRS/AMSU-CloudSat matched Level 2 data. Color fill shows CloudSat classes (Sassen and Wang, 2008)
Figure 3. Dominant CloudSat scene types in AIRS/AMSU fields of view when AIRS/AMSU retrieves to surface (left) and independent of AIRS/AMSU retrieval success (right). Tallest bar on right represents AIRS retrievals that did not reach the surface.
Figure 4. Relationship between AIRS/AMSU retrieval success (percent of scenes) and CloudSat cloud types.
Figure 5. Differences between mean AIRS/AMSU and ECMWF reanalysis equivalent potential temperature (top) and water vapor (bottom), by CloudSat cloud state. Colors are indicated in Figure 4.
All of the WVCC data types are available along with documentation from the Goddard Earth Sciences Data and Information Services Center MEaSUREs Portal http://disc.sci.gsfc.nasa.gov/measures. Available data access methods and dataset descriptions can be accessible through the portals Data Holdings page
or directly by one of the following methods:
- The search and download interface Mirador, using keywords:
- Anonymous FTP access is available from:
- Additional dataset descriptions are available in the Global Change Master Directory:
Sassen, K., and Wang, Z. (2008) Classifying clouds around the globe with the CloudSat radar: 1-year of results.
Geophysical Research Letters, 35, L04805, doi:10.1029/2007GL032591
Text and figures provided by Gerald Manipon and Eric Fetzer. Editing and publishing provided by Andrey Savtchenko
Funding for WVCC is provided by the NASA MEaSUREs Program.
Questions on these and other data holdings can be sent to the GES DISC help desk